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A comparison of measured and modelled energetics, estimated from global positioning systems (GPS) velocity / ROBERT OWEN

Swansea University Author: ROBERT OWEN

Abstract

Introduction:Traditionally in laboratory settings, indirect calorimetry and blood lactate B[La] analysis provide a criterion measure of bioenergetics, although it is not feasible within a multitude of competitive sports. Mathematical modelling provides a solution to estimate metabolic power during c...

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Published: Swansea 2022
Institution: Swansea University
Degree level: Master of Research
Degree name: MSc by Research
Supervisor: Waldron, Mark ; Kilduff, Liam P.
URI: https://cronfa.swan.ac.uk/Record/cronfa59620
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first_indexed 2022-03-15T10:03:43Z
last_indexed 2022-03-16T04:32:02Z
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-03-15T10:34:28.7993030</datestamp><bib-version>v2</bib-version><id>59620</id><entry>2022-03-15</entry><title>A comparison of measured and modelled energetics, estimated from global positioning systems (GPS) velocity</title><swanseaauthors><author><sid>33fda2581e453c95463389477086886b</sid><firstname>ROBERT</firstname><surname>OWEN</surname><name>ROBERT OWEN</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-03-15</date><abstract>Introduction:Traditionally in laboratory settings, indirect calorimetry and blood lactate B[La] analysis provide a criterion measure of bioenergetics, although it is not feasible within a multitude of competitive sports. Mathematical modelling provides a solution to estimate metabolic power during competitive sport, whereby a sprint running model was proposed, using global positioning systems (GPS) velocity data and the known energy cost of the equivalent slope running. Now a novel mechanical approach has been presented as an alternative model to estimate metabolic power from GPS velocity data and principles of the work-energy theorem. The purpose of this study was to compare metabolic power as produced from the sprint running model, the mechanical model and indirect calorimetry. Methods:Thirteen participants performed a maximal effort 400 m- and a repeated 40 m- sprint and sub-maximal continuous running and repeated 20 m shuttle running test. The tests were completed across two testing sessions a week apart. In all tests, through exercise and recovery periods, V&#x307; O2 was measured by single breath analysis and B[La] was sampled during the recovery. The sum of V&#x307; O2 and B[La] determined the energy cost. GPS velocity data collected throughout each test was processed through the sprint running and mechanical models to estimate energy cost. Results:Indirect calorimetry determined significantly greater values of overall metabolic power than sprint running (P &lt; 0.001) and mechanical (P &lt; 0.001) models across all exercise tests, and the mechanical model estimated larger overall metabolic power values than the sprint running model. Conclusion:This study urges sports scientists to understand the constructs of modelling bioenergetics and the inherent limitations of modelled energetics before implementing them within professional practice. Modelled bioenergetics may provide an estimation of the aerobic energy demand of overground running during exercise but is unable to account for the increased metabolic supply post-exercise.</abstract><type>E-Thesis</type><journal/><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher/><placeOfPublication>Swansea</placeOfPublication><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic/><keywords>Energy Cost, GPS, Indirect Calorimetry, Energetic Modelling, Mechanical Modelling</keywords><publishedDay>15</publishedDay><publishedMonth>3</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-03-15</publishedDate><doi/><url/><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><supervisor>Waldron, Mark ; Kilduff, Liam P.</supervisor><degreelevel>Master of Research</degreelevel><degreename>MSc by Research</degreename><apcterm/><lastEdited>2022-03-15T10:34:28.7993030</lastEdited><Created>2022-03-15T09:58:52.6491675</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Uncategorised</level></path><authors><author><firstname>ROBERT</firstname><surname>OWEN</surname><order>1</order></author></authors><documents><document><filename>59620__22594__693b852fe21e4b56873d3cb271c5fc09.pdf</filename><originalFilename>Owen_Robert_MSc_Research_Thesis_Final_Redacted_Signatures.pdf</originalFilename><uploaded>2022-03-15T10:28:15.2087293</uploaded><type>Output</type><contentLength>1378851</contentLength><contentType>application/pdf</contentType><version>E-Thesis &#x2013; open access</version><cronfaStatus>true</cronfaStatus><documentNotes>Copyright: The author, Robert Owen, 2022.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2022-03-15T10:34:28.7993030 v2 59620 2022-03-15 A comparison of measured and modelled energetics, estimated from global positioning systems (GPS) velocity 33fda2581e453c95463389477086886b ROBERT OWEN ROBERT OWEN true false 2022-03-15 Introduction:Traditionally in laboratory settings, indirect calorimetry and blood lactate B[La] analysis provide a criterion measure of bioenergetics, although it is not feasible within a multitude of competitive sports. Mathematical modelling provides a solution to estimate metabolic power during competitive sport, whereby a sprint running model was proposed, using global positioning systems (GPS) velocity data and the known energy cost of the equivalent slope running. Now a novel mechanical approach has been presented as an alternative model to estimate metabolic power from GPS velocity data and principles of the work-energy theorem. The purpose of this study was to compare metabolic power as produced from the sprint running model, the mechanical model and indirect calorimetry. Methods:Thirteen participants performed a maximal effort 400 m- and a repeated 40 m- sprint and sub-maximal continuous running and repeated 20 m shuttle running test. The tests were completed across two testing sessions a week apart. In all tests, through exercise and recovery periods, V̇ O2 was measured by single breath analysis and B[La] was sampled during the recovery. The sum of V̇ O2 and B[La] determined the energy cost. GPS velocity data collected throughout each test was processed through the sprint running and mechanical models to estimate energy cost. Results:Indirect calorimetry determined significantly greater values of overall metabolic power than sprint running (P < 0.001) and mechanical (P < 0.001) models across all exercise tests, and the mechanical model estimated larger overall metabolic power values than the sprint running model. Conclusion:This study urges sports scientists to understand the constructs of modelling bioenergetics and the inherent limitations of modelled energetics before implementing them within professional practice. Modelled bioenergetics may provide an estimation of the aerobic energy demand of overground running during exercise but is unable to account for the increased metabolic supply post-exercise. E-Thesis Swansea Energy Cost, GPS, Indirect Calorimetry, Energetic Modelling, Mechanical Modelling 15 3 2022 2022-03-15 COLLEGE NANME COLLEGE CODE Swansea University Waldron, Mark ; Kilduff, Liam P. Master of Research MSc by Research 2022-03-15T10:34:28.7993030 2022-03-15T09:58:52.6491675 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised ROBERT OWEN 1 59620__22594__693b852fe21e4b56873d3cb271c5fc09.pdf Owen_Robert_MSc_Research_Thesis_Final_Redacted_Signatures.pdf 2022-03-15T10:28:15.2087293 Output 1378851 application/pdf E-Thesis – open access true Copyright: The author, Robert Owen, 2022. true eng
title A comparison of measured and modelled energetics, estimated from global positioning systems (GPS) velocity
spellingShingle A comparison of measured and modelled energetics, estimated from global positioning systems (GPS) velocity
ROBERT OWEN
title_short A comparison of measured and modelled energetics, estimated from global positioning systems (GPS) velocity
title_full A comparison of measured and modelled energetics, estimated from global positioning systems (GPS) velocity
title_fullStr A comparison of measured and modelled energetics, estimated from global positioning systems (GPS) velocity
title_full_unstemmed A comparison of measured and modelled energetics, estimated from global positioning systems (GPS) velocity
title_sort A comparison of measured and modelled energetics, estimated from global positioning systems (GPS) velocity
author_id_str_mv 33fda2581e453c95463389477086886b
author_id_fullname_str_mv 33fda2581e453c95463389477086886b_***_ROBERT OWEN
author ROBERT OWEN
author2 ROBERT OWEN
format E-Thesis
publishDate 2022
institution Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description Introduction:Traditionally in laboratory settings, indirect calorimetry and blood lactate B[La] analysis provide a criterion measure of bioenergetics, although it is not feasible within a multitude of competitive sports. Mathematical modelling provides a solution to estimate metabolic power during competitive sport, whereby a sprint running model was proposed, using global positioning systems (GPS) velocity data and the known energy cost of the equivalent slope running. Now a novel mechanical approach has been presented as an alternative model to estimate metabolic power from GPS velocity data and principles of the work-energy theorem. The purpose of this study was to compare metabolic power as produced from the sprint running model, the mechanical model and indirect calorimetry. Methods:Thirteen participants performed a maximal effort 400 m- and a repeated 40 m- sprint and sub-maximal continuous running and repeated 20 m shuttle running test. The tests were completed across two testing sessions a week apart. In all tests, through exercise and recovery periods, V̇ O2 was measured by single breath analysis and B[La] was sampled during the recovery. The sum of V̇ O2 and B[La] determined the energy cost. GPS velocity data collected throughout each test was processed through the sprint running and mechanical models to estimate energy cost. Results:Indirect calorimetry determined significantly greater values of overall metabolic power than sprint running (P < 0.001) and mechanical (P < 0.001) models across all exercise tests, and the mechanical model estimated larger overall metabolic power values than the sprint running model. Conclusion:This study urges sports scientists to understand the constructs of modelling bioenergetics and the inherent limitations of modelled energetics before implementing them within professional practice. Modelled bioenergetics may provide an estimation of the aerobic energy demand of overground running during exercise but is unable to account for the increased metabolic supply post-exercise.
published_date 2022-03-15T04:17:04Z
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score 11.037581

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