Venugopalan Janani, Cheng Chih-Wen, Wang May D
Wallace H. Coulter department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332.
Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332.
ACM BCB. 2014;2014:455-463. doi: 10.1145/2649387.2649430.
Physical injury, stroke, trauma, traumatic brain injury and spinal cord injury rank among the top causes of disability. There are a total of 54 million people in the US requiring rehabilitative assistance of which 15.3 million people are in the age groups of 18-44. However, the compliance rate for patients performing rehabilitation exercises in the home environment is poor. In this paper, we design and prototype a personalized home rehabilitation system, MotionTalk, for the real time quantitative assessment of mobility. Performance of rehabilitation is designed to be assessed using the changes in mobility, reflected in the exercises performed by patients at home with respect to the same exercises performed in the clinic. Our system is capable of capturing motion using Microsoft Kinect and analyzing the position and rotation information to give scores for assessing rehabilitation progress. In comparison to conventional rehabilitation systems, MotionTalk is an inexpensive (<$150 compared to conventional systems costing >$1000), less intrusive and personalized home rehabilitation system, which was developed and tested using data from able-bodied volunteers at Georgia Institute of Technology.
身体损伤、中风、创伤、创伤性脑损伤和脊髓损伤位列致残的主要原因。美国共有5400万人需要康复援助，其中1530万人年龄在18至44岁之间。然而，患者在家庭环境中进行康复锻炼的依从率很低。在本文中，我们设计并制作了一个个性化的家庭康复系统MotionTalk，用于对行动能力进行实时定量评估。康复表现旨在通过行动能力的变化来评估，这体现在患者在家中进行的锻炼与在诊所进行的相同锻炼的对比中。我们的系统能够使用微软Kinect捕捉动作，并分析位置和旋转信息，以给出评估康复进展的分数。与传统康复系统相比，MotionTalk是一个价格低廉（与成本超过1000美元的传统系统相比不到150美元）、侵入性较小且个性化的家庭康复系统，它是利用佐治亚理工学院身体健全志愿者的数据开发和测试的。
