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Physiological Musculoskeletal Model Identification for the Lower Limbs Control of Paraplegic Under Implanted FES

Mourad Benoussaad 1 David Guiraud 1 Philippe Poignet 1
1 DEMAR - Artificial movement and gait restoration
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : This paper concerns the whole physiological parameters identification of a musculoskeletal model of a human subject. The patient is equipped with an implanted Functional Electrical Stimulation (FES) system as part of the SUAW's European project [1]. The biomechanical model represents the knee and its associated muscles. The identification protocol is noninvasive and based on the in-vivo experimental data acquisition of a Spinal Cord Injured (SCI) patient. However, the human noninvasive identification poses problems of naccessibility to some data. The identification procedure consists of several steps, in order to identify: the anthropometrical parameters, the geometrical parameters, the joint mechanical parameters, the force-length relationship and the recruitment function. Up to now, only the quadriceps muscle is considered with the knee joint in the identification procedure. A cross-validation has been done using data set not used during the identification process. The identified model shows a satisfactory response comparing to the measured knee response, which is obtained by stimulating the quadriceps through the implanted FES system. In this work, knee model-parameters of the implanted subject were identified successfully using the noninvasive identification procedure.
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Contributor : Mourad Benoussaad <>
Submitted on : Friday, December 4, 2009 - 7:00:06 AM
Last modification on : Thursday, February 7, 2019 - 4:19:00 PM
Long-term archiving on: : Tuesday, June 15, 2010 - 9:25:55 PM


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Mourad Benoussaad, David Guiraud, Philippe Poignet. Physiological Musculoskeletal Model Identification for the Lower Limbs Control of Paraplegic Under Implanted FES. IROS'09: International Conference on Intelligent RObots and Systems, Oct 2009, St. Louis, MO, United States. pp.3549-3554, ⟨10.1109/IROS.2009.5354348⟩. ⟨lirmm-00413447⟩



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