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Re-examination of accelerometer data processing and calibration for the assessment of physical activity intensity.
University of Gothenburg.
University of Gothenburg.
University of Gothenburg.
Western Norway University of Applied Sciences, Campus Sogndal, Norway..
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2019 (English)In: Scandinavian Journal of Medicine and Science in Sports, ISSN 0905-7188, E-ISSN 1600-0838, Vol. 29, no 10, p. 1442-1452Article in journal (Refereed) Published
Abstract [en]

This review reexamines use of accelerometer and oxygen uptake data for assessment of activity intensity. Accelerometers capture mechanical work, while oxygen uptake captures the energy cost of this work. Frequency filtering needs to be considered when processing acceleration data. A too restrictive filter attenuates the acceleration signal for walking and, to a higher degree, for running. This measurement error affects shorter (children) more than taller (adults) individuals due to their higher movement frequency. Less restrictive filtering includes more movement related signals and provide measures that better capture mechanical work, but may include more noise. An optimal filter cut-point is determined where most relevant acceleration signals are included. Further, accelerometer placement affects what part of mechanical work being captured. While the waist placement captures total mechanical work and therefore contributes to measures of activity intensity equivalent by age and stature, the thigh and wrist placements capture more internal work and do not provide equivalent measures. Value calibration of accelerometer measures is usually performed using measured oxygen uptake with the metabolic equivalent of task (MET) as reference measure of activity intensity. However, the use of MET is not stringent and is not a measure of activity intensity equivalent by age and stature. A candidate measure is the mass-specific net oxygen uptake, VO2 net (VO2 tot - VO2 stand). To improve measurement of physical activity intensity using accelerometers, research developments are suggested concerning processing of accelerometer data, use of energy expenditure as reference for activity intensity, and calibration procedure with absolute versus relative intensity. This article is protected by copyright. All rights reserved.

Place, publisher, year, edition, pages
John Wiley & Sons, 2019. Vol. 29, no 10, p. 1442-1452
Keywords [en]
Acceleration, counts, energy expenditure, frequency filtering, mechanical work
National Category
Medical Laboratory and Measurements Technologies Sport and Fitness Sciences
Research subject
Medicine/Technology
Identifiers
URN: urn:nbn:se:gih:diva-5746DOI: 10.1111/sms.13470ISI: 000488616400001PubMedID: 31102474OAI: oai:DiVA.org:gih-5746DiVA, id: diva2:1316601
Available from: 2019-05-20 Created: 2019-05-20 Last updated: 2019-10-29Bibliographically approved

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Ekblom, Örjan

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Åstrand Laboratory of Work Physiology
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