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Age related neuromuscular changes in sEMG of m. Tibialis Anterior using higher order statistics (Gaussianity and linearity test)

conference contribution
posted on 2024-10-31, 20:06 authored by Ariba Moti Siddiqi, Sridhar Poosapadi Arjunan, Dinesh KumarDinesh Kumar
Age-associated changes in the surface electromyogram (sEMG) of Tibialis Anterior (TA) muscle can be attributable to neuromuscular alterations that precede strength loss. We have used our sEMG model of the Tibialis Anterior to interpret the age-related changes and compared with the experimental sEMG. Eighteen young (20-30 years) and 18 older (60-85 years) performed isometric dorsiflexion at 6 different percentage levels of maximum voluntary contractions (MVC), and their sEMG from the TA muscle was recorded. Six different age-related changes in the neuromuscular system were simulated using the sEMG model at the same MVCs as the experiment. The maximal power of the spectrum, Gaussianity and Linearity Test Statistics were computed from the simulated and experimental sEMG. A correlation analysis at α=0.05 was performed between the simulated and experimental age-related change in the sEMG features. The results show the loss in motor units was distinguished by the Gaussianity and Linearity test statistics; while the maximal power of the PSD distinguished between the muscular factors. The simulated condition of 40% loss of motor units with halved the number of fast fibers best correlated with the age-related change observed in the experimental sEMG higher order statistical features. The simulated aging condition found by this study corresponds with the moderate motor unit remodelling and negligible strength loss reported in literature for the cohorts aged 60-70 years.

History

Start page

3638

End page

3641

Total pages

4

Outlet

Proceedings of the IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC 2016)

Name of conference

EMBC 2016: Empowering Individual Healthcare Decisions through Technology

Publisher

IEEE

Place published

United States

Start date

2016-08-16

End date

2016-08-20

Language

English

Copyright

© IEEE 2016

Former Identifier

2006067548

Esploro creation date

2020-06-22

Fedora creation date

2016-10-26

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