Steady-State Visual Evoked Potential Classification Using Complex Valued Convolutional Neural Networks
The steady-state visual evoked potential (SSVEP), which is a kind of event-related potential in electroencephalograms (EEGs), has been applied to brain–computer interfaces (BCIs). SSVEP-based BCIs currently perform the best in terms of information transfer rate (ITR) among various BCI implementation...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/16/5309 |