Defining the Features of EMG Signals on the Forearm of the Hand Using SVM, RF, k-NN Classification Algorithms-Reference-Cited by-同舟云学术

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Defining the Features of EMG Signals on the Forearm of the Hand Using SVM, RF, k-NN Classification Algorithms

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:2020 Information Communication Technologies Conference (ICTC)
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Author:

Turgunov Adilbek,Zohirov Kudratjon,Ganiyev Alisher,Sharopova Barno

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9118628/9123245/09123287.pdf?arnumber=9123287

Cited by 9 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. A New Feature Extraction Method for EMG Signals;Traitement du Signal;2022-11-30

2. Missing-view completion for fatty liver disease detection;Computers in Biology and Medicine;2022-11

3. Classification Of Some Sensitive Motion Of Fingers To Create Modern Biointerface;2022 International Conference on Information Science and Communications Technologies (ICISCT);2022-09-28

4. A Robotic Ultrasound System Controlled by Human sEMG Signals;2022 International Conference on Advanced Robotics and Mechatronics (ICARM);2022-07-09

5. Formant set as a main parameter for recognizing vowels of the Uzbek language;2021 International Conference on Information Science and Communications Technologies (ICISCT);2021-11-03

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