MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG. (arXiv:2211.04628v1 [eess.SP])

Seizure type identification is essential for the treatment and management of
epileptic patients. However, it is a difficult process known to be time
consuming and labor intensive. Automated diagnosis systems, with the
advancement of machine learning algorithms, have the potential to accelerate
the classification process, alert patients, and support physicians in making
quick and accurate decisions. In this paper, we present a novel multi-path
seizure-type classification deep learning network (MP-SeizNet), consisting of a
convolutional neural network (CNN) and a bidirectional …

arxiv bi-lstm classification cnn eeg lstm network path type