Assessing Stride Variables and Vertical Stiffness with GPS-Embedded Accelerometers: Preliminary Insights for the Monitoring of Neuromuscular Fatigue on the Field.
Identifieur interne : 002633 ( PubMed/Curation ); précédent : 002632; suivant : 002634Assessing Stride Variables and Vertical Stiffness with GPS-Embedded Accelerometers: Preliminary Insights for the Monitoring of Neuromuscular Fatigue on the Field.
Auteurs : Martin Buchheit [Australie] ; Andrew Gray [Australie] ; Jean-Benoit Morin [France]Source :
- Journal of sports science & medicine [ 1303-2968 ] ; 2015.
Abstract
The aim of the present study was to examine the ability of a GPS-imbedded accelerometer to assess stride variables and vertical stiffness (K), which are directly related to neuromuscular fatigue during field-based high-intensity runs. The ability to detect stride imbalances was also examined. A team sport player performed a series of 30-s runs on an instrumented treadmill (6 runs at 10, 17 and 24 km·h(-1)) with or without his right ankle taped (aimed at creating a stride imbalance), while wearing on his back a commercially-available GPS unit with an embedded 100-Hz tri-axial accelerometer. Contact (CT) and flying (FT) time, and K were computed from both treadmill and accelerometers (Athletic Data Innovations) data. The agreement between treadmill (criterion measure) and accelerometer-derived data was examined. We also compared the ability of the different systems to detect the stride imbalance. Biases were small (CT and K) and moderate (FT). The typical error of the estimate was trivial (CT), small (K) and moderate (FT), with nearly perfect (CT and K) and large (FT) correlations for treadmill vs. accelerometer. The tape induced very large increase in the right - left foot ∆ in CT, FT and K measured by the treadmill. The tape effect on CT and K ∆ measured with the accelerometers were also very large, but of lower magnitude than with the treadmill. The tape effect on accelerometer-derived ∆ FT was unclear. Present data highlight the potential of a GPS-embedded accelerometer to assess CT and K during ground running. Key pointsGPS-embedded tri-axial accelerometers may be used to assess contact time and vertical stiffness during ground running.These preliminary results open new perspective for the field monitoring of neuromuscular fatigue and performance in run-based sports.
PubMed: 26664264
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Performance Department, Paris Saint-Germain Football Club , Saint-Germain-en-Laye, France ; Institute of Sport, Exercise and Active Living, College of Sport and Exercise Science, Victoria University , Melbourne, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Sport Science Department, Myorobie Association , Montvalezan, France ; Performance Department, Paris Saint-Germain Football Club , Saint-Germain-en-Laye, France ; Institute of Sport, Exercise and Active Living, College of Sport and Exercise Science, Victoria University , Melbourne</wicri:regionArea></affiliation></author><author><name sortKey="Gray, Andrew" sort="Gray, Andrew" uniqKey="Gray A" first="Andrew" last="Gray">Andrew Gray</name><affiliation wicri:level="1"><nlm:affiliation>Athletic Data Innovations , Sydney, Australia ; Cronulla Sharks Rugby League Football Club , Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Athletic Data Innovations , Sydney, Australia ; Cronulla Sharks Rugby League Football Club </wicri:regionArea></affiliation></author><author><name sortKey="Morin, Jean Benoit" sort="Morin, Jean Benoit" uniqKey="Morin J" first="Jean-Benoit" last="Morin">Jean-Benoit Morin</name><affiliation wicri:level="1"><nlm:affiliation>Laboratoire Motricité Humaine Education Sport Santé, Université de Nice Sophia Antipolis , Nice, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Laboratoire Motricité Humaine Education Sport Santé, Université de Nice Sophia Antipolis , Nice</wicri:regionArea></affiliation></author></analytic><series><title level="j">Journal of sports science & medicine</title><idno type="ISSN">1303-2968</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The aim of the present study was to examine the ability of a GPS-imbedded accelerometer to assess stride variables and vertical stiffness (K), which are directly related to neuromuscular fatigue during field-based high-intensity runs. The ability to detect stride imbalances was also examined. A team sport player performed a series of 30-s runs on an instrumented treadmill (6 runs at 10, 17 and 24 km·h(-1)) with or without his right ankle taped (aimed at creating a stride imbalance), while wearing on his back a commercially-available GPS unit with an embedded 100-Hz tri-axial accelerometer. Contact (CT) and flying (FT) time, and K were computed from both treadmill and accelerometers (Athletic Data Innovations) data. The agreement between treadmill (criterion measure) and accelerometer-derived data was examined. We also compared the ability of the different systems to detect the stride imbalance. Biases were small (CT and K) and moderate (FT). The typical error of the estimate was trivial (CT), small (K) and moderate (FT), with nearly perfect (CT and K) and large (FT) correlations for treadmill vs. accelerometer. The tape induced very large increase in the right - left foot ∆ in CT, FT and K measured by the treadmill. The tape effect on CT and K ∆ measured with the accelerometers were also very large, but of lower magnitude than with the treadmill. The tape effect on accelerometer-derived ∆ FT was unclear. Present data highlight the potential of a GPS-embedded accelerometer to assess CT and K during ground running. Key pointsGPS-embedded tri-axial accelerometers may be used to assess contact time and vertical stiffness during ground running.These preliminary results open new perspective for the field monitoring of neuromuscular fatigue and performance in run-based sports.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">26664264</PMID><DateCreated><Year>2015</Year><Month>12</Month><Day>15</Day></DateCreated><DateCompleted><Year>2015</Year><Month>12</Month><Day>15</Day></DateCompleted><DateRevised><Year>2017</Year><Month>02</Month><Day>20</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1303-2968</ISSN><JournalIssue CitedMedium="Print"><Volume>14</Volume><Issue>4</Issue><PubDate><Year>2015</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Journal of sports science & medicine</Title><ISOAbbreviation>J Sports Sci Med</ISOAbbreviation></Journal><ArticleTitle>Assessing Stride Variables and Vertical Stiffness with GPS-Embedded Accelerometers: Preliminary Insights for the Monitoring of Neuromuscular Fatigue on the Field.</ArticleTitle><Pagination><MedlinePgn>698-701</MedlinePgn></Pagination><Abstract><AbstractText>The aim of the present study was to examine the ability of a GPS-imbedded accelerometer to assess stride variables and vertical stiffness (K), which are directly related to neuromuscular fatigue during field-based high-intensity runs. The ability to detect stride imbalances was also examined. A team sport player performed a series of 30-s runs on an instrumented treadmill (6 runs at 10, 17 and 24 km·h(-1)) with or without his right ankle taped (aimed at creating a stride imbalance), while wearing on his back a commercially-available GPS unit with an embedded 100-Hz tri-axial accelerometer. Contact (CT) and flying (FT) time, and K were computed from both treadmill and accelerometers (Athletic Data Innovations) data. The agreement between treadmill (criterion measure) and accelerometer-derived data was examined. We also compared the ability of the different systems to detect the stride imbalance. Biases were small (CT and K) and moderate (FT). The typical error of the estimate was trivial (CT), small (K) and moderate (FT), with nearly perfect (CT and K) and large (FT) correlations for treadmill vs. accelerometer. The tape induced very large increase in the right - left foot ∆ in CT, FT and K measured by the treadmill. The tape effect on CT and K ∆ measured with the accelerometers were also very large, but of lower magnitude than with the treadmill. The tape effect on accelerometer-derived ∆ FT was unclear. Present data highlight the potential of a GPS-embedded accelerometer to assess CT and K during ground running. Key pointsGPS-embedded tri-axial accelerometers may be used to assess contact time and vertical stiffness during ground running.These preliminary results open new perspective for the field monitoring of neuromuscular fatigue and performance in run-based sports.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Buchheit</LastName><ForeName>Martin</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Sport Science Department, Myorobie Association , Montvalezan, France ; Performance Department, Paris Saint-Germain Football Club , Saint-Germain-en-Laye, France ; Institute of Sport, Exercise and Active Living, College of Sport and Exercise Science, Victoria University , Melbourne, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gray</LastName><ForeName>Andrew</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Athletic Data Innovations , Sydney, Australia ; Cronulla Sharks Rugby League Football Club , Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Morin</LastName><ForeName>Jean-Benoit</ForeName><Initials>JB</Initials><AffiliationInfo><Affiliation>Laboratoire Motricité Humaine Education Sport Santé, Université de Nice Sophia Antipolis , Nice, France.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>11</Month><Day>24</Day></ArticleDate></Article><MedlineJournalInfo><Country>Turkey</Country><MedlineTA>J Sports Sci Med</MedlineTA><NlmUniqueID>101174629</NlmUniqueID><ISSNLinking>1303-2968</ISSNLinking></MedlineJournalInfo><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Int J Sports Physiol Perform. 2014 Nov;9(6):945-52</RefSource><PMID Version="1">24622625</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Eur J Appl Physiol. 2011 Jan;111(1):125-34</RefSource><PMID Version="1">20824280</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Int J Sports Physiol Perform. 2011 Sep;6(3):311-21</RefSource><PMID Version="1">21911857</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Sports Med. 2013 Aug;43(8):655-63</RefSource><PMID Version="1">23661303</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Int J Sports Physiol Perform. 2013 Jul;8(4):373-8</RefSource><PMID Version="1">23170747</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Int J Sports Med. 2006 Feb;27(2):158-65</RefSource><PMID Version="1">16475063</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Med Sci Sports Exerc. 2009 Jan;41(1):3-13</RefSource><PMID Version="1">19092709</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Br J Sports Med. 2011 Jul;45(9):709-14</RefSource><PMID Version="1">21119022</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Sci Med Sport. 2013 May;16(3):271-5</RefSource><PMID Version="1">22883597</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Int J Sports Physiol Perform. 2011 Sep;6(3):295-310</RefSource><PMID Version="1">21911856</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Appl Biomech. 2005 May;21(2):167-80</RefSource><PMID Version="1">16082017</PMID></CommentsCorrections></CommentsCorrectionsList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Movement tracking</Keyword><Keyword MajorTopicYN="N">fatigue monitoring</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>04</Month><Day>08</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2015</Year><Month>07</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>12</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>12</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>12</Month><Day>15</Day><Hour>6</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26664264</ArticleId><ArticleId IdType="pmc">PMC4657410</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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