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Open AccessFeature PaperArticle

Online EEG Seizure Detection and Localization

Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, NE 68588-0511, USA
Department of Neurology, School of Medicine, Creighton University, Omaha, NE 68178, USA
Author to whom correspondence should be addressed.
Algorithms 2019, 12(9), 176;
Received: 8 July 2019 / Revised: 19 August 2019 / Accepted: 21 August 2019 / Published: 23 August 2019
Epilepsy is one of the three most prevalent neurological disorders. A significant proportion of patients suffering from epilepsy can be effectively treated if their seizures are detected in a timely manner. However, detection of most seizures requires the attention of trained neurologists—a scarce resource. Therefore, there is a need for an automatic seizure detection capability. A tunable non-patient-specific, non-seizure-specific method is proposed to detect the presence and locality of a seizure using electroencephalography (EEG) signals. This multifaceted computational approach is based on a network model of the brain and a distance metric based on the spectral profiles of EEG signals. This computationally time-efficient and cost-effective automated epileptic seizure detection algorithm has a median latency of 8 s, a median sensitivity of 83%, and a median false alarm rate of 2.9%. Hence, it is capable of being used in portable EEG devices to aid in the process of detecting and monitoring epileptic patients. View Full-Text
Keywords: EEG; seizure; epilepsy; on-line detection; non-patient-specific; network analysis; PSD EEG; seizure; epilepsy; on-line detection; non-patient-specific; network analysis; PSD
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Mansouri, A.; Singh, S.P.; Sayood, K. Online EEG Seizure Detection and Localization. Algorithms 2019, 12, 176.

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