Re‐examination of accelerometer data processing and calibration for the assessment of physical activity intensity.

This review re‐examines the use of accelerometer and oxygen uptake data for the 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 res...

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Publicado en:Scandinavian Journal of Medicine & Science in Sports (John Wiley & Sons, Inc.) Vol. 29; no. 10; pp. 1442 - 1453
Autores principales: Arvidsson, Daniel, Fridolfsson, Jonatan, Börjesson, Mats, Andersen, Lars Bo, Ekblom, Örjan, Dencker, Magnus, Brønd, Jan Christian
Formato: review tables/charts Journal Article
Publicado: John Wiley & Sons, Inc. Oct2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2019
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      pub: John Wiley & Sons, Inc.
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        atl: Re‐examination of accelerometer data processing and calibration for the assessment of physical activity intensity.
      aug:
        au:
          Arvidsson, Daniel
          Fridolfsson, Jonatan
          Börjesson, Mats
          Andersen, Lars Bo
          Ekblom, Örjan
          Dencker, Magnus
          Brønd, Jan Christian
        affil: Department of Food and Nutrition, and Sport Science, Center for Health and Performance, University of Gothenburg, Gothenburg Sweden
      sug:
        subj:
          Accelerometry
          Physical Activity Evaluation
          Oxygen Consumption
          Walking
          Running
          Acceleration
          Accelerometers
          Exercise Intensity
          Body Height
          Age Factors
      ab: This review re‐examines the use of accelerometer and oxygen uptake data for the 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 provides 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, VO2net (VO2tot − VO2stand). To improve measurement of physical activity intensity using accelerometers, research developments are suggested concerning the processing of accelerometer data, use of energy expenditure as reference for activity intensity, and calibration procedure with absolute versus relative intensity.
      pubtype: Academic Journal
      doctype:
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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