Article
Neurosciences
Xiaojun Wang, Junlin Wang, Ningbo Fei, Dehao Duanmu, Beibei Feng, Xiaodong Li, Wing-Yuk Ip, Yong Hu
Summary: This study observed the long-term effect of motor skill learning on amputees who developed unique muscle activation patterns to control their prostheses. The results showed that with proper feedback training, amputees could learn distinct muscle activation patterns and improve myoelectric prosthetic control performance. The effect of motor skill learning has a lasting impact on sEMG pattern classification accuracy.
COGNITIVE NEURODYNAMICS
(2023)
Article
Neurosciences
Mahdie Khaliq Fard, Ali Fallah, Ali Maleki
Summary: This paper investigates the brain activity and muscle synergy map of upper extremity in daily living movements, and proposes a synergy-based neural decoding method. By acquiring simultaneous electroencephalogram and electromyogram signals, the maximum correlation of neural commands with muscle synergies is extracted using a combined partial least squares and canonical correlation analysis method, and the relationship between extracted motor commands and muscle synergies is decoded using an Elman neural network. The experimental results demonstrate the high accuracy of the proposed method.
COGNITIVE NEURODYNAMICS
(2022)
Article
Biophysics
Zohreh Shafizadegan, Javad Sarrafzadeh, Farzam Farahmand, Reza Salehi, Omid Rasouli
Summary: This study aimed to investigate the changes in kinematic synergy in people with knee osteoarthritis (KOA) compared to asymptomatic participants. The results showed that both KOA and asymptomatic individuals could utilize kinematic synergy to control the center of mass (COM) displacement, regardless of walking conditions. Additionally, the KOA group exhibited higher synergy index on narrow paths.
JOURNAL OF BIOMECHANICS
(2022)
Article
Engineering, Biomedical
Zhengye Pan, Lushuai Liu, Xingman Li, Yunchao Ma
Summary: This study proposes a new method to compensate muscle synergy in order to predict kinematic characteristics more accurately. The study uses the change of direction in running as the background and establishes a non-linear association between synergy and the height of pelvic mass centre. The results show that the compensated synergy significantly improves accuracy in predicting pelvic centre of mass displacement.
MEDICAL ENGINEERING & PHYSICS
(2023)
Review
Clinical Neurology
Anatol G. Feldman, Mindy F. Levin, Alessandro Garofolini, Daniele Piscitelli, Lei Zhang
Summary: Human locomotion relies on stable body equilibrium and adjustments to a reference body configuration, with speed determined by the rate of configuration shifts. Muscle activation is based on deviation from the reference configuration.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Sport Sciences
Michal Pawlowski, Mariusz P. Furmanek, Grzegorz Sobota, Wojciech Marszalek, Kajetan J. Slomka, Bogdan Bacik, Grzegorz Juras
Summary: The study aimed to determine the minimum number of trials needed to analyze variance in synergies within the uncontrolled manifold framework, finding that at least twelve trials are necessary to achieve good to excellent levels of reliability.
JOURNAL OF HUMAN KINETICS
(2021)
Article
Neurosciences
Javier Rodriguez-Falces, Saioa Etxaleku, Igor Setuain, Armando Malanda, Javier Navallas
Summary: Changing the reference electrode location revealed that the tendon potential, although small, significantly impacted the second phase of the M wave. The use of a distant reference system also allowed recording of far-field components, providing insights into the electrical formation of the M wave.
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
(2022)
Article
Automation & Control Systems
Quy-Thinh Dao, Dinh-Hoang Mai, Dang-Khanh Nguyen, Ngoc-Thuan Ly
Summary: This paper presents a discrete-time adaptive parameter integral sliding mode controller to improve the trajectory tracking performance of two pneumatic artificial muscles in an antagonistic configuration. The controller combines an extended observer and an integral sliding mode controller, which enables it to adapt to uncertain parameters and reduce chattering phenomenon.
JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Quy-Thinh Dao, Vuong Van Dinh, Chien Tuan Vu, Thuyet Quang Pham, Duc Minh Duong
Summary: The Pneumatic Artificial Muscle (PAM) is a promising actuator for human-robot interaction, but its modeling and control are challenging due to uncertainty and hysteresis. This study proposes a sliding mode controller with an adaptive law to improve control performance. The stability of the controller is proven based on a Lyapunov stability criterion. Through tests, the effectiveness of the proposed control approach is verified.
ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH
(2023)
Meeting Abstract
Computer Science, Interdisciplinary Applications
P. Vallee, T. Robert
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
(2015)
Article
Engineering, Biomedical
Sonia Duprey, Fabien Billuart, Sungjin Sah, Xavier Ohl, Thomas Robert, Wafa Skalli, Xuguang Wang
JOURNAL OF APPLIED BIOMECHANICS
(2015)
Article
Biophysics
Pascal Vallee, Romain Tisserand, Thomas Robert
JOURNAL OF BIOMECHANICS
(2015)
Review
Clinical Neurology
R. Tisserand, T. Robert, P. Chabaud, P. Livet, M. Bonnefoy, L. Cheze
NEUROPHYSIOLOGIE CLINIQUE-CLINICAL NEUROPHYSIOLOGY
(2015)
Article
Neurosciences
Romain Tisserand, Thomas Robert, Pascal Chabaud, Marc Bonnefoy, Laurence Cheze
FRONTIERS IN HUMAN NEUROSCIENCE
(2016)
Article
Neurosciences
R. Tisserand, T. Robert, R. Dumas, L. Cheze
Article
Neurosciences
Ann Hallemans, Evi Verbecque, Raphael Dumas, Laurence Cheze, Angele Van Hamme, Thomas Robert
Meeting Abstract
Computer Science, Interdisciplinary Applications
T. Robert, A. Rouard, L. Seifert
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
(2013)
Meeting Abstract
Computer Science, Interdisciplinary Applications
T. Robert, P. Vallee
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
(2014)
Article
Engineering, Industrial
Thomas Robert, Julien Causse, Lisa Denninger, Xuguang Wang
Article
Biophysics
T. Robert, J. Causse, G. Monnier
JOURNAL OF BIOMECHANICS
(2013)
Article
Multidisciplinary Sciences
Zohaib Aftab, Thomas Robert, Pierre-Brice Wieber
Article
Engineering, Electrical & Electronic
Nahime Al Abiad, Yacouba Kone, Valerie Renaudin, Thomas Robert
Summary: Step detection is critical for various applications, and achieving robust step detection for different human gaits and sensor locations remains challenging. This study proposes a machine-learning-based step detection method called Smartstep, which does not rely on sensor positions, step modes, hand motion modes, or threshold calibration. The method demonstrates promising performance in challenging conditions and shows good precision and recall rates for blind gait. The study concludes that Smartstep is robust and can be used in other applications and populations.
IEEE SENSORS JOURNAL
(2022)
Review
Engineering, Mechanical
Elliot Polome, Nicolas Theveniau, Cedric Vigier, Raphael Dumas, Thomas Robert
Summary: The aim of this study is to review the current literature on test techniques for studying shoe wear over time by simulating the contact phase between the shoe and the ground. The study identified and analyzed eight peer-reviewed studies that described different machines and testing arrangements. The most advanced machines had control over the kinematics of the shoe and ground reaction forces, but their simulations still fell short of replicating real human movements. The reviewed studies did not present long-term wear test results. The review summarized the existing mechanical approaches and identified promising concepts and future research tracks.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART P-JOURNAL OF SPORTS ENGINEERING AND TECHNOLOGY
(2022)
Proceedings Paper
Robotics
Zohaib Aftab, Thomas Robert, Pierre-Brice Wieber
2012 12TH IEEE-RAS INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS)
(2012)