Artificial neural nets in computer-aided macro motor unit potential classification-Reference-Cited by-同舟云学术

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Artificial neural nets in computer-aided macro motor unit potential classification

Published:1990-09 Issue:3 Volume:9 Page:31-38
ISSN:0739-5175
Container-title:IEEE Engineering in Medicine and Biology Magazine
language:
Short-container-title:IEEE Eng. Med. Biol. Mag.

Author:

Schizas C.N.,Pattichis C.S.,Schofield I.S.,Fawcett P.R.,Middleton L.T.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Medicine

Link

http://xplorestaging.ieee.org/ielx1/51/2155/00059210.pdf?arnumber=59210

Cited by 19 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. Classification of EMG Signals by BFA-Optimized GSVCM for Diagnosis of Fatigue Status;IEEE Transactions on Automation Science and Engineering;2017-04

2. Hybrid BF–PSO and fuzzy support vector machine for diagnosis of fatigue status using EMG signal features;Neurocomputing;2016-01

3. Effect of multiscale PCA de-noising on EMG signal classification for diagnosis of neuromuscular disorders;Journal of Medical Systems;2014-04

4. Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders;Computers in Biology and Medicine;2013-06

5. A decision support system for diagnosis of neuromuscular disorders using DWT and evolutionary support vector machines;Signal, Image and Video Processing;2013-04-30

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