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

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Title Signal Processing for Estimating Energy Expenditure of Elite Athletes using Triaxial Accelerometers
Author Wixted, Andrew James; James, Daniel Arthur; Thiel, David Victor; Hahn, Allan; Gore, Chris; Pyne, David
Publication Title Proceddings of the IEEE Sensors 2005
Year Published 2005
Place of publication USA
Publisher IEEE
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 and statistical interest
Peer Reviewed No
Published Yes
Publisher URI http://ewh.ieee.org/tc/sensors/sensors2005
Alternative URI http://dx.doi.org/10.1109/ICSENS.2005.1597820
Copyright Statement Copyright 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.
Conference name IEEE Sensors
Location Irvine, USA
Date From 2005-10-31
Date To 2005-11-03
URI http://hdl.handle.net/10072/9694
Date Accessioned 2006-02-28
Date Available 2010-10-13T10:03:28Z
Language en_AU
Research Centre Centre for Wireless Monitoring and Applications
Faculty Faculty of Engineering and Information Technology
Subject PRE2009-Biomedical Engineering
Publication Type Conference Publications (Extract Paper)
Publication Type Code e3

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