Mukaino Masahiko, Ogasawara Takayuki, Matsuura Hirotaka, Aoshima Yasushi, Suzuki Takuya, Furuzawa Shotaro, Yamaguchi Masumi, Nakashima Hiroshi, Saitoh Eiichi, Tsukada Shingo, Otaka Yohei
Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan.
NTT Basic Research Laboratories and Bio-Medical Informatics Research Center, NTT Corporation, Atsugi, Kanagawa, Japan.
BMC Sports Sci Med Rehabil. 2022 Jun 10;14(1):104. doi: 10.1186/s13102-022-00492-4.
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).
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 (%VOR) 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.
The values of MA, MSD, RMS, and %VOR 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 %VOR versus MA, %VOR versus MSD, and %VOR 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 %VOR, 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).
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.
UMIN000034967. Registered 21 November 2018 (retrospectively registered).
可穿戴技术的最新进展使得日常活动的测量变得容易，这在康复实践中可能有多种应用，比如维持和提高患者的活动水平。在本研究中，我们旨在检验一种嵌入智能服装系统（“hitoe”系统，一种新兴的可穿戴系统）的胸部监测器测量躯干加速度在评估健康受试者实验环境（研究1）和中风后患者临床环境（研究2）中的身体活动时的有效性。
研究1纳入了14名健康个体。在采用布鲁斯方案的跑步机测试期间，同时测量躯干加速度、心率（HR）和耗氧量。使用“hitoe”系统（一种带有嵌入式胸部传感器的智能服装系统）测量躯干加速度和HR。进行呼气气体分析以测量耗氧量。从躯干加速度的范数计算出三个参数，即移动平均值（MA）、移动标准差（MSD）和移动均方根（RMS）。研究了这些基于加速度计的参数与用VO₂储备百分比（%VOR）测量的基于耗氧量的身体活动强度之间的关系。在研究2中，使用“hitoe”系统对136名中风后患者进行了48小时的躯干加速度和基于心率储备百分比（%HRR）的身体活动强度的同步测量。
布鲁斯方案中1、2、3和4级之间的MA、MSD、RMS和%VOR值有显著差异（P<0.01）。%VOR与MA、%VOR与MSD、%VOR与RMS的个体回归平均决定系数分别为0.89±0.05、0.96±0.03和0.91±0.05。在所研究的参数中，MSD与%VOR的相关性最佳，表明该参数在评估身体活动强度方面具有很高有效性。中风后患者中MSD和%HRR的48小时测量显示，136名患者中有131名存在显著的个体内相关性（P<0.05）（相关系数：0.60±0.16）。
结果支持了通过智能服装系统测量的躯干加速度计算出的MSD在评估身体活动强度方面的有效性。
UMIN000034967。2018年11月2日注册（追溯注册）。
