ArticleAutomatica : the journal of IFAC, the International Federation of Automatic Control2009
Identification of a Modified Wiener-Hammerstein System and Its Application in Electrically Stimulated Paralyzed Skeletal Muscle Modeling.
Article in Automatica : the journal of IFAC, the International Federation of Automatic Control, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Two-Stage Shape Memory Alloy Identification Based on the Hammerstein-Wiener Model.Frontiers in robotics and AI · 2019Article
- Inverting Monotonic Nonlinearities by Entropy Maximization.PloS one · 2016Article
- Fatigue and non-fatigue mathematical muscle models during functional electrical stimulation of paralyzed muscle.Biomedical signal processing and control · 2010Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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.
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Registered trials
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