Epilepsy is a chronic neurological disorder of the brain that affects around 50 million people
worldwide. The early detection of epileptic seizures using electroencephalogram (EEG) …

This study proposes a method of automatic detection of epileptic seizure event and onset
using wavelet based features and certain statistical features without wavelet decomposition …

Epilepsy is one of the grave neurological ailments affecting approximately 70 million people
globally. Detection of epileptic attack is commonly carried out by viewing and analysing long …

Epilepsy is a nervous system disorder. Encephalography (EEG) is a generally utilized
clinical approach for recording electrical activity in the brain. Although there are a number of …

Epilepsy is a brain disorder that affects about 1% of the population in the world. Seizure
detection is an important component in both the diagnosis of epilepsy and seizure control. In …

The ability to accurately and robustly detect seizures in an ambulatory setting using scalp-
based EEG has been the focus of much research over the last several decades. However, its …

The proliferation of Internet-of-Things (IoT) has led to the generation of zettabytes of
sensitive data each year. The generated data are usually raw, requiring cloud resources for …

This paper presents a novel systematic approach for patient-specific classification of long-
term Electroencephalography (EEG). The goal is to extract the seizure sections with a high …

Background Epileptic seizures are unpredictable in nature and its quick detection is
important for immediate treatment of patients. In last few decades researchers have …

This paper presents a novel method for seizure onset detection using fused information
extracted from multichannel electroencephalogram (EEG) and single-channel …