Journal article
Mathematical models of human paralyzed muscle after long-term training
Journal of biomechanics, Vol.40(12), pp.2587-2595
2007
DOI: 10.1016/j.jbiomech.2006.12.015
PMCID: PMC3272269
PMID: 17316653
Abstract
Spinal cord injury (SCI) results in major musculoskeletal adaptations, including muscle atrophy, faster contractile properties, increased fatigability, and bone loss. The use of functional electrical stimulation (FES) provides a method to prevent paralyzed muscle adaptations in order to sustain force-generating capacity. Mathematical muscle models may be able to predict optimal activation strategies during FES, however muscle properties further adapt with long-term training. The purpose of this study was to compare the accuracy of three muscle models, one linear and two nonlinear, for predicting paralyzed soleus muscle force after exposure to long-term FES training. Further, we contrasted the findings between the trained and untrained limbs. The three models' parameters were best fit to a single force train in the trained soleus muscle (N=4). Nine additional force trains (test trains) were predicted for each subject using the developed models. Model errors between predicted and experimental force trains were determined, including specific muscle force properties. The mean overall error was greatest for the linear model (15.8%) and least for the nonlinear Hill Huxley type model (7.8%). No significant error differences were observed between the trained versus untrained limbs, although model parameter values were significantly altered with training. This study confirmed that nonlinear models most accurately predict both trained and untrained paralyzed muscle force properties. Moreover, the optimized model parameter values were responsive to the relative physiological state of the paralyzed muscle (trained versus untrained). These findings are relevant for the design and control of neuro-prosthetic devices for those with SCI.
Details
- Title: Subtitle
- Mathematical models of human paralyzed muscle after long-term training
- Creators
- L A Frey Law - Graduate Program in Physical Therapy & Rehabilitation Science, The University of Iowa, 1-252 Medical Education Building, Iowa City, IA 52242-1190, USAR K Shields
- Resource Type
- Journal article
- Publication Details
- Journal of biomechanics, Vol.40(12), pp.2587-2595
- DOI
- 10.1016/j.jbiomech.2006.12.015
- PMID
- 17316653
- PMCID
- PMC3272269
- NLM abbreviation
- J Biomech
- ISSN
- 0021-9290
- eISSN
- 1873-2380
- Publisher
- United States
- Grant note
- R01 HD039445 / NICHD NIH HHS R01 NR010285 / NINR NIH HHS R01-HD39445 / NICHD NIH HHS R01-NR010285 / NINR NIH HHS R01 HD039445-04 / NICHD NIH HHS
- Language
- English
- Date published
- 2007
- Academic Unit
- Orthopedics and Rehabilitation; Nursing; Physical Therapy and Rehabilitation Science
- Record Identifier
- 9984047893202771
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