Fig. 5 | Scientific Reports

Fig. 5

From: Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data

Fig. 5

(A) Total training duration in hours of each model used in the HOMI EEG. (B) Total duration of model classification on HOMI EEG. DCNN: deep convolutional neural network. CNN1: convolutional neural network 1. CNN3: convolutional neural network 3. RFC: random forest classifier. The RFC was trained with the combination of all calculated features (all), with the powerband feature calculation (Pband) and with the wavelets transform calculation.

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