Purpose Quality of life of patients with epilepsy depends largely upon unpredictability of
seizure occurrence and would improve by predicting seizures or at least by detecting …

Seizure detection is a routine process in epilepsy units requiring manual intervention of well-
trained specialists. This process could be extensive, inefficient and time-consuming …

Objective Automatic detection of epileptic seizures based on deep learning methods
received much attention last year. However, the potential of deep neural networks in seizure …

The ability to accurately and robustly detect seizures in an ambulatory setting using scalp-
based EEG has been the focus of much research over the last several decades. However, its …

Objective A method for automatic detection of epileptic seizures in long-term scalp-EEG
recordings called EpiScan will be presented. EpiScan is used as alarm device to notify …

Electroencephalography is one of the most commonly used methods for extracting
information about the brain's condition and can be used for diagnosing epilepsy. The EEG …

An important problem in the use of automatic seizure detection during long-term epilepsy
monitoring is that false detections can be very frequent, often because a paroxysmal but non …

In this paper a seizure detector using EEG and ECG signals, as a module of a healthcare
system, is presented. Specifically, the module is based on short-time analysis with time …

Scalp electroencephalography (EEG)–based seizure‐detection algorithms applied in a
clinical setting should detect a broad range of different seizures with high sensitivity and …

In the last two decades new noninvasive mobile electroencephalography (EEG) solutions
have been developed to overcome limitations of conventional clinical EEG and to improve …