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Estimation of activity energy expenditure based on activity classification using multi-site triaxial accelerometry

Estimation of activity energy expenditure based on activity classification using multi-site triaxial accelerometry

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A wireless networked multi-site triaxial accelerometry system has been devised to estimate activity energy expenditure during daily life. A notable feature of the devised system is the utilisation of activity classification based on multi-site acceleration signals. During performance evaluation tests on a single subject, the proposed method showed higher correlation (adjusted R2=0.952) and smaller estimation deviation (0.76 kcal/min) than two methods without activity classification (multi-site case: adjusted R2=0.924, estimation deviation=0.892 kcal/min and single-site case: adjusted R2=0.855, estimation deviation=1.18 kcal/min).

References

    1. 1)
      • S.G. Trost , K.L. McIver , R.R. Pate . Conducting accelerometer-based activity assessments in field-based research. Med. Sci. Sports Exer. , S531 - S543
    2. 2)
      • K.Y. Chen , M. Sun . Improving energy expenditure estimation by using a triaxial accelerometer. J. Appl. Physiol. , 2112 - 2122
    3. 3)
      • S.E. Crouter , K.G. Clowers , D.R. Bassett . A novel method for using accelerometer data to predict energy expenditure. J. Appl. Physiol. , 1324 - 1331
    4. 4)
      • A.M. Swartz , S.J. Strath , D.R. Bassett , W.L. O'Brien , G.A. King , B.E. Ainsworth . Estimation of energy expenditure using CSA accelerometers at hip and wrist sites. Med. Sci. Sports Exer. , S450 - S456
    5. 5)
      • R.C. Foster , L.M. Lanningham-Foster , C. Manohar , S.K. McCrady , L.J. Nysse , K.R. Kaufman , D.J. Padgett , J.A. Levine . Precision and accuracy of an ankle-worn accelerometer-based pedometer in step counting and energy expenditure. Prev. Med. , 778 - 783
    6. 6)
    7. 7)
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