[Updated on Apr. 18] Integration of CiNii Articles into CiNii Research

Assessing energy expenditure dynamics by the transfer function method using a triaxial accelerometer

DOI
  • NOMIZO KAZUYA
    Department of Biosystems Engineering, Graduate School of Science and Engineering, Yamagata University
  • Ukawa Narumi
    Department of Biosystems Engineering, Graduate School of Science and Engineering, Yamagata University
  • Saitoh Tadashi
    Department of Biosystems Engineering, Graduate School of Science and Engineering, Yamagata University
  • Niizeki Kyuichi
    Department of Biosystems Engineering, Graduate School of Science and Engineering, Yamagata University

Bibliographic Information

Other Title
  • 伝達関数による三次元加速度計からのエネルギー代謝動態の推定：加速度計装着部位の比較

Abstract

<p>The benefits of engaging in regular physical activity are apparent in the prevention of several life style related diseases. For providing effective intervention and health management programs, accurate assessment of energy expenditure (EE) is of importance. In this study, we explored how accurately EE can be predicted using transfer function (TF) between EE measured by indirect calorimetry and raw vector magnitude of accelerometer (Acc), with placing Acc either on chest or instep. TF was determined by applying ARX model to the data obtained during pseudorandom binary sequence treadmill exercise. Then, EE was predicted by convolving the determined TF with vector magnitude of Acc during multistage treadmill exercise tests. The instep Acc registered greater acceleration peak and variations compared to the chest Acc. The chest Acc provided higher accuracy for EE prediction than instep Acc, possibly due to a stable change in vector magnitude in response to treadmill speed changes. </p>

Journal

Details

  • CRID
    1390845713000419968
  • NII Article ID
    130007483911
  • DOI
    10.11239/jsmbe.annual56.s357
  • ISSN
    18814379
    1347443X
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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