Diagnosis of Alzheimer's disease from EEG signals: where are we standing?

J Dauwels, F Vialatte, A Cichocki - Current Alzheimer Research, 2010 - ingentaconnect.com
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 …

Complexity analysis of EEG, MEG, and fMRI in mild cognitive impairment and Alzheimer's disease: a review

J Sun, B Wang, Y Niu, Y Tan, C Fan, N Zhang, J Xue… - Entropy, 2020 - mdpi.com
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 …

[HTML][HTML] Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals

SK Khare, UR Acharya - Knowledge-Based Systems, 2023 - Elsevier
Background: Alzheimer's disease (AZD) is a degenerative neurological condition that
causes dementia and leads the brain to atrophy. Although AZD cannot be cured, early …

Classification of focal and non focal EEG using entropies

N Arunkumar, K Ramkumar, V Venkatraman… - Pattern Recognition …, 2017 - Elsevier
Electroencephalogram (EEG) is the recording of the electrical activity of the brain which can
be used to identify different disease conditions. In the case of a partial epilepsy, some …

Application of entropy measures on intrinsic mode functions for the automated identification of focal electroencephalogram signals

R Sharma, RB Pachori, UR Acharya - Entropy, 2014 - mdpi.com
The brain is a complex structure made up of interconnected neurons, and its electrical
activities can be evaluated using electroencephalogram (EEG) signals. The characteristics …

EntropyHub: An open-source toolkit for entropic time series analysis

MW Flood, B Grimm - PloS one, 2021 - journals.plos.org
An increasing number of studies across many research fields from biomedical engineering
to finance are employing measures of entropy to quantify the regularity, variability or …

Entropy analysis of the EEG background activity in Alzheimer's disease patients

D Abásolo, R Hornero, P Espino… - Physiological …, 2006 - iopscience.iop.org
Alzheimer's disease (AD) is the most common neurodegenerative disorder. Although a
definite diagnosis is only possible by necropsy, a differential diagnosis with other types of …

Diagnosis of Alzheimer's disease with Electroencephalography in a differential framework

N Houmani, F Vialatte, E Gallego-Jutglà, G Dreyfus… - PloS one, 2018 - journals.plos.org
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 …

Complexity of EEG dynamics for early diagnosis of Alzheimer's disease using permutation entropy neuromarker

M Şeker, Y Özbek, G Yener, MS Özerdem - Computer Methods and …, 2021 - Elsevier
Background and objective Electroencephalogram (EEG) is one of the most demanded
screening tools that investigates the effects of Alzheimer's Disease (AD) on human brain …

Analysis of complexity in the EEG activity of Parkinson's disease patients by means of approximate entropy

C Pappalettera, F Miraglia, M Cotelli, PM Rossini… - GeroScience, 2022 - Springer
The objective of the present study is to explore the brain resting state differences between
Parkinson's disease (PD) patients and age-and gender-matched healthy controls (elderly) in …