Boston University, Boston, Massachusetts.
Pfizer, Cambridge, Massachusetts.
Arthritis Care Res (Hoboken). 2023 Sep;75(9):1939-1948. doi: 10.1002/acr.25096. Epub 2023 Mar 7.
OBJECTIVE: To assess the reliability of wearable sensors for at-home assessment of walking and chair stand activities in people with knee osteoarthritis (OA). METHODS: 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. RESULTS: 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. CONCLUSION: 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.
目的:评估可穿戴传感器在家中评估膝骨关节炎(OA)患者行走和椅式站立活动的可靠性。
方法:使用参加运动干预临床试验的膝骨关节炎患者的基线数据。参与者完成了一次面对面的实验室访问和一次视频会议支持的家庭访问。在两次访问中,参与者在佩戴 3 个惯性传感器的情况下完成了行走和椅式站立任务。在家庭访问期间,参与者自行佩戴传感器,并在 15 分钟的休息时间后完成 2 组采集,在此期间他们取下并重新戴上传感器。参与者完成了一项关于家庭访问体验的调查。在实验室访问期间,研究人员将传感器放置在参与者身上。从传感器数据中提取行走步态和椅式站立持续时间的时空度量。我们使用了组内相关系数(ICC)和 Bland-Altman 图进行统计分析。
结果:在家中访问的测试-重测可靠性方面,所有 ICC 均为良好至优秀(0.85-0.95)。在家中和实验室访问之间的一致性方面,ICC 为中度至良好(0.59-0.87)。由于实验室访问期间任务速度较快,因此在家中和实验室数据之间存在系统差异。参与者报告在家中访问期间的体验良好。
结论:我们远程估计时空步态测量和椅式站立持续时间的方法在膝骨关节炎患者中是可靠、可行和可接受的。在未来的研究中,可穿戴传感器可用于在参与者的自然环境中远程评估行走和椅式站立。
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