Diagnosis of schizophrenia (SZ) is traditionally performed through patient's interviews by a
skilled psychiatrist. This process is time-consuming, burdensome, subject to error and bias …

Background Fatigue is one of the important factors in traffic accidents. Hence, it is necessary
to devise methods to detect the fatigue and apply practical fatigue detection solutions for …

Traditionally, detection of epileptic seizures based on the visual inspection of neurologists is
tedious, laborious and subjective. To overcome such disadvantages, numerous seizure …

Presurgical investigations for categorizing focal patterns are crucial, leading to localization
and surgical removal of the epileptic focus. This paper presents a machine learning …

Epilepsy is a neurological disorder that leads to the occurrence of recurrent seizures. The
electroencephalogram (EEG) signal is commonly used to record the electrical functioning …

The design of a computer-aided system for identifying the seizure onset zone (SOZ) from
interictal and ictal electroencephalograms (EEGs) is desired by epileptologists. This study …

This study evaluates the use of multiscale signal analysis to detect and predict seizures by
finding the ictal and pre-ictal condition in electroencephalography (EEG) recordings. There …

Long‐term electroencephalography (EEG) monitoring is time‐consuming, and requires
experts to interpret EEG signals to detect seizures in patients. In this paper, we propose a …

Epilepsy is a neurological disorder which causes abnormal brain activity such as seizures.
Electroencephalogram (EEG) signals are recordings of the electrical activity of brain, which …

Epilepsy affects about 1% of the population every year, and is characterized by abnormal
and sudden hyper-synchronous excitation of the neurons in the brain. The …