BACKGROUND: A novel actigraphy method, the proportional integral mode, was used for monitoring metabolic rate and energy expenditure during different levels of exercise intensity. MATERIAL/ METHODS: 13 young (24+/-3 yrs) male subjects, clothed in T-shirts, shorts and athletic shoes, ran/walked for 30 min on a level treadmill at different speeds (3, 5, 2, 6, 4, and 7 mph), 5 min at each speed. The following variables were continuously measured: Actigraphy (PCD, USA) data at three different modes (proportional integral mode, zero crossing, and time above threshold) from the wrist; oxygen consumption (Sensor Medics, USA), and heart rate (Polar, Finland). RESULTS: Analysis of the measured data revealed with low correlation between oxygen consumption and zero crossing or time above threshold (R=0.364 and 0.384, respectively), but with high correlation between oxygen consumption and proportional integral mode (R=0.843). CONCLUSIONS: The proportional integral mode, which is unlike the other modes, followed the oxygen consumption and the heart rate curves, showing a potential unique method to predict oxygen consumption and energy expenditure.
BACKGROUND: A novel actigraphy method, the proportional integral mode, was used for monitoring metabolic rate and energy expenditure during different levels of exercise intensity. MATERIAL/ METHODS: 13 young (24+/-3 yrs) male subjects, clothed in T-shirts, shorts and athletic shoes, ran/walked for 30 min on a level treadmill at different speeds (3, 5, 2, 6, 4, and 7 mph), 5 min at each speed. The following variables were continuously measured: Actigraphy (PCD, USA) data at three different modes (proportional integral mode, zero crossing, and time above threshold) from the wrist; oxygen consumption (Sensor Medics, USA), and heart rate (Polar, Finland). RESULTS: Analysis of the measured data revealed with low correlation between oxygen consumption and zero crossing or time above threshold (R=0.364 and 0.384, respectively), but with high correlation between oxygen consumption and proportional integral mode (R=0.843). CONCLUSIONS: The proportional integral mode, which is unlike the other modes, followed the oxygen consumption and the heart rate curves, showing a potential unique method to predict oxygen consumption and energy expenditure.