Alzheimer's disease (AD) is a degenerative brain disease with a high and irreversible
incidence. In recent years, because brain signals have complex nonlinear dynamics, there …

Dementia diseases are increasing rapidly, according to the World Health Organization
(WHO), becoming an alarming problem for the health sector. The electroencephalogram …

Electroencephalography (EEG) signal analysis is a fast, inexpensive, and accessible
technique to detect the early stages of dementia, such as Mild Cognitive Impairment (MCI) …

Mild cognitive impairment (MCI) can be an indicator representing the early stage of
Alzheimier's disease (AD). AD, which is the most common form of dementia, is a major …

Mild cognitive impairment (MCI) is an irreparable progressive neuro-degenerative disorder,
which seems to be a precursor to Alzheimer's disease (AD) that may lead to dementia in …

Detecting mild cognitive impairment (MCI) from electroencephalography (EEG) data is a
challenging problem as existing methods rely on machine learning based shallow …

Background: Alzheimer's disease (AD) is one of the most common neurodegenerative
disorder. As the incidence of AD is rapidly increasing worldwide, detecting it at an early …

The efficient detection of neurological abnormalities (disorders) is very important in clinical
diagnosis for modern medical applications. As stated by the World Health Organization's …

Background Adolescence is a crucial chapter in life and the presence of stress, depression,
and anxiety at this stage is a great concern. Prolonged stress is one of the risk factors that …

For automatic EEG diagnosis, this paper presents a new EEG data set with well-organized
clinical annotations called Chung-Ang University Hospital EEG (CAUEEG), which has event …