Today's hospitals make use of state-of-the-art methods such as magnetic resonance
imaging (MRI) and electroencephalogram (EEG) signal predictions in order to predict the …

Seizure episodes are frequently observed for adults and children suffering from medically
refractory epilepsy and the events remain debilitating unless treated with a more …

Brain signals based on electroencephalogram (EEG) data have been the subject of
research in many areas recently. The processing of EEG data is a difficult task to do …

INTRODUCTION: Epilepsy denotes a disorder of neurological origin marked by repetitive
and spontaneous seizures without any apparent trigger. Seizures occur due to abrupt and …

Electroencephalogram (EEG) is one of the most commonly used tools for epilepsy detection.
In this paper we have presented two methods for the diagnosis of epilepsy using machine …

This paper is designed to use Machine Learning Techniques on real-time EEG signals for
predicting epileptic seizures. Effective and accurate seizure prediction systems can help …

Epilepsy is a chronic condition in which brain function becomes abnormal, resulting in
seizures or short periods of strange behaviour, sensations, and even loss of awareness …

The fourth widespread neurological illness is epilepsy. It is a serious illness affecting
millions every year and because of this reason seizure detection has become an important …

An analysis of many IoT deployments showed that most of them can address the
Sustainable Development Goals (SDG) and the UN's 2030 agenda. Interestingly, most of …

Epilepsy is a neurological disease where nearly fifty million people are affected all around
the world. EEG plays a critical role in monitoring the brain activity of patients with epilepsy …