Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Prediction of energy expenditure from a tri-axial accelerometer during treadmill walking

트레드밀 보행 시 단일 3축 가속도센서를 사용한 대사에너지 소모량 예측

  • Lee, H.Y. (Dept. of Biomed. Eng., Graduate School, Yonsei Univ.) ;
  • Park, S.W. (Dept. of Biomed. Eng., Graduate School, Yonsei Univ.) ;
  • Kim, S.H. (Dept. of Biomed. Eng., Graduate School, Yonsei Univ.) ;
  • Lee, D.Y. (Dept. of Biomed. Eng., Graduate School, Yonsei Univ.) ;
  • Kim, Y.H. (Dept. of Biomed. Eng., Graduate School, Yonsei Univ.)
  • 이희영 (연세대학교 대학원 의공학과) ;
  • 박선우 (연세대학교 대학원 의공학과) ;
  • 김승현 (연세대학교 대학원 의공학과) ;
  • 이동엽 (연세대학교 대학원 의공학과) ;
  • 김영호 (연세대학교 대학원 의공학과)
  • Received : 2010.10.11
  • Accepted : 2011.03.15
  • Published : 2011.04.30
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Abstract

The purpose of this study was to investigate the relevance of the prediction equations derived from the relationship between metabolic energy expenditure and kinetic energy, for different speeds of walking and running over the treadmill. Seven male subjects participated in this study. A tri-axial accelerometer was attached on between the left and right posterior superior iliac spines. Kinetic energy was calculated by the integration of acceleration data and compared with the metabolic energy measured by a gas analyzer. Correlation coefficients were determined to find a relationship between the kinetic energy and the metabolic energy expenditure. Also, the difference between measured and predicted values was used to find the relevance for individual and group equations. Results showed a relatively good correlation between the measured metabolic energy and the calculated kinetic energy. In addition, a dramatic increase in kinetic energy was observed at the transition speed of walking and running (6 km/h). There was no difference in how to predict the kinetic energy expenditure for individual and group even though people have different physical characteristics. This study would be useful to predict metabolic energy expenditures by the regression analysis with acceleration data.

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References

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