Epileptic seizure suppression: a computational approach for identification and control using real data
João Angelo Ferres Brogin, Jean Faber, Selvin Z. Reyes-García, Ésper A. Cavalheiro, Douglas Bueno
This paper proposes an autoregressive modeling approach for identifying and controlling epileptic seizures using real data, showing effectiveness in attenuating seizures and driving signals to interictal stages.
PLoS ONE · Feb 28, 2024Peer-reviewedBioinformatics