Real-time implementation of electromyogram pattern recognition as a control command of man-machine interface-Reference-Cited by-同舟云学术

Real-time implementation of electromyogram pattern recognition as a control command of man-machine interface

Published:1996-10 Issue:7 Volume:18 Page:529-537
ISSN:1350-4533
Container-title:Medical Engineering & Physics
language:en
Short-container-title:Medical Engineering & Physics

Author:

Chang Gwo-Ching,Kang Wen-Juh,Luh Jer-Junn,Cheng Cheng-Kung,Lai Jin-Shin,Chen Jia-Jin J.,Kuo Te-Son

Publisher

Elsevier BV

Subject

Biomedical Engineering,Biophysics

Reference25 articles.

1. EMG pattern analysis for patient-responsive control of FES in paraplegics for walker-supported walking;Graupe;IEEE Trans Biomed Eng,1989

2. The electromyogram (EMG) as a control signal for functional neuromuscular stimulation—Part I: Autoregressive modeling as a mean of EMG signature discrimination;Hefftner;IEEE Trans Biomed Eng,1988

3. Upper extremity limb function discrimination using EMG signal analysis;Doerschuk;IEEE Trans Biomed Eng,1983

4. Stochastic analysis of myoelectric temporal signatures for multifunctional sigle-site activation of prosthesis and orthoses;Graupe;J Biomed Eng,1985

5. A new strategy for multifunction myoelectric control;Hudgins;IEEE Trans Biomed Eng,1993

Cited by 51 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating muscle force based on a neuromuscular decoding approach adaptive to fatigue conditions;Biomedical Signal Processing and Control;2024-12

2. Instance-based learning with prototype reduction for real-time proportional myocontrol: a randomized user study demonstrating accuracy-preserving data reduction for prosthetic embedded systems;Medical & Biological Engineering & Computing;2023-10-05

3. LibEMG: An Open Source Library to Facilitate the Exploration of Myoelectric Control;IEEE Access;2023

4. Feature Extraction and Evaluation for Classification Models of Injurious Falls Based on Surface Electromyography;Physical Therapy Korea;2021-05-20

5. Wearable and non-invasive assistive technologies;Wearable Sensors;2021