Application of Home-Based Wearable Technologies in Physical Rehabilitation for Stroke: A Scoping Review

奇纳 可穿戴计算机 康复 心理干预 可穿戴技术 梅德林 物理医学与康复 科克伦图书馆 计算机科学 医学 活动追踪器 物理疗法 荟萃分析 护理部 内科学 政治学 法学 嵌入式系统
作者
Sharon Fong Mei Toh,Kenneth N. K. Fong,Pablo Cruz González,Yuk Ming Tang
出处
期刊:IEEE Transactions on Neural Systems and Rehabilitation Engineering [Institute of Electrical and Electronics Engineers]
卷期号:31: 1614-1623 被引量:14
标识
DOI:10.1109/tnsre.2023.3252880
摘要

Using wearable technologies in the home setting is an emerging option for self-directed rehabilitation. A comprehensive review of its application as a treatment in home-based stroke rehabilitation is lacking. This review aimed to (1) map the interventions that have used wearable technologies in home-based physical rehabilitation for stroke, and (2) provide a synthesis of the effectiveness of wearable technologies as a treatment choice. Electronic databases of the Cochrane Library, MEDLINE, CINAHL, and Web of Science were systematically searched for work published from their inception to February 2022. This scoping review adopted Arksey and O'Malley's framework in the study procedure. Two independent reviewers screened and selected the studies. Twenty-seven were selected in this review. These studies were summarized descriptively, and the level of evidence was assessed. This review identified that most research focused on improving the hemiparetic upper limb (UL) function and a lack of studies applying wearable technologies in home-based lower limb (LL) rehabilitation. Virtual reality (VR), stimulation-based training, robotic therapy, and activity trackers are the interventions identified that apply wearable technologies. Among the UL interventions, "strong" evidence was found to support stimulation-based training, "moderate" evidence for activity trackers, "limited" evidence for VR, and "inconsistent evidence" for robotic training. Due to the lack of studies, understanding the effects of LL wearable technologies remains "very limited." With newer technologies like soft wearable robotics, research in this area will grow exponentially. Future research can focus on identifying components of LL rehabilitation that can be effectively addressed using wearable technologies.
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