摘要
近年来,下肢运动功能障碍患者呈急剧增加的趋势,严重影响了人们的生活质量。根据研究证明,减重步行训练是针对该类患者康复治疗的重要手段之一。而传统的人工手动的减重步行训练状态不仅繁琐麻烦,而且需要大量的人员辅助,不宜操作。因此我们研发了一种基于人体肌电信号反馈的智能化的辅助行走系统来辅助人们进行康复训练。本系统通过收集受试者在不同行走动作下的典型s EMG信号,利用时域分析、特征值提取算法以及统计分析等方法对采集到的信号进行处理分析,从而分析出人体下肢行走的状态;并通过PID控制算法驱动轮毂电机动作,进而实现基于人体信号反馈的智能减重系统的设计与开发。
In recent years,lower extremity motor dysfunction patients showed a sharp increase in the trend,seriously affecting people's quality of life.According to research,weight loss walking training is one of the important means of walking rehabilitation for patients with such diseases,and a large number of clinical studies have confirmed their effectiveness.Traditional manual manual weight loss walking training state is not only cumbersome trouble,but also need a lot of staff assistance,should not operate.So we developed a kind of artificial muscle signal feedback based on the intelligent auxiliary walking system to help people to carry out rehabilitation training.This system analyzes the collected signals by analyzing the typical sEMG signals of the subjects under different walking movements,and then analyzes the collected signals by time domain analysis,eigenvalue extraction algorithm and statistical analysis.Through the PID control algorithm to drive the wheel motor action,and then based on the human body signal feedback intelligent weight loss system design and development.
作者
徐永立
王玉波
杜浩维
XU Yong-li;WANG Yu-bo;DU Hao-wei
出处
《信息技术与信息化》
2017年第9期61-65,共5页
Information Technology and Informatization
