Design of Fatigue Grade Classification System Based on Human Lower Limb Surface EMG Signal-Reference-Cited by-同舟云学术

Design of Fatigue Grade Classification System Based on Human Lower Limb Surface EMG Signal

Published:2022-08-07 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Mechatronics and Automation (ICMA)
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Author:

Zhao Kai¹,Guo Jian¹,Guo Shuxiang¹,Fu Qiang¹

Affiliation:

1. Tianjin University of Technology Binshui Xidao Extension 391,Tianjin Key Laboratory for Control Theory & Applications In Complicated systems and Intelligent Robot Laboratory,Tianjin,China,300384

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9855896/9855897/09855927.pdf?arnumber=9855927

Reference18 articles.

1. An intention-based online bilateral training system for upper limb motor rehabilitation

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3. Intent Prediction of Multi-axial Ankle Motion Using Limited EMG Signals

4. Leveraging ANN and LDA Classifiers for Characterizing Different Hand Movements Using EMG Signals

5. Prediction Method of Optical Cable Line Fault Probability Based on Improved KNN Algorithm

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