Seizure prediction: Time for new, multimodal and ultra-long-term approaches
Author:
Publisher
Elsevier BV
Subject
Physiology (medical),Neurology (clinical),Neurology,Sensory Systems
Reference17 articles.
1. Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic;Brinkmann;Front Neurol,2021
2. Wearable devices for seizure detection: Practical experiences and recommendations from the Wearables for Epilepsy And Research (WEAR) International Study Group;Bruno;Epilepsia,2021
3. Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study;Cook;Lancet Neurol,2013
4. Anticipating the unobserved: prediction of subclinical seizures;Feldwisch-Drentrup;Epilepsy Behav,2011
5. Forecasting cycles of seizure likelihood;Karoly;Epilepsia,2020
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1. The spectrum of indications for ultralong-term EEG monitoring;Seizure: European Journal of Epilepsy;2024-08
2. SeizNet: An AI-Enabled Implantable Sensor Network System for Seizure Prediction;2024 19th Wireless On-Demand Network Systems and Services Conference (WONS);2024-01-29
3. Cyclical underreporting of seizures in patient‐based seizure documentation;Annals of Clinical and Translational Neurology;2023-08-23
4. Importance of methodological choices in data manipulation for validating epileptic seizure detection models;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24
5. Pre-ictal fluctuation of EEG functional connectivity discriminates seizure phenotypes in mesial temporal lobe epilepsy;Clinical Neurophysiology;2023-07
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