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引用次数: 6
摘要
Wolf运动功能测试(Wolf Motor Function Test, WMFT)是一种涉及实时计时测量的方法,用于确定脑卒中后患者的肢体功能能力。计时结果的准确性和一致性对计分至关重要,而手动秒表测量会带来错误和不确定性。本文提出了一种利用相机和传感器实现测试自动化并获得准确结果的技术。该系统通过监控摄像头和Xilinx Virtex II Pro现场可编程门阵列(FPGA)测量七个任务的时间。选择FPGA的主要原因是在处理图像处理等计算密集型任务时,其性能优于通用的片上系统(SoC)。该系统的准确性已在选定的WMFT任务的用户研究中得到验证,该任务使用压力传感器获得的地面真值时间测量。还就如何使框架适应其余任务给出了建议。
Automated Wolf Motor Function Test (WMFT) for Upper Extremities Rehabilitation
The Wolf Motor Function Test (WMFT), which involves real time timing measurements, is used to define the functional ability of the paretic limb of post stroke patients. The accuracy and consistency of the timing results are crucial for scoring, while manual stopwatch measuring introduces mistakes and uncertainty. A technique which uses camera and sensors to automate the test and achieve accurate results is proposed here. This system measures time for seven tasks with a monitor camera and a Xilinx Virtex II Pro Field Programmable Gate Array (FPGA). The FPGA was mainly chosen for its better performance compared to general purpose System on Chip (SoC) for computational intensive tasks, such as image processing in this system. The accuracy of the system has been validated in a user study on selected WMFT tasks with ground truth time measurement obtained from pressure sensors. Suggestions are also given on how the framework can be adapted to the remaining tasks.