title: Surface EMG model of the bicep during aging: a preliminary study.
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.
authors.affiliation: School of Electrical and Computer Engineering at RMIT University, Melbourne, Australia. kathwheeler@student.rmit.edu.au
authors.forename: Katherine A
authors.initials: KA
authors.lastname: Wheeler
authors.forename: Dinesh K
authors.initials: DK
authors.lastname: Kumar
authors.forename: Hirokazu
authors.initials: H
authors.lastname: Shimada
authors.forename: Sridhar P
authors.initials: SP
authors.lastname: Arjunan
authors.forename: Chandan
authors.initials: C
authors.lastname: Kalra
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000375:Aging; D000465:Algorithms; D015331:Cohort Studies; D003198:Computer Simulation; D004576:Electromyography / Q000379:methods*; D004867:Equipment Design; D005260:Female; D006801:Humans; D015233:Models, Statistical; D009046:Motor Neurons / Q000378:metabolism; D018482:Muscle, Skeletal / Q000503:physiopathology*; D009132:Muscles / Q000502:physiology; D015203:Reproducibility of Results; D013314:Stress, Mechanical