A time to exhaustion model during prolonged running based on wearable accelerometers
Defining relationships between running mechanisms and fatigue can be a major asset for optimising training. This article proposes a biomechanical model of time to exhaustion according to indicators derived from accelerometry data collected from the body. Ten volunteers were recruited for this study....
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| Veröffentlicht in: | Sports biomechanics 2021-04, Vol.20 (3), p.330-343 |
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| description | Defining relationships between running mechanisms and fatigue can be a major asset for optimising training. This article proposes a biomechanical model of time to exhaustion according to indicators derived from accelerometry data collected from the body. Ten volunteers were recruited for this study. The participants were equipped with 3 accelerometers: on the right foot, at the tibia and at the L4-L5 lumbar spine. A running test was performed on a treadmill at 13.5 km/h until exhaustion. Thirty-one variables were deployed during the test. Multiple linear regressions were calculated to explain the time to exhaustion from the indicators calculated on the lumbar, tibia and foot individually and simultaneously. Time to exhaustion was predicted for simultaneous measurement points with
and 21 indicators; for the lumbar with
and 11 indicators; for the tibia with
and 11 indicators; and for the foot with
and 12 indicators. This study allows the accurate modelling of the time to exhaustion during a running-based test using indicators from accelerometer measurements. The individual models highlight that the location of the measurement point is important and that each location provides different information. Future studies should focus on homogeneous populations to improve predictions and errors. |
| doi_str_mv | 10.1080/14763141.2018.1549682 |
| format | Article |
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and 21 indicators; for the lumbar with
and 11 indicators; for the tibia with
and 11 indicators; and for the foot with
and 12 indicators. This study allows the accurate modelling of the time to exhaustion during a running-based test using indicators from accelerometer measurements. The individual models highlight that the location of the measurement point is important and that each location provides different information. Future studies should focus on homogeneous populations to improve predictions and errors.</description><identifier>ISSN: 1476-3141</identifier><identifier>EISSN: 1752-6116</identifier><identifier>DOI: 10.1080/14763141.2018.1549682</identifier><identifier>PMID: 30681024</identifier><language>eng</language><publisher>ABINGDON: Routledge</publisher><subject>Accelerometry - instrumentation ; Adult ; biomechanical model ; Biomechanical Phenomena - physiology ; Biomechanics ; Engineering ; Engineering Sciences ; Engineering, Biomedical ; fatigue ; Feet ; Female ; Foot ; Humans ; Life Sciences & Biomedicine ; Linear Models ; Lumbosacral Region ; Male ; Materials and structures in mechanics ; Mechanical properties ; Mechanics ; Models, Biological ; Physical Endurance - physiology ; Physics ; Reproducibility of Results ; Running - physiology ; Science & Technology ; Spine (lumbar) ; sport ; Sport Sciences ; Stepwise regression ; Technology ; Tibia ; Time Factors ; Vibrations ; Wearable Electronic Devices</subject><ispartof>Sports biomechanics, 2021-04, Vol.20 (3), p.330-343</ispartof><rights>2019 Informa UK Limited, trading as Taylor & Francis Group 2019</rights><rights>2019 Informa UK Limited, trading as Taylor & Francis Group</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>3</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000623646700005</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c475t-881f26e6c99da7ebc6be8c6875991dc22c1a19d1c45328646bbc5bd65c905c493</citedby><cites>FETCH-LOGICAL-c475t-881f26e6c99da7ebc6be8c6875991dc22c1a19d1c45328646bbc5bd65c905c493</cites><orcidid>0000-0002-5685-1694</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/14763141.2018.1549682$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/14763141.2018.1549682$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>230,315,781,785,886,27929,27930,39263,59652,60441</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30681024$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-03085152$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Provot, Thomas</creatorcontrib><creatorcontrib>Chiementin, Xavier</creatorcontrib><creatorcontrib>Bolaers, Fabrice</creatorcontrib><creatorcontrib>Munera, Marcela</creatorcontrib><title>A time to exhaustion model during prolonged running based on wearable accelerometers</title><title>Sports biomechanics</title><addtitle>SPORT BIOMECH</addtitle><addtitle>Sports Biomech</addtitle><description>Defining relationships between running mechanisms and fatigue can be a major asset for optimising training. This article proposes a biomechanical model of time to exhaustion according to indicators derived from accelerometry data collected from the body. Ten volunteers were recruited for this study. The participants were equipped with 3 accelerometers: on the right foot, at the tibia and at the L4-L5 lumbar spine. A running test was performed on a treadmill at 13.5 km/h until exhaustion. Thirty-one variables were deployed during the test. Multiple linear regressions were calculated to explain the time to exhaustion from the indicators calculated on the lumbar, tibia and foot individually and simultaneously. Time to exhaustion was predicted for simultaneous measurement points with
and 21 indicators; for the lumbar with
and 11 indicators; for the tibia with
and 11 indicators; and for the foot with
and 12 indicators. This study allows the accurate modelling of the time to exhaustion during a running-based test using indicators from accelerometer measurements. The individual models highlight that the location of the measurement point is important and that each location provides different information. Future studies should focus on homogeneous populations to improve predictions and errors.</description><subject>Accelerometry - instrumentation</subject><subject>Adult</subject><subject>biomechanical model</subject><subject>Biomechanical Phenomena - physiology</subject><subject>Biomechanics</subject><subject>Engineering</subject><subject>Engineering Sciences</subject><subject>Engineering, Biomedical</subject><subject>fatigue</subject><subject>Feet</subject><subject>Female</subject><subject>Foot</subject><subject>Humans</subject><subject>Life Sciences & Biomedicine</subject><subject>Linear Models</subject><subject>Lumbosacral Region</subject><subject>Male</subject><subject>Materials and structures in mechanics</subject><subject>Mechanical properties</subject><subject>Mechanics</subject><subject>Models, Biological</subject><subject>Physical Endurance - physiology</subject><subject>Physics</subject><subject>Reproducibility of Results</subject><subject>Running - physiology</subject><subject>Science & Technology</subject><subject>Spine (lumbar)</subject><subject>sport</subject><subject>Sport Sciences</subject><subject>Stepwise regression</subject><subject>Technology</subject><subject>Tibia</subject><subject>Time Factors</subject><subject>Vibrations</subject><subject>Wearable Electronic Devices</subject><issn>1476-3141</issn><issn>1752-6116</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>EIF</sourceid><recordid>eNqNkU1v1DAQhiMEoh_wE0CRuFChLB5_xb6xWgFFWolLOVuOM2lTJXaxE5b-exxluwcOiJPHo-cdzTtvUbwBsgGiyEfgtWTAYUMJqA0IrqWiz4pzqAWtJIB8nuvMVAt0VlykdE8yCZS_LM4YkQoI5efFzbac-hHLKZT4-87OaeqDL8fQ4lC2c-z9bfkQwxD8LbZlnL1fOo1N-Ze5A9pomwFL6xwOGMOIE8b0qnjR2SHh6-N7Wfz48vlmd13tv3_9ttvuK8drMVVKQUclSqd1a2tsnGxQOalqoTW0jlIHFnQLjgtGleSyaZxoWimcJsJxzS6Lq3XunR3MQ-xHGx9NsL253u7N0iOMKAGC_oLMvl_ZbOfnjGkyY5_y0oP1GOZkKNSac0Y1y-i7v9D7MEefnRjKNa-hZnwZKFbKxZBSxO60ARCzRGSeIjJLROYYUda9PU6fmxHbk-opkwx8WIEDNqFLrkfv8IQRQiRl-Rh1rojItPp_etdPdgl4F2Y_ZemnVdr7LsTRHkIcWjPZxyHELlrv-mTYv838ASOLvxw</recordid><startdate>20210403</startdate><enddate>20210403</enddate><creator>Provot, Thomas</creator><creator>Chiementin, Xavier</creator><creator>Bolaers, Fabrice</creator><creator>Munera, Marcela</creator><general>Routledge</general><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><general>Taylor & Francis (Routledge): SSH Titles</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TS</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-5685-1694</orcidid></search><sort><creationdate>20210403</creationdate><title>A time to exhaustion model during prolonged running based on wearable accelerometers</title><author>Provot, Thomas ; Chiementin, Xavier ; Bolaers, Fabrice ; Munera, Marcela</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-881f26e6c99da7ebc6be8c6875991dc22c1a19d1c45328646bbc5bd65c905c493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Accelerometry - instrumentation</topic><topic>Adult</topic><topic>biomechanical model</topic><topic>Biomechanical Phenomena - physiology</topic><topic>Biomechanics</topic><topic>Engineering</topic><topic>Engineering Sciences</topic><topic>Engineering, Biomedical</topic><topic>fatigue</topic><topic>Feet</topic><topic>Female</topic><topic>Foot</topic><topic>Humans</topic><topic>Life Sciences & Biomedicine</topic><topic>Linear Models</topic><topic>Lumbosacral Region</topic><topic>Male</topic><topic>Materials and structures in mechanics</topic><topic>Mechanical properties</topic><topic>Mechanics</topic><topic>Models, Biological</topic><topic>Physical Endurance - physiology</topic><topic>Physics</topic><topic>Reproducibility of Results</topic><topic>Running - physiology</topic><topic>Science & Technology</topic><topic>Spine (lumbar)</topic><topic>sport</topic><topic>Sport Sciences</topic><topic>Stepwise regression</topic><topic>Technology</topic><topic>Tibia</topic><topic>Time Factors</topic><topic>Vibrations</topic><topic>Wearable Electronic Devices</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Provot, Thomas</creatorcontrib><creatorcontrib>Chiementin, Xavier</creatorcontrib><creatorcontrib>Bolaers, Fabrice</creatorcontrib><creatorcontrib>Munera, Marcela</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Physical Education Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Sports biomechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Provot, Thomas</au><au>Chiementin, Xavier</au><au>Bolaers, Fabrice</au><au>Munera, Marcela</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A time to exhaustion model during prolonged running based on wearable accelerometers</atitle><jtitle>Sports biomechanics</jtitle><stitle>SPORT BIOMECH</stitle><addtitle>Sports Biomech</addtitle><date>2021-04-03</date><risdate>2021</risdate><volume>20</volume><issue>3</issue><spage>330</spage><epage>343</epage><pages>330-343</pages><issn>1476-3141</issn><eissn>1752-6116</eissn><abstract>Defining relationships between running mechanisms and fatigue can be a major asset for optimising training. This article proposes a biomechanical model of time to exhaustion according to indicators derived from accelerometry data collected from the body. Ten volunteers were recruited for this study. The participants were equipped with 3 accelerometers: on the right foot, at the tibia and at the L4-L5 lumbar spine. A running test was performed on a treadmill at 13.5 km/h until exhaustion. Thirty-one variables were deployed during the test. Multiple linear regressions were calculated to explain the time to exhaustion from the indicators calculated on the lumbar, tibia and foot individually and simultaneously. Time to exhaustion was predicted for simultaneous measurement points with
and 21 indicators; for the lumbar with
and 11 indicators; for the tibia with
and 11 indicators; and for the foot with
and 12 indicators. This study allows the accurate modelling of the time to exhaustion during a running-based test using indicators from accelerometer measurements. The individual models highlight that the location of the measurement point is important and that each location provides different information. Future studies should focus on homogeneous populations to improve predictions and errors.</abstract><cop>ABINGDON</cop><pub>Routledge</pub><pmid>30681024</pmid><doi>10.1080/14763141.2018.1549682</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-5685-1694</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Taylor & Francis:Master (3349 titles); Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /> |
| subjects | Accelerometry - instrumentation Adult biomechanical model Biomechanical Phenomena - physiology Biomechanics Engineering Engineering Sciences Engineering, Biomedical fatigue Feet Female Foot Humans Life Sciences & Biomedicine Linear Models Lumbosacral Region Male Materials and structures in mechanics Mechanical properties Mechanics Models, Biological Physical Endurance - physiology Physics Reproducibility of Results Running - physiology Science & Technology Spine (lumbar) sport Sport Sciences Stepwise regression Technology Tibia Time Factors Vibrations Wearable Electronic Devices |
| title | A time to exhaustion model during prolonged running based on wearable accelerometers |
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