使用机器人辅助物理治疗的手部康复

I.H.D Madhushan, E.B.K Charnara, A.T.J De Zoysa, G. Sandali Upeka, Nimsiri Abhayasinghe, P. Abeygunawardhana
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引用次数: 0

摘要

现代世界的机器人技术目前正在医疗领域实施,以提高护理质量和患者的治疗效果。在提出的系统中,机器人技术被用于物理治疗。在现有的物理治疗机器人设备中,没有为手指和手腕的每个关节提供锻炼的功能。因此,在这个系统中,我们使用正运动学技术来定位物理治疗师可以访问的手指和手腕的每个关节。我们利用实体模型设计了机械手,并实现了三维模型,然后在不同的场景下对装配系统进行了测试。大多数现有的机器人系统分别提供手指和手腕的锻炼,但我们的系统可以同时提供所有的锻炼。在这里,我们可以预测给病人的下一个运动和病人康复的进展。对于预测,我们使用FB预言算法开发了模型。当使用该设备时,患者的手部运动被实时监控,物理治疗师可以在控制机器人设备的同时看到手部运动的角度。为了控制这个机器人设备,我们使用了一个移动应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hand Rehabilitation Using Robot-Assisted Physiotherapy
Robotics technology in the modern world is currently being implemented in medical fields to improve the quality of care and patient outcomes. In the proposed system, the robotics technology is used for physiotherapy. In the existing physiotherapy robot devices, there is no feature that provides exercise for every joint of the fingers and the wrist. Therefore, in this system, we used forward kinematics technologies to address each joint of the fingers and wrist thatcan access by the physiotherapist. We have designed the robot hand using the solid work and implemented 3D model then assembled system was tested again using different scenarios. Most existing robotic systems provide finger and wrist exercises separately, but our system can provide all exercises simultaneously. In here, we can predict the next exercises that are given for the patient and the progress of the rehabilitation of the patient. For the prediction, we developed the models using the FB prophet algorithm. When using this device, the patient's hand exercises are monitored in real-time and the physiotherapist can see the angles of the hand movement while controlling the robot device. To control this robot device, we used a mobile application.
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