Science et Vie

Les parutions sur ScienceDirect. Mot clé : "Muscle"

Connectez-vous au portail de l'université pour bénéficier pleinement de ce service
  • Towards unravelling the relationship between on-body, environmental and emotion data using sensor information fusion approach
    27 juin 2017
    Publication date: March 2018
    Source:Information Fusion, Volume 40

    Author(s): Eiman Kanjo, Eman M.G. Younis, Nasser Sherkat

    Over the past few years, there has been a noticeable advancement in environmental models and information fusion systems taking advantage of the recent developments in sensor and mobile technologies. However, little attention has been paid so far to quantifying the relationship between environment changes and their impact on our bodies in real-life settings. In this paper, we identify a data driven approach based on direct and continuous sensor data to assess the impact of the surrounding environment and physiological changes and emotion. We aim at investigating the potential of fusing on-body physiological signals, environmental sensory data and on-line self-report emotion measures in order to achieve the following objectives: (1) model the short term impact of the ambient environment on human body, (2) predict emotions based on-body sensors and environmental data. To achieve this, we have conducted a real-world study ‘in the wild’ with on-body and mobile sensors. Data was collected from participants walking around Nottingham city centre, in order to develop analytical and predictive models. Multiple regression, after allowing for possible confounders, showed a noticeable correlation between noise exposure and heart rate. Similarly, UV and environmental noise have been shown to have a noticeable effect on changes in ElectroDermal Activity (EDA). Air pressure demonstrated the greatest contribution towards the detected changes in body temperature and motion. Also, significant correlation was found between air pressure and heart rate. Finally, decision fusion of the classification results from different modalities is performed. To the best of our knowledge this work presents the first attempt at fusing and modelling data from environmental and physiological sources collected from sensors in a real-world setting.





  • Effect of dietary vitamin E on physicochemical and fatty acid stability of fresh and thawed lamb
    27 juin 2017
    Publication date: 15 January 2018
    Source:Food Chemistry, Volume 239

    Author(s): M. Bellés, L.N. Leal, V. Díaz, V. Alonso, P. Roncalés, J.A. Beltrán

    This study evaluated the effect of dietary vitamin E supplementation (1000mg of DL-α-tocopheryl acetate/kg of basal diet) on physicochemical and fatty acid stability of fresh and thawed lamb leg chops, frozen stored for 3, 6 and 9months. Legs were chopped, modified atmosphere packaged (70%O2/30%CO2) and maintained under retail conditions (4±0.5°C, with 14h fluorescent light) for 9days. Muscle α-tocopherol concentration was over 3.5-fold higher in supplemented samples than in control lambs. The effect of dietary vitamin E was independent of frozen storage, so these effects were analysed separately. Vitamin E supplementation reduced lipid oxidation (P 0.001) and decreased metmyoglobin formation, leading to a more attractive colour of meat. Moreover, supplementation led to a higher percentage of polyunsaturated fatty acids. Therefore, vitamin E supplementation could be recommended for preserving either fresh or thawed lamb.





  • Inhibitory effects of Sichuan pepper (Zanthoxylum bungeanum) and sanshoamide extract on heterocyclic amine formation in grilled ground beef patties
    27 juin 2017
    Publication date: 15 January 2018
    Source:Food Chemistry, Volume 239

    Author(s): Maomao Zeng, Junhui Wang, Mengru Zhang, Jing Chen, Zhiyong He, Fang Qin, Zhimin Xu, Dongsheng Cao, Jie Chen

    This study evaluated the inhibitory effects of Sichuan pepper (Zanthoxylum bungeanum) and sanshoamide extract on the formation of heterocyclic amines (HAs) in grilled beef patties. The following major HAs were detected and quantified: imidazopyridine (2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine, PhIP), imidazoquinoxalines (2-amino-3-methyl-3H-imidazo[4,5-f]quinoxaline, IQx; 2-amino-3,8-dimethylimidazo[4,5-f]quinoxaline, MeIOx; 2-amino-3,4,8-trimethyl-3H-imidazo[4,5-f]quinoxaline, 4,8-DiMeIQx) and β-carbolines (9H-pyrido[3,4-b]indole, norharman; 1-methyl-9H-pyrido[3,4-b]indole, harman). The rates of PhIP, IQx, MeIQx and 4,8-DiMeIQx were inhibited significantly by 82%, 61%, 28% and 79%, respectively, in patties treated with a low-concentration of pepper (0.5%), and by 27%, 45%, 44% and 26%, respectively, following treatment with a low-concentration sanshoamide extract (0.005%). All inhibition rates exceeded 70% at pepper and sanshoamide extract concentrations of 1.0% and 0.010%, respectively. Harman and norharman could be significantly (p<0.05) enhanced by the addition of all concentrations of Sichuan pepper, however, sanshoamide extract had no significant (p>0.05) effect on them, although 0.005% of the extract could slightly increase the formation of them. Notably, significant correlations were observed between the HA inhibition rates and pepper or sanshoamide extract concentrations, especially for PhIP (r=0.87, p=2.30E−3), IQx (r=0.99, p=5.04E−7) and 4,8-DiMeIQx (r=0.88, p=1.96E−3). These results indicate that Sichuan pepper and sanshoamide extract could inhibit the formation of carcinogenic HAs during thermal preparation of protein-rich foods, and therefore might reduce the risk of chronic diseases associated with the long-term intake of HA-containing food products.





  • Phenolic contents, cellular antioxidant activity and antiproliferative capacity of different varieties of oats
    27 juin 2017
    Publication date: 15 January 2018
    Source:Food Chemistry, Volume 239

    Author(s): Chao Chen, Li Wang, Ren Wang, Xiaohu Luo, Yongfu Li, Juan Li, Yanan Li, Zhengxing Chen

    The objectives of this research were to determine the phenolic contents, oxygen radical absorbance capacities (ORAC), cellular antioxidant activities (CAA), and antiproliferative capacities of nine oat varieties and four brans in China. Of all varieties, Longyan 3 and Beiyan 1 exhibited the highest total avenanthramides (146.94±7.31 and 120.95±6.66µg/g, respectively) and ORAC values (21.03±0.56 and 21.18±1.45µM Trolox/g, respectively), while Shaotong exhibited the highest total phenolic acids (143.52±9.42µg/g) and CAA values (33.38±1.74µM quercetin/100g). The EC50 of antiproliferative capacities ranged from 167.31±6.42 to 233.42±21.31mg/mL, with the lowest in Beixiao 8 while the highest in Jinyan 8. ORAC values correlated with avenanthramides while CAA values correlated with phenolic acids. Moreover, phenolic contents, antioxidant properties, and antiproliferative capacities of oat brans was higher than that of corresponding whole oats in most cases.





  • Chapter 10 Cardiac Magnetic Resonance Imaging
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Paaladinesh Thavendiranathan, Scott D. Flamm







  • Chapter 14 Chest Pains and Angina
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Alisa Thamwiwat, Glenn N. Levine







  • Chapter 17 ST-Elevation Myocardial Infarction
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Glenn N. Levine







  • Chapter 18 Cardiogenic Shock
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Hani Jneid







  • Chapter 19 Percutaneous Coronary Intervention
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Ali E. Denktas, Cindy Grines







  • Chapter 21 Myocarditis
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Catalina Sanchez Alvarez, Leslie T. Cooper







  • Chapter 22 Dilated Cardiomyopathy
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Shaden Khalaf, Glenn N. Levine, Biykem Bozkurt







  • Chapter 24 Hypertrophic Cardiomyopathy
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Lothar Faber







  • Chapter 26 Acute Decompensated Heart Failure
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): G. Michael Felker, Marat Fudim







  • Chapter 27 Heart Failure
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Luke Cunningham, Glenn Levine, Biykem Bozkurt







  • Chapter 28 Heart Transplantation
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Savitri Fedson







  • Chapter 40 Cardiac Arrest and Resuscitation
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Vu Hoang, Glenn N. Levine







  • Chapter 42 Hyperlipidemia
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Ozlem Bilen, Salim Virani, Vijay Nambi







  • Chapter 43 Diabetes and Cardiovascular Disease
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Mandeep S. Sidhu, Michael E. Farkouh







  • Chapter 45 Physical Activity, Exercise, and the Heart
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Megan Titas, Eric Awtry, Gary J. Balady







  • Chapter 46 Cardiac Manifestations of HIV/AIDS
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Amy French, Sheilah Bernard







  • Chapter 49 Cocaine and the Heart
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Fawad Virk, James McCord







  • Chapter 52 Heart Disease in Women
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Jaya Chandrasekhar, Roxana Mehran







  • Chapter 54 Peripheral Arterial Disease
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Elias Kfoury, Panos Kougias







  • Chapter 55 Aortic Aneurysm
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Andrew Vekstein, Haytham Elgharably, Faisal G. Bakaeen, Eric E. Roselli







  • Chapter 65 Hypertensive Crisis
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Nicholas Governatori, Charles V. Pollack







  • Chapter 69 Pulmonary Hypertension
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Lavannya M. Pandit, Zeenat Safdar







  • Chapter 71 Traumatic Heart Disease
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Fernando Boccalandro, Hercilia Von Schoettler







  • Index
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets









  • Neuro-Ophthalmology/Orbit
    27 juin 2017
    Publication date: 2018
    Source:Case Reviews in Ophthalmology

    Author(s): Neil J. Friedman, Peter K. Kaiser







  • Pediatric Ophthalmology/Strabismus
    27 juin 2017
    Publication date: 2018
    Source:Case Reviews in Ophthalmology

    Author(s): Neil J. Friedman, Peter K. Kaiser







  • Anterior Segment
    27 juin 2017
    Publication date: 2018
    Source:Case Reviews in Ophthalmology

    Author(s): Neil J. Friedman, Peter K. Kaiser







  • Posterior Segment
    27 juin 2017
    Publication date: 2018
    Source:Case Reviews in Ophthalmology

    Author(s): Neil J. Friedman, Peter K. Kaiser







  • Index
    27 juin 2017
    Publication date: 2018
    Source:Case Reviews in Ophthalmology









  • 1 Sinus node and atrioventricular conduction disease
    27 juin 2017
    Publication date: 2018
    Source:Case Studies in Clinical Cardiac Electrophysiology

    Author(s): John M. Miller, Mithilesh K. Das, Douglas P. Zipes







  • 5 Left lateral concealed pathway supraventricular tachycardia
    27 juin 2017
    Publication date: 2018
    Source:Case Studies in Clinical Cardiac Electrophysiology

    Author(s): John M. Miller, Mithilesh K. Das, Douglas P. Zipes







  • 7 Atriofascicular pathway supraventricular tachycardia
    27 juin 2017
    Publication date: 2018
    Source:Case Studies in Clinical Cardiac Electrophysiology

    Author(s): John M. Miller, Mithilesh K. Das, Douglas P. Zipes







  • 9 Fasciculoventricular pathway
    27 juin 2017
    Publication date: 2018
    Source:Case Studies in Clinical Cardiac Electrophysiology

    Author(s): John M. Miller, Mithilesh K. Das, Douglas P. Zipes







  • 15 Atrial reentry after pulmonary vein isolation for atrial fibrillation
    27 juin 2017
    Publication date: 2018
    Source:Case Studies in Clinical Cardiac Electrophysiology

    Author(s): John M. Miller, Mithilesh K. Das, Douglas P. Zipes







  • 20 Papillary muscle ventricular ectopy
    27 juin 2017
    Publication date: 2018
    Source:Case Studies in Clinical Cardiac Electrophysiology

    Author(s): John M. Miller, Mithilesh K. Das, Douglas P. Zipes







  • 22 Reentrant fascicular ventricular tachycardia
    27 juin 2017
    Publication date: 2018
    Source:Case Studies in Clinical Cardiac Electrophysiology

    Author(s): John M. Miller, Mithilesh K. Das, Douglas P. Zipes







  • 24 Ventricular tachycardia after remote infarction
    27 juin 2017
    Publication date: 2018
    Source:Case Studies in Clinical Cardiac Electrophysiology

    Author(s): John M. Miller, Mithilesh K. Das, Douglas P. Zipes







  • Index
    27 juin 2017
    Publication date: 2018
    Source:Case Studies in Clinical Cardiac Electrophysiology









  • 1 Epidemiology of Chronic Coronary Artery Disease
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): Peter W.F. Wilson, Christopher J. O’Donnell







  • 3 Genetics of Coronary Atherosclerosis
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): Krishna G. Aragam, Sekar Kathiresan







  • 4 Basic Mechanisms of Atherosclerosis
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): Magnus Bäck, Goran Hansson







  • 5 Coronary Microvascular Dysfunction
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): Paolo G. Camici, Ornella E. Rimoldi, Filippo Crea







  • 6 Precipitants of Myocardial Ischemia
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): Daniel Sedehi, Joaquin E. Cigarroa







  • 8 Lipid Measurements
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): Anand Rohatgi







  • 9 Standard and Novel Biomarkers
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): Stefan Blankenberg, Tanja Zeller







  • 10 ECG and Standard Exercise Stress Testing
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): George Rodgers, Kristopher Heinzman








 

Les parutions sur ScienceDirect. Mot clé "Stiffness"

Connectez-vous au portail de l'université pour bénéficier pleinement de ce service
  • A unit-compressible modular robotic system and its self-configuration strategy using meta-module
    27 juin 2017
    Publication date: February 2018
    Source:Robotics and Computer-Integrated Manufacturing, Volume 49

    Author(s): Zhen Yang, You Wu, Zhuang Fu, Jian Fei, Hui Zheng

    Many modular robots can be configured together to constitute a system. However, it is yet difficult to accomplish the configuration tasks by modules themselves since there are many constraints in a system. Introducing the meta-module into control strategy may realize the self-configuration by reducing constraints. Based on this idea, this paper presents a novel self-configuration strategy for a unit-compressible modular robotic system. First, a hardware system called M-Lattice that allows to construct a planar hexagonal lattice of robots is introduced. By using a special motion mode to move modules, this system is able to reduce the local constraints. A kinematics analysis and two prototype robots are presented to demonstrate this ability. Then, a novel self-configuration strategy based on the concept of meta-module is proposed. The meta-module is a small group of basic modules that work cooperatively as one intelligent unit. Every meta-module can self-configure in the system by itself and the global constraints are effectively reduced at the same time. The overall performance of the proposed strategy is evaluated with simulations and the simulation results show that it has a fine performance in scalability as well as robustness.





  • High-accuracy wire electrical discharge machining using artificial neural networks and optimization techniques
    27 juin 2017
    Publication date: February 2018
    Source:Robotics and Computer-Integrated Manufacturing, Volume 49

    Author(s): A. Conde, A. Arriandiaga, J.A. Sanchez, E. Portillo, S. Plaza, I. Cabanes

    For many industrial sectors, high-added value components are related to high accuracy manufacturing technologies. Wire Electrical Discharge Machining (WEDM) is an advanced non-conventional machining method commonly used in the production of precision components in extremely hard materials. The precision of the process depends largely on the deformation of the wire tool. Whilst theoretical models allow a scientific understanding of the causes of a lack of accuracy, they still lack the level of precision required to predict actual deviations in industrial products. In this work, we propose a way to predict the accuracy of components produced by WEMD by using an Elman-based Layer Recurrent Neural Network (LRNN). The results reveal that the average deviation between network predictions and actual components is below 6μm, which implies extremely good performance of the net. In a further step, an algorithm was proposed for designing wire paths of variable radius, so that the deviations in the machined parts can be corrected via software. By combining the predictions of the developed LRNN with the Simulated Annealing (SA) optimization technique, wire paths of variable radius can be designed, so that radial deviations due to wire deformations can be minimized. The results show that the new proposal is very efficient in those situations in which wire deformation is greatest. In other words, when the part radius is low and part height is large, the stiffness of the wire is reduced and the error of the part sharply increases. In these cases, the average deviation was reduced by as much as 80%, and the Coefficient of Variation (CV ) was decreased by 43%. The solution can be readily implemented on any existing WEDM machine.





  • Design of a force-controlled end-effector with low-inertia effect for robotic polishing using macro-mini robot approach
    27 juin 2017
    Publication date: February 2018
    Source:Robotics and Computer-Integrated Manufacturing, Volume 49

    Author(s): Abd El Khalick Mohammad, Jie Hong, Danwei Wang

    In this paper, the novel design of a force-controlled end-effector for automated polishing processes is presented. The proposed end-effector is to be integrated into a macro-mini robot polishing cell. The macro robot (in this study, it is a six-axis industrial robot) is used to position the mini robot (the proposed end-effector) according to the workpiece profile while the mini robot controls the polishing force. Th end-effector has a polishing head that can be extended and retracted by a linear hollow voice coil actuator to provide tool compliance. The main advantage of the proposed design is that it allows this motion without extending or retracting the polishing motor nor spindle, which reduces the inertial effects that may results in undesired vibrations. By integrating a force sensor, the polishing force is measured and fed back to the controller to regulate it according to the polishing pre-planned requirements. The effectiveness of the proposed device to track a certain desired force with step changes under different feed rates has been examined through polishing experiments. The results demonstrate the effectiveness of the presented device to reduce the vibration and achieve remarkable force tracking.





  • On a simplified nonlinear analytical model for the characterisation and design optimisation of a compliant XY micro-motion stage
    27 juin 2017
    Publication date: February 2018
    Source:Robotics and Computer-Integrated Manufacturing, Volume 49

    Author(s): Xavier Herpe, Ross Walker, Matthew Dunnigan, Xianwen Kong

    Compliant micro-positioning stages offer low-cost high precision and repeatability but limited workspace and nonlinear behaviour. The conventional modelling techniques used to characterise micro-motion stages are often either complex or inaccurate for large displacements. New methods have recently been developed with satisfying results. However, the presented models often focus on one part of the stage characterisation. This paper presents an analytical model used to characterise a compliant XY micro-motion stage in terms of stiffness and working range, taking into account the stress and buckling limitations, motion loss and parasitic displacements. The presented model combines a 6-degree-of-freedom (DOF) linear model and a simplified 2-DOF nonlinear static model. As a case study, this model is used for the design of a micro-motion stage which is intended to be the fine positioning system for a hybrid miniaturised product assembly system. The results generated by the analytical model, the finite element analysis (FEA) and the experimental testing are all in agreement. The analytical model is therefore proven to be suitable for a full characterisation and design optimisation; reducing the computation time from a few hours to a few minutes when using MATLAB rather than FEA software. Its ability to predict the output displacement as a function of the input displacement with a maximum error of less than 2% also makes it suitable for open-loop control. The travel range of the fabricated stage is greater than ±2.3mm2 and the maximum cross-coupling error is less than 2.5%.





  • Robot calibration using a portable photogrammetry system
    27 juin 2017
    Publication date: February 2018
    Source:Robotics and Computer-Integrated Manufacturing, Volume 49

    Author(s): Alexandre Filion, Ahmed Joubair, Antoine S. Tahan, Ilian A. Bonev

    This work investigates the potential use of a commercially-available portablephotogrammetry system (the MaxSHOT 3D) in industrial robot calibration. To demonstrate the effectiveness of this system, we take the approach of comparing the device with a laser tracker (the FARO laser tracker) by calibrating an industrial robot, with each device in turn, then comparing the obtained robot position accuracy after calibration. As the use of a portablephotogrammetry system in robot calibration is uncommon, this paper presents how to proceed. It will cover the theory of robot calibration: the robot's forward and inverse kinematics, the elasto-geometrical model of the robot, the generation and ultimate selection of robot configurations to be measured, and the parameter identification. Furthermore, an experimental comparison of the laser tracker and the MaxSHOT3D is described. The obtained results show that the FARO laser trackerION performs slightly better: The absolute positional accuracy obtained with the laser tracker is 0.365mm and 0.147mm for the maximum and the mean position errors, respectively. Nevertheless, the results obtained by using the MaxSHOT3D are almost as good as those obtained by using the laser tracker: 0.469mm and 0.197mm for the maximum and the mean position errors, respectively. Performances in distance accuracy, after calibration (i.e. maximum errors), are respectively 0.329mm and 0.352mm, for the laser tracker and the MaxSHOT 3D. However, as the validation measurements were acquired with the laser tracker, bias favors this device. Thus, we may conclude that the calibration performances of the two measurement devices are very similar.





  • Kinematic error modeling and identification of the over-constrained parallel kinematic machine
    27 juin 2017
    Publication date: February 2018
    Source:Robotics and Computer-Integrated Manufacturing, Volume 49

    Author(s): Yao Jiang, Tiemin Li, Liping Wang, Feifan Chen

    Kinematic calibration has proved to be an effective method in improving the kinematic accuracy of the parallel kinematic machine (PKM). Though the PKM's kinematic calibration method has achieved substantial progress, its application is limited and can be only utilized in non-redundant PKM. Over-constrained PKM parts are forced to deform under redundant constraint forces to satisfy the assembly condition, which does not meet the assumptions made in the present PKM's kinematic calibration method in which all the parts are rigid. To deal with this issue, the present study investigates the kinematic error modeling and identification of the over-constrained PKM considering the deformations of the parts. A 2-DOF over-constrained PKM is taken as the object of study and its kinematic error model is derived based on the analyses of the link's deformations and the machine's static equilibrium condition. The method of least squares and the Regularization method are adopted to identify the kinematic errors of the over-constrained PKM. Finally, simulation analyses are carried out to verify the feasibility and effectiveness of the proposed method.





  • Selective and eco-friendly synthesis of lipoaminoacid-based surfactants for food, using immobilized lipase and protease biocatalysts
    27 juin 2017
    Publication date: 15 January 2018
    Source:Food Chemistry, Volume 239

    Author(s): Claudia Bernal, Fanny Guzman, Andres Illanes, Lorena Wilson

    Lipoaminoacids, as surfactants, are an excellent option for food industry due to the currently trends in consumption of functional and natural ingredients. Synthesis of lauroyl glycine lipoaminoacid was carried out with a lipase from Pseudomonas stutzeri and a protease from Bacillus subtilis, which were immobilized in octyl-glyoxyl silica and glyoxyl-silica supports, respectively, comparing their catalytic performance. The enzymatic selectivity towards the lipoaminoacid instead of the dipeptide glycylglycine and synthesis yield were evaluated with respect to the characteristics of the immobilized biocatalysts and synthesis conditions. Three solvents were tested as reaction media for evaluating the expressed activity, stability and catalytic behavior during synthesis. Results indicate that both enzymes favor the lauroyl glycine synthesis over the peptide synthesis, but the immobilized protease has the best balance between selectivity and yield: 40% yield for lauroyl glycine and less than 5% for dipeptide after 96h of synthesis, at 45°C and acetone as solvent.





  • Wavelet-bounded empirical mode decomposition for measured time series analysis
    27 juin 2017
    Publication date: 15 January 2018
    Source:Mechanical Systems and Signal Processing, Volume 99

    Author(s): Keegan J. Moore, Mehmet Kurt, Melih Eriten, D. Michael McFarland, Lawrence A. Bergman, Alexander F. Vakakis

    Empirical mode decomposition (EMD) is a powerful technique for separating the transient responses of nonlinear and nonstationary systems into finite sets of nearly orthogonal components, called intrinsic mode functions (IMFs), which represent the dynamics on different characteristic time scales. However, a deficiency of EMD is the mixing of two or more components in a single IMF, which can drastically affect the physical meaning of the empirical decomposition results. In this paper, we present a new approached based on EMD, designated as wavelet-bounded empirical mode decomposition (WBEMD), which is a closed-loop, optimization-based solution to the problem of mode mixing. The optimization routine relies on maximizing the isolation of an IMF around a characteristic frequency. This isolation is measured by fitting a bounding function around the IMF in the frequency domain and computing the area under this function. It follows that a large (small) area corresponds to a poorly (well) separated IMF. An optimization routine is developed based on this result with the objective of minimizing the bounding-function area and with the masking signal parameters serving as free parameters, such that a well-separated IMF is extracted. As examples of application of WBEMD we apply the proposed method, first to a stationary, two-component signal, and then to the numerically simulated response of a cantilever beam with an essentially nonlinear end attachment. We find that WBEMD vastly improves upon EMD and that the extracted sets of IMFs provide insight into the underlying physics of the response of each system.





  • Step responses of a torsional system with multiple clearances: Study of vibro-impact phenomenon using experimental and computational methods
    27 juin 2017
    Publication date: 15 January 2018
    Source:Mechanical Systems and Signal Processing, Volume 99

    Author(s): Pradeep Sharma Oruganti, Michael D. Krak, Rajendra Singh

    Recently Krak and Singh (2017) proposed a scientific experiment that examined vibro-impacts in a torsional system under a step down excitation and provided preliminary measurements and limited non-linear model studies. A major goal of this article is to extend the prior work with a focus on the examination of vibro-impact phenomena observed under step responses in a torsional system with one, two or three controlled clearances. First, new measurements are made at several locations with a higher sampling frequency. Measured angular accelerations are examined in both time and time-frequency domains. Minimal order non-linear models of the experiment are successfully constructed, using piecewise linear stiffness and Coulomb friction elements; eight cases of the generic system are examined though only three are experimentally studied. Measured and predicted responses for single and dual clearance configurations exhibit double sided impacts and time varying periods suggest softening trends under the step down torque. Non-linear models are experimentally validated by comparing results with new measurements and with those previously reported. Several metrics are utilized to quantify and compare the measured and predicted responses (including peak to peak accelerations). Eigensolutions and step responses of the corresponding linearized models are utilized to better understand the nature of the non-linear dynamic system. Finally, the effect of step amplitude on the non-linear responses is examined for several configurations, and hardening trends are observed in the torsional system with three clearances.

    Graphical abstract

    image




  • Reliability based impact localization in composite panels using Bayesian updating and the Kalman filter
    27 juin 2017
    Publication date: 15 January 2018
    Source:Mechanical Systems and Signal Processing, Volume 99

    Author(s): Llewellyn Morse, Zahra Sharif Khodaei, M.H. Aliabadi

    In this work, a reliability based impact detection strategy for a sensorized composite structure is proposed. Impacts are localized using Artificial Neural Networks (ANNs) with recorded guided waves due to impacts used as inputs. To account for variability in the recorded data under operational conditions, Bayesian updating and Kalman filter techniques are applied to improve the reliability of the detection algorithm. The possibility of having one or more faulty sensors is considered, and a decision fusion algorithm based on sub-networks of sensors is proposed to improve the application of the methodology to real structures. A strategy for reliably categorizing impacts into high energy impacts, which are probable to cause damage in the structure (true impacts), and low energy non-damaging impacts (false impacts), has also been proposed to reduce the false alarm rate. The proposed strategy involves employing classification ANNs with different features extracted from captured signals used as inputs. The proposed methodologies are validated by experimental results on a quasi-isotropic composite coupon impacted with a range of impact energies.





  • Monitoring early hydration of reinforced concrete structures using structural parameters identified by piezo sensors via electromechanical impedance technique
    27 juin 2017
    Publication date: 15 January 2018
    Source:Mechanical Systems and Signal Processing, Volume 99

    Author(s): Visalakshi Talakokula, Suresh Bhalla, Ashok Gupta

    Concrete is the most widely used material in civil engineering construction. Its life begins when the hydration process is activated after mixing the cement granulates with water. In this paper, a non-dimensional hydration parameter, obtained from piezoelectric ceramic (PZT) patches bonded to rebars embedded inside concrete, is employed to monitor the early age hydration of concrete. The non-dimensional hydration parameter is derived from the equivalent stiffness determined from the piezo-impedance transducers using the electro-mechanical impedance (EMI) technique. The focus of the study is to monitor the hydration process of cementitious materials commencing from the early hours and continue till 28days using single non-dimensional parameter. The experimental results show that the proposed piezo-based non-dimensional hydration parameter is very effective in monitoring the early age hydration, as it has been derived from the refined structural impedance parameters, obtained by eliminating the PZT contribution, and using both the real and imaginary components of the admittance signature.





  • Experimental assessment of the influence of welding process parameters on Lamb wave transmission across ultrasonically welded thermoplastic composite joints
    27 juin 2017
    Publication date: 15 January 2018
    Source:Mechanical Systems and Signal Processing, Volume 99

    Author(s): Pedro Ochôa, Irene Fernandez Villegas, Roger M. Groves, Rinze Benedictus

    One of the advantages of thermoplastic composites relative to their thermoset counterparts is the possibility of assembling components through welding. Ultrasonic welding in particular is very promising for industrialization. However, uncertainty in the fatigue and fracture behaviour of composites is still an obstacle to the full utilisation of these materials. Health monitoring is then of vital importance, and Lamb wave techniques have been widely recognised as some of the most promising approaches for that end. This paper presents the first experimental study about the influence of welding travel on the transmission of Lamb waves across ultrasonically welded thermoplastic composite joints in single-lap configuration. The main aim of this research is to start to understand how guided waves interact with the internal structure of ultrasonic welds, so that benign, manufacturing-related structural features can be distinguished from damaging ones in signal interpretation. The power transmission coefficient and the correlation coefficient proved to be suitable for analysing the wave propagation phenomena, allowing quantitative identification of small variations of weld-line thickness and intermolecular diffusion at the weld interface. The conclusions are used to develop a tentative damage detection criterion which can later on assist the design of a Lamb wave based structural health monitoring system for thermoplastic composite structures. The Lamb wave test results are backed up by phased-array inspections, which also provide some extra insight on the internal structure of ultrasonic welds.





  • Semi-active control of monopile offshore wind turbines under multi-hazards
    27 juin 2017
    Publication date: 15 January 2018
    Source:Mechanical Systems and Signal Processing, Volume 99

    Author(s): C. Sun

    The present paper studies the control of monopile offshore wind turbines subjected to multi-hazards consisting of wind, wave and earthquake. A Semi-active tuned mass damper (STMD) with tunable natural frequency and damping ratio is introduced to control the dynamic response. A new fully coupled analytical model of the monopile offshore wind turbine with an STMD is established. The aerodynamic, hydrodynamic and seismic loading models are derived. Soil effects and damage are considered. The National Renewable Energy Lab monopile 5MW baseline wind turbine model is employed to examine the performance of the STMD. A passive tuned mass damper (TMD) is utilized for comparison. Through numerical simulation, it is found that before damage occurs, the wind and wave induced response is more dominant than the earthquake induced response. With damage presence in the tower and the foundation, the nacelle and the tower response is increased dramatically and the natural frequency is decreased considerably. As a result, the passive TMD with fixed parameters becomes off-tuned and loses its effectiveness. In comparison, the STMD retuned in real-time demonstrates consistent effectiveness in controlling the dynamic response of the monopile offshore wind turbines under multi-hazards and damage with a smaller stroke.





  • Model selection and parameter estimation in structural dynamics using approximate Bayesian computation
    27 juin 2017
    Publication date: 15 January 2018
    Source:Mechanical Systems and Signal Processing, Volume 99

    Author(s): Anis Ben Abdessalem, Nikolaos Dervilis, David Wagg, Keith Worden

    This paper will introduce the use of the approximate Bayesian computation (ABC) algorithm for model selection and parameter estimation in structural dynamics. ABC is a likelihood-free method typically used when the likelihood function is either intractable or cannot be approached in a closed form. To circumvent the evaluation of the likelihood function, simulation from a forward model is at the core of the ABC algorithm. The algorithm offers the possibility to use different metrics and summary statistics representative of the data to carry out Bayesian inference. The efficacy of the algorithm in structural dynamics is demonstrated through three different illustrative examples of nonlinear system identification: cubic and cubic-quintic models, the Bouc-Wen model and the Duffing oscillator. The obtained results suggest that ABC is a promising alternative to deal with model selection and parameter estimation issues, specifically for systems with complex behaviours.





  • Chapter 23 Heart Failure With Preserved Ejection Fraction
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Umair Khalid, Anita Deswal







  • Chapter 24 Hypertrophic Cardiomyopathy
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Lothar Faber







  • Chapter 25 Restrictive Cardiomyopathy
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Stuart B. Prenner, Sanjiv J. Shah







  • Chapter 52 Heart Disease in Women
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Jaya Chandrasekhar, Roxana Mehran







  • Chapter 53 Sleep Apnea and the Heart
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets

    Author(s): Ihab Hamzeh, Fidaa Shaib







  • Index
    27 juin 2017
    Publication date: 2018
    Source:Cardiology Secrets









  • 1 Epidemiology of Chronic Coronary Artery Disease
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): Peter W.F. Wilson, Christopher J. O’Donnell







  • 4 Basic Mechanisms of Atherosclerosis
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): Magnus Bäck, Goran Hansson







  • 11 Echocardiography
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): Rajdeep S. Khattar, Roxy Senior







  • 20 The Medical Treatment of Stable Angina
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): Lawrence Kwon, Clive Rosendorff







  • 24 Managing Chronic Coronary Artery Disease in Patients with Diabetes
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): Nikolaus Marx, Sebastian Reith







  • 27 Refractory Angina
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): E. Marc Jolicoeur, Timothy D. Henry







  • 28 Primary Prevention of Atherosclerotic Cardiovascular Disease
    27 juin 2017
    Publication date: 2018
    Source:Chronic Coronary Artery Disease

    Author(s): Jennifer G. Robinson







  • 4 Endometrial Hyperplasia, Estrogen Therapy, and the Prevention of Endometrial Cancer
    27 juin 2017
    Publication date: 2018
    Source:Clinical Gynecologic Oncology

    Author(s): Lisa M. Landrum, Rosemary E. Zuna, Joan L. Walker







  • 4 Fractures and Dislocations of the Hand
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Maureen A. Hardy, S. Brent Brotzman, Steven R. Novotny







  • 5 Fifth Metacarpal Neck Fracture (Boxer's Fracture)
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): S. Brent Brotzman, Theresa M. Kidd, Maureen A. Hardy, Steven R. Novotny







  • 7 Nerve Compression Syndromes
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): S. Brent Brotzman, Steven R. Novotny







  • 8 Scaphoid Fractures
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): S. Brent Brotzman, Steven R. Novotny







  • 12 Rehabilitation After Fractures of the Forearm and Elbow
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Sinan Emre Ozgur, Charles E. Giangarra







  • 14 Medial Collateral Ligament and Ulnar Nerve Injury at the Elbow
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Michael Levinson, David W. Altchek







  • 15 Treating Flexion Contracture (Loss of Extension) in Throwing Athletes
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Tigran Garabekyan, Charles E. Giangarra







  • 16 Post-Traumatic Elbow Stiffness
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Daniel Woods, Charles E. Giangarra







  • 17 Treatment and Rehabilitation of Elbow Dislocations
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Michael J. O’Brien, Felix H. Savoie







  • 20 General Principles of Shoulder Rehabilitation
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Robert C. Manske







  • 21 Importance of the History in the Diagnosis of Shoulder Pathology
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Richard Romeyn, Robert C. Manske







  • 23 Rotator Cuff Repair
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Robert C. Manske







  • 24 Shoulder Instability Treatment and Rehabilitation
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Sameer Lodha, Sean Mazloom, Amy G. Resler, Rachel M. Frank, Neil S. Ghodadra, Anthony A. Romeo, Jonathan Yong Kim, R. Jason Jadgchew, Matthew T. Provencher







  • 25 Adhesive Capsulitis (Frozen Shoulder)
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Christopher J. Durall







  • 26 Rehabilitation for Biceps Tendon Disorders and SLAP Lesions
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Geoffrey S. Van Thiel, Sanjeev Bhatia, Neil S. Ghodadra, Jonathan Yong Kim, Matthew T. Provencher







  • 27 Scapular Dyskinesis
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): W. Ben Kibler, Aaron Sciascia, John McMullen







  • 30 Shoulder Exercises for Injury Prevention in the Throwing Athlete
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): John A. Guido, Keith Meister







  • 31 Glenohumeral Internal Rotation Deficiency
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Todd S. Ellenbecker, W. Ben Kibler, George J. Davies







  • 33 Impingement Syndrome
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Michael D. Rosenthal, Josef H. Moore, Joseph R. Lynch







  • 36 Proximal Humeral and Humeral Shaft Fractures
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Charles E. Giangarra, Jace R. Smith







  • 37 The Use of a Functional Testing Algorithm (FTA) to Make Qualitative and Quantitative Decisions to Return Athletes Back to Sports Following Shoulder Injuries
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): George J. Davies, Bryan Riemann










Les parutions sur ScienceDirect. Mot clé "EMG"

Connectez-vous au portail de l'université pour bénéficier pleinement de ce service
  • Towards unravelling the relationship between on-body, environmental and emotion data using sensor information fusion approach
    27 juin 2017
    Publication date: March 2018
    Source:Information Fusion, Volume 40

    Author(s): Eiman Kanjo, Eman M.G. Younis, Nasser Sherkat

    Over the past few years, there has been a noticeable advancement in environmental models and information fusion systems taking advantage of the recent developments in sensor and mobile technologies. However, little attention has been paid so far to quantifying the relationship between environment changes and their impact on our bodies in real-life settings. In this paper, we identify a data driven approach based on direct and continuous sensor data to assess the impact of the surrounding environment and physiological changes and emotion. We aim at investigating the potential of fusing on-body physiological signals, environmental sensory data and on-line self-report emotion measures in order to achieve the following objectives: (1) model the short term impact of the ambient environment on human body, (2) predict emotions based on-body sensors and environmental data. To achieve this, we have conducted a real-world study ‘in the wild’ with on-body and mobile sensors. Data was collected from participants walking around Nottingham city centre, in order to develop analytical and predictive models. Multiple regression, after allowing for possible confounders, showed a noticeable correlation between noise exposure and heart rate. Similarly, UV and environmental noise have been shown to have a noticeable effect on changes in ElectroDermal Activity (EDA). Air pressure demonstrated the greatest contribution towards the detected changes in body temperature and motion. Also, significant correlation was found between air pressure and heart rate. Finally, decision fusion of the classification results from different modalities is performed. To the best of our knowledge this work presents the first attempt at fusing and modelling data from environmental and physiological sources collected from sensors in a real-world setting.





  • Generalized composite multiscale permutation entropy and Laplacian score based rolling bearing fault diagnosis
    27 juin 2017
    Publication date: 15 January 2018
    Source:Mechanical Systems and Signal Processing, Volume 99

    Author(s): Jinde Zheng, Haiyang Pan, Shubao Yang, Junsheng Cheng

    Multiscale permutation entropy (MPE) is a recently proposed nonlinear dynamic method for measuring the randomness and detecting the nonlinear dynamic change of time series and can be used effectively to extract the nonlinear dynamic fault feature from vibration signals of rolling bearing. To solve the drawback of coarse graining process in MPE, an improved MPE method called generalized composite multiscale permutation entropy (GCMPE) was proposed in this paper. Also the influence of parameters on GCMPE and its comparison with the MPE are studied by analyzing simulation data. GCMPE was applied to the fault feature extraction from vibration signal of rolling bearing and then based on the GCMPE, Laplacian score for feature selection and the Particle swarm optimization based support vector machine, a new fault diagnosis method for rolling bearing was put forward in this paper. Finally, the proposed method was applied to analyze the experimental data of rolling bearing. The analysis results show that the proposed method can effectively realize the fault diagnosis of rolling bearing and has a higher fault recognition rate than the existing methods.





  • Neuro-Ophthalmology/Orbit
    27 juin 2017
    Publication date: 2018
    Source:Case Reviews in Ophthalmology

    Author(s): Neil J. Friedman, Peter K. Kaiser







  • 7 Nerve Compression Syndromes
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): S. Brent Brotzman, Steven R. Novotny







  • 18 Lateral and Medial Humeral Epicondylitis
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Todd S. Ellenbecker, George J. Davies







  • 20 General Principles of Shoulder Rehabilitation
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Robert C. Manske







  • 22 Rotator Cuff Tendinitis in the Overhead Athlete
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Michael J. O’Brien, Felix H. Savoie







  • 23 Rotator Cuff Repair
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Robert C. Manske







  • 26 Rehabilitation for Biceps Tendon Disorders and SLAP Lesions
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Geoffrey S. Van Thiel, Sanjeev Bhatia, Neil S. Ghodadra, Jonathan Yong Kim, Matthew T. Provencher







  • 30 Shoulder Exercises for Injury Prevention in the Throwing Athlete
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): John A. Guido, Keith Meister







  • 32 Postural Consideration for the Female Athlete’s Shoulder
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Janice K. Loudon







  • 35 Thoracic Outlet Syndrome in the Overhead Athlete
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Robert C. Manske







  • 43 Inferior Heel Pain (Plantar Fasciitis)
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): S. Brent Brotzman, John J. Jasko







  • 58 Hip Strength and Kinematics in Patellofemoral Syndrome
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Lori A. Bolgla







  • 61 Articular Cartilage Procedures of the Knee
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): G. Kelley Fitzgerald, James J. Irrgang







  • 72 Therapeutic Exercise for the Cervical Spine
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Christopher J. Durall







  • 74 Core Stabilization Training
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Barbara J. Hoogenboom, Kyle Kiesel







  • 76 Rehabilitation Following Lumbar Disc Surgery
    27 juin 2017
    Publication date: 2018
    Source:Clinical Orthopaedic Rehabilitation: a Team Approach

    Author(s): Adriaan Louw







  • 16 Secondary Hypertension
    27 juin 2017
    Publication date: 2018
    Source:Hypertension: A Companion to Braunwald's Heart Disease

    Author(s): Ailia W. Ali, Patrick J. Strollo







  • Design of an accurate end-of-arm force display system based on wearable arm gesture sensors and EMG sensors
    27 juin 2017
    Publication date: January 2018
    Source:Information Fusion, Volume 39

    Author(s): Pengwen Xiong, Changcheng Wu, Huamao Zhou, Aiguo Song, Lingyan Hu, Xiaoping P. Liu

    Most upper limb rehabilitation patients are still hard to feel the accuracy force they have imposed in the end of arm after a systematic upper limb rehabilitation. In order to provide an accurate end-of-arm force for those disabled people, a force display system based on wearable arm gesture sensors and Electromyographic (EMG) sensors is designed and given in this paper. The wearable arm gesture sensors and EMG sensors are specially placed to detect the arm gesture and the EMG signal of the arm, and a force sensor is used to measure the force and verify the force display effect. In order to control the rehabilitation arm move slowly at a constant speed, the kinematic model of the upper arm is analyzed. A special experiment platform is established so as to get the simultaneous data of end-of-arm force and the arm gesture and EMG signal, then the Generalized Regression Neural Network (GRNN) is brought in to catch the relationship between them. A group of horizontal movement experiment and vertical movement experiment are designed specially and verify the feasibility and effectiveness of the system. The result shows that the information fusion based on GRNN for this system could accurately display the end-of-arm force.





  • Chapter 12 Headache
    27 juin 2017
    Publication date: 2018
    Source:Integrative Medicine

    Author(s): Remy R. Coeytaux, John Douglas Mann







  • Chapter 109 Strain/Counterstrain
    27 juin 2017
    Publication date: 2018
    Source:Integrative Medicine

    Author(s): Harmon Myers, Julia Jernberg







  • Chapter 13 Interstitial Lung Disease in the Connective Tissue Diseases
    27 juin 2017
    Publication date: 2018
    Source:Interstitial Lung Disease

    Author(s): Danielle Antin-Ozerkis, Ami Rubinowitz, Janine Evans, Robert J. Homer, Richard A. Matthay

    The connective tissue diseases (CTDs) are inflammatory, immune-mediated disorders in which interstitial lung disease (ILD) is common and clinically important. ILD may be the first manifestation of a CTD in a previously healthy patient. CTD-associated ILD frequently presents with the gradual onset of cough and dyspnea, although rarely may present with fulminant respiratory failure. Infection and drug reaction should always be ruled out. A diagnosis of idiopathic ILD should never be made without a careful search for subtle evidence of underlying CTD. Treatment of CTD-ILD typically includes corticosteroids and immunosuppressive agents. The authors discuss the diagnostic approach to CTD-ILD and provide a focused discussion of treatment for several common forms of CTD-ILD.





  • 29 Hypotonia, Weakness, and Stroke
    27 juin 2017
    Publication date: 2018
    Source:Nelson Pediatric Symptom-Based Diagnosis

    Author(s): Chamindra Konersman







  • 33 Arthritis
    27 juin 2017
    Publication date: 2018
    Source:Nelson Pediatric Symptom-Based Diagnosis

    Author(s): James Nocton, Dominic Co







  • 6 Intraoperative Neuromonitoring for Specific Neurosurgical Procedures
    27 juin 2017
    Publication date: 2018
    Source:Neurocritical Care Management of the Neurosurgical Patient

    Author(s): Claudia F. Clavijo, Benjamin K. Scott







  • 19 Cerebellopontine Angle Tumors
    27 juin 2017
    Publication date: 2018
    Source:Neurocritical Care Management of the Neurosurgical Patient

    Author(s): Geoffrey P. Stricsek, James J. Evans, Christopher J. Farrell







  • 44 Management of Traumatic Brachial Plexus Injuries
    27 juin 2017
    Publication date: 2018
    Source:Neurocritical Care Management of the Neurosurgical Patient

    Author(s): Zarina S. Ali, Luke Macyszyn, Eric L. Zager







  • Procedure 51 Open Carpal Tunnel Release
    27 juin 2017
    Publication date: 2018
    Source:Operative Techniques: Hand and Wrist Surgery

    Author(s): Yuki Fujihara, Kevin C. Chung, Jennifer F. Waljee







  • Procedure 5 Anterior C1-C2 Arthrodesis
    27 juin 2017
    Publication date: 2018
    Source:Operative Techniques: Spine Surgery

    Author(s): Michael Schiraldi, Eli M. Baron, Alexander R. Vaccaro







  • Procedure 18 Anterior Thoracic Diskectomy and Corpectomy
    27 juin 2017
    Publication date: 2018
    Source:Operative Techniques: Spine Surgery

    Author(s): Christopher C. Harrod, Devan B. Moody, Alexander R. Vaccaro







  • 8 Transvenous Lead Placement
    27 juin 2017
    Publication date: 2018
    Source:Surgical Implantation of Cardiac Rhythm Devices

    Author(s): Andrea M. Russo, Ulrika Birgersdotter-Green







  • Characterization of carotenoid profile of Spanish Sanguinos and Verdal prickly pear (Opuntia ficus-indica, spp.) tissues
    27 juin 2017
    Publication date: 15 December 2017
    Source:Food Chemistry, Volume 237

    Author(s): M.P. Cano, A. Gómez-Maqueo, T. García-Cayuela, J. Welti-Chanes

    Carotenoid profiles of different tissues (peel, pulp and whole fruit) of Spanish Sanguinos (red) and Verdal (orange) prickly pears (Opuntia ficus-indica spp.) have been characterized in detail and quantified for the first time. Carotenoids were determined by HPLC-PDA-MS (APCI+), using a reverse phase C30 column. A total of 9 xantophylls and 4 hydrocarbon carotenes were identified. Also, minor amounts of chlorophyll a, a′ and b can be observed in Opuntia peel extracts. All carotenoids were found to be present in their free form (no carotenoid esters were detected). The RAE was highest in Opuntia peels, showing values from 19.20 to 16.48µg/100g fresh weigth, for Sanguinos and Verdal Opuntia fruits, respectively. The main carotenoid in Opuntia peel extracts was (all-E)-lutein with 1132.51 and 767.98µg/100g fresh weigth, followed by (all-E)-β-carotene with 200.40 and 173.50µg/100g fresh weigth for Sanguinos and Verdal varieties of Opuntia fruits, respectively.





  • Effects of the Bad Ragaz Ring Method on muscle activation of the lower limbs and balance ability in chronic stroke: A randomised controlled trial
    27 juin 2017
    Publication date: December 2017
    Source:Hong Kong Physiotherapy Journal, Volume 37

    Author(s): Hyun-Gyu Cha, Young-Jun Shin, Myoung-Kwon Kim

    Background Recovery of balance and walking abilities is important for the rehabilitation of stroke patients. Objectives To evaluate the effects of the Bad Ragaz Ring method on functional recovery in chronic stroke patients. Methods Twenty-two chronic stroke patients were randomly assigned to two groups: a Bad Ragaz Ring method group (the experimental group) or a control group. Stroke patients in the experimental group underwent Bad Ragaz Ring exercise and comprehensive rehabilitation therapy, whereas patients in the control group underwent comprehensive rehabilitation therapy alone. The participants in both groups received therapy 3 days per week for 6 weeks. Muscle activations, balance indices, and Timed Up and Go test results were assessed before and after the 6-week therapy period. Results The experimental group showed significant improvements in activations of tibialis anterior and gastrocnemius muscles, balance index, and Timed Up and Go test results as compared with preintervention results (p < 0.05), whereas the control group showed significant improvement in Timed Up and Go test (p < 0.05). Significant differences in posttraining gains in the activations of tibialis anterior and gastrocnemius muscles and in balance index were observed between the experimental and control groups (p < 0.05). Effect sizes for gains in the experimental and control groups were strong for tibialis anterior and gastrocnemius muscles (effect sizes, 1.04 and 1.45 respectively). Conclusion The Bad Ragaz Ring method may be beneficial for improving balance and leg muscle activation of chronic stroke patients.





  • Detecting rapid eye movement sleep using a single EEG signal channel
    27 juin 2017
    Publication date: 30 November 2017
    Source:Expert Systems with Applications, Volume 87

    Author(s): Nan-Hung Lin, Chung-Yao Hsu, Yuxi Luo, Mark L. Nagurka, Jia-Li Sung, Chih-Yuan Hong, Chen-Wen Yen

    Sleep stage scoring is generally determined in a polysomnographic (PSG) study where technologists use electroencephalogram (EEG), electromyogram (EMG), and electrooculogram (EOG) signals to determine the sleep stages. Such a process is time consuming and labor intensive. To reduce the workload and to improve the sleep stage scoring performance of sleep experts, this paper introduces an intelligent rapid eye movement (REM) sleep detection method that requires only a single EEG channel. The proposed approach distinguishes itself from previous automatic sleep staging methods by introducing two sets of auxiliary features to help resolve the difficulties caused by interpersonal EEG signal differences. In addition to adopting conventional time and frequency domain features, two empirical rules are introduced to enhance REM detection performance based on sleep being a continuous process. The approach was tested with 779,661 epochs obtained from 947 overnight PSG studies. The REM sleep detection results show a kappa coefficient at 0.752, an accuracy level of 0.930, a sensitivity score of 0.814, and a positive predictive value of 0.775. The results also show that the performance of the approach varies with the ratio of REM sleep and the severity of sleep apnea of the subjects. The experimental results also show that it is possible to improve the performance of an automatic sleep staging method by tailoring it to subgroups of persons that have similar sleep architecture and clinical characteristics.





  • Head, trunk and arm posture amplitude and variation, muscle activity, sedentariness and physical activity of 3 to 5 year-old children during tablet computer use compared to television watching and toy play
    27 juin 2017
    Publication date: November 2017
    Source:Applied Ergonomics, Volume 65

    Author(s): Erin K. Howie, Pieter Coenen, Amity C. Campbell, Sonia Ranelli, Leon M. Straker

    Young children (ages 3 to 5) are using mobile touchscreen technology, including tablet computers, yet little is known on the potential musculoskeletal and physical activity implications of its use. This within-subject laboratory study (n = 10) examined head, trunk and arm postures, upper trapezius muscle activity, and total body and upper limb physical activity during playing with tablets compared to during TV watching and playing with non-screen toys. Overall, this study found that during tablet play children had greater mean head, trunk and upper arm angles compared to both TV watching and toy play. Conversely, compared to toy play, children playing with tablets had lesser trunk, upper arm and elbow postural variation, lesser trapezius activity, more time sitting and lesser physical activity. Thus, to minimize potential musculoskeletal and sedentary risks, non-screen toy play should be encouraged and education and guidelines provided for parents and caretakers to support wise use of tablets.





  • A wearable H-shirt for exercise ECG monitoring and individual lactate threshold computing
    27 juin 2017
    Publication date: November 2017
    Source:Computers in Industry, Volumes 92–93

    Author(s): Fangmin Sun, Chenfu Yi, Weinan Li, Ye Li

    Millions of people worldwide are involved in daily physical exercise and fitness, which implies the growing demand for wearable devices and gadgets monitoring these activities. To ensure the comfort of exercise, wearable health monitoring devices are the most lucrative for real-time and continuous electrocardiogram (ECG) monitoring, which is essential for making individualized fitness plans and avoiding the occurrence of cardiac arrest. Moreover, the ECG monitoring data obtained are instrumental in the computation of the individual lactate threshold heart rate, which is the inflection point of the heart rate-time curve and indicates the exercise intensity level, at which the blood concentration of lactate and lactic acid begins to exponentially increase and will result in overstraining, unless the exercise efforts (running speed or muscle intensity) are temporarily reduced. The respective monitoring and overstrain-warning devices have a large potential for the individual assessment of the endurance performance, as well as for prescribing intensities in the endurance training. However, the common drawbacks of commercial wearable devices used in healthcare and medical fields for continuous monitoring of ECG, electroencephalogram, respiration, temperature, SpO2, and human activity, such as smart helmets, wearable patches, and activity-tracking bands, are motion artifacts and unstable skin-electrode contact, which jeopardize the accurate measurements during exercise. Given this, the Health shirt (H-shirt) integrated with conductive fabric ECG electrodes enabling the accurate ECG monitoring during physical exercise has been introduced and validated by the authors. In this paper, the modified design of the sports H-shirt with the lactate threshold heart rate computing is proposed and implemented. High elasticity of the H-shirt not only ensures a stable skin-electrode contact but also avoids the discomfort caused by the measurement. A highly integrated printed circuit board is used to filter, amplify, digitalize, and transmit the ECG signal sampled from the electrodes, while a high input impedance amplifier circuit is designed to improve its signal-to-noise ratio. The Bluetooth low energy (BLE) is used as the data transmission protocol between the H-shirt and the mobile phone. A mobile phone-based ECG analysis and exercise evaluation platform have been developed, which allow one to detect six types of abnormal ECG (tachycardia, bradycardia, a dropped beat, premature beat, bigeminy, and trigeminy) and individual lactate threshold, as well as to provide real-time health warning and exercise optimization hints through mobile phone voice messages. Being powered by a 150mAh 3.7V lithium battery, the H-shirt operated for at least 24h and was tested on four volunteers of both genders and age from 14 to 32 years, whose ECG and the lactate threshold heart rate values were accurately measured during their test exercise on a treadmill with running speed up to 16km/h and used as a reference for the users to adjust their exercise intensity. The available options of adding sensors for measurement of more physiological parameters by the proposed sports H-shirt make it quite lucrative for the rehabilitation exercise monitoring.





  • Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers
    27 juin 2017
    Publication date: 1 November 2017
    Source:Expert Systems with Applications, Volume 85

    Author(s): Lan-lan Chen, Yu Zhao, Peng-fei Ye, Jian Zhang, Jun-zhong Zou

    Monitoring driving status has great potential in helping us decline the occurrence probability of traffic accidents and the aim of this research is to develop a novel system for driving stress detection based on multimodal feature analysis and kernel-based classifiers. Physiological signals such as electrocardiogram, galvanic skin response and respiration were record from fourteen drives executed in a prescribed route at real drive environments. Features were widely extracted from time, spectral and wavelet multi-domains. In order to search for the optimal feature sets, Sparse Bayesian Learning (SBL) and Principal Component Analysis (PCA) were combined and adopted. Kernel-based classifiers were employed to improve the accuracy of stress detection task. Analysis I used features from 10s intervals of data which were recorded during well-defined rest, highway and city driving conditions to discriminate three levels of diving stress achieving an averaging accuracy over 99% at per-drive level and 89% in cross-drive validation. Analysis II made continuous stress evaluation throughout a complete driving test attaining a high coincidence with the true road situation especially at the switching interval of traffic conditions. Experimental results reveal that different levels of driving stress can be characterized by specific set of physiological measures. These physiological measures could be applied to in-vehicle intelligent systems in various approaches to help the drivers better manage their negative driving status. Our design scheme for driving stress detection could also facilitate the development of similar in-vehicle expert systems, such as driver's emotion management, driver's sleeping onset monitoring, and human-computer interaction (HCI).





  • Real-time gait subphase detection using an EMG signal graph matching (ESGM) algorithm based on EMG signals
    27 juin 2017
    Publication date: 1 November 2017
    Source:Expert Systems with Applications, Volume 85

    Author(s): Jaehwan Ryu, Deok-Hwan Kim

    This study presents a gait subphase recognition method using an electromyogram (EMG) with a signal graph matching (ESGM) algorithm. Existing pattern recognition and machine learning using EMG signals has several innate problems in gait subphase detection. With respect to time domain features, their feature values may be analogous because two different gait steps may have similar muscle activation. In addition, the current gait subphase might not be recognized until the next gait subphase passes because the window size needed for feature extraction is larger than the period of the gait subphase. The ESGM algorithm is a new approach that compares reference EMG signals and input EMG signals according to time variance to solve these problems and considers variations of physiological muscle activity. We also determined all the elements of the ESGM algorithm using kinematic gait analysis and optimized the algorithm using experiments. Therefore, the ESGM algorithm reflects better timing characteristics of EMG signals than the time domain feature extraction algorithm. In addition, it can provide real-time and user-adaptive recognition of the gait subphase by using only EMG signals. Experimental results show that the average accuracy of the proposed method is 13% better than existing methods and the average detection latency of the proposed method was 5.5 times lower than existing methods.





  • META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection
    27 juin 2017
    Publication date: November 2017
    Source:Information Fusion, Volume 38

    Author(s): Rafael M.O. Cruz, Robert Sabourin, George D.C. Cavalcanti

    Dynamic ensemble selection (DES) techniques work by estimating the competence level of each classifier from a pool of classifiers, and selecting only the most competent ones for the classification of a specific test sample. The key issue in DES is defining a suitable criterion for calculating the classifiers’ competence. There are several criteria available to measure the level of competence of base classifiers, such as local accuracy estimates and ranking. However, using only one criterion may lead to a poor estimation of the classifier’s competence. In order to deal with this issue, we have proposed a novel dynamic ensemble selection framework using meta-learning, called META-DES. A meta-classifier is trained, based on the meta-features extracted from the training data, to estimate the level of competence of a classifier for the classification of a given query sample. An important aspect of the META-DES framework is that multiple criteria can be embedded in the system encoded as different sets of meta-features. However, some DES criteria are not suitable for every classification problem. For instance, local accuracy estimates may produce poor results when there is a high degree of overlap between the classes. Moreover, a higher classification accuracy can be obtained if the performance of the meta-classifier is optimized for the corresponding data. In this paper, we propose a novel version of the META-DES framework based on the formal definition of the Oracle, called META-DES.Oracle. The Oracle is an abstract method that represents an ideal classifier selection scheme. A meta-feature selection scheme using an overfitting cautious Binary Particle Swarm Optimization (BPSO) is proposed for improving the performance of the meta-classifier. The difference between the outputs obtained by the meta-classifier and those presented by the Oracle is minimized. Thus, the meta-classifier is expected to obtain results that are similar to the Oracle. Experiments carried out using 30 classification problems demonstrate that the optimization procedure based on the Oracle definition leads to a significant improvement in classification accuracy when compared to previous versions of the META-DES framework and other state-of-the-art DES techniques.





  • Wild or tended nature? The effects of landscape location and vegetation density on physiological and psychological responses
    27 juin 2017
    Publication date: November 2017
    Source:Landscape and Urban Planning, Volume 167

    Author(s): Yen-Cheng Chiang, Dongying Li, Hao-Ann Jane

    Research has demonstrated the positive impacts of contact with nature on people’s physiological and psychological health. However, few studies have discussed the effect of vegetation from the perspective of landscape ecology. This study aims to explore people’s physiological and psychological responses to varying locations and vegetation density. We recruited 180 participants and randomly assigned them to three locations and three density conditions: forest interior, forest edge, forest exterior, high density, medium density, and low density. We used an electroencephalogram (EEG) to monitor participants’ Alpha waves as they watched a slide show using 3D glasses, followed by a Stroop task and a Profile of Mood States questionnaire. Results suggested that the forest interior condition induced significant stress recovery and received the highest preference score, whereas the forest edge was associated with better attention restoration effects. In terms of vegetation density, the high-density group showed better attentional functioning, but the medium vegetation group was more preferred. The results may offer guidance for designers regarding site selection and vegetation arrangement to achieve optimal restorative effects.





  • Adaptive torque estimation of robot joint with harmonic drive transmission
    27 juin 2017
    Publication date: November 2017
    Source:Mechanical Systems and Signal Processing, Volume 96

    Author(s): Zhiguo Shi, Yuankai Li, Guangjun Liu

    Robot joint torque estimation using input and output position measurements is a promising technique, but the result may be affected by the load variation of the joint. In this paper, a torque estimation method with adaptive robustness and optimality adjustment according to load variation is proposed for robot joint with harmonic drive transmission. Based on a harmonic drive model and a redundant adaptive robust Kalman filter (RARKF), the proposed approach can adapt torque estimation filtering optimality and robustness to the load variation by self-tuning the filtering gain and self-switching the filtering mode between optimal and robust. The redundant factor of RARKF is designed as a function of the motor current for tolerating the modeling error and load-dependent filtering mode switching. The proposed joint torque estimation method has been experimentally studied in comparison with a commercial torque sensor and two representative filtering methods. The results have demonstrated the effectiveness of the proposed torque estimation technique.





  • Droplet distribution during sub-picosecond laser deposition of gold nanoparticles
    27 juin 2017
    Publication date: 15 October 2017
    Source:Applied Surface Science, Volume 419

    Author(s): Francisco Gontad, Maura Cesaria, Argyro Klini, Aleka Manousaki, Alessio Perrone, Anna Paola Caricato

    Even if it has been recently assessed that sub-picosecond ablation is not a “melting-free” process, a systematic investigation of the issue of droplets is still lacking. In this paper we discuss the effects of fluence (F=0.3, 1, 3J/cm2), target-substrate distance (dTS =5, 6, 7, 8, 9cm) and number of laser pulses per site (Np/s =2, 12, 22, 36, 96) on the morphology in terms of droplets and plasmonic response of gold nanoparticles deposited by sub-picosecond pulsed laser ablation. Among metals, gold is an ideal candidate to study the occurrence of droplets due to its low electron-phonon coupling that favors the appearance of heat affected zones. Our findings demonstrate that Np/s affects the production of large droplets more intensely than F and dTS. In fact, increasing Np/s produced much larger droplets than the ones obtained by tuning the fluence and an increment in the droplet density of 10 times. On the other hand, while the maximum density of small droplets (average diameter0.15μm) occurs at F=1J/cm2 (with respect to 0.3J/cm2 and 3J/cm2), the total droplet density exhibits a minimum at such fluence.

    Graphical abstract

    image




  • Using combined optimization, GC–MS and analytical technique to analyze the germination effect on phenolics, dietary fibers, minerals and GABA contents of Kodo millet (Paspalum scrobiculatum)
    27 juin 2017
    Publication date: 15 October 2017
    Source:Food Chemistry, Volume 233

    Author(s): Seema Sharma, Dharmesh C. Saxena, Charanjit S. Riar

    A central composite rotatable design was applied to study the effects of soaking time, germination time and temperature on the responses; total phenolics, total flavonoids and antioxidant activity for the biochemical enhancement of bioactive components of Kodo millet. The optimum conditions for producing germinated Kodo millet flour of highest TPC (83.01mgGAE/100g), TFC (87.53mgRUE/g) and AoxA (91.34%), were soaking time (13.81h), germination temperature (38.75°C) and germination time (35.82h). Protein increased significantly form, 6.7 to 7.9%, dietary fibers from 35.30 to 38.34g/100g, minerals from 232.82 to 251.73mg/100g, GABA contents from 9.36 to 47.43mg/100g, whereas phytates and tannins decreased from 1.344 to 0.997mol/kg and 1.603 to 0.234mg/100g respectively, in optimized germinated Kodo millet sample. Six new bioactive compounds [n-propyl-9,12,15-octadecatrienoate (0.86%), pregan,20-one-2hydroxy,5,6,epox-15-methyl (3.45%), hexa-decanoicacid (8.19%), 9,O-ctadecenoicacid (5.00%), butyl-6,9,12,15-octadecatetraenoate (4.03%), hexadecanoicacid-methylester (1.43%)], synthesized as a result of germination under optimum conditions in the Kodo millet depicted the germination potential of millets as a source of valuable bioactive compounds.





  • Essential oil of citronella modulates electrophysiological responses in tambaqui Colossoma macropomum: A new anaesthetic for use in fish
    27 juin 2017
    Publication date: 1 October 2017
    Source:Aquaculture, Volume 479

    Author(s): Luis André Luz Barbas, Moisés Hamoy, Vanessa Jóia de Mello, Ruan Paulo Melo Barbosa, Hildado Socorro Trindade de Lima, Marcelo Ferreira Torres, Luis Adriano Santos do Nascimento, Joyce Kelly do Rosário da Silva, Eloísa Helena de Aguiar Andrade, Madson Ralide Fonseca Gomes

    The aim of this study was to evaluate the efficacy of essential oil of citronella, Cymbopogon nardus (EOC) as an anaesthetic for fish, using juvenile tambaqui Colossoma macropomum as a model. The times to induction and recovery after short-term anaesthesia were evaluated by concentration-response trials. Moreover, electrophysiological responses in muscle (EMG), electrocardiographic data (ECG), opercular beat intensity (OBI) and rate (OBR) were also evaluated. Juveniles were placed in aquaria containing six concentrations of EOC (200, 400, 600, 800, 1000 and 1600μLL1) and the times of anaesthetic induction and recovery were registered. Sham control fish and fish exposed to ethanol-added water were used as controls. With the exception of the lowest concentration used (200μLL1), deep anaesthesia was attained at all other subsequent concentrations, being the use of 600μLL1 sufficient to promote rapid induction (<3min) and uneventful recovery (<5min) from deep anaesthesia; while the concentration of 200μLL1 was sufficient to induce sedation. EOC elicited a conspicuous depression on muscle contraction power with loss of muscle tonus. Although transient cardiorespiratory depression occurred during deep anaesthesia, gradual increases in the amplitudes of the differences in potential and frequencies in EMG, OBI and ECG, corroborate the reversibility and smooth transition to normal swimming behaviour during recovery from anaesthesia with EOC.





  • Efficiency of intraoperative neuromonitoring on voice outcomes after thyroid surgery
    27 juin 2017
    Publication date: October 2017
    Source:Auris Nasus Larynx, Volume 44, Issue 5

    Author(s): Seung-Kuk Baek, Kijeong Lee, Dongju Oh, Sung Hoon Kang, Soon-Young Kwon, Jeong-Soo Woo, Jae-Gu Cho, Kyung Ho Oh, Doh Young Lee, Kwang-Yoon Jung

    Objective Voice disturbance is an important problem after thyroidectomy. The aim of this study was to evaluate the efficiency of intraoperative neuromonitoring (IONM) in reducing early phonation change by comparing postoperative voice outcomes. Methods The study retrospectively enrolled 68 consecutive female patients who had undergone IONM thyroidectomy for papillary thyroid carcinoma occurring between January 2014 and November 2014. A historical group of 117 similar female patients not receiving IONM thyroidectomy was used as an external control. Voice analyses were performed preoperatively and at 1 week, 1 month, and 3 months postoperatively. Voice outcomes between the IONM group and no IONM group were compared in patients who underwent hemithyroidectomy and total thyroidectomy. Results In patients who underwent IONM, there were significantly smaller changes in the fundamental frequency at postoperative 1 month and in the maximum voice pitch of the voice range profile at postoperative 1 week irrespective of the extent of thyroid surgery. Conclusion IONM during thyroid surgery resulted in better outcomes regarding fundamental frequency and high-pitch voice in the early postoperative period. IONM appears to be an effective method to reduce temporary phonation alteration after thyroid surgery.





  • Specific ion effects in polysaccharide dispersions
    27 juin 2017
    Publication date: 1 October 2017
    Source:Carbohydrate Polymers, Volume 173

    Author(s): Duccio Tatini, Filippo Sarri, Piefrancesco Maltoni, Moira Ambrosi, Emiliano Carretti, Barry W. Ninham, Pierandrea Lo Nostro

    The specific effects induced by some strong electrolytes or neutral co-solutes on aqueous mixtures of guar gum (GG), sodium alginate (SA) and sodium hyaluronate (SH) were studied through rheology and DSC experiments. The results are discussed in terms of changes in the polymer conformation, structure of the network and hydration properties. This study is also aimed at controlling the viscosity of the aqueous mixtures for application in green formulations to be used as fracturing fluids for shale gas extraction plants.





  • Muscle strength and force development in high- and low-functioning elderly men: Influence of muscular and neural factors
    27 juin 2017
    Publication date: 1 October 2017
    Source:Experimental Gerontology, Volume 96

    Author(s): Charlotte H. Pion, Sébastien Barbat-Artigas, Félix St-Jean-Pelletier, Stéphanie Chevalier, Pierrette Gaudreau, Gilles Gouspillou, José A. Morais, Marc Bélanger, Mylène Aubertin-Leheudre

    Background Aging leads to a loss of muscle strength and functional capacity likely resulting from a combination of neural and muscle alterations. The aim of this study was to identify possible disparities in muscle strength and force development profiles in high- and low-functioning elderly men and to investigate muscular and neurophysiological factors that could explain the differences. Methods Sixty community-dwelling men in good general health were divided in two groups based on a functional capacity (FC) z-score derived from 6 tests of the Short Physical Performance Battery and Senior Fitness Test (Normal and fast 4m-walk tests, normal and fast Timed-up and go, chair and stair tests). Extensor strength of the lower limbs (LL) was obtained for concentric (CLES) contraction and combined with lean masses of LL (LLLM) to yield concentric (CLES/LLLM) index. Similarly, extensor strength of the right Quadriceps Femoris (IKES) was obtained during maximal voluntary isometric contraction (MVC) and combined with right thigh lean mass (rTLM) to produce an isometric strength (IKES/rTLM) index. A muscular profile was obtained from: ascending and descending force slopes during the MVC; Vastus Lateralis (VL) muscle twitches parameters (amplitude, contraction and ½ relaxation times); the knee joint velocity (KV) as well as integrated EMG (iEMG) were determined for a sit-to-stand functional evaluation; muscle phenotype. A neurophysiological profile was established from: the spinal excitability (Hmax/Mmax ratio); motoneuron conduction velocity (CV); the completeness of muscle activation (% of force reserve), median power frequency (MPF) and mean amplitude (MA) of the VL EMG signal during MVC. Results Coincidently, age did not differ between groups. Strength and force indices, descending force slopes for MVC, KV and iEMG during the sit-to-stand evaluation and FC parameters were all significantly (p<0.05) lower in the LoFC group than in the HiFC group. In contrast, no difference was observed between groups in: LLLM and rTLM, Hmax/Mmax ratio, CV, twitch parameters and muscle phenotype. Conclusion The lower concentric and isometric strengths found in the LoFC group could not be accounted for by muscular factors. Similarly, peripheral nervous systems alterations could not explain group differences. It can be suggested that modifications within the central nervous system may be responsible for the differences in the functional status of healthy elderly individuals. Finally, more complex and demanding tasks, such as those requiring greater intensity or coordination, may further clarify how healthy elderly individuals with low and high functional capacities differ.





  • Human-computer interaction for users with cerebral palsy based on head orientation. Can cursor’s movement be modeled by Fitts’s law?
    27 juin 2017
    Publication date: October 2017
    Source:International Journal of Human-Computer Studies, Volume 106

    Author(s): Miguel A. Velasco, Alejandro Clemotte, Rafael Raya, Ramón Ceres, Eduardo Rocon

    This paper presents an experiment to validate a head-mounted inertial interface for human-computer interaction (HCI) developed for people with cerebral palsy (CP). The method is based on Fitts’s law, an empirical model of human motor performance for aimed movements. Head motion is recorded in a series of goal-crossing tasks and a regression model of the movement time (MT) is estimated for each user. Values of R 2 above 0.9 are indicators of a strong correlation of those motion patterns with the linear model proposed by Fitts. The analysis of MT confirmed that head movements of users without disability follow Fitts’s law and showed that 3 users with CP (MACS IV and V) had the same behavior. There was a weaker correlation (R 2=0.839) for one individual with cervical dystonia and ballistic movements and no correlation for two users with cervical hypotonia and dyskinetic CP. Results show the impact of ballistic movements and poor postural control in computer interaction. They also provide the foundation for new interaction techniques to develop a universal computer interface for motor impaired users.





  • An EMG-assisted modeling approach to assess passive lumbar tissue loading in vivo during trunk bending
    27 juin 2017
    Publication date: October 2017
    Source:Journal of Electromyography and Kinesiology, Volume 36

    Author(s): Xiaopeng Ning

    Lower back pain (LBP) is a condition with high prevalence and high cost both in the United States and around the world. The magnitude of mechanical loading on spine is strongly associated with the occurrence of LBP. Previously, to assess spinal loading, biologically assisted biomechanical models were developed to estimate trunk muscle contraction forces. Loadings on lumbar passive tissues are estimated using anatomical models. However, despite the substantial individual variability in lumbar ligament geometry and viscoelastic properties, the existing anatomical models do not account for these differences. As such, the accuracy of model prediction is compromised especially when mid to full range of trunk motions are involved. This paper describes a new modeling approach to assess lumbar passive tissue loading with the consideration of individual differences in lumbar passive tissue properties. A data set that has trunk bending data from 13 human participants was analyzed; on average, lumbar passive tissue contributes to ∼89% of the total spinal compression force at fully flexed trunk postures; the estimated spinal tissue loadings were in feasible ranges as reported from previous cadaver studies; the estimated spinal loadings were also mostly in agreement with results from previous in vivo studies.





 

Mis à jour le 03 avril 2013