可穿戴计算机
康复
物理医学与康复
冲程(发动机)
可穿戴技术
过程(计算)
多样性(控制论)
医学
医疗保健
计算机科学
物理疗法
工程类
人工智能
嵌入式系统
经济
经济增长
操作系统
机械工程
作者
Pablo Maceira-Elvira,Traian Popa,Anne‐Christine Schmid,Friedhelm Christoph Hummel
标识
DOI:10.1186/s12984-019-0612-y
摘要
Stroke is one of the main causes of long-term disability worldwide, placing a large burden on individuals and society. Rehabilitation after stroke consists of an iterative process involving assessments and specialized training, aspects often constrained by limited resources of healthcare centers. Wearable technology has the potential to objectively assess and monitor patients inside and outside clinical environments, enabling a more detailed evaluation of the impairment and allowing the individualization of rehabilitation therapies. The present review aims to provide an overview of wearable sensors used in stroke rehabilitation research, with a particular focus on the upper extremity. We summarize results obtained by current research using a variety of wearable sensors and use them to critically discuss challenges and opportunities in the ongoing effort towards reliable and accessible tools for stroke rehabilitation. Finally, suggestions concerning data acquisition and processing to guide future studies performed by clinicians and engineers alike are provided.
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