School of Information Systems and Technology, San Jose State University, United States.
Department of Informatics, University of California, Irvine, United States.
Int J Med Inform. 2019 Mar;123:11-22. doi: 10.1016/j.ijmedinf.2018.12.001. Epub 2018 Dec 11.
Many forms of home-based technology targeting stroke rehabilitation have been devised, and a number of human factors are important to their application, suggesting the need to examine this information in a comprehensive review.
The systematic review aims to synthesize the current knowledge of technologies and human factors in home-based technologies for stroke rehabilitation.
We conducted a systematic literature search in three electronic databases (IEEE, ACM, PubMed), including secondary citations from the literature search. We included articles that used technological means to help stroke patients conduct rehabilitation at home, reported empirical studies that evaluated the technologies with patients in the home environment, and were published in English. Three authors independently conducted the content analysis of searched articles using a list of interactively defined factors.
The search yielded 832 potentially relevant articles, leading to 31 articles that were included for in-depth analysis. The types of technology of reviewed articles included games, telerehabilitation, robotic devices, virtual reality devices, sensors, and tablets. We present the merits and limitations of each type of technology. We then derive two main human factors in designing home-based technologies for stroke rehabilitation: designing for engagement (including external and internal motivation) and designing for the home environment (including understanding the social context, practical challenges, and technical proficiency).
This systematic review presents an overview of key technologies and human factors for designing home-based technologies for stroke rehabilitation.
已经设计出许多针对中风康复的家庭为基础的技术形式，并且许多人为因素对其应用非常重要，这表明需要在全面的综述中检查这些信息。
本系统综述旨在综合有关家庭为基础的中风康复技术和人为因素的现有知识。
我们在三个电子数据库（IEEE、ACM、PubMed）中进行了系统文献检索，包括文献检索中的二级引用。我们纳入了使用技术手段帮助中风患者在家中进行康复的文章，报道了在家庭环境中评估技术的实证研究，并以英文发表。三位作者使用互动定义的因素列表，独立对搜索文章进行内容分析。
搜索产生了 832 篇潜在相关文章，最终有 31 篇文章被纳入深入分析。综述文章的技术类型包括游戏、远程康复、机器人设备、虚拟现实设备、传感器和平板电脑。我们介绍了每种技术类型的优点和局限性。然后，我们得出了设计中风康复家庭技术的两个主要人为因素：设计参与（包括外部和内部动机）和设计家庭环境（包括了解社会背景、实际挑战和技术熟练程度）。
本系统综述介绍了设计中风康复家庭技术的关键技术和人为因素概述。
