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Detecting rare events using extreme value statistics applied to epileptic convulsions in children.

, , , , , , , , and . Artif. Intell. Medicine, 60 (2): 89-96 (2014)

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Integrating video and accelerometer signals for nocturnal epileptic seizure detection., , , , , , , , , and . ICMI, page 161-164. ACM, (2012)Online detection of tonic-clonic seizures in pediatric patients using ECG and low-complexity incremental novelty detection., , , , , and . EMBC, page 5597-5600. IEEE, (2015)Detection of epileptic convulsions from accelerometry signals through machine learning approach., , , , , , and . MLSP, page 1-6. IEEE, (2014)Automatic Video Detection of Nocturnal Epileptic Movement based on Motion Tracks., , , , , , , and . BIOSIGNALS, page 342-345. SciTePress, (2012)Semi-Supervised One-Class Transfer Learning for Heart Rate Based Epileptic Seizure Detection., , , , , and . CinC, www.cinc.org, (2017)Feature selection methods for accelerometry-based seizure detection in children., , , , , , , and . Medical Biol. Eng. Comput., 55 (1): 151-165 (2017)Accelerometry-Based Home Monitoring for Detection of Nocturnal Hypermotor Seizures Based on Novelty Detection., , , , , , , , , and 1 other author(s). IEEE J. Biomed. Health Informatics, 18 (3): 1026-1033 (2014)Detecting rare events using extreme value statistics applied to epileptic convulsions in children., , , , , , , , and . Artif. Intell. Medicine, 60 (2): 89-96 (2014)Estimation of the Maximal Heart Rate to Improve Online Tonic-Clonic Seizure Detection using ECG., , , , , , and . CinC, page 977-980. www.cinc.org, (2015)Comparison and combination of electrocardiogram, electromyogram and accelerometry for tonic-clonic seizure detection in children., , , , , and . BHI, page 438-441. IEEE, (2018)