Objective Assessment of Physical Activity at Home Using a Novel Floor-Vibration Monitoring System: Validation and Comparison With Wearable Activity Trackers and Indirect Calorimetry Measurements.

Autor:	Nakajima Y; Department of Human-Environmental Sciences, Ochanomizu University, Bunkyo, Japan., Kitayama A; Department of Human-Environmental Sciences, Ochanomizu University, Bunkyo, Japan., Ohta Y; Department of Human-Environmental Sciences, Ochanomizu University, Bunkyo, Japan., Motooka N; Department of Human-Environmental Sciences, Ochanomizu University, Bunkyo, Japan., Kuno-Mizumura M; Department of Performing Arts, Ochanomizu University, Bunkyo, Japan., Miyachi M; Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan.; National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Settsu, Japan., Tanaka S; National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Settsu, Japan.; Faculty of Nutrition, Kagawa Nutrition University, Sakado, Japan., Ishikawa-Takata K; National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Settsu, Japan.; Faculty of Applied Biosciences, Tokyo University of Agriculture, Setagaya, Japan., Tripette J; Department of Human-Environmental Sciences, Ochanomizu University, Bunkyo, Japan.; National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Settsu, Japan.; Center for Interdisciplinary AI and Data Science, Ochanomizu University, Bunkyo, Japan.
Jazyk:	angličtina
Zdroj:	JMIR formative research [JMIR Form Res] 2024 Apr 25; Vol. 8, pp. e51874. Date of Electronic Publication: 2024 Apr 25.
DOI:	10.2196/51874
Abstrakt:	Background: The self-monitoring of physical activity is an effective strategy for promoting active lifestyles. However, accurately assessing physical activity remains challenging in certain situations. This study evaluates a novel floor-vibration monitoring system to quantify housework-related physical activity. Objective: This study aims to assess the validity of step-count and physical behavior intensity predictions of a novel floor-vibration monitoring system in comparison with the actual number of steps and indirect calorimetry measurements. The accuracy of the predictions is also compared with that of research-grade devices (ActiGraph GT9X). Methods: The Ocha-House, located in Tokyo, serves as an independent experimental facility equipped with high-sensitivity accelerometers installed on the floor to monitor vibrations. Dedicated data processing software was developed to analyze floor-vibration signals and calculate 3 quantitative indices: floor-vibration quantity, step count, and moving distance. In total, 10 participants performed 4 different housework-related activities, wearing ActiGraph GT9X monitors on both the waist and wrist for 6 minutes each. Concurrently, floor-vibration data were collected, and the energy expenditure was measured using the Douglas bag method to determine the actual intensity of activities. Results: Significant correlations (P<.001) were found between the quantity of floor vibrations, the estimated step count, the estimated moving distance, and the actual activity intensities. The step-count parameter extracted from the floor-vibration signal emerged as the most robust predictor (r 2 =0.82; P<.001). Multiple regression models incorporating several floor-vibration-extracted parameters showed a strong association with actual activity intensities (r 2 =0.88; P<.001). Both the step-count and intensity predictions made by the floor-vibration monitoring system exhibited greater accuracy than those of the ActiGraph monitor. Conclusions: Floor-vibration monitoring systems seem able to produce valid quantitative assessments of physical activity for selected housework-related activities. In the future, connected smart home systems that integrate this type of technology could be used to perform continuous and accurate evaluations of physical behaviors throughout the day. (©Yuki Nakajima, Asami Kitayama, Yuji Ohta, Nobuhisa Motooka, Mayumi Kuno-Mizumura, Motohiko Miyachi, Shigeho Tanaka, Kazuko Ishikawa-Takata, Julien Tripette. Originally published in JMIR Formative Research (https://formative.jmir.org), 25.04.2024.)
Databáze:	MEDLINE
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