A Fast Brain Switch Based on Multi-Class Code-Modulated VEPs

To realize asynchronous control of a brain-computer interface (BCI) system, a fast brain switch with low false positive rate (FPR) is required. This paper proposed a brain switch based on code-modulated visual-evoked potential (c-VEP), in which seven 8-bit pseudorandom codes were used to modulate th...

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Bibliographic Details
Main Authors: Zheng, Li, Wang, Yijun, Pei, Weihua, Chen, Hongda
Format: Conference Proceeding
Language:English
Subjects:
Correlation
Correlation coefficient
Electroencephalography
Presses
Switches
Visualization
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Summary:To realize asynchronous control of a brain-computer interface (BCI) system, a fast brain switch with low false positive rate (FPR) is required. This paper proposed a brain switch based on code-modulated visual-evoked potential (c-VEP), in which seven 8-bit pseudorandom codes were used to modulate the electroencephalogram (EEG) signal. This study optimized and demonstrated the control strategy through an offline and an online experiments. By decoding the brain state continuously with the task-related component analysis (TRCA) algorithm, the brain switch achieved an average reaction time (RT) of 1.72 seconds and an average idle time of 183.53 seconds without false positive events in the online experiment.
ISSN:1558-4615
2694-0604
DOI:10.1109/EMBC.2019.8857617