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Content Provider | IEEE Xplore Digital Library |
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Author | Benoussaad, M. Hayashibe, M. Fattal, C. Poignet, P. Guiraud, D. |
Copyright Year | 2009 |
Description | Author affiliation: PROPARA rehabilitation center, 263 Rue caduce - 34090 Montpellier, France (Fattal, C.) || INRIA Sophia-Antipolis -DEMAR Project and LIRMM, UMR5506 CNRS UM2, 161 Rue Ada - 34392 Montpellier Cedex 5, France (Benoussaad, M.; Hayashibe, M.; Poignet, P.; Guiraud, D.) |
Abstract | The knowledge and prediction of the behavior of electrically activated muscles are important requisites for the movement restoration by FES in spinal cord injured subjects. The whole parameter’s identification of a physiological musculoskeletal model for FES is investigated in this work. The model represents the knee and its associated quadriceps muscle. The identification protocol is noninvasive and based on the in-vivo experiments on paraplegic subjects. The isometric and nonisometric data was obtained by stimulating the quadriceps muscles of 3 paraplegic subjects through surface electrodes. A cross validation has been carried out using nonisometric data set. The normalized RMS errors between the identified model and the measured knee response are presented for each subject. |
Starting Page | 6538 |
Ending Page | 6541 |
File Size | 367098 |
Page Count | 4 |
File Format | |
ISBN | 9781424432967 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2009.5334507 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-09-03 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Musculoskeletal system Muscles Knee Frequency Parameter estimation Sampling methods Leg Predictive models Protocols Electrodes |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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