An Intrinsically Explainable Method to Decode P300 Waveforms from EEG Signal Plots Based on Convolutional Neural Networks

This work proposes an intrinsically explainable, straightforward method to decode P300 waveforms from electroencephalography (EEG) signals, overcoming the black box nature of deep learning techniques. The proposed method allows convolutional neural networks to decode information from images, an area...

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Bibliographic Details

Published in:	Brain Sciences
Main Authors:	Brian Ezequiel Ail, Rodrigo Ramele, Juliana Gambini, Juan Miguel Santos
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	XAI BCI EEG P300 ALS waveform
Online Access:	https://www.mdpi.com/2076-3425/14/8/836