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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Arjunan, S.P. Kumar, D.K. Bastos, T. |
| Copyright Year | 2012 |
| Description | Author affiliation: Electr. Eng. Dept., Fed. Univ. of Espirito Santo, Vitoria, Brazil (Bastos, T.) || Biosignals Lab., RMIT Univ., Melbourne, VIC, Australia (Arjunan, S.P.; Kumar, D.K.) |
| Abstract | This study has investigated the effect of age on the fractal based complexity measure of muscle activity and variance in the force of isometric muscle contraction. Surface electromyogram (sEMG) and force of muscle contraction were recorded from 40 healthy subjects categorized into: Group 1: Young - age range 20-30; 10 Males and 10 Females, Group 2: Old - age range 55-70; 10 Males and 10 Females during isometric exercise at Maximum Voluntary contraction (MVC). The results show that there is a reduction in the complexity of surface electromyogram (sEMG) associated with aging. The results demonstrate that there is an increase in the coefficient of variance (CoV) of the force of muscle contraction and a decrease in complexity of sEMG for the Old age group when compared with the Young age group. |
| Sponsorship | IEEE Eng. Medicine Biol. Soc. |
| Starting Page | 3484 |
| Ending Page | 3487 |
| File Size | 293349 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441198 |
| ISSN | 1557170X |
| e-ISBN | 9781457717871 |
| DOI | 10.1109/EMBC.2012.6346716 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Muscles Complexity theory Force Fractals Aging Correlation USA Councils |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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