Alzheimer's disease (AD) is a neurodegenerative disorder that accounts for nearly 70% of
the more than 46 million dementia cases estimated worldwide. Although there is no cure for …

Exploring EEG alpha oscillations has generated considerable interest, in particular with
regards to the role they play in cognitive, psychomotor, psycho-emotional and physiological …

Alzheimer's Disease (AD) is a neurodegenerative disorder and the most common type of
dementia with a great prevalence in western countries. The diagnosis of AD and its …

Objective In many decision support systems, some input features can be marginal or
irrelevant to the diagnosis, while others can be redundant among each other. Thus, feature …

Changes in electroencephalography (EEG) amplitude modulations have recently been
linked with early-stage Alzheimer's disease (AD). Existing tools available to perform such …

Over the last decade, electroencephalography (EEG) has emerged as a reliable tool for the
diagnosis of cortical disorders such as Alzheimer's disease (AD). EEG signals, however, are …

In this paper, we review state-of-the-art approaches that apply signal processing (SP) and
machine learning (ML) to automate the detection of Alzheimer's disease (AD) and its …

Over the last two decades, electroencephalography (EEG) has emerged as a reliable tool for
the diagnosis of cortical disorders such as Alzheimer's disease (AD). Typically, resting-state …

Background and objective Eyes-closed-awake electroencephalogram (EEG) is a useful tool
in the diagnosis of Alzheimer's. However, there is eyes-closed-awake EEG with dominant or …

There is recent indication that Alzheimer's disease (AD) can be characterized by atypical
modulation of electrophysiological brain activity caused by fibrillar amyloid deposition in …