Electroencephalography (EEG) is the signal of intrigue that has immense application in the
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …

Epilepsy is the only neurological condition for which electroencephalography (EEG) is the
primary diagnostic and important prognostic clinical tool. However, the manual inspection of …

Epilepsy, a brain disease generally associated with seizures, has tremendous effects on
people's quality of life. Diagnosis of epileptic seizures is commonly performed on …

Electroencephalogram (EEG) signals are non-linear and non-stationary in nature. The
phase-space representation (PSR) method is useful for analysing the non-linear …

Schizophrenia is a mental disorder that causes adverse effects on the mental capacity of a
person, emotional inclinations, and quality of personal and social life. The official statistics …

We present a multi-objective optimization method for electroencephalographic (EEG)
channel selection based on the non-dominated sorting genetic algorithm (NSGA) for …

Learning disability (LD), a neurodevelopmental disorder that has severely impacted the lives
of many children all over the world. LD refers to significant deficiency in children's reading …

Epilepsy is a neurological disorder that has severely affected many people's lives across the
world. Electroencephalogram (EEG) signals are used to characterize the brain's state and …

In this article, a new fusion scheme based on the Dempster-Shafer Evidence Theory (DSET)
is introduced for Epileptic Seizure Detection (ESD) in brain disorders. Firstly, various …

Automatic seizure detection using electroen-cephalogram (EEG) can significantly expedite
the diagnosis of epilepsy, thereby facilitating prompt treatment and reducing the risk of future …