Inverse Estimation of Multiple Muscle Activations under Isokinetic Condition

Zhan Li 1, * Mitsuhiro Hayashibe 1, * David Guiraud 1, *
* Auteur correspondant
1 DEMAR - Artificial movement and gait restoration
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
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.
Type de document :
Communication dans un congrès
ICNR: International Conference on NeuroRehabilitation, Nov 2012, Toledo, Spain. pp.347-351, 2012, Converging Clinical and Engineering Research. 〈http://icnr2012.org〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00750594
Contributeur : Zhan Li <>
Soumis le : dimanche 11 novembre 2012 - 15:05:07
Dernière modification le : jeudi 11 janvier 2018 - 16:20:43

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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, 2012, Converging Clinical and Engineering Research. 〈http://icnr2012.org〉. 〈lirmm-00750594〉

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