Exploring Motor Imagery Eeg Patterns for Stroke Patients with Deep Neural Networks
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8450881/8461260/08461525.pdf?arnumber=8461525
Cited by 21 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 hybrid method for asynchronous detection of motor imagery electroencephalogram fusing alpha rhythm and movement-related cortical potential;Measurement;2024-09
2. Avoidance of specific calibration sessions in motor intention recognition for exoskeleton-supported rehabilitation through transfer learning on EEG data;Scientific Reports;2024-07-19
3. Motor Behavior Regulation of Rat Robots Using Integrated Electrodes Stimulated by Micro-Nervous System;Micromachines;2024-04-28
4. Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain–computer interface;Journal of Neural Engineering;2024-01-17
5. Hilbert–Huang Transformation-based subject-specific time–frequency-space pattern optimization for motor imagery electroencephalogram classification;Measurement;2023-12
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