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...
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MDPI AG
2023-08-01
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Online Access: | https://www.mdpi.com/1424-8220/23/15/6998 |
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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. |
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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 |
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