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dc.contributor.authorWixted, Andrewen_US
dc.contributor.authorThiel, Daviden_US
dc.contributor.authorG. Hahn, Allanen_US
dc.contributor.authorJ. Gore, Christopheren_US
dc.contributor.authorB. Pyne, Daviden_US
dc.contributor.authorJames, Danielen_US
dc.contributor.editorTroy Nagleen_US
dc.date.accessioned2017-05-03T11:03:36Z
dc.date.available2017-05-03T11:03:36Z
dc.date.issued2007en_US
dc.date.modified2009-11-30T05:25:44Z
dc.identifier.issn1530437Xen_US
dc.identifier.doi10.1109/JSEN.2007.891947en_AU
dc.identifier.urihttp://hdl.handle.net/10072/16562
dc.description.abstractFitness development and performance assessment of elite athletes requires an understanding of many physiological factors, many of these are direct and indirect measures of athlete energy expenditure. Many methods are physiological factor assessments and require the athlete to be constrained by laboratory equipment or periodic interruption of activity to take measurements such as blood samples are required to be taken. This paper presents a method that is entirely ambulatory and noninvasive, using microelectromechanical systems (MEMS) accelerometers. The commonly used output of commercial accelerometer-based devices (known as "counts") cannot discriminate activity intensity for the activities of interest. This, in conjunction with variability in output from different systems and lack of commonality across manufacturers, limits the usefulness of commercial devices. This paper identifies anthropometric and kinematic sources of inter-athlete variability in accelerometer output, leading to an alternate energy expenditure estimator based mainly on step frequency modified by anthropometric measures. This energy expenditure estimator is more robust and not influenced by many sources of variability that affect the currently used estimator. In this system, low-power signal processing was implemented to extract both the energy estimator and other information of physiological and statistical interest.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent681479 bytes
dc.format.extent42385 bytes
dc.format.extent42385 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placePiscataway, USAen_US
dc.publisher.urihttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom481en_US
dc.relation.ispartofpageto488en_US
dc.relation.ispartofissue4en_US
dc.relation.ispartofjournalIEEE Sensors Journalen_US
dc.relation.ispartofvolume7en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode321402en_US
dc.subject.fieldofresearchcode299904en_US
dc.titleMeasurement of energy expenditure in elite athletes using MEMS-based triaxial accelerometersen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2007
gro.hasfulltextFull Text


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