Inverse Estimation of Multiple Muscle Activations under Isokinetic Condition - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Conference Papers Year : 2012

Inverse Estimation of Multiple Muscle Activations under Isokinetic Condition

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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Biotechnology
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Dates and versions

lirmm-00750594 , version 1 (11-11-2012)

Identifiers

  • HAL Id : lirmm-00750594 , version 1

Cite

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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