Age Related Differences in the Surface EMG Signals on Adolescent's Muscle during Contraction

7Citations
Citations of this article
27Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The aim of this study was to investigate whether there are differences in the amplitude of the EMG signal among five different age groups of adolescent's muscle. Fifteen healthy adolescents participated in this study and they were divided into five age groups (13, 14, 15, 16 and 17 years). Subjects were performed dynamic contraction during lifting a standard weight (3-kg dumbbell) and EMG signals were recorded from their Biceps Brachii (BB) muscle. Two common EMG analysis techniques namely root mean square (RMS) and mean absolute values (MAV) were used to find the differences. The statistical analysis was included: linear regression to examine the relationships between EMG amplitude and age, repeated measures ANOVA to assess differences among the variables, and finally Coefficient of Variation (CoV) for signal steadiness among the groups of subjects during contraction. The result from RMS and MAV analysis shows that the 17-years age groups exhibited higher activity (0.28 and 0.19 mV respectively) compare to other groups (13-Years: 0.26 and 0.17 mV, 14-years: 0.25 and 0.23 mV, 15-Years: 0.23 and 0.16 mV, 16-years: 0.23 and 0.16 mV respectively). Also, this study shows modest correlation between age and signal activities among all age group's muscle. The experiential results can play a pivotal role for developing EMG prosthetic hand controller, neuromuscular system, EMG based rehabilitation aid and movement biomechanics, which may help to separate age groups among the adolescents.

Cite

CITATION STYLE

APA

Ahamed, N. U., Taha, Z., Alqahtani, M., Altwijri, O., Rahman, M., & Deboucha, A. (2016). Age Related Differences in the Surface EMG Signals on Adolescent’s Muscle during Contraction. In IOP Conference Series: Materials Science and Engineering (Vol. 114). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/114/1/012131

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free