一种低成本手部康复监测系统仪表手套的设计

S. Ganeson, R. Ambar, M. Jamil
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引用次数: 16

摘要

手部麻痹是中风引起的典型残疾。康复帮助中风幸存者恢复正常生活,实现最佳的独立水平。重复练习是提高抓握力和重新训练大脑运动技能的必要条件。因此,本文提出了一种利用柔性传感器和力电阻传感器的仪器手套,用于中风后手部康复系统。弯曲传感器用于测量每个手指的弯曲/伸展,而力敏电阻(FSR)传感器连接在每个指尖上,以测量当抓住物体时指尖施加的力。来自传感器的模拟信号被传送到PIC16F877A微控制器进行数据处理,然后传送到个人计算机进行监控和分析过程。然后将结果记录下来,用于后处理和渐进状态跟踪。通过挤压橡胶球的初步实验结果,通过展示施加在每个指尖上的力与手指弯曲/伸展的关系,显示了所开发手套的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a low-cost instrumented glove for hand rehabilitation monitoring system
Hand paralysis is typical disabilities resulting from stroke. Rehabilitation assists stroke survivors to gaining back to their normal life and accomplishing the best level of independence. Repetitive practice is imperative to improve grasping strength and retrain the brain motor skills. Thus, this paper proposes an instrumented glove utilizing flex sensors and force resistive sensors for post-stroke hand rehabilitation system. The flex sensors are used to measure flexion/extension of each finger, while force sensitive resistor (FSR) sensors is attached on each finger tips to measure the forces applied at the fingertips when an object is grasped. Analogue signals from the sensors are conveyed to PIC16F877A microcontrollers for data processing then transferred to a personal computer for monitoring and analysis process. The results are then documented for the purpose of post-processing and progressive status tracking. Preliminary experimental results involving squeezing a rubber ball shows the usefulness of the developed glove by demonstrating the relation of fingers flexion/extension with forces applied on each fingertip.
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