An Intersubject Brain-Computer Interface Based on Domain-Adversarial Training of Convolutional Neural Network.
Journal:
IEEE transactions on bio-medical engineering
Published Date:
Sep 19, 2024
Abstract
OBJECTIVE: Attention decoding plays a vital role in daily life, where electroencephalography (EEG) has been widely involved. However, training a universally effective model for everyone is impractical due to substantial interindividual variability in EEG signals. To tackle the above challenge, we propose an end-to-end brain-computer interface (BCI) framework, including temporal and spatial one-dimensional (1D) convolutional neural network and domain-adversarial training strategy, namely DA-TSnet.