Electroencephalography (EEG) is a complicated, non-stationary signal that requires
extensive preprocessing and feature extraction approaches to be accurately analyzed. In …

Electroencephalogram (EEG) is one of the most common methods used for seizure
detection as it records the electrical activity of the brain. Symmetry and asymmetry of EEG …

Depression is a common cause of increased suicides worldwide, and studies have shown
that the number of patients suffering from major depressive disorder (MDD) increased …

One of the most severe neurological conditions that abruptly changes a person's way of life
is epileptic seizures. Recent diagnostic approaches have concentrated on creating …

Neuromarketing relies on brain-computer interface technology to understand consumer
preferences for products and services. Marketers spend approximately 400 billion dollars …

Early diagnosis of epilepsy is crucial for patient survival and well-being, making it essential
to develop effective methods for early disease detection based on health parameters. This …

Epileptic seizures are a neurological disorder of the brain and a dangerous disease that can
cause death. Rapid diagnosis is required to help clinicians treat patients. For diagnosis, the …

Electroencephalography (EEG) plays a key role in the clinical evaluation of epilepsy and
provides strong support for treatment decisions. However, analyzing and decoding EEG …

Driving fatigue is very likely to cause traffic accidents, seriously threatening the lives and
properties of drivers. Therefore, accurate detection and effective mitigation of driving fatigue …

To solve the problem that traditional epileptic seizure detection methods are cumbersome
and prone to human errors, a hybrid model combining optimized feature convolutional …