General Perspectives on Electromyography Signal Features and Classifiers Used for Control of Human Arm Prosthetics-Reference-Cited by-同舟云学术

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General Perspectives on Electromyography Signal Features and Classifiers Used for Control of Human Arm Prosthetics

Published:2018 Issue: Volume: Page:492-504
ISSN:
Container-title:Encyclopedia of Information Science and Technology, Fourth Edition
language:
Short-container-title:

Author:

Ortes Faruk¹,Karabulut Derya²,Arslan Yunus Ziya¹

Affiliation:

1. Istanbul University, Turkey

2. Halic University, Turkey

Abstract

Publisher

IGI Global

Reference36 articles.

1. Identification of EMG signals using discriminant analysis and SVM classifier

2. Prediction of externally applied forces to human hands using frequency content of surface EMG signals

3. Multivariate discriminant analysis of the electromyographic interference pattern: statistical approach to discrimination among controls, myopathies and neuropathies

4. Fuzzy EMG classification for prosthesis control

Cited by 4 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. Flexion Angle Estimation from Single Channel Forearm EMG Signals using Effective Features;Electrotehnica, Electronica, Automatica;2023-08-15

2. Design and Development of EMG Based Prosthetic Arm;2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS);2020-03

3. Flexible Analytic Wavelet Transform Based Features for Physical Action Identification Using sEMG Signals;IRBM;2020-02

4. An efficient approach for physical actions classification using surface EMG signals;Health Information Science and Systems;2019-12-23

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