The early detection and classification of dementia are important clinical support tasks for
medical practitioners in customizing patient treatment programs to better manage the …

The focal and non-focal epilepsy is seen to be a chronic neurological brain disorder, which
has affected million people in the world. Hence, an early detection of the focal epileptic …

We performed a comparative study to select the efficient mother wavelet (MWT) basis
functions that optimally represent the signal characteristics of the electrical activity of the …

Stroke survivors are more prone to developing cognitive impairment and dementia.
Dementia detection is a challenge for supporting personalized healthcare. This study …

Characterizing dementia is a global challenge in supporting personalized health care. The
electroencephalogram (EEG) is a promising tool to support the diagnosis and evaluation of …

Electroencephalogram (EEG) is an economical and convenient auxiliary test to aid in the
diagnosis and analysis of brain-related neurological diseases. In recent years, machine …

Epilepsy is one of the dreaded conditions that had taken billions of people under its cloud
worldwide. Detecting the seizure at the correct time in an individual is something that …

Electroencephalography (EEG) is perhaps the most widely used brain-imaging technique for
pediatric populations. However, EEG signals are prone to distortion by motion. Compared to …

This study introduces an electroencephalography (EEG)-based dataset to analyze lie
detection. Various analyses or detections can be performed using EEG signals. Lie …

Epilepsy is classified as one of the three most prevalent neurological disorders, alongside
strokes and migraines. It is characterized by the occurrence of epileptic seizures that can be …