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,1010, New Zealand
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：
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;
D O I：
10.1007/978-3-319-13966-1_23
中图分类号：
学科分类号：
摘要：
引用
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页码：224 / 233
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