SincNet-Based Hybrid Neural Network for Motor Imagery EEG Decoding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3156076
Abstract: It is difficult to identify optimal cut-off frequencies for filters used with the common spatial pattern (CSP) method in motor imagery (MI)-based brain-computer interfaces (BCIs). Most current studies choose filter cut-frequencies based on experience or… read more here.
Keywords: neural network; sincnet based; eeg; hybrid neural ... See more keywords
EEG Emotion Classification Using an Improved SincNet-Based Deep Learning Model
Sign Up to like & getrecommendations! Published in 2019 at "Brain Sciences"
DOI: 10.3390/brainsci9110326
Abstract: Deep learning (DL) methods have been used increasingly widely, such as in the fields of speech and image recognition. However, how to design an appropriate DL model to accurately and efficiently classify electroencephalogram (EEG) signals… read more here.
Keywords: classification; eeg signals; sincnet; deep learning ... See more keywords