0000000000699196

AUTHOR

Toufik Bakir

showing 3 related works from this author

Mesure de la fatigue musculaire par électromyostimulation

2014

National audience; Le but de cette étude est de définir un nouvel indice de fatigue musculaire, grâce à un calcul par transformée en ondelettes continue et de comparer cet indice à ceux habituellement utilisés dans la littérature. Tous ces indices sont obtenus à partir de l’activité électrique desmuscles enregistrée par électromyogramme (EMG) pendant une contraction du muscle stimulé par excitation (EMS), grâce à des traitements en temps réel des signaux EMG. Sa robustesse vis-à-vis du bruit ou de la troncature des signaux montre l’intérêt d’utiliser ce nouvel indice de fatigue.

[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics
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Electromyostimulation and EMG real time device with muscle fatigue estimation

2012

International audience; This study presents a system composed of an electromyostimulation (ES) and an electromyograph (EMG) modules which analyze in real time EMG during ES and proposes a new method based on wavelet decomposition to analyze changes in M wave. It leads to introduce a new muscular fatigue index. Different methods to filter the EMG noise are then compared. The results show that this new index gives reliable and robust results even when noise corrupts significantly the signal.

[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics
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A control strategy based on intelligent algorithm (PSO) to perform electrical stimulation systems

2017

International audience; Adjusting stimulation parameters using control strategy based on reliable mathematical model that can predict perfectly the muscle response, may improve the efficiency of Functional Electrical Stimulation (FES) systems. In the present project, we investigate the PID control tuning based on the Particle Swarm Optimization (PSO) algorithm at the first time in neuro-muscular systems for updating automatically the stimulation pulse amplitude to track a desired force profiles. In the beginning, The PSO algorithm is used to identify unknown force model parameters. Next, optimal PID gains are found by the same intelligent algorithm to improve the control system. The obtaine…

pulse amplitude.[SPI.AUTO] Engineering Sciences [physics]/Automaticmuscle force modelFunctional Electrical Stimulation[ SPI.AUTO ] Engineering Sciences [physics]/AutomaticPID controllerPSO algorithm[SPI.AUTO]Engineering Sciences [physics]/Automatic
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