DocumentCode :
2260161
Title :
Estimation of lower limb muscle forces during human sit-to-stand process with a rehabilitation training system
Author :
Cao, Enguo ; Inoue, Yoshio ; Liu, Tao ; Shibata, Kyoko
Author_Institution :
Dept. of Intell. Mech. Syst. Eng., Kochi Univ. of Technol., Kami, Japan
fYear :
2012
fDate :
5-7 Jan. 2012
Firstpage :
1016
Lastpage :
1019
Abstract :
As it is inconvenient to directly measure tension forces of muscles attaching on limbs, a new quantitative method for estimating muscle forces of lower limb was presented based on a developed rehabilitation training system and AnyBody Modeling System. In the AnyBody Modeling System, which professionally concerns on musculoskeletal kinematic modeling and analysis, quantitative results of muscle forces can be calculated through an inverse dynamics method. In this study, a musculoskeletal model composed of thigh, shank and foot was established in the AnyBody Modeling System, and an experiment was performed to acquire dynamics parameters of body segments with the rehabilitation training system during the sit-to-stand process. Then tension forces of muscles of lower limb were calculated through the inverse dynamics analysis, and the calculated results matched the muscle activation level tendency of electromyography (EMG) method, which was also adopted in the experiment for validation. The method for estimating muscle forces appears to be a practical means to determine muscle forces in musculoskeletal analysis of human limb.
Keywords :
biomechanics; biomedical measurement; bone; electromyography; force measurement; inverse problems; patient rehabilitation; AnyBody modeling system; EMG; electromyography; foot; human limb; inverse dynamics method; lower limb muscle force; muscle activation level tendency; musculoskeletal kinematic modeling; rehabilitation training system; shank; sit-to-stand process; tension force; thigh; Analytical models; Musculoskeletal system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-2176-2
Electronic_ISBN :
978-1-4577-2175-5
Type :
conf
DOI :
10.1109/BHI.2012.6211762
Filename :
6211762
Link To Document :
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