Jitkomut Songsiri

This paper proposes a state-space model for estimating brain effective connectivity from EEG signals using Granger causality, showing improved performance over existing methods in simulated and real data.

ScoreNet improves seizure onset and offset detection in EEGs by using a neural network with a custom loss function, achieving higher F1 scores and lower false positive rates.

This paper compares ANN and CNN for seizure detection in EEG signals, finding ANN with dominant features achieves higher detection accuracy while CNN has better classification accuracy.