DocumentCode :
2683441
Title :
Physiological musculoskeletal model identification for the lower limbs control of paraplegic under implanted FES
Author :
Benoussaad, Mourad ; Guiraud, David ; Poignet, Philippe
Author_Institution :
CNRS, Montpellier II Univ., Montpellier, France
fYear :
2009
fDate :
10-15 Oct. 2009
Firstpage :
3549
Lastpage :
3554
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. 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 inaccessibility 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.
Keywords :
anthropometry; biomechanics; data acquisition; identification; neurophysiology; physiological models; Functional Electrical Stimulation system; anthropometrical parameters; biomechanical model; cross validation; force length relationship; geometrical parameters; human noninvasive identification; identification protocol; invivo experimental data acquisition; joint mechanical parameters; knee joint; lower limbs control; paraplegic under implanted FES; physiological musculoskeletal model identification; quadriceps muscle; recruitment function; spinal cord injured patient; Data acquisition; Humans; Knee; Muscles; Musculoskeletal system; Neuromuscular stimulation; Parameter estimation; Protocols; Recruitment; Spinal cord;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
Type :
conf
DOI :
10.1109/IROS.2009.5354348
Filename :
5354348
Link To Document :
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