Korean Journal of Applied Biomechanics (한국운동역학회지)

Korean Society of Applied Biomechanics (한국운동역학회)
권호 표지
DOI QR코드

DOI QR Code

Estimation of Energy Expenditure of Walking and Running Based on Triaxial Accelerometer and Physical Information

3축 가속도계와 신체정보를 이용한 보행 및 주행시 에너지 소비량의 예측

  • Kang, Dong-Won (Kon-Kuk University, Research Institute of Biomedical Engineering) ;
  • Choi, Jin-Seung (Kon-Kuk University, Research Institute of Biomedical Engineering) ;
  • Mun, Kyung-Ryoul (Kon-Kuk University, Research Institute of Biomedical Engineering) ;
  • Tack, Gye-Rae (Kon-Kuk University, Research Institute of Biomedical Engineering)
  • 강동원 (건국대학교, 의공학실용기술연구소) ;
  • 최진승 (건국대학교, 의공학실용기술연구소) ;
  • 문경률 (건국대학교, 의공학실용기술연구소) ;
  • 탁계래 (건국대학교, 의공학실용기술연구소)
  • Published : 2008.12.30
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study was to estimate the energy expenditure simply and practically during physical activities. The physical activity is quantified by the integration of the accelerometer signals obtained from the triaxial accelerometer attached at the waist level of the human body. To find a relationship between energy expenditure and accelerometer data, 6 male and 5 female subjects walked and ran on the treadmill with speeds of 1.5, 3.0, 4.5, 6.0, 6.5, 7.0, and 8.5 km/hr. Each subject performed walking at the speed lower than 6.0 km/hr and running at the speed higher than 6.5 km/hr. Actual energy expenditure was determined by a continuous direct gas analyzer. Two predictive equations of walking and running mode for energy expenditure which includes gender, body mass index(BMI) and data from accelerometer were developed using multiple regression analysis. The correlation coefficients and coefficients of determination between the estimated and measured energy expenditure were R=0.936, R2=0.876 and R=0.881, R2=0.776 in walking and running mode, respectively. For further study, experiments on a larger scale of test subjects are essential for acquiring more reliable results.

본 연구의 목적은 신체활동 시에 간단하고 실용적인 방법으로 에너지 소비를 예측하는데 있다. 신체활동은 허리에 부착된 3축 가속도계 센서를 사용하여 가속도의 함으로써 정량화하였다. 에너지 소비량과 가속도계 데이터의 관계를 찾기 위하여 11명(남성 6명, 여성 5명)의 피험자를 상대로 1.5, 3.0, 4.5, 6.0, 6.5, 7.0, 8.5km/hr의 속도로 트레드밀에서 걷거나 달리는 동작을 시행하였다. 각 피험자는 트레드밀 속도가 6.0km/hr 일 경우에는 걷는 동작을 6.5km/hr 이상일 경우께는 달리는 동작을 수행하였다. 실제 에너지 소비량은 가스분석기를 통하여 측정되었다. 예측 식은 피험자의 성, BMI(Body Mass Index), 가속도 데이터로 이루어졌으며 걷기, 달리기로 총 2개의 다중회귀식으로 구현되었다. 실제 측정된 에너지 소비량과 예측된 에너지 소비량 간의 상관계수와 결정계수는 걷기와 달리기에서 각각 R=0.956, R2=0.876와 R=0.881, R2=0.776를 나타내었다. 추후의 연구에서는 보다 많은 피험자의 데이터를 이용하여 보다 신뢰성 있는 에너지 소비량 예측의 회귀식을 구현하고자 한다.

Keywords

References

  1. 박재영, 박성태, 전태원, 엄우섭, 이동기, 박익렬, 강현주(2004). 운동시 심박수를 이용한 대학생의 에너지 소비량 추정. 한국운동과학회지 13(3), 311-322.
  2. Chen, K. Y. & Sun, M. (1997). Improving energy expenditure estimation by using a triaxial accelerometer. Journal of applied physiology, 83(6), 2112-2122.
  3. Christensen, C. C., Frey, H. M. M., Foenstelien, E., Aadaland, E., & Refsum, H. E. (1983). A critical evaluation of energy expenditure estimates based on individual O2 consumption/ heart rate curves and average daily heart rate. Am. J. Clin. Nutr., 37, 468-472.
  4. Davidson, L., McNeill, G., Haggarty, P., Smith, J. S. & Franklin, M. F. (1997). Free-living energy expenditure of adult men assessed by continuous heart-rate monitoring and doubly-labelled water. British Journal of Nutrition, 78, 695-708. https://doi.org/10.1079/BJN19970188
  5. King, G. A., Torres, N., Potter, C., Brooks, T. J. & Coleman, K. J. (2004). Comparison of Activity Monitors to Estimate Energy Cost of Treadmill Exercise. Med. Sci. Sports Exerc., 36(7), 1244-1251. https://doi.org/10.1249/01.MSS.0000132379.09364.F8
  6. Liao, L. T., Shiang, T. Y. & Chang, J. H. (2008). Acceleration on different body positions during running on a treadmill. ISBS Conference 2008, 94-97.
  7. Livingstone, M. B. E., Robson, P. J. & Totton, M. (2000). Energy expenditure by heart rate in children: an evaluation of calibration techniques. Med. Sci. Sports Exerc., 32(8), 1513-1519. https://doi.org/10.1097/00005768-200008000-00022
  8. Meijer, G. A. L., Westerterp, K .R., Verhoeven, F. M. H. Koper, H. B. M. & Hoor, F. T. (1991). Methods to assess physical activity with special reference to motion sensors and accelerometers. Biomedical Engineering, IEEE Transactions on, 38(3), 221-229. https://doi.org/10.1109/10.133202
  9. Meijer, E. P., Westerterp, K. R. & Verstappen, F. T. J. (1999). Effect of exercise training on total daily physical activity in elderly humans. European journal of applied physiology and occupational physiology, 80(11), 16-21. https://doi.org/10.1007/s004210050552
  10. Moon, J. K. & Butte, N. F. (1996). Combined heart rate and activity improve estimates of oxygen consumption and carbon dioxide production rates. J. Appl. Physiol., 81(4), 1754-1761.
  11. Motonaga, K., Yoshida, S., Yarnagarni, F., Kawano, T. & Takeda, E. (2006). Estimation of total daily energy expenditure and its components by monitoring the heart rate of japanese endurance athletes. J. Nutr. Sci. Vitaminol, 52, 360-367. https://doi.org/10.3177/jnsv.52.360
  12. Sallis, J. F., Buono, M. J., Roby, J. J., Carlson, D. & Nelson, J. A. (1990). The Caltrac accelerometer as a physical activity monitor for school-aged children. Med. Sci. Sports Exerc., 22(5), 698-703. https://doi.org/10.1249/00005768-199010000-00023
  13. Su, S. W., Wang, L., Celler, B. G., Ambikairajah, E. & Savkin, A. V. (2005). Estimation of walking Energy expenditure by using support vector regression. Engineering in Medicine and Biology Society, 2005. IEEE-EMBS, 3526-3529.
  14. Wang, L., Su, S. W., Celler, B. G. & Ambikairajah, E. (2005). Analysis of Orientation Error of Triaxial Accelerometers on the Assessment of Energy Expenditure. Conf Froc. IEEE Eng. Med. Biol. Soc., 4(1), 3514-3517.
  15. Welk, G. J., McClain, J. J., Eisenmann, J. C. & Wickel, E. E. (2007). Field validation of the MTI Actigraph and Body-Media armband monitor using the IDEEA monitor. Obesity, 15(4), 918-928. https://doi.org/10.1038/oby.2007.624

Cited by

  1. Measurement of Energy Expenditure Through Treadmill-based Walking and Self-selected Hallway Walking of College Students - Using Indirect Calorimeter and Accelerometer vol.21, pp.6, 2016, https://doi.org/10.5720/kjcn.2016.21.6.520
  2. Prediction of Energy Expenditure by Using a Tri-axial Accelerometer vol.21, pp.2, 2011, https://doi.org/10.5103/KJSB.2011.21.2.253