New Algorithm Predicts Epileptic Seizures Using Two EEG Channels
A new patient-specific algorithm uses two EEG channels and cepstrum analysis to predict epileptic seizures with high accuracy and low ...
A new patient-specific algorithm uses two EEG channels and cepstrum analysis to predict epileptic seizures with high accuracy and low ...
A new review maps how artificial intelligence is transforming epilepsy diagnosis, seizure prediction, personalized treatment and long-term management, while warning ...
Researchers report that brain network dynamics explored a narrowed feature space in the minutes before epileptic seizures, a signal they ...
A neural architecture search framework called CMS-NAS automatically evolves hybrid convolutional, Mamba and spiking network designs for lightweight, accurate EEG-based ...
A new closed-loop framework embeds real-time EEG quality assessment inside a Mamba-BiLSTM seizure predictor, gating intervention confidence and outperforming cross-patient ...
In a groundbreaking study led by researchers Hasnaoui and Djebbari, the potential of postictal electroencephalography (EEG) in predicting seizure recurrence ...
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