Current state-of-the-art diagnostic measures of Alzheimer's disease (AD) are invasive
(cerebrospinal fluid analysis), expensive (neuroimaging) and time-consuming …

This paper reviews recent progress in the diagnosis of Alzheimer's disease (AD) from
electroencephalograms (EEG). Three major effects of AD on EEG have been observed …

It is well known that EEG signals of Alzheimer's disease (AD) patients are generally less
synchronous than in age-matched control subjects. However, this effect is not always easily …

This review systematically explores the application of transformer-based models in EEG
signal processing and brain-computer interface (BCI) development, with a distinct focus on …

Introduction Artificial intelligence (AI) and neuroimaging offer new opportunities for
diagnosis and prognosis of dementia. Methods We systematically reviewed studies …

Medical studies have shown that EEG of Alzheimer′ s disease (AD) patients is “slower”(ie,
contains more low‐frequency power) and is less complex compared to age‐matched …

Electroencephalogram (EEG) is a technique for recording the asynchronous activation of
neuronal firing inside the brain with non-invasive scalp electrodes. Artifacts, such as eye …

This paper presents an automatic method for finding optimal channels in Brain Computer
Interfaces (BCIs). Detecting the effective channels in BCI systems is an important problem in …

There is not a specific test to diagnose Alzheimer's disease (AD). Its diagnosis should be
based upon clinical history, neuropsychological and laboratory tests, neuroimaging and …

The second leading cause of death and one of the most common causes of disability in the
world is stroke. Researchers have found that brain–computer interface (BCI) techniques can …