Early detection and proper treatment of epilepsy is essential and meaningful to those who
suffer from this disease. The adoption of deep learning (DL) techniques for automated …

To identify epilepsy, Electroencephalography (EEG) is an important and common tool used
to study the electrical activity of the human brain. The machine learning-based classifier is …

The human brain plays a significant role in controlling the behavior of the human body with
respect to sensory stimuli, external/internal motor stimuli, and so on. EEG signals are …

Automated labelling of epileptic seizures on electroencephalograms is an essential
interdisciplinary task of diagnostics. Traditional machine learning approaches operate in a …

The Internet of Things (IoT) is capable of controlling the healthcare monitoring system for
remote-based patients. Epilepsy, a chronic brain syndrome characterized by recurrent …

Brain Epilepsy seizure is a critical disorder, which is an uncontrolled burst of electrical
activity of brain. The early detection of brain seizure can save the life of humans. The …

The study provides a description of electroencephalography (EEG) advancements and their
application in diagnosing and assessing various neurological diseases over the previous …

Congenital heart disease (CHD) is a critical global public health concern, particularly when it
comes to newborn mortality. Low-and middle-income countries face the highest mortality …

Among people who suffer from epilepsy, seizure detection is crucial to improving their
wellbeing. Through the integration of sophisticated feature selection and a reliable …

Professional medical experts use a visual electroencephalography (EEG) signal for epileptic
seizure detection, although this method is time‐consuming and highly subject to bias. The …