Abstract: Highlights•A novel DL network for seizure-type classification, consisting of CNN and Bi-LSTM•The proposed MP-SeizNet was trained on different representations of EEG data.•MP-SeizNet uses wavelet-based features and raw signals for seizure-type classification•The achieved F1-scores are 87.6% across patients and 98.1% across seizures, using TUSZ 1.5.2.
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