The most common neurological brain issue is Alzheimer's disease, which can be diagnosed
using a variety of clinical methods. However, the electroencephalogram (EEG) is shown to …

Abstract Background and Objective: In this study we investigate whether or not event-related
potentials (ERP) and/or event-related (de) synchronization (ERD/ERS) can be used to …

Today, Alzheimer's disease (AD) diagnosis is carried out using subjective mental status
examinations assisted in research by scarce and expensive neuroimaging scans and …

There is no treatment that permanently cures Alzheimer's disease (AD); however, early
detection can alleviate the severe effects of the disease. To support early detection of the …

Introduction Despite the existence of numerous clinical techniques for identifying
neurological brain disorders in their early stages, Electroencephalogram (EEG) data shows …

Alzheimer disease is one of the forms of dementia. AD is tremendously increasing disease
in the world. There are so many biomarkers detect the Alzheimer disease. From that …

While several biomarkers have been developed for the detection of Alzheimer's disease
(AD), not many are available for the prediction of disease severity, particularly for patients in …

Owing to the shortages of inconvenience, expensive and high professional requirements
etc. for conventional recognition devices of wheat leaf diseases, it does not satisfy the …

Electroencephalograms (EEGs) have significant ability to measure the brain activity and
have huge potential for the analysis of the brain diseases like Alzheimer disease (AD). EEG …

Improvement in early Alzheimer's disease (AD) diagnosis using EEG, as a consequence of
advances in Machine Learning (ML) techniques, may be a valuable asset to physicians …