An Investigation of Surface EMG Shorts-Derived Training Load during Treadmill Running

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-base...

Full description

Bibliographic Details
Main Authors: Kurtis Ashcroft, Tony Robinson, Joan Condell, Victoria Penpraze, Andrew White, Stephen P. Bird
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/15/6998
_version_ 1797585973924593664
author Kurtis Ashcroft
Tony Robinson
Joan Condell
Victoria Penpraze
Andrew White
Stephen P. Bird
author_facet Kurtis Ashcroft
Tony Robinson
Joan Condell
Victoria Penpraze
Andrew White
Stephen P. Bird
author_sort Kurtis Ashcroft
collection DOAJ
description 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 PlayerLoad<sup>TM</sup> (PL), and sEMG-TL during a running maximum oxygen uptake (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mrow><mi mathvariant="normal">V</mi></mrow><mo mathvariant="normal">˙</mo></mover></mrow></semantics></math></inline-formula>O<sub>2max</sub>) test. The study investigated ten healthy participants. On day one, participants performed a three-speed treadmill test at 8, 10, and 12 km·h<sup>−1</sup> for 2 min at each speed. On day two, participants performed a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mrow><mi mathvariant="normal">V</mi></mrow><mo mathvariant="normal">˙</mo></mover></mrow></semantics></math></inline-formula>O<sub>2max</sub> test. Analysis of variance found significant differences in sEMG-TL at all three speeds (<i>p</i> < 0.05). A significantly weak positive relationship between sEMG-TL and %<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mrow><mi mathvariant="normal">V</mi></mrow><mo mathvariant="normal">˙</mo></mover></mrow></semantics></math></inline-formula>O<sub>2max</sub> (<i>r</i> = 0.31, <i>p</i> < 0.05) was established, while significantly strong relationships for 8 out of 10 participants at the individual level (<i>r</i> = 0.72–0.97, <i>p</i> < 0.05) were found. Meanwhile, the accelerometry PL was not significantly related to %<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mrow><mi mathvariant="normal">V</mi></mrow><mo mathvariant="normal">˙</mo></mover></mrow></semantics></math></inline-formula>O<sub>2max</sub> (<i>p</i> > 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<sup>−1</sup>. sEMG-TL may be an acceptable metric for the measurement of internal loads and could potentially be used as a surrogate for oxygen consumption.
first_indexed 2024-03-11T00:16:36Z
format Article
id doaj.art-84100def3c4745b7ad61ecd9bedd47a0
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-03-11T00:16:36Z
publishDate 2023-08-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-84100def3c4745b7ad61ecd9bedd47a02023-11-18T23:37:18ZengMDPI AGSensors1424-82202023-08-012315699810.3390/s23156998An Investigation of Surface EMG Shorts-Derived Training Load during Treadmill RunningKurtis Ashcroft0Tony Robinson1Joan Condell2Victoria Penpraze3Andrew White4Stephen P. Bird5Faculty of Computing, Engineering and the Built Environment, Ulster University, Derry BT48 7JL, UKFaculty of Computing, Engineering and the Built Environment, Ulster University, Derry BT48 7JL, UKFaculty of Computing, Engineering and the Built Environment, Ulster University, Derry BT48 7JL, UKSchool of Cardiovascular and Metabolic Health, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UKSchool of Cardiovascular and Metabolic Health, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UKSchool of Health and Medical Sciences, University of Southern Queensland, Ipswich, QLD 4305, AustraliaThe 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 PlayerLoad<sup>TM</sup> (PL), and sEMG-TL during a running maximum oxygen uptake (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mrow><mi mathvariant="normal">V</mi></mrow><mo mathvariant="normal">˙</mo></mover></mrow></semantics></math></inline-formula>O<sub>2max</sub>) test. The study investigated ten healthy participants. On day one, participants performed a three-speed treadmill test at 8, 10, and 12 km·h<sup>−1</sup> for 2 min at each speed. On day two, participants performed a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mrow><mi mathvariant="normal">V</mi></mrow><mo mathvariant="normal">˙</mo></mover></mrow></semantics></math></inline-formula>O<sub>2max</sub> test. Analysis of variance found significant differences in sEMG-TL at all three speeds (<i>p</i> < 0.05). A significantly weak positive relationship between sEMG-TL and %<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mrow><mi mathvariant="normal">V</mi></mrow><mo mathvariant="normal">˙</mo></mover></mrow></semantics></math></inline-formula>O<sub>2max</sub> (<i>r</i> = 0.31, <i>p</i> < 0.05) was established, while significantly strong relationships for 8 out of 10 participants at the individual level (<i>r</i> = 0.72–0.97, <i>p</i> < 0.05) were found. Meanwhile, the accelerometry PL was not significantly related to %<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mrow><mi mathvariant="normal">V</mi></mrow><mo mathvariant="normal">˙</mo></mover></mrow></semantics></math></inline-formula>O<sub>2max</sub> (<i>p</i> > 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<sup>−1</sup>. sEMG-TL may be an acceptable metric for the measurement of internal loads and could potentially be used as a surrogate for oxygen consumption.https://www.mdpi.com/1424-8220/23/15/6998surface electromyographytextile sEMGoxygen consumptioninternal loadexternal loadtraining load
spellingShingle Kurtis Ashcroft
Tony Robinson
Joan Condell
Victoria Penpraze
Andrew White
Stephen P. Bird
An Investigation of Surface EMG Shorts-Derived Training Load during Treadmill Running
Sensors
surface electromyography
textile sEMG
oxygen consumption
internal load
external load
training load
title An Investigation of Surface EMG Shorts-Derived Training Load during Treadmill Running
title_full An Investigation of Surface EMG Shorts-Derived Training Load during Treadmill Running
title_fullStr An Investigation of Surface EMG Shorts-Derived Training Load during Treadmill Running
title_full_unstemmed An Investigation of Surface EMG Shorts-Derived Training Load during Treadmill Running
title_short An Investigation of Surface EMG Shorts-Derived Training Load during Treadmill Running
title_sort investigation of surface emg shorts derived training load during treadmill running
topic surface electromyography
textile sEMG
oxygen consumption
internal load
external load
training load
url https://www.mdpi.com/1424-8220/23/15/6998
work_keys_str_mv AT kurtisashcroft aninvestigationofsurfaceemgshortsderivedtrainingloadduringtreadmillrunning
AT tonyrobinson aninvestigationofsurfaceemgshortsderivedtrainingloadduringtreadmillrunning
AT joancondell aninvestigationofsurfaceemgshortsderivedtrainingloadduringtreadmillrunning
AT victoriapenpraze aninvestigationofsurfaceemgshortsderivedtrainingloadduringtreadmillrunning
AT andrewwhite aninvestigationofsurfaceemgshortsderivedtrainingloadduringtreadmillrunning
AT stephenpbird aninvestigationofsurfaceemgshortsderivedtrainingloadduringtreadmillrunning
AT kurtisashcroft investigationofsurfaceemgshortsderivedtrainingloadduringtreadmillrunning
AT tonyrobinson investigationofsurfaceemgshortsderivedtrainingloadduringtreadmillrunning
AT joancondell investigationofsurfaceemgshortsderivedtrainingloadduringtreadmillrunning
AT victoriapenpraze investigationofsurfaceemgshortsderivedtrainingloadduringtreadmillrunning
AT andrewwhite investigationofsurfaceemgshortsderivedtrainingloadduringtreadmillrunning
AT stephenpbird investigationofsurfaceemgshortsderivedtrainingloadduringtreadmillrunning