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 …

Nonlinear dynamics and chaos theory have been used in neurophysiology with the aim to
understand the complex brain activity from electroencephalographic (EEG) signals …

This study addresses the problem of Alzheimer's disease (AD) diagnosis with
Electroencephalography (EEG). The use of EEG as a tool for AD diagnosis has been widely …

Using strategies that obtain biomarkers where early symptoms coincide, the early detection
of Alzheimer's disease and its complications is essential. Electroencephalogram is a …

Alzheimer's disease (AD) is a progressive disorder that affects cognitive brain functions and
starts many years before its clinical manifestations. A biomarker that provides a quantitative …

Biomarkers to detect Alzheimer's disease (AD) would enable patients to gain access to
appropriate services and may facilitate the development of new therapies. Given the large …

Alzheimer's disease (AD) is characterized by working memory (WM) failures that can be
assessed at early stages through administering clinical tests. Ecological neuroimaging, such …

Alzheimer's disease (AD) is the most common and fastest growing neurodegenerative
disorder of the brain due to dementia in old age people in Western countries. Detection and …

Alzheimer disease is one of the most common and fastest growing neurodegenerative
diseases in the western countries. Development of different biomarkers tools are key issues …

Alzheimer's disease (AD) and other forms of dementia are one of the major public health
and social challenges of our time because of the large number of people affected. Early …