Seizure event detection by manually analyzing electroencephalogram (EEG) data is a
routine process in epilepsy units done by trained professionals. Misdiagnosis of epileptic …

Misdiagnosis of epilepsy is more seen in manual analysis of electroencephalogram (EEG)
signals for epileptic seizure event detection. Therefore, automated systems for epilepsy …

The electroencephalograph (EEG) signals are most widely used for identification of
neurological diseases like epilepsy, Alzheimer's, and other brain diseases. Detection of …

Epilepsy is one of the most predominant disorders of neurology that affects the overall
population, especially the people living in developing countries. The hospitals and …

Poverty and lack of health awareness are major reasons for illnesses, particularly neurology-
related problems in India. Epilepsy is one such problem that affects the brain by causing …

The progress of Artificial Intelligence (AI) has been the most remarkable in the 21st Century.
However, how far AI must have gone, it works in healthcare remains a big challenge for …

Accurate real-time detection of epileptic seizures carries paramount importance with far
reaching ramifications for epileptic patients to get timely and proper medical interventions …

An electroencephalogram (EEG) is a record of the electric signal generated by the
cooperative action of brain cells, that is, the time course of extracellular field potentials …

Epilepsy is a chronic neurological disease that causes recurrent life-threatening seizures
due to irregular brain activity. The purpose of seizure detection algorithms is to detect …

Epilepsy is one of the most common complex brain disorders which is a chronic non-
communicable disease caused by paroxysmal abnormal super-synchronous electrical …