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Validity of trunk acceleration measurement with a chest-worn monitor for assessment of physical activity intensity

BACKGROUND: Recent advancements in wearable technology have enabled easy measurement of daily activities, potentially applicable in rehabilitation practice for various purposes such as maintaining and increasing patients’ activity levels. In this study, we aimed to examine the validity of trunk acce...

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Autores principales: Mukaino, Masahiko, Ogasawara, Takayuki, Matsuura, Hirotaka, Aoshima, Yasushi, Suzuki, Takuya, Furuzawa, Shotaro, Yamaguchi, Masumi, Nakashima, Hiroshi, Saitoh, Eiichi, Tsukada, Shingo, Otaka, Yohei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185863/
https://www.ncbi.nlm.nih.gov/pubmed/35689292
http://dx.doi.org/10.1186/s13102-022-00492-4
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author Mukaino, Masahiko
Ogasawara, Takayuki
Matsuura, Hirotaka
Aoshima, Yasushi
Suzuki, Takuya
Furuzawa, Shotaro
Yamaguchi, Masumi
Nakashima, Hiroshi
Saitoh, Eiichi
Tsukada, Shingo
Otaka, Yohei
author_facet Mukaino, Masahiko
Ogasawara, Takayuki
Matsuura, Hirotaka
Aoshima, Yasushi
Suzuki, Takuya
Furuzawa, Shotaro
Yamaguchi, Masumi
Nakashima, Hiroshi
Saitoh, Eiichi
Tsukada, Shingo
Otaka, Yohei
author_sort Mukaino, Masahiko
collection PubMed
description BACKGROUND: Recent advancements in wearable technology have enabled easy measurement of daily activities, potentially applicable in rehabilitation practice for various purposes such as maintaining and increasing patients’ activity levels. In this study, we aimed to examine the validity of trunk acceleration measurement using a chest monitor embedded in a smart clothing system (‘hitoe’ system), an emerging wearable system, in assessing the physical activity in an experimental setting with healthy subjects (Study 1) and in a clinical setting with post-stroke patients (Study 2). METHODS: Study 1 involved the participation of 14 healthy individuals. The trunk acceleration, heart rate (HR), and oxygen consumption were simultaneously measured during treadmill testing with a Bruce protocol. Trunk acceleration and HR were measured using the "hitoe" system, a smart clothing system with embedded chest sensors. Expiratory gas analysis was performed to measure oxygen consumption. Three parameters, moving average (MA), moving standard deviation (MSD), and moving root mean square (RMS), were calculated from the norm of the trunk acceleration. The relationships between these accelerometer-based parameters and oxygen consumption-based physical activity intensity measured with the percent VO2 reserve (%VO(2)R) were examined. In Study 2, 48 h of simultaneous measurement of trunk acceleration and heart rate-based physical activity intensity in terms of percent heart rate reserve (%HRR) was conducted with the "hitoe" system in 136 post-stroke patients. RESULTS: The values of MA, MSD, RMS, and %VO(2)R were significantly different between levels 1, 2, 3, and 4 in the Bruce protocol (P < 0.01). The average coefficients of determination for individual regression for %VO(2)R versus MA, %VO(2)R versus MSD, and %VO(2)R versus RMS were 0.89 ± 0.05, 0.96 ± 0.03, and 0.91 ± 0.05, respectively. Among the parameters examined, MSD showed the best correlation with %VO(2)R, indicating high validity of the parameter for assessing physical activity intensity. The 48-h measurement of MSD and %HRR in post-stroke patients showed significant within-individual correlation (P < 0.05) in 131 out of 136 patients (correlation coefficient: 0.60 ± 0.16). CONCLUSIONS: The results support the validity of the MSD calculated from the trunk acceleration measured with a smart clothing system in assessing the physical activity intensity. Trial registration: UMIN000034967. Registered 21 November 2018 (retrospectively registered). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13102-022-00492-4.
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spelling pubmed-91858632022-06-11 Validity of trunk acceleration measurement with a chest-worn monitor for assessment of physical activity intensity Mukaino, Masahiko Ogasawara, Takayuki Matsuura, Hirotaka Aoshima, Yasushi Suzuki, Takuya Furuzawa, Shotaro Yamaguchi, Masumi Nakashima, Hiroshi Saitoh, Eiichi Tsukada, Shingo Otaka, Yohei BMC Sports Sci Med Rehabil Research BACKGROUND: Recent advancements in wearable technology have enabled easy measurement of daily activities, potentially applicable in rehabilitation practice for various purposes such as maintaining and increasing patients’ activity levels. In this study, we aimed to examine the validity of trunk acceleration measurement using a chest monitor embedded in a smart clothing system (‘hitoe’ system), an emerging wearable system, in assessing the physical activity in an experimental setting with healthy subjects (Study 1) and in a clinical setting with post-stroke patients (Study 2). METHODS: Study 1 involved the participation of 14 healthy individuals. The trunk acceleration, heart rate (HR), and oxygen consumption were simultaneously measured during treadmill testing with a Bruce protocol. Trunk acceleration and HR were measured using the "hitoe" system, a smart clothing system with embedded chest sensors. Expiratory gas analysis was performed to measure oxygen consumption. Three parameters, moving average (MA), moving standard deviation (MSD), and moving root mean square (RMS), were calculated from the norm of the trunk acceleration. The relationships between these accelerometer-based parameters and oxygen consumption-based physical activity intensity measured with the percent VO2 reserve (%VO(2)R) were examined. In Study 2, 48 h of simultaneous measurement of trunk acceleration and heart rate-based physical activity intensity in terms of percent heart rate reserve (%HRR) was conducted with the "hitoe" system in 136 post-stroke patients. RESULTS: The values of MA, MSD, RMS, and %VO(2)R were significantly different between levels 1, 2, 3, and 4 in the Bruce protocol (P < 0.01). The average coefficients of determination for individual regression for %VO(2)R versus MA, %VO(2)R versus MSD, and %VO(2)R versus RMS were 0.89 ± 0.05, 0.96 ± 0.03, and 0.91 ± 0.05, respectively. Among the parameters examined, MSD showed the best correlation with %VO(2)R, indicating high validity of the parameter for assessing physical activity intensity. The 48-h measurement of MSD and %HRR in post-stroke patients showed significant within-individual correlation (P < 0.05) in 131 out of 136 patients (correlation coefficient: 0.60 ± 0.16). CONCLUSIONS: The results support the validity of the MSD calculated from the trunk acceleration measured with a smart clothing system in assessing the physical activity intensity. Trial registration: UMIN000034967. Registered 21 November 2018 (retrospectively registered). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13102-022-00492-4. BioMed Central 2022-06-10 /pmc/articles/PMC9185863/ /pubmed/35689292 http://dx.doi.org/10.1186/s13102-022-00492-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mukaino, Masahiko
Ogasawara, Takayuki
Matsuura, Hirotaka
Aoshima, Yasushi
Suzuki, Takuya
Furuzawa, Shotaro
Yamaguchi, Masumi
Nakashima, Hiroshi
Saitoh, Eiichi
Tsukada, Shingo
Otaka, Yohei
Validity of trunk acceleration measurement with a chest-worn monitor for assessment of physical activity intensity
title Validity of trunk acceleration measurement with a chest-worn monitor for assessment of physical activity intensity
title_full Validity of trunk acceleration measurement with a chest-worn monitor for assessment of physical activity intensity
title_fullStr Validity of trunk acceleration measurement with a chest-worn monitor for assessment of physical activity intensity
title_full_unstemmed Validity of trunk acceleration measurement with a chest-worn monitor for assessment of physical activity intensity
title_short Validity of trunk acceleration measurement with a chest-worn monitor for assessment of physical activity intensity
title_sort validity of trunk acceleration measurement with a chest-worn monitor for assessment of physical activity intensity
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185863/
https://www.ncbi.nlm.nih.gov/pubmed/35689292
http://dx.doi.org/10.1186/s13102-022-00492-4
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