DocumentCode
2105265
Title
A novel objective function for predicting reasonable muscle forces in subject-specific model
Author
Son, Junggab ; Kim, Youngjae
Author_Institution
Dept. of Biomed. Eng., Yonsei Univ., Wonju, South Korea
fYear
2012
fDate
Aug. 28 2012-Sept. 1 2012
Firstpage
4867
Lastpage
4870
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.
Keywords
biomechanics; dynamometers; electromyography; angular velocity; correlation coefficient; dynamometer; joint moment variance; model parameters; muscle forces; objective function; right-sided hemiparesis; root-mean-square error; stroke; subject-specific model; voluntary isometric contractions; Electromyography; Force; Joints; Linear programming; Mathematical model; Muscles; Reliability; Adolescent; Computer Simulation; Elbow Joint; Humans; Male; Models, Biological; Movement; Muscle Contraction; Muscle, Skeletal; Paresis;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location
San Diego, CA
ISSN
1557-170X
Print_ISBN
978-1-4244-4119-8
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/EMBC.2012.6347084
Filename
6347084
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