A Single-Trial P300 Detector Based on Symbolized EEG and Autoencoded-(1D)CNN to Improve ITR Performance in BCIs

In this paper, we propose a breakthrough single-trial P300 detector that maximizes the information translate rate (ITR) of the brain–computer interface (BCI), keeping high recognition accuracy performance. The architecture, designed to improve the portability of the algorithm, demonstrated full impl...

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Bibliographic Details
Published in:	Sensors
Main Authors:	Daniela De Venuto, Giovanni Mezzina
Format:	Article
Language:	English
Published:	MDPI AG 2021-06-01
Subjects:	brain–computer interface (BCI) P300 single-trial detection autoencoder CNN
Online Access:	https://www.mdpi.com/1424-8220/21/12/3961

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