School of Computer and Communication Engineering, Universiti Malaysia Perlis (UniMAP), Malaysia.
Bosn J Basic Med Sci. 2012 Aug;12(3):193-202. doi: 10.17305/bjbms.2012.2484.
Even though the amount of rehabilitation guidelines has never been greater, uncertainty continues to arise regarding the efficiency and effectiveness of the rehabilitation of gait disorders. This question has been hindered by the lack of information on accurate measurements of gait disorders. Thus, this article reviews the rehabilitation systems for gait disorder using vision and non-vision sensor technologies, as well as the combination of these. All papers published in the English language between 1990 and June, 2012 that had the phrases "gait disorder", "rehabilitation", "vision sensor", or "non vision sensor" in the title, abstract, or keywords were identified from the SpringerLink, ELSEVIER, PubMed, and IEEE databases. Some synonyms of these phrases and the logical words "and", "or", and "not" were also used in the article searching procedure. Out of the 91 published articles found, this review identified 84 articles that described the rehabilitation of gait disorders using different types of sensor technologies. This literature set presented strong evidence for the development of rehabilitation systems using a markerless vision-based sensor technology. We therefore believe that the information contained in this review paper will assist the progress of the development of rehabilitation systems for human gait disorders.
尽管康复指南的数量从未如此之多,但对于步态障碍康复的效率和效果仍然存在不确定性。这个问题一直受到缺乏步态障碍准确测量信息的阻碍。因此,本文综述了使用视觉和非视觉传感器技术以及这些技术组合的步态障碍康复系统。从 SpringerLink、ELSEVIER、PubMed 和 IEEE 数据库中,检索了 1990 年至 2012 年 6 月间发表的标题、摘要或关键词中含有“步态障碍”、“康复”、“视觉传感器”或“非视觉传感器”的所有英文文献。在文章检索过程中,还使用了这些短语的一些同义词以及逻辑词“和”、“或”和“非”。在 91 篇已发表的文章中,本综述确定了 84 篇描述了使用不同类型传感器技术的步态障碍康复的文章。这组文献为使用无标记基于视觉的传感器技术开发康复系统提供了有力的证据。因此,我们认为本综述中包含的信息将有助于人类步态障碍康复系统的发展。