Assessing Stride Variables and Vertical Stiffness with GPS-Embedded Accelerometers: Preliminary Insights for the Monitoring of Neuromuscular Fatigue on the Field
Identifieur interne : 000208 ( Pmc/Corpus ); précédent : 000207; suivant : 000209Assessing Stride Variables and Vertical Stiffness with GPS-Embedded Accelerometers: Preliminary Insights for the Monitoring of Neuromuscular Fatigue on the Field
Auteurs : Martin Buchheit ; Andrew Gray ; Jean-Benoit MorinSource :
- 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.
GPS-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
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PubMed: 26664264
PubMed Central: 4657410
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PMC:4657410Le document en format XML
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<author><name sortKey="Buchheit, Martin" sort="Buchheit, Martin" uniqKey="Buchheit M" first="Martin" last="Buchheit">Martin Buchheit</name>
<affiliation><nlm:aff id="aff001"> Sport Science Department,<institution>Myorobie Association</institution>
,<addr-line>Montvalezan, France</addr-line>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="aff002"> Performance Department,<institution>Paris Saint-Germain Football Club</institution>
,<addr-line>Saint-Germain-en-Laye, France</addr-line>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="aff003"><institution>Institute of Sport, Exercise and Active Living, College of Sport and Exercise Science, Victoria University</institution>
,<addr-line>Melbourne, Australia</addr-line>
</nlm:aff>
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<author><name sortKey="Gray, Andrew" sort="Gray, Andrew" uniqKey="Gray A" first="Andrew" last="Gray">Andrew Gray</name>
<affiliation><nlm:aff id="aff004"><institution>Athletic Data Innovations</institution>
,<addr-line>Sydney, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="aff005"><institution>Cronulla Sharks Rugby League Football Club</institution>
,<addr-line>Australia</addr-line>
</nlm:aff>
</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><nlm:aff id="aff006"><institution>Laboratoire Motricité Humaine Education Sport Santé, Université de Nice Sophia Antipolis</institution>
,<addr-line>Nice, France</addr-line>
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<author><name sortKey="Buchheit, Martin" sort="Buchheit, Martin" uniqKey="Buchheit M" first="Martin" last="Buchheit">Martin Buchheit</name>
<affiliation><nlm:aff id="aff001"> Sport Science Department,<institution>Myorobie Association</institution>
,<addr-line>Montvalezan, France</addr-line>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="aff002"> Performance Department,<institution>Paris Saint-Germain Football Club</institution>
,<addr-line>Saint-Germain-en-Laye, France</addr-line>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="aff003"><institution>Institute of Sport, Exercise and Active Living, College of Sport and Exercise Science, Victoria University</institution>
,<addr-line>Melbourne, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Gray, Andrew" sort="Gray, Andrew" uniqKey="Gray A" first="Andrew" last="Gray">Andrew Gray</name>
<affiliation><nlm:aff id="aff004"><institution>Athletic Data Innovations</institution>
,<addr-line>Sydney, Australia</addr-line>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="aff005"><institution>Cronulla Sharks Rugby League Football Club</institution>
,<addr-line>Australia</addr-line>
</nlm:aff>
</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><nlm:aff id="aff006"><institution>Laboratoire Motricité Humaine Education Sport Santé, Université de Nice Sophia Antipolis</institution>
,<addr-line>Nice, France</addr-line>
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<series><title level="j">Journal of Sports Science & Medicine</title>
<idno type="eISSN">1303-2968</idno>
<imprint><date when="2015">2015</date>
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<front><div type="abstract" xml:lang="en"><p>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<sup>-1</sup>
) 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.</p>
<p><boxed-text position="float" orientation="portrait"><caption><title>Key points</title>
</caption>
<list list-type="bullet"><list-item><p>GPS-embedded tri-axial accelerometers may be used to assess contact time and vertical stiffness during ground running.</p>
</list-item>
<list-item><p>These preliminary results open new perspective for the field monitoring of neuromuscular fatigue and performance in run-based sports</p>
</list-item>
</list>
</boxed-text>
</p>
</div>
</front>
</TEI>
<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">J Sports Sci Med</journal-id>
<journal-id journal-id-type="iso-abbrev">J Sports Sci Med</journal-id>
<journal-id journal-id-type="publisher-id">JSSM</journal-id>
<journal-title-group><journal-title>Journal of Sports Science & Medicine</journal-title>
</journal-title-group>
<issn pub-type="epub">1303-2968</issn>
<publisher><publisher-name>Uludag University</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">26664264</article-id>
<article-id pub-id-type="pmc">4657410</article-id>
<article-id pub-id-type="publisher-id">jssm-14-698</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Assessing Stride Variables and Vertical Stiffness with GPS-Embedded Accelerometers: Preliminary Insights for the Monitoring of Neuromuscular Fatigue on the Field</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Buchheit</surname>
<given-names>Martin</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff002"><sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff003"><sup>3</sup>
</xref>
<xref ref-type="corresp" rid="cor1">✉</xref>
<xref ref-type="bio" rid="d35e44">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Gray</surname>
<given-names>Andrew</given-names>
</name>
<xref ref-type="aff" rid="aff004"><sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff005"><sup>5</sup>
</xref>
<xref ref-type="bio" rid="d35e84">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Morin</surname>
<given-names>Jean-Benoit</given-names>
</name>
<xref ref-type="aff" rid="aff006"><sup>6</sup>
</xref>
<xref ref-type="bio" rid="d35e121">*</xref>
</contrib>
</contrib-group>
<aff id="aff001"><label>1</label>
Sport Science Department,<institution>Myorobie Association</institution>
,<addr-line>Montvalezan, France</addr-line>
</aff>
<aff id="aff002"><label>2</label>
Performance Department,<institution>Paris Saint-Germain Football Club</institution>
,<addr-line>Saint-Germain-en-Laye, France</addr-line>
</aff>
<aff id="aff003"><label>3</label>
<institution>Institute of Sport, Exercise and Active Living, College of Sport and Exercise Science, Victoria University</institution>
,<addr-line>Melbourne, Australia</addr-line>
</aff>
<aff id="aff004"><label>4</label>
<institution>Athletic Data Innovations</institution>
,<addr-line>Sydney, Australia</addr-line>
</aff>
<aff id="aff005"><label>5</label>
<institution>Cronulla Sharks Rugby League Football Club</institution>
,<addr-line>Australia</addr-line>
</aff>
<aff id="aff006"><label>6</label>
<institution>Laboratoire Motricité Humaine Education Sport Santé, Université de Nice Sophia Antipolis</institution>
,<addr-line>Nice, France</addr-line>
</aff>
<author-notes><corresp id="cor1"><label>✉</label>
Sport Science Department, Myorobie Association, 73700 Montvalezan, France</corresp>
</author-notes>
<pub-date pub-type="collection"><month>12</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="epub"><day>24</day>
<month>11</month>
<year>2015</year>
</pub-date>
<volume>14</volume>
<issue>4</issue>
<fpage>698</fpage>
<lpage>701</lpage>
<history><date date-type="received"><day>08</day>
<month>4</month>
<year>2015</year>
</date>
<date date-type="accepted"><day>26</day>
<month>7</month>
<year>2015</year>
</date>
</history>
<permissions><copyright-statement>© Journal of Sports Science and Medicine</copyright-statement>
<copyright-year>2015</copyright-year>
</permissions>
<abstract><p>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<sup>-1</sup>
) 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.</p>
<p><boxed-text position="float" orientation="portrait"><caption><title>Key points</title>
</caption>
<list list-type="bullet"><list-item><p>GPS-embedded tri-axial accelerometers may be used to assess contact time and vertical stiffness during ground running.</p>
</list-item>
<list-item><p>These preliminary results open new perspective for the field monitoring of neuromuscular fatigue and performance in run-based sports</p>
</list-item>
</list>
</boxed-text>
</p>
</abstract>
<kwd-group><title>Key words</title>
<kwd>Movement tracking</kwd>
<kwd>fatigue monitoring</kwd>
</kwd-group>
<counts><fig-count count="5"></fig-count>
<table-count count="0"></table-count>
<equation-count count="0"></equation-count>
<ref-count count="12"></ref-count>
<page-count count="4"></page-count>
</counts>
</article-meta>
</front>
</pmc>
</record>
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