Systematic review on resting‐state EEG for Alzheimer's disease diagnosis and progression assessment

R Cassani, M Estarellas, R San-Martin… - Disease …, 2018 - Wiley Online Library
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 …

Impact of eeg parameters detecting dementia diseases: A systematic review

LM Sánchez-Reyes, J Rodríguez-Reséndiz… - IEEE …, 2021 - ieeexplore.ieee.org
Dementia diseases are increasing rapidly, according to the World Health Organization
(WHO), becoming an alarming problem for the health sector. The electroencephalogram …

Classification of mild cognitive impairment based on handwriting dynamics and qEEG

J Chai, R Wu, A Li, C Xue, Y Qiang, J Zhao… - Computers in biology …, 2023 - Elsevier
Subtle changes in fine motor control and quantitative electroencephalography (qEEG) in
patients with mild cognitive impairment (MCI) are important in screening for early dementia …

Extracting salient features for EEG-based diagnosis of Alzheimer's disease using support vector machine classifier

NN Kulkarni, VK Bairagi - IETE Journal of Research, 2017 - Taylor & Francis
Alzheimer's disease (AD) is one of the most common and fastest growing
neurodegenerative diseases in the western countries. Development of different biomarkers …

A new dispersion entropy and fuzzy logic system methodology for automated classification of dementia stages using electroencephalograms

JP Amezquita-Sanchez, N Mammone… - Clinical Neurology and …, 2021 - Elsevier
A new EEG-based methodology is presented for differential diagnosis of the Alzheimer's
disease (AD), Mild Cognitive Impairment (MCI), and healthy subjects employing the discrete …

Brain MR image classification for Alzheimer's disease diagnosis based on multifeature fusion

Z Xiao, Y Ding, T Lan, C Zhang… - … methods in medicine, 2017 - Wiley Online Library
We propose a novel classification framework to precisely identify individuals with
Alzheimer's disease (AD) or mild cognitive impairment (MCI) from normal controls (NC). The …

An integrated MCI detection framework based on spectral-temporal analysis

J Yin, J Cao, S Siuly, H Wang - International Journal of Automation and …, 2019 - Springer
Aiming to differentiate between mild cognitive impairment (MCI) patients and elderly control
subjects, this study proposes an integrated framework based on spectral-temporal analysis …

EEG signal analysis for early diagnosis of Alzheimer disease using spectral and wavelet based features

V Bairagi - International Journal of Information Technology, 2018 - Springer
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 …

Feasibility of repeated assessment of cognitive function in older adults using a wireless, mobile, dry-EEG headset and tablet-based games

EC McWilliams, FM Barbey, JF Dyer, MN Islam… - Frontiers in …, 2021 - frontiersin.org
Access to affordable, objective and scalable biomarkers of brain function is needed to
transform the healthcare burden of neuropsychiatric and neurodegenerative disease …

VRNPT: A neuropsychological test tool for diagnosing mild cognitive impairment using virtual reality and EEG signals

C Xue, A Li, R Wu, J Chai, Y Qiang… - International Journal of …, 2024 - Taylor & Francis
Mild cognitive impairment is associated with many neurodegenerative diseases. It is
essential to detect mild cognitive impairment on time to reduce the prevalence of such …