Amini Amin, Banitsas Konstantinos, Young William R
a Department of Electronics and Computer Engineering , Brunel University London , London , UK.
b Department of Clinical Sciences , Brunel University London , London , UK.
Disabil Rehabil Assist Technol. 2019 Aug;14(6):566-573. doi: 10.1080/17483107.2018.1467975. Epub 2018 May 23.
Parkinson's is a neurodegenerative condition associated with several motor symptoms including tremors and slowness of movement. Freezing of gait (FOG); the sensation of one's feet being "glued" to the floor, is one of the most debilitating symptoms associated with advanced Parkinson's. FOG not only contributes to falls and related injuries, but also compromises quality of life as people often avoid engaging in functional daily activities both inside and outside the home. In the current study, we describe a novel system designed to detect FOG and falling in people with Parkinson's (PwP) as well as monitoring and improving their mobility using laser-based visual cues cast by an automated laser system. The system utilizes a RGB-D sensor based on Microsoft Kinect v2 and a laser casting system consisting of two servo motors and an Arduino microcontroller. This system was evaluated by 15 PwP with FOG. Here, we present details of the system along with a summary of feedback provided by PwP. Despite limitations regarding its outdoor use, feedback was very positive in terms of domestic usability and convenience, where 12/15 PwP showed interest in installing and using the system at their homes. Implications for Rehabilitation Providing an automatic and remotely manageable monitoring system for PwP gait analysis and fall detection. Providing an automatic, unobtrusive and dynamic visual cue system for PwP based on laser line projection. Gathering feedback from PwP about the practical usage of the implemented system through focus group events.
帕金森病是一种神经退行性疾病，与多种运动症状相关，包括震颤和运动迟缓。冻结步态（FOG），即感觉双脚“粘”在地板上，是晚期帕金森病最使人衰弱的症状之一。FOG不仅会导致跌倒及相关损伤，还会影响生活质量，因为人们常常避免在家内外进行日常功能性活动。在本研究中，我们描述了一种新型系统，该系统旨在检测帕金森病患者（PwP）的FOG和跌倒情况，并利用自动激光系统投射的基于激光的视觉线索来监测和改善他们的行动能力。该系统利用基于微软Kinect v2的RGB-D传感器以及由两个伺服电机和一个Arduino微控制器组成的激光投射系统。15名有FOG的PwP对该系统进行了评估。在此，我们介绍该系统的详细信息以及PwP提供的反馈总结。尽管该系统在户外使用存在局限性，但在家庭可用性和便利性方面反馈非常积极，15名PwP中有12名表示有兴趣在家中安装和使用该系统。康复意义为PwP提供用于步态分析和跌倒检测的自动且可远程管理的监测系统。基于激光线投影为PwP提供自动、不显眼且动态的视觉线索系统。通过焦点小组活动收集PwP对已实施系统实际使用情况的反馈。
