A novel objective function for predicting reasonable muscle forces in subject-specific model

Jongsang Son, Y. Kim*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Objective functions in adjusting model parameters have been widely used to minimize the variance of joint moments, but it may be insufficient to estimate reasonable muscle forces. The purpose of this study was to introduce a novel objective function based on a correlation coefficient for predicting reliable muscle forces, and compare its performance to the existing objective function. A man with right-sided hemiparesis after stroke participated in the study, and performed the maximum voluntary isometric contractions with a dynamometer at an angular velocity of 30°/s. To compare the effects of the existing and the new objective functions on prediction of muscle forces, the relative root-mean-square error and correlation coefficient were calculated for joint moments and individual muscle forces. The new objective function yielded promising results, implying that it could potentially be used to estimate reliable muscle forces. In the future, this approach will be applied to various movements to determine the reliability of muscle forces and to understand mechanisms from the reliable muscle forces.

Original languageEnglish (US)
Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Pages4867-4870
Number of pages4
DOIs
StatePublished - Dec 14 2012
Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
Duration: Aug 28 2012Sep 1 2012

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
CountryUnited States
CitySan Diego, CA
Period8/28/129/1/12

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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