Adaptive Online Decomposition of Surface EMG Using Progressive FastICA Peel-off
Author:
Affiliation:
1. School of Microelectronics at University of Science and Technology of China, Hefei, Anhui, China
2. Faculty of Biomedical and Rehabilitation Engineering, University of Health and Rehabilitation Sciences, Qingdao, Shandong, China
Funder
National Natural Science Foundation of China
Anhui Provincial Key Research and Development Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx7/10/4359967/10313581.pdf?arnumber=10313581
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
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2. MetaBCI: An open-source platform for brain–computer interfaces;Computers in Biology and Medicine;2024-01
3. 2CFastICA: A Novel Method for High Density Surface EMG Decomposition Based on Kernel Constrained FastICA and Correlation Constrained FastICA;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024
4. A Robust Myoelectric Pattern Recognition Framework Based on Individual Motor Unit Activities Against Electrode Array Shifts;2024
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