Wearable technology for evaluating asymmetries of the lower limb musculature – UROP Spring Symposium 2021

Wearable technology for evaluating asymmetries of the lower limb musculature

Andrew Phillips


Pronouns: Him/He/His

Research Mentor(s): Peter Bodary, Clinical Assistant Professor
Research Mentor School/College/Department: Movement Science, School of Kinesiology
Presentation Date: Thursday, April 22, 2021
Session: Session 3 (1pm-1:50pm)
Breakout Room: Room 19
Presenter: 3

Event Link


Asymmetries in strength and mobility can be detrimental to performance and may contribute to the development of musculoskeletal injuries. The aim of this study was to assess the effectiveness of using surface electromyography (sEMG) to detect imbalances between muscles of the lower limb during air squats. An additional aim was to determine the effect banded hip mobility exercises may have on decreasing muscle imbalances. To begin exploring these aims, one participant was evaluated during a series of lower body movements. Muscle recruitment patterns were evaluated using a commercially available “smart garment” with embedded sEMG sensors. The sEMG sensors were used to calculate the percent difference between left and right training load of the quadriceps, hamstrings, and glutes. Validation of the sEMG sensors to detect differences in load was conducted by performing single leg controlled movements. Air squats were performed before and after banded hip mobility exercises to observe any effect on muscle recruitment patterns. When used to calculate differences in load, sEMG sensors appear to be an effective way to evaluate asymmetries between muscle groups of the lower limb.

Authors: Andrew Phillips, Peter Bodary
Research Method: Clinical Research

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