In this paper, seizure activities of EEG signals have been detected exploiting 1-D
convolutional neural network architecture of deep learning algorithm. In past some years …

Epilepsy is one of the chronic neural conditions branded by an excessive and uncontrolled
electrical explosion in the brain; it appears as seizures. This anomaly affects almost 1 …

Deep learning for the automated detection of epileptic seizures has received much attention
during recent years. In this work, one dimensional convolutional neural network (1D-CNN) …

In this paper, a software-based neural network is developed for the purpose of detecting
seizures from raw EEG signals. Detecting epileptic seizures manually is a long tedious …

Neural networks and deep learning has gained much attention in the recent years in the
medical field. Recent improvements in deep learning has led to computer-aided analysis of …

Epilepsy is a common chronic brain disease caused by abnormal neuronal activity and the
occurrence of sudden or transient seizures. Electroencephalogram (EEG) is a non-invasive …

Epilepsy is a common neurological disease that uses electroencephalogram (EEG) data for
its detection purpose. Neurologists make the diagnosis by visual inspection of EEG reports …

The manual review of an electroencephalogram (EEG) for seizure detection is a laborious
and error-prone process. Thus, automated seizure detection based on machine learning has …

Epilepsy is a neurological disorder that affects the normal functioning of the brain. More than
10% of the population across the globe is affected by this disorder. Electroencephalogram …

Using an intelligent method to automatically detect epileptic seizures in medical applications
is one of the most important challenges in recent years to reduce the workload of doctors in …