Abstract Background Advancements in Brain-Computer Interface (BCI) have led to the
development of various neuro-dysfunctional human assistive tools. Despite having various …

Mild cognitive impairment (MCI) conversion prediction is a vital challenge in the area of
Alzheimer's disease (AD) as it could determine possible treatment pathways for AD patients …

Alzheimer's disease has posed the greatest threat among all the different types of
neurodegenerative problems as it has assaulted humankind at quick pace than the others …

The occurrence and risk of recurrence of brain related injuries and diseases are difficult to
characterize due to various factors including inter-individual variability. A useful approach is …

Alzheimer's disease (AD) is the most prevalent brain disorder which affects millions of
people worldwide. Early detection is crucial for possible treatment. In this regard, machine …

Early detection of Alzheimer's disease (AD) is crucial for hastening the treatment process.
Disease detection can drop into AD, healthy controls (HC), and early mild cognitive …

Psychophysiological measures can be used to determine whether a particular display
produces a general difference in brain function. Such information might be valuable in efforts …

The electroencephalography (EEG) reflects the averaged electrical activity of large numbers
of cortical neurons associated with different neural information processing of brain regions …

A high availability of machines has always been important in production. One way to
increase it is to avoid unscheduled production stops by detecting the onset of machine faults …

A method for detecting real-time childhood absence epilepsy seizures on an Android
platform is presented. The approach is based on a power spectrum analysis of …