The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline
Brain-Computer Interface technology plays a vital role in facilitating post-stroke patients' ability to carry out their daily activities of living. The extraction of features and the classification of electroencephalogram (EEG) signals are pertinent parts in enabling such a system. This researc...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |