Automated rehabilitation system for knee and hip rehabilitation

预计加拿大的老龄化人口将对保健资源造成越来越大的负担，特别是对康复等成本和劳动密集的治疗和程序。一个例子是膝关节和髋关节的康复，通常是在关节置换手术之后。随着人口老龄化，对膝关节/髋关节康复的需求预计将显著增加。目前，这种康复需要一对一的患者治疗师比例。治疗师观察人体运动，进行评估并建议治疗。该方案对治疗师来说是时间密集型的，需要治疗师进行主观的人体运动评估，这可能很难通过眼睛和治疗师依赖来准确测量。本研究计划提出开发一套自动化的康复系统，以便在进行康复训练时定量测量人体运动。病人佩戴并嵌入康复设备的小型可穿戴传感器将实时运动数据传输到附近的计算机。该项目将开发硬件、软件和用户界面，以便根据测量数据自动评估运动表现，为患者和治疗师提供实时反馈。该软件还可以记录运动数据，以便分析患者在一段时间内的表现，以进行诊断和治疗评估和选择。

Canada's aging population is expected to create an increasing burden on health care resources, particularly those treatments and procedures which are cost and labour intensive such as rehabilitation. One example is knee and hip rehabilitation, typically following joint replacement surgery. The demand for knee/hip rehabilitation is expected to increase significantly as our population ages. Currently, such rehabilitation requires a one-to-one patient therapist ratio. The therapist observes human movement, performs assessment and recommends treatment. The protocol is time-intensive for the therapist and requires subjective human movement evaluation by the therapist, which may be difficult to measure accurately by eye and therapist dependent. This research project proposes the development of an automated rehabilitation system to enable quantitative measurement of human motion during the performance of rehabilitation exercises. Small wearable sensors worn by the patient and embedded in the rehabilitation equipment will transmit real-time movement data to a nearby computer. The project will develop hardware, software and user interfaces to enable automatic assessment of movement performance from the measured data to provide real time feedback to the patient and the therapist. The software will also enable recording of the movement data, so that the patient's performance over time can be analyzed for diagnosis and treatment evaluation and selection.