An investigation of surface EMG shorts derived training load during treadmill running

Ashcroft, K., Robinson, T., Condell, J., Penpraze, V., White, A. and Bird, S. P. (2023) An investigation of surface EMG shorts derived training load during treadmill running. Sensors, 23(15), 6998. (doi: 10.3390/s23156998) (PMID:37571780) (PMCID:PMC10422274)

Abstract

The purpose of this study was two-fold: (1) to determine the sensitivity of the sEMG shorts-derived training load (sEMG-TL) during different running speeds; and (2) to investigate the relationship between the oxygen consumption, heart rate (HR), rating of perceived exertion (RPE), accelerometry-based PlayerLoadTM (PL), and sEMG-TL during a running maximum oxygen uptake (V˙O2max) test. The study investigated ten healthy participants. On day one, participants performed a three-speed treadmill test at 8, 10, and 12 km·h−1 for 2 min at each speed. On day two, participants performed a V˙O2max test. Analysis of variance found significant differences in sEMG-TL at all three speeds (p < 0.05). A significantly weak positive relationship between sEMG-TL and %V˙O2max (r = 0.31, p < 0.05) was established, while significantly strong relationships for 8 out of 10 participants at the individual level (r = 0.72–0.97, p < 0.05) were found. Meanwhile, the accelerometry PL was not significantly related to %V˙O2max (p > 0.05) and only demonstrated significant correlations in 3 out of 10 participants at the individual level. Therefore, the sEMG shorts-derived training load was sensitive in detecting a work rate difference of at least 2 km·h−1. sEMG-TL may be an acceptable metric for the measurement of internal loads and could potentially be used as a surrogate for oxygen consumption.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: White, Mr Andrew and Penpraze, Ms Victoria

Creator Roles

Penpraze, V.: Conceptualization, Methodology, Writing – original draft, Writing – review and editing, Supervision
White, A.: Conceptualization

• Authors: Ashcroft, K., Robinson, T., Condell, J., Penpraze, V., White, A., and Bird, S. P.
• College/School: College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
• Journal Name: Sensors
• Publisher: MDPI
• ISSN: 1424-8220
• ISSN (Online): 1424-8220
• Published Online: 07 August 2023
• Copyright Holders: Copyright © 2023 The Authors
• First Published: First published in Sensors 23(15):6998
• Publisher Policy: Reproduced under a Creative Commons license