Genetic-based feature selection for efficient motion imaging of a brain–computer interface framework

Author:

Chang HongliORCID,Yang Jimin

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Cited by 17 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. EEG-Based Depression Recognition Using Time-Frequency Convolutional Networks;2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI);2023-10-28

2. Feature Engineering for an Efficient Motor Related EcoG BCI System;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

3. Machine learning techniques for electroencephalogram based brain-computer interface: A systematic literature review;Measurement: Sensors;2023-08

4. Genetic algorithm designed for optimization of neural network architectures for intracranial EEG recordings analysis;Journal of Neural Engineering;2023-06-01

5. Feature Engineering for an Efficient Motor Related EcoG BCI System;2023-04-02

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