NARX muscle model based on Functional Electrical Stimulation (FES) using polynomial estimators and Singular Value Decomposition (SVD)
This paper presents the development of muscle model based on FES stimulation parameters using the Nonlinear Auto-Regressive model with Exogenous Inputs (NARX). FES stimulations with varying frequency, pulse width and pulse duration were used to estimate the muscle torque. The proposed approach manag...
| Published in: | Proceedings - 2015 IEEE Conference on System, Process and Control, ICSPC 2015 |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
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Institute of Electrical and Electronics Engineers Inc.
2016
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009135369&doi=10.1109%2fSPC.2015.7473579&partnerID=40&md5=106b7692191df7c12d8cd44768d25944 |
| Summary: | This paper presents the development of muscle model based on FES stimulation parameters using the Nonlinear Auto-Regressive model with Exogenous Inputs (NARX). FES stimulations with varying frequency, pulse width and pulse duration were used to estimate the muscle torque. The proposed approach managed to approximate the behavior of the system well with unbiased residuals. © 2015 IEEE. |
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| ISSN: | |
| DOI: | 10.1109/SPC.2015.7473579 |