A Comprehensive Study on EMG Feature Extraction and Classifiers-Reference-Cited by-同舟云学术

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A Comprehensive Study on EMG Feature Extraction and Classifiers

Published:2018-02-07 Issue:1 Volume:1 Page:
ISSN:2637-4579
Container-title:Open Access Journal of Biomedical Engineering and Biosciences
language:
Short-container-title:OAJBEB

Author:

Spiewak Christopher

Publisher

Lupine Publishers LLC

Subject

General Medicine

Cited by 58 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. Comparative Study of sEMG Feature Evaluation Methods Based on the Hand Gesture Classification Performance;Sensors;2024-06-04

2. An Approach for Evaluation and Recognition of Facial Emotions Using EMG Signal;International Journal of Sensors, Wireless Communications and Control;2024-06

3. Movements Classification Based on Surface Electromyography Using Time-frequency Domain Features;2024 XXVII International Conference on Soft Computing and Measurements (SCM);2024-05-22

4. Machine learning for hand pose classification from phasic and tonic EMG signals during bimanual activities in virtual reality;Frontiers in Neuroscience;2024-04-26

5. Contribution of basal ganglia activity to REM sleep disorder in Parkinson’s disease;Journal of Neurology, Neurosurgery & Psychiatry;2024-04-19

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