Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy.
By S. Ramgopal, Sigride Thome-Souza, M. Jackson, N. E. Kadish, I. Sánchez Fernández, Jacquelyn Klehm, W. Bosl, C. Reinsberger, S. Schachter, T. Loddenkemper. Epilepsy & Behavior, 2014
485 citations recorded by the source corpus.
Nearly one-third of patients with epilepsy continue to have seizures despite optimal medication management. Systems employed to detect seizures may have the potential to improve outcomes in these patients by allowing more tailored therapies and might, additionally, have a role in accident and SUDEP prevention. Automated seizure detection and prediction require algorithms which employ feature computation and subsequent classification. Over the last few decades, methods have been developed to detect seizures utilizing scalp and intracranial EEG, electrocardiography, accelerometry and motion sensors, electrodermal activity, and audio/video captures. To date, it is unclear which combination of detection technologies yields the best results, and approaches may ultimately need to be individualized. This review presents an overview of seizure detection and related prediction methods and discusses their potential uses in closed-loop warning systems in epilepsy.
Subfields: Cognitive Neuroscience, Psychiatry and Mental health
View Paper: https://www.semanticscholar.org/paper/6a6f154c4be46b9a24351615a0b4f406bf57d369
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In Cognitive Neuroscience
In Psychiatry and Mental health
Citations in the corpus
- A review of epileptic seizure detection using machine learning classifiers (2020, background): “Extensive literature is available covering the deep analysis of different features and classifiers applied on EEG datasets for seizure detection [31, 34, 35].”
- Near-Real-Time Epileptic Seizure Detection with Reduced EEG Electrodes: A BiLSTM-Wavelet Approach on the EPILEPSIAE Dataset (2026, unknown): “Despite advances in pharmacological and surgical treatments, nearly 30% of patients remain drug-resistant and continue to experience unpredictable seizures [3].”