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Evaluation of Physical Exercise for Osteoarthritis of the Knee through Image Processing Technique

机译:图像处理技术对膝关节骨关节炎进行体育锻炼的评价

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This research aims to automatically check the correctness of knee exercises for patients with knee osteoarthritis. The patients need to be treated by physical exercise for knee but cannot know the efficacy of physical exercise while doing at home. We developed the automatic system which processes images from knee exercising video of subject who does exercise. This system utilized of histogram analysis and skeletonization. The experimental result was tested by 17 subjects. The system verifies whether subjects do an exercise correctly or incorrectly. The overall accuracy of the exercise postures classification is 73.94%, the overall accuracy of the exercise postures correctness checking is 90.18, and the overall accuracy of the automatic system which verifies the exercise postures is 88.12%. The advantage of the purpose is the patient can do physical exercise spontaneously without attaching a device to the body and know their performance at home.
机译:这项研究的目的是自动检查膝盖骨关节炎患者膝盖运动的正确性。需要对膝盖进行体育锻炼来治疗患者,但在家中却不知道体育锻炼的功效。我们开发了自动系统,该系统可以处理来自运动对象的膝盖运动视频的图像。该系统利用直方图分析和骨架化。实验结果由17位受试者进行了测试。系统会验证受试者是否正确或不正确地进行锻炼。锻炼姿势分类的总体准确性为73.94%,锻炼姿势正确性检查的总体准确性为90.18,验证锻炼姿势的自动系统的总体准确性为88.12%。目的的优点是患者可以自发进行体育锻炼,而无需将设备连接到身体,也无需知道他们在家中的表现。

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