Reliability of Wearable Sensors for Assessing Gait and Chair Stand Function at Home in People With Knee Osteoarthritis

组内相关 步态 物理疗法 可穿戴计算机 物理医学与康复 医学 可靠性(半导体) 考试(生物学) 步态分析 计算机科学 心理测量学 嵌入式系统 物理 古生物学 生物 功率(物理) 临床心理学 量子力学
作者
Michael Rose,Tuhina Neogi,Brian Friscia,Kaveh A. Torabian,Michael P. LaValley,Mary Gheller,Lukas Adamowicz,Pirinka Georgiev,Lars Viktrup,Charmaine Demanuele,Paul W. Wacnik,Deepak Kumar
出处
期刊:Arthritis Care and Research [Wiley]
卷期号:75 (9): 1939-1948 被引量:2
标识
DOI:10.1002/acr.25096
摘要

To assess the reliability of wearable sensors for at-home assessment of walking and chair stand activities in people with knee osteoarthritis (OA).Baseline data from participants with knee OA (n = 20) enrolled in a clinical trial of an exercise intervention were used. Participants completed an in-person laboratory visit and a video conference-enabled at-home visit. In both visits, participants performed walking and chair stand tasks while fitted with 3 inertial sensors. During the at-home visit, participants self-donned the sensors and completed 2 sets of acquisitions separated by a 15-minute break, when they removed and redonned the sensors. Participants completed a survey on their experience with the at-home visit. During the laboratory visit, researchers placed the sensors on the participants. Spatiotemporal metrics of walking gait and chair stand duration were extracted from the sensor data. We used intraclass correlation coefficients (ICCs) and the Bland-Altman plot for statistical analyses.For test-retest reliability during the at-home visit, all ICCs were good to excellent (0.85-0.95). For agreement between at-home and laboratory visits, ICCs were moderate to good (0.59-0.87). Systematic differences were noted between at-home and laboratory data due to faster task speed during the laboratory visits. Participants reported a favorable experience during the at-home visit.Our method of estimating spatiotemporal gait measures and chair stand duration function remotely was reliable, feasible, and acceptable in people with knee OA. Wearable sensors could be used to remotely assess walking and chair stand in participant's natural environments in future studies.

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