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Inverse Estimation of Multiple Muscle Activations under Isokinetic Condition

Zhan Li 1, * Mitsuhiro Hayashibe 1, * David Guiraud 1, *
* Corresponding author
1 DEMAR - Artificial movement and gait restoration
CRISAM - Inria Sophia Antipolis - Méditerranée , LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Electromyogram (EMG) is a useful technique for recording activation process by measuring a summation of motor unit action potentials (MUAP) produced by muscles. EMG signals have been acquired and processed to establish mappingsbetween muscle activation, torque or/and joint position. A common way for constructing such relationship is to use torque, position and multiple-channel EMG signals. In this paper, all three muscles' activations are estimated through torque and position information via using multi-output regression. Results show that such approach is effective in multiple muscle(s) activations (EMG) identification and predictions.
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00750594
Contributor : Zhan Li <>
Submitted on : Sunday, November 11, 2012 - 3:05:07 PM
Last modification on : Thursday, January 31, 2019 - 1:40:02 PM

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  • HAL Id : lirmm-00750594, version 1

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Zhan Li, Mitsuhiro Hayashibe, David Guiraud. Inverse Estimation of Multiple Muscle Activations under Isokinetic Condition. ICNR: International Conference on NeuroRehabilitation, Nov 2012, Toledo, Spain. pp.347-351. ⟨lirmm-00750594⟩

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