DocumentCode
2502245
Title
Surface EMG model of the bicep during aging: A preliminary study
Author
Wheeler, Katherine A. ; Kumar, Dinesh K. ; Shimada, Hirokazu ; Arjunan, Sridhar P. ; Kalra, Chandan
Author_Institution
Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
7127
Lastpage
7130
Abstract
Reduction in the median frequency and the amplitude of surface electromyogram (sEMG) has been observed among older subjects compared with the younger cohort. These changes in sEMG have been associated with a reduction in the number of muscle fibers and a drop in the ratio of type II muscle fibers. However, the details of this association are not known. This paper has experimentally determined the difference between the magnitude and spectrum of sEMG of the younger and older cohorts, and estimated the changes to the muscle by populating a lifelike model with the experimental data. Experiments were conducted on subjects belonging to younger (20-28 years) and older (61-69) age groups. From the simulated results, it is shown that experimental sEMG signals are matched by the model representing the older cohort with a substantially reduced number of motor units compared to the younger people. In the model, the best match with experimental results was observed when the ratio of the bicep motor units between the older and the younger subjects was 0.5. The results also indicate a substantial reduction in the ratio of fast fibers, from 0.45 in the younger cohort to 0.11 in the older cohort.
Keywords
ageing; electromyography; medical diagnostic computing; physiological models; age 20 yr to 28 yr; age 61 yr to 69 yr; aging; bicep motor units; electromyogram; lifelike model; older subjects; surface EMG model; type II muscle fibers; Aging; Electromyography; Force; Neuromuscular; Optical fiber sensors; Physiology; Adult; Age Factors; Aged; Aging; Algorithms; Cohort Studies; Computer Simulation; Electromyography; Equipment Design; Female; Humans; Models, Statistical; Motor Neurons; Muscle, Skeletal; Muscles; Reproducibility of Results; Stress, Mechanical;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6091801
Filename
6091801
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