A study of EMG-based neuromuscular interface for elbow joint

被引:1
作者
Tao, Ran [1 ]
Xie, Sheng Quan [1 ]
Pau, James W. L. [1 ]
机构
[1] Mechanical Engineering, The University of Auckland, 20 Symonds Street, Auckland
来源
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8917卷
关键词
Elbow joint; EMG; Interface; Microcontrollers; Neuromuscular; Rehabilitation;
D O I
10.1007/978-3-319-13966-1_23
中图分类号
学科分类号
摘要
With the increase number of limb disable patients, caused by stroke or paralysis, rehabilitation robots and their human-robot interface earned widespread respect. Based on our previous study about Neuromuscular Interface (NI), this research aims at recording and processing EMG signals from test subjects to accurately represent the movement created by these muscle groups on the elbow joint, and through a designed NI control system to control an single-degree-of-freedom (SDOF) exoskeleton arm for flexion and extension. Also, experiments are used to verify the feasibility of the whole interface system. Improvements have been made to achieve accuracy control, real-time processing and wireless transferring. © Springer International Publishing Switzerland 2014.
引用
收藏
页码:224 / 233
页数:9
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