A new method to calculate external mechanical work using force-platform data in ecological situations in humans: Application to Parkinson's disease
Identifieur interne : 000040 ( Hal/Checkpoint ); précédent : 000039; suivant : 000041A new method to calculate external mechanical work using force-platform data in ecological situations in humans: Application to Parkinson's disease
Auteurs : Vincent Gigot [France] ; Virginie Van Wymelbeke [France] ; Davy Laroche [France] ; Thomas Mouillot [France] ; Agnès Jacquin-Piques [France] ; Matthieu Rossé [France] ; Michel Tavan [France] ; Laurent Brondel [France]Source :
- Gait and Posture [ 0966-6362 ] ; 2016-07-01.
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Abstract
BACKGROUND AND AIM:To accurately quantify the cost of physical activity and to evaluate the different components of energy expenditure in humans, it is necessary to evaluate external mechanical work (WEXT). Large platform systems surpass other currently used techniques. Here, we describe a calculation method for force-platforms to calculate long-term WEXT.METHODS:Each force-platform (2.46×1.60m and 3.80×2.48m) rests on 4 piezoelectric sensors. During long periods of recording, a drift in the speed of displacement of the center of mass (necessary to calculate WEXT) is generated. To suppress this drift, wavelet decomposition is used to low-pass filter the source signal. By using wavelet decomposition coefficients, the source signal can be recovered. To check the validity of WEXT calculations after signal processing, an oscillating pendulum system was first used; then, 10 healthy subjects performed a standardized exercise (squatting exercise). A medical application is also reported in eight Parkinsonian patients during the timed "get-up and go" test and compared with the same test in ten healthy subjects.RESULTS:Values of WEXT with the oscillating pendulum showed that the system was accurate and reliable. During the squatting exercise, the average measured WEXT was 0.4% lower than theoretical work. WEXT and mechanical work efficiency during the "get-up and go" test in Parkinson's disease patients in comparison with that of healthy subjects were very coherent.CONCLUSIONS:This method has numerous applications for studying physical activity and mechanical work efficiency in physiological and pathological conditions.
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DOI: 10.1016/j.gaitpost.2016.04.013
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Bât. CSG - 9E Bd Jeanne d'Arc - 21000 Dijon</addrLine><country key="FR"></country></address><ref type="url">http://www2.dijon.inra.fr/csga/</ref></desc><listRelation><relation active="#struct-415469" type="direct"></relation><relation name="UMR6265" active="#struct-441569" type="direct"></relation><relation name="UMR1324" active="#struct-92114" type="direct"></relation><relation active="#struct-300270" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-415469" type="direct"><org type="institution" xml:id="struct-415469" status="VALID"><orgName>Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement</orgName><orgName type="acronym">AgroSup Dijon</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.agrosupdijon.fr/</ref></desc></org></tutelle><tutelle name="UMR6265" active="#struct-441569" type="direct"><org type="institution" xml:id="struct-441569" status="VALID"> <idno type="IdRef">02636817X</idno> <idno type="ISNI">0000000122597504</idno> <orgName>Centre National de la Recherche Scientifique</orgName> <orgName type="acronym">CNRS</orgName> <date type="start">1939-10-19</date> <desc> <address> <country key="FR"></country> </address> <ref type="url">http://www.cnrs.fr/</ref> </desc></org></tutelle><tutelle name="UMR1324" active="#struct-92114" type="direct"><org type="institution" xml:id="struct-92114" status="VALID"> <orgName>Institut National de la Recherche Agronomique</orgName> <orgName type="acronym">INRA</orgName> <desc> <address> <country key="FR"></country> </address> <ref type="url">http://www.inra.fr</ref> </desc></org></tutelle><tutelle active="#struct-300270" type="direct"><org type="institution" xml:id="struct-300270" status="VALID"> <orgName>Université de Bourgogne</orgName> <orgName type="acronym">UB</orgName> <desc> <address> <addrLine>Maison de l'université - Esplanade Érasme - BP 27877 - 21078 Dijon cedex</addrLine> <country key="FR"></country> </address> <ref type="url">http://www.u-bourgogne.fr/</ref> </desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Dijon</settlement><region type="region" nuts="2">Région Bourgogne</region></placeName><orgName type="university">Université de Bourgogne</orgName><orgName type="institution" wicri:auto="newGroup">Université de Bourgogne Franche-Comté</orgName></affiliation></author><author><name sortKey="Brondel, Laurent" sort="Brondel, Laurent" uniqKey="Brondel L" first="Laurent" last="Brondel">Laurent Brondel</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-111363" status="VALID"> <orgName>Service d'Hépato-Gastro-Entérologie (CHU de Dijon)</orgName> <desc> <address> <addrLine>CHU Dijon - 14 rue Paul Gaffarel - 21079 Dijon</addrLine> <country key="FR"></country> </address> <ref type="url">http://www.chu-dijon.fr/fr/service/hepato-gastro-enterologie</ref> </desc> <listRelation> <relation active="#struct-300924" type="direct"></relation> </listRelation><tutelles><tutelle active="#struct-300924" type="direct"><org type="institution" xml:id="struct-300924" status="VALID"> <orgName>Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand</orgName> <orgName type="acronym">CHU Dijon</orgName> <desc> <address> <addrLine>CHU Dijon - 14 rue Paul Gaffarel - 21079 Dijon</addrLine> <country key="FR"></country> </address> <ref type="url">http://www.chu-dijon.fr/fr</ref> </desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author></analytic><idno type="DOI">10.1016/j.gaitpost.2016.04.013</idno><series><title level="j">Gait and Posture</title><idno type="ISSN">0966-6362</idno><imprint><date type="datePub">2016-07-01</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term> External mechanical work</term><term> Human physical activity</term><term> Parkinson's disease</term><term> Work efficiency</term><term>Energy expenditure</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">BACKGROUND AND AIM:To accurately quantify the cost of physical activity and to evaluate the different components of energy expenditure in humans, it is necessary to evaluate external mechanical work (WEXT). Large platform systems surpass other currently used techniques. Here, we describe a calculation method for force-platforms to calculate long-term WEXT.METHODS:Each force-platform (2.46×1.60m and 3.80×2.48m) rests on 4 piezoelectric sensors. During long periods of recording, a drift in the speed of displacement of the center of mass (necessary to calculate WEXT) is generated. To suppress this drift, wavelet decomposition is used to low-pass filter the source signal. By using wavelet decomposition coefficients, the source signal can be recovered. To check the validity of WEXT calculations after signal processing, an oscillating pendulum system was first used; then, 10 healthy subjects performed a standardized exercise (squatting exercise). A medical application is also reported in eight Parkinsonian patients during the timed "get-up and go" test and compared with the same test in ten healthy subjects.RESULTS:Values of WEXT with the oscillating pendulum showed that the system was accurate and reliable. During the squatting exercise, the average measured WEXT was 0.4% lower than theoretical work. WEXT and mechanical work efficiency during the "get-up and go" test in Parkinson's disease patients in comparison with that of healthy subjects were very coherent.CONCLUSIONS:This method has numerous applications for studying physical activity and mechanical work efficiency in physiological and pathological conditions.</div></front></TEI><hal api="V3"> <titleStmt> <title xml:lang="en">A new method to calculate external mechanical work using force-platform data in ecological situations in humans: Application to Parkinson's disease</title> <author role="aut"> <persName> <forename type="first">Vincent</forename> <surname>Gigot</surname> </persName> <email type="md5">ccb1416b0d5284a8ea154a8df929bbad</email> <email type="domain">u-bourgogne.fr</email> <idno type="halauthorid">1251913</idno> <affiliation ref="#struct-106335"></affiliation> </author> <author role="aut"> <persName> <forename type="first">Virginie</forename> <surname>Van Wymelbeke</surname> </persName> <email type="md5">5eb6d54252e2788d54d13ebf4cc07d23</email> <email type="domain">u-bourgogne.fr</email> <idno type="halauthorid">1403891</idno> <affiliation ref="#struct-438815"></affiliation> </author> <author role="aut"> <persName> <forename type="first">Davy</forename> <surname>Laroche</surname> </persName> <email type="md5">6d9c1019e817eecb09fadc2ec572fdef</email> <email type="domain">u-bourgogne.fr</email> <idno type="halauthorid">1402417</idno> <affiliation ref="#struct-178678"></affiliation> <affiliation ref="#struct-455247"></affiliation> </author> <author role="aut"> <persName> <forename type="first">Thomas</forename> <surname>Mouillot</surname> </persName> <email type="md5">f27f44e545f3d52a5affaa2cdc45ccb4</email> <email type="domain">dijon.inra.fr</email> <idno type="halauthorid">1265852</idno> <affiliation ref="#struct-106335"></affiliation> </author> <author role="aut"> <persName> <forename type="first">Agnès</forename> <surname>Jacquin-Piques</surname> </persName> <email type="md5">2e65f64b27def1c275059ecabac5a928</email> <email type="domain">chu-dijon.fr</email> <idno type="halauthorid">1403892</idno> <affiliation ref="#struct-106335"></affiliation> <affiliation ref="#struct-469799"></affiliation> </author> <author role="aut"> <persName> <forename type="first">Matthieu</forename> <surname>Rossé</surname> </persName> <email type="md5">7b4f91ea4e2a6115dc83550c5d6f9a6c</email> <email type="domain">u-bourgogne.fr</email> <idno type="halauthorid">1403893</idno> <affiliation ref="#struct-22594"></affiliation> </author> <author role="aut"> <persName> <forename type="first">Michel</forename> <surname>Tavan</surname> </persName> <email type="md5">95c272a3c2aca0b03a15a669456874e2</email> <email type="domain">u-bourgogne.fr</email> <idno type="halauthorid">1403894</idno> <affiliation ref="#struct-106335"></affiliation> </author> <author role="crp"> <persName> <forename type="first">Laurent</forename> <surname>Brondel</surname> </persName> <email type="md5">c0574b6e1b864e97c1bd620548ef54fc</email> <email type="domain">u-bourgogne.fr</email> <idno type="halauthorid">751602</idno> <affiliation ref="#struct-111363"></affiliation> <affiliation ref="#struct-106335"></affiliation> </author> <editor role="depositor"> <persName> <forename>CAPS -</forename> <surname>université de Bourgogne</surname> </persName> <email type="md5">99d57b4c2f5ac38a60f66dffea8e8ebd</email> <email type="domain">u-bourgogne.fr</email> </editor> </titleStmt> <editionStmt> <edition n="v1" type="current"> <date type="whenSubmitted">2016-10-24 19:43:55</date> <date type="whenModified">2016-11-02 10:29:13</date> <date type="whenReleased">2016-10-24 19:43:55</date> <date type="whenProduced">2016-07-01</date> </edition> <respStmt> <resp>contributor</resp> <name key="335511"> <persName> <forename>CAPS -</forename> <surname>université de Bourgogne</surname> </persName> <email type="md5">99d57b4c2f5ac38a60f66dffea8e8ebd</email> <email type="domain">u-bourgogne.fr</email> </name> </respStmt> </editionStmt> <publicationStmt> <distributor>CCSD</distributor> <idno type="halId">hal-01386926</idno> <idno type="halUri">https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01386926</idno> <idno type="halBibtex">gigot:hal-01386926</idno> <idno type="halRefHtml">Gait and Posture, Elsevier, 2016, 48, pp.202 - 208. <http://www.sciencedirect.com/science/article/pii/S0966636216300285>. <10.1016/j.gaitpost.2016.04.013></idno> <idno type="halRef">Gait and Posture, Elsevier, 2016, 48, pp.202 - 208. <http://www.sciencedirect.com/science/article/pii/S0966636216300285>. <10.1016/j.gaitpost.2016.04.013></idno> </publicationStmt> <seriesStmt> <idno type="stamp" n="UNIV-BOURGOGNE">Université de Bourgogne</idno> <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno> <idno type="stamp" n="ENSAM">Ecole Nationale Supérieure d'Arts et Métiers</idno> <idno type="stamp" n="INRA">INRA - Institut national de la recherche agronomique</idno> <idno type="stamp" n="LE2I" p="UNIV-BOURGOGNE">Laboratoire Electronique, Informatique et Image</idno> <idno type="stamp" n="U1093" p="UNIV-BOURGOGNE">Cognition, Action et Plasticité Sensorimotrice</idno> <idno type="stamp" n="CSGA" p="UNIV-BOURGOGNE">Centre des Sciences du Goût et de l'Alimentation</idno> </seriesStmt> <notesStmt> <note type="audience" n="2">International</note> <note type="popular" n="0">No</note> <note type="peer" n="1">Yes</note> </notesStmt> <sourceDesc> <biblStruct> <analytic> <title xml:lang="en">A new method to calculate external mechanical work using force-platform data in ecological situations in humans: Application to Parkinson's disease</title> <author role="aut"> <persName> <forename type="first">Vincent</forename> <surname>Gigot</surname> </persName> <email type="md5">ccb1416b0d5284a8ea154a8df929bbad</email> <email type="domain">u-bourgogne.fr</email> <idno type="halauthorid">1251913</idno> <affiliation ref="#struct-106335"></affiliation> </author> <author role="aut"> <persName> <forename type="first">Virginie</forename> <surname>Van Wymelbeke</surname> </persName> <email type="md5">5eb6d54252e2788d54d13ebf4cc07d23</email> <email type="domain">u-bourgogne.fr</email> <idno type="halauthorid">1403891</idno> <affiliation ref="#struct-438815"></affiliation> </author> <author role="aut"> <persName> <forename type="first">Davy</forename> <surname>Laroche</surname> </persName> <email type="md5">6d9c1019e817eecb09fadc2ec572fdef</email> <email type="domain">u-bourgogne.fr</email> <idno type="halauthorid">1402417</idno> <affiliation ref="#struct-178678"></affiliation> <affiliation ref="#struct-455247"></affiliation> </author> <author role="aut"> <persName> <forename type="first">Thomas</forename> <surname>Mouillot</surname> </persName> <email type="md5">f27f44e545f3d52a5affaa2cdc45ccb4</email> <email type="domain">dijon.inra.fr</email> <idno type="halauthorid">1265852</idno> <affiliation ref="#struct-106335"></affiliation> </author> <author role="aut"> <persName> <forename type="first">Agnès</forename> <surname>Jacquin-Piques</surname> </persName> <email type="md5">2e65f64b27def1c275059ecabac5a928</email> <email type="domain">chu-dijon.fr</email> <idno type="halauthorid">1403892</idno> <affiliation ref="#struct-106335"></affiliation> <affiliation ref="#struct-469799"></affiliation> </author> <author role="aut"> <persName> <forename type="first">Matthieu</forename> <surname>Rossé</surname> </persName> <email type="md5">7b4f91ea4e2a6115dc83550c5d6f9a6c</email> <email type="domain">u-bourgogne.fr</email> <idno type="halauthorid">1403893</idno> <affiliation ref="#struct-22594"></affiliation> </author> <author role="aut"> <persName> <forename type="first">Michel</forename> <surname>Tavan</surname> </persName> <email type="md5">95c272a3c2aca0b03a15a669456874e2</email> <email type="domain">u-bourgogne.fr</email> <idno type="halauthorid">1403894</idno> <affiliation ref="#struct-106335"></affiliation> </author> <author role="crp"> <persName> <forename type="first">Laurent</forename> <surname>Brondel</surname> </persName> <email type="md5">c0574b6e1b864e97c1bd620548ef54fc</email> <email type="domain">u-bourgogne.fr</email> <idno type="halauthorid">751602</idno> <affiliation ref="#struct-111363"></affiliation> <affiliation ref="#struct-106335"></affiliation> </author> </analytic> <monogr> <idno type="halJournalId" status="VALID">13554</idno> <idno type="issn">0966-6362</idno> <title level="j">Gait and Posture</title> <imprint> <publisher>Elsevier</publisher> <biblScope unit="volume">48</biblScope> <biblScope unit="pp">202 - 208</biblScope> <date type="datePub">2016-07-01</date> </imprint> </monogr> <idno type="doi">10.1016/j.gaitpost.2016.04.013</idno> <ref type="publisher">http://www.sciencedirect.com/science/article/pii/S0966636216300285</ref> </biblStruct> </sourceDesc> <profileDesc> <langUsage> <language ident="en">English</language> </langUsage> <textClass> <keywords scheme="author"> <term xml:lang="en"> Human physical activity</term> <term xml:lang="en"> Parkinson's disease</term> <term xml:lang="en"> Work efficiency</term> <term xml:lang="en">Energy expenditure</term> <term xml:lang="en"> External mechanical work</term> </keywords> <classCode scheme="halDomain" n="scco.neur">Cognitive science/Neuroscience</classCode> <classCode scheme="halDomain" n="sdv.mhep.phy">Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]</classCode> <classCode scheme="halTypology" n="ART">Journal articles</classCode> </textClass> <abstract xml:lang="en">BACKGROUND AND AIM:To accurately quantify the cost of physical activity and to evaluate the different components of energy expenditure in humans, it is necessary to evaluate external mechanical work (WEXT). Large platform systems surpass other currently used techniques. Here, we describe a calculation method for force-platforms to calculate long-term WEXT.METHODS:Each force-platform (2.46×1.60m and 3.80×2.48m) rests on 4 piezoelectric sensors. During long periods of recording, a drift in the speed of displacement of the center of mass (necessary to calculate WEXT) is generated. To suppress this drift, wavelet decomposition is used to low-pass filter the source signal. By using wavelet decomposition coefficients, the source signal can be recovered. To check the validity of WEXT calculations after signal processing, an oscillating pendulum system was first used; then, 10 healthy subjects performed a standardized exercise (squatting exercise). A medical application is also reported in eight Parkinsonian patients during the timed "get-up and go" test and compared with the same test in ten healthy subjects.RESULTS:Values of WEXT with the oscillating pendulum showed that the system was accurate and reliable. During the squatting exercise, the average measured WEXT was 0.4% lower than theoretical work. WEXT and mechanical work efficiency during the "get-up and go" test in Parkinson's disease patients in comparison with that of healthy subjects were very coherent.CONCLUSIONS:This method has numerous applications for studying physical activity and mechanical work efficiency in physiological and pathological conditions.</abstract> </profileDesc> </hal></record>Pour manipuler ce document sous Unix (Dilib)
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