Automated rehabilitation system for knee and hip rehabilitation

加拿大人口老龄化预计将对医疗保健资源造成越来越大的负担，特别是那些成本和劳动密集型的治疗和程序，如康复。一个例子是膝关节和髋关节康复，通常在关节置换手术后。随着人口老龄化，预计膝关节/髋关节康复的需求将显著增加。目前，这种康复需要一对一的病人治疗师比例。治疗师观察人体运动，进行评估并建议治疗。该方案对于治疗师来说是时间密集的，并且需要治疗师的主观人体运动评估，这可能难以通过眼睛和治疗师依赖性来准确测量。该研究项目提出了一个自动康复系统的发展，使定量测量人体运动在康复锻炼的性能。由患者佩戴并嵌入康复设备中的小型可穿戴传感器将实时移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性能，为患者和治疗师提供真实的时间反馈。该软件还可以记录运动数据，以便分析患者随时间的表现，用于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.