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
收藏
页码：224 / 233
相关论文
共 50 条
  • [41] EMG-based biofeedback system for motor rehabilitation: a pilot study
    Di Girolamo, M.
    Celadon, N.
    Appendino, S.
    Turolla, A.
    Ariano, P.
    2017 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS), 2017,
  • [42] An EMG-based mouse controller for a tetraplegic
    Jeong, H
    Kim, JS
    Son, WH
    INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOL 1-4, PROCEEDINGS, 2005, : 1229 - 1234
  • [43] EMG-based BCI for PiCar Mobilization
    Ertekin, Efe
    Gunden, Burak Bahir
    Yilmaz, Yasin
    Sayar, Alperen
    Cakar, Tuna
    Arslan, Sefik Suayb
    Proceedings - 7th International Conference on Computer Science and Engineering, UBMK 2022, 2022, : 496 - 500
  • [44] EMG-Based prediction of shoulder and elbow kinematics in able-bodied and spinal cord injured individuals
    Au, ATC
    Kirsch, RF
    IEEE TRANSACTIONS ON REHABILITATION ENGINEERING, 2000, 8 (04): : 471 - 480
  • [45] Performance Comparison of Classification Methods for Surface EMG-Based Human-Machine Interface
    Chun Yang
    Long, Jinyi
    Hao Wang
    INTERNATIONAL JOURNAL OF GRID AND HIGH PERFORMANCE COMPUTING, 2015, 7 (04) : 47 - 56
  • [46] EMG-based estimation for multi-joint continuous movement of human upper limb
    Ding, Qichuan, 1600, Chinese Academy of Sciences (36):
  • [47] EMG-based lumbosacral joint compression force prediction using a support vector machine
    Li, Simon S. W.
    Chu, Carlin C. F.
    Chow, Daniel H. K.
    MEDICAL ENGINEERING & PHYSICS, 2019, 74 : 115 - 120
  • [48] A real-time EMG-based assistive computer interface for the upper limb disabled
    Choi, Changmok
    Kim, Jung
    2007 IEEE 10TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS, VOLS 1 AND 2, 2007, : 459 - 462
  • [49] Novel Equilibrium-Point Control of Agonist-Antagonist System with Pneumatic Artificial Muscles: II. Application to EMG-based Human-machine Interface for an Elbow-joint System
    Ariga, Yohei
    Maeda, Daisuke
    Pham, Hang T. T.
    Uemura, Mitsunori
    Hirai, Hiroaki
    Miyazaki, Fumio
    2012 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2012, : 4380 - 4385
  • [50] The influence of social context on emotional contagion: An EMG-based hyperscanning study
    Wang, Dan
    Fu, Yujia
    Chen, Wenfeng
    ACTA PSYCHOLOGICA SINICA, 2024, 56 (08) : 1047 - 1060
12345