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: | Jailani, R (Author), Kumar, JLM (Author), Majeed, APPA (Author), Musa, RM (Author), Rashid, M (Author), Razman, MAM (Author), Sulaiman, N (Author) |
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Format: | Article |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | View Fulltext in Publisher |
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