Identification of a modified Wiener–Hammerstein system and its application in electrically stimulated paralyzed skeletal muscle modeling

Er-Wei Bai; Zhijun Cai; Shauna Dudley-Javorosk; Richard K Shields

doi:10.1016/j.automatica.2008.09.023

Back

Identification of a modified Wiener–Hammerstein system and its application in electrically stimulated paralyzed skeletal muscle modeling

Journal article

Peer reviewed

Identification of a modified Wiener–Hammerstein system and its application in electrically stimulated paralyzed skeletal muscle modeling

Er-Wei Bai, Zhijun Cai, Shauna Dudley-Javorosk and Richard K Shields

Automatica (Oxford), Vol.45(3), pp.736-743

2009

DOI: 10.1016/j.automatica.2008.09.023

PMCID: PMC3586551

PMID: 23467426

View Online

Abstract

Electrical muscle stimulation demonstrates potential for restoring functional movement and preventing muscle atrophy after spinal cord injury (SCI). Control systems used to optimize delivery of electrical stimulation protocols depend upon mathematical models of paralyzed muscle force outputs. While accurate, the Hill–Huxley-type model is very complex, making it difficult to implement for real-time control. As an alternative, we propose a modified Wiener–Hammerstein system to model the paralyzed skeletal muscle dynamics under electrical stimulus conditions. Experimental data from the soleus muscles of individuals with SCI was used to quantify the model performance. It is shown that the proposed Wiener–Hammerstein system is at least comparable to the Hill–Huxley-type model. On the other hand, the proposed system involves a much smaller number of unknown coefficients. This has substantial advantages in identification algorithm analysis and implementation including computational complexity, convergence and also in real-time model implementation for control purposes.

System identification

Medical applications

Wiener–Hammerstein systems

Nonlinear systems

Details

Title: Subtitle: Identification of a modified Wiener–Hammerstein system and its application in electrically stimulated paralyzed skeletal muscle modeling
Creators: Er-Wei Bai - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States
Zhijun Cai - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States
Shauna Dudley-Javorosk - Graduate Program in Physical Therapy and Rehabilitation Science, University of Iowa, Iowa City, IA 52242, United States
Richard K Shields - Graduate Program in Physical Therapy and Rehabilitation Science, University of Iowa, Iowa City, IA 52242, United States
Resource Type: Journal article
Publication Details: Automatica (Oxford), Vol.45(3), pp.736-743
DOI: 10.1016/j.automatica.2008.09.023
PMID: 23467426
PMCID: PMC3586551
NLM abbreviation: Automatica (Oxf)
ISSN: 0005-1098
eISSN: 1873-2836
Publisher: Elsevier Ltd
Language: English
Date published: 2009
Academic Unit: Electrical and Computer Engineering; Orthopedics and Rehabilitation; Physical Therapy and Rehabilitation Science
Record Identifier: 9984046821602771

Metrics

24 Record Views

63 Times Cited - Web of Science