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  • Signal Processing for Estimating Energy Expenditure of Elite Athletes using Triaxial Accelerometers

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    30951.pdf (289.0Kb)
    Author(s)
    Wixted, A
    Thiel, D
    James, D
    Hahn, A
    Gore, C
    Pyne, D
    Griffith University Author(s)
    Thiel, David V.
    James, Daniel A.
    Wixted, Andrew J.
    Pyne, David B.
    Year published
    2005
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    Abstract
    Fitness development of elite athletes requires an understanding of physiological factors such as athlete energy expenditure (EE). For athletes involved in football at the elite level, it is necessary to understand the energy demands during competition to develop training regimes. By identifying an appropriate EE estimator in triaxial accelerometer data, in conjunction with identifying sources of inter-athlete variance in that estimator, signal processing was developed to extract the estimator. In this system, low-power signal processing was implemented to extract both the EE estimator and other information of physiological ...
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    Fitness development of elite athletes requires an understanding of physiological factors such as athlete energy expenditure (EE). For athletes involved in football at the elite level, it is necessary to understand the energy demands during competition to develop training regimes. By identifying an appropriate EE estimator in triaxial accelerometer data, in conjunction with identifying sources of inter-athlete variance in that estimator, signal processing was developed to extract the estimator. In this system, low-power signal processing was implemented to extract both the EE estimator and other information of physiological and statistical interest
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    Conference Title
    2005 IEEE SENSORS, VOLS 1 AND 2
    Volume
    2005
    Publisher URI
    http://ewh.ieee.org/tc/sensors/sensors2005
    DOI
    https://doi.org/10.1109/ICSENS.2005.1597820
    Copyright Statement
    © 2005 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.
    Publication URI
    http://hdl.handle.net/10072/9694
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    • Conference outputs

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