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Estimation of the Maximal Heart Rate to Improve Online Tonic-Clonic Seizure Detection using ECG.

, , , , , , and . CinC, page 977-980. www.cinc.org, (2015)

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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)Semi-Supervised One-Class Transfer Learning for Heart Rate Based Epileptic Seizure Detection., , , , , and . CinC, www.cinc.org, (2017)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 Seizures Using Video Data., , , , and . Intelligent Environments, page 372-373. IEEE Computer Society, (2010)Detection of epileptic convulsions from accelerometry signals through machine learning approach., , , , , , and . MLSP, page 1-6. IEEE, (2014)Integrating video and accelerometer signals for nocturnal epileptic seizure detection., , , , , , , , , and . ICMI, page 161-164. ACM, (2012)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)Automatic Video Detection of Nocturnal Epileptic Movement based on Motion Tracks., , , , , , , and . BIOSIGNALS, page 342-345. SciTePress, (2012)Handling Unbalanced Data in Nocturnal Epileptic Seizure Detection using Accelerometers., , , , , , , , and . ICPRAM, page 447-452. SciTePress, (2013)