Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada.
School of Communication Sciences and Disorders, Elborn College, Western University, London, ON, Canada.
J Neurol. 2022 May;269(5):2673-2686. doi: 10.1007/s00415-021-10831-z. Epub 2021 Oct 27.
Remote health monitoring with wearable sensor technology may positively impact patient self-management and clinical care. In individuals with complex health conditions, multi-sensor wear may yield meaningful information about health-related behaviors. Despite available technology, feasibility of device-wearing in daily life has received little attention in persons with physical or cognitive limitations. This mixed methods study assessed the feasibility of continuous, multi-sensor wear in persons with cerebrovascular (CVD) or neurodegenerative disease (NDD).
Thirty-nine participants with CVD, Alzheimer's disease/amnestic mild cognitive impairment, frontotemporal dementia, Parkinson's disease, or amyotrophic lateral sclerosis (median age 68 (45-83) years, 36% female) wore five devices (bilateral ankles and wrists, chest) continuously for a 7-day period. Adherence to device wearing was quantified by examining volume and pattern of device removal (non-wear). A thematic analysis of semi-structured de-brief interviews with participants and study partners was used to examine user acceptance.
Adherence to multi-sensor wear, defined as a minimum of three devices worn concurrently, was high (median 98.2% of the study period). Non-wear rates were low across all sensor locations (median 17-22 min/day), with significant differences between some locations (p = 0.006). Multi-sensor non-wear was higher for daytime versus nighttime wear (p < 0.001) and there was a small but significant increase in non-wear over the collection period (p = 0.04). Feedback from de-brief interviews suggested that multi-sensor wear was generally well accepted by both participants and study partners.
A continuous, multi-sensor remote health monitoring approach is feasible in a cohort of persons with CVD or NDD.
使用可穿戴传感器技术进行远程健康监测可能会对患者的自我管理和临床护理产生积极影响。在患有复杂健康状况的个体中，多传感器佩戴可能会提供有关健康相关行为的有意义信息。尽管有可用的技术，但在身体或认知受限的人群中，日常生活中佩戴设备的可行性却很少受到关注。这项混合方法研究评估了连续、多传感器佩戴在患有脑血管病（CVD）或神经退行性疾病（NDD）的个体中的可行性。
39 名参与者患有 CVD、阿尔茨海默病/遗忘型轻度认知障碍、额颞叶痴呆、帕金森病或肌萎缩侧索硬化症（中位数年龄 68（45-83）岁，36%为女性）连续佩戴五个设备（双侧脚踝和手腕、胸部）7 天。通过检查设备移除（不佩戴）的体积和模式来量化对设备佩戴的依从性。对参与者和研究伙伴的半结构化汇报访谈的主题分析用于检查用户接受度。
多传感器佩戴的依从性（定义为至少同时佩戴三个设备）很高（研究期间的中位数为 98.2%）。所有传感器位置的非佩戴率都较低（中位数为 17-22 分钟/天），一些位置之间存在显著差异（p=0.006）。与夜间佩戴相比，白天佩戴的多传感器非佩戴率更高（p<0.001），并且在采集期间非佩戴率略有增加（p=0.04）。从汇报访谈中得到的反馈表明，多传感器佩戴通常得到了参与者和研究伙伴的认可。
连续、多传感器远程健康监测方法在 CVD 或 NDD 患者队列中是可行的。
