Abstract Modified Electric Convulsive Therapy (MECT) is an efficacious physical therapy in
treating mental disorders. The occurrence of epilepsy is a crucial benchmark for evaluating …

With the rapid innovation in the field of healthcare, various biomedical signals, namely,
electrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), play a …

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 …

Objective: Most studies in epileptic seizure detection and classification focused on
classifying different types of epileptic seizures. However, localization of the epileptogenic …

Epilepsy is a chronic neurological disorder that involves abnormal electrical signal patterns
of the brain called seizures. The brain's electrical signals can be recorded using an …

This work plans to propose the novel epileptic seizure detection using the Improved
Ensemble Learning Model (I-ELM). The proposed model focuses five different stages Pre …

While electroencephalography (EEG) is useful in monitoring and diagnosing epileptic
patients' brain activity, all EEG recordings must be analyzed by an expert to detect epileptic …

The seizure is an unexpected change in neurons, which leads to the second most common
disease of the brain called epilepsy. An automatic seizure detection technique is essential …

The main focus of this paper is to solve the nonlinear and non-stationary problems in
electroencephalographic (EEG) signals, which has been solved by the proposed method by …

Computer-aided seizure detection from the long-term EEG has shown great potential in
improving the epilepsy diagnosis accuracy and efficiency. This study was aimed to utilize …