Influence of Accelerometer Placement and/or Heart Rate on Energy Expenditure Prediction during Uphill Exercise |
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| Authors: | Terry B J Kuo Jia-Yi Li Chung-Yu Chen Yu-Cheng Lin Mei-Wun Tsai Shun-Ping Lin |
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| Institution: | 1. Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan;2. Sleep Research Center, National Yang-Ming University, Taipei, Taiwan;3. Department of Education and Research, Taipei City Hospital, Taiwan;4. Brain Research Center, National Yang-Ming University, Taipei, Taiwan;5. Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan;6. Institute of Translational and Interdisciplinary Medicine, National Central University, Taoyuan, Taiwan;7. Department of Health and Leisure Management, Yuanpei University of Medical Technology, Hsinchu, Taiwan;8. Sleep Research Center, National Yang-Ming University, Taipei, Taiwan;9. Department of Physical Therapy and Assistive Technology, National Yang-Ming University, Taipei, Taiwan;10. Physical Education Office, China University of Science and Technology, Taipei, Taiwan |
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| Abstract: | Studies using a triaxial accelerometer and heart rate (HR) simultaneously for estimating energy expenditure (EE) during uphill exercise are rare. Exploring the optimal location for placing the accelerometer for predicting EE during uphill exercise is essential. Sixteen healthy male participants (M ± SEM; age 25.00 ± 0.61 years; body weight 74.13 ± 2.51 kg; body height 1.74 ± 0.01 m; body mass index 24.30 ± 0.63 kg/m2) exercised on a treadmill under 12 conditions (4 speeds and 3 gradients) on 3 days. Triaxial accelerometers, an HR recorder, and a metabolic measurement system were simultaneously used. Accelerometer outputs from various anatomical locations (upper arm, chest, lower back, waist, thigh, and instep) showed significant positive correlations with EE (0.819, 0.846, 0.816, 0.820, 0.672, and 0.669, respectively; p < .05). The linear regression equation for changes in HR showed the highest coefficient of determination (r2) of .837 with 87.9% reliability. When the HR signal was included, the r2 value (> .842) and reliability (87.9%) between the accelerometer outputs and EE improved. Accelerometer outputs from the waist position alone provide highly accurate EE values. Using both accelerometer outputs and HR for EE estimation during uphill exercise is feasible and improves the accuracy of EE prediction. |
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| Keywords: | energy expenditure heart rate triaxial accelerometer uphill exercise |
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