The benefits of early detection and classification of epileptic seizures in analysis, monitoring
and diagnosis for the realization and actualization of computer-aided devices and recent …

A central nervous system disorder is usually referred to as epilepsy. In epilepsy brain activity
becomes abnormal, leading to times of abnormal behavior or seizures, and at times loss of …

Correctly interpreting an Electroencephalography (EEG) signal with high accuracy is a
tedious and time-consuming task that may take several years of manual training due to its …

Epilepsy, a neurological illness that causes repeated seizures, can interfere with everyday
life and needs prompt treatment. Internet of Things (IoT) wearable Electroencephalogram …

Epilepsy is a common non‐communicable, group of neurological disorders affecting more
than 50 million individuals worldwide. Different approaches of basic, clinical, and …

Focal and non-focal Electroencephalogram (EEG) signals have proved to be effective
techniques for identifying areas in the brain that are affected by epileptic seizures, known as …

In this paper a review and analysis were performed based on the Internet of Things (IoT) and
machine learning algorithms for the brain disease diagnosis and detection. This paper …

Epilepsy is a chronic neurological disorder that may be diagnosed and monitored using
routine diagnostic tests like Electroencephalography (EEG). However, manual introspection …

Epilepsy is a disease with various forms. However, limited dataset has confined
classification studies of epilepsy into binary classes only. This study sort to achieve …

Epilepsy is a neurological disorder characterized by recurrent, unprovoked seizures that
affects millions of people globally. The unpredictable nature of seizures in epilepsy …