Systematic review on resting‐state EEG for Alzheimer's disease diagnosis and progression assessment
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 …
the more than 46 million dementia cases estimated worldwide. Although there is no cure for …
Methods for classifying depression in single channel EEG using linear and nonlinear signal analysis
M Bachmann, L Päeske, K Kalev, K Aarma… - Computer methods and …, 2018 - Elsevier
Abstract Background and Objective Depressive disorder is one of the leading causes of
burden of disease today and it is presumed to take the first place in the world in 2030. Early …
burden of disease today and it is presumed to take the first place in the world in 2030. Early …
Predicting Alzheimer's disease CSF core biomarkers: a multimodal Machine Learning approach
AM Gaeta, M Quijada-López, F Barbé… - Frontiers in Aging …, 2024 - frontiersin.org
Introduction Alzheimer's disease (AD) is a progressive neurodegenerative disorder. Current
core cerebrospinal fluid (CSF) AD biomarkers, widely employed for diagnosis, require a …
core cerebrospinal fluid (CSF) AD biomarkers, widely employed for diagnosis, require a …
STEADYNet: spatiotemporal EEG analysis for dementia detection using convolutional neural network
Dementia is a neuro-degenerative disorder with a high death rate, mainly due to high
human error, time, and cost of the current clinical diagnostic techniques. The existing …
human error, time, and cost of the current clinical diagnostic techniques. The existing …
Quantile graphs for EEG-based diagnosis of Alzheimer's disease
AM Pineda, FM Ramos, LE Betting… - Plos one, 2020 - journals.plos.org
Known as a degenerative and progressive dementia, Alzheimer's disease (AD) affects about
25 million elderly people around the world. This illness results in a decrease in the …
25 million elderly people around the world. This illness results in a decrease in the …
Characterising Alzheimer's disease with EEG-based energy landscape analysis
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases, with
around 50 million patients worldwide. Accessible and non-invasive methods of diagnosing …
around 50 million patients worldwide. Accessible and non-invasive methods of diagnosing …
Leadnet: detection of alzheimer's disease using spatiotemporal eeg analysis and low-complexity cnn
Clinical methods for dementia detection are expensive and prone to human errors. Despite
various computer-aided methods using electroencephalography (EEG) signals and artificial …
various computer-aided methods using electroencephalography (EEG) signals and artificial …
Classification among healthy, mild cognitive impairment and Alzheimer's disease subjects based on wavelet entropy and relative beta and theta power
JE Santos Toural, A Montoya Pedrón… - Pattern Analysis and …, 2021 - Springer
Diagnosis of Alzheimer's disease (AD), mild cognitive impairment (MCI), and healthy
subjects (Healthy) is currently lacking an automated tool. It requires experience of …
subjects (Healthy) is currently lacking an automated tool. It requires experience of …
Electroencephalography-based classification of Alzheimer's disease spectrum during computer-based cognitive testing
Alzheimer's disease (AD) is a progressive disease leading to cognitive decline, and to
prevent it, researchers seek to diagnose mild cognitive impairment (MCI) early. Particularly …
prevent it, researchers seek to diagnose mild cognitive impairment (MCI) early. Particularly …
Supporting the detection of early Alzheimer's disease with a four-channel EEG analysis
E Perez-Valero, C Morillas… - … Journal of Neural …, 2023 - World Scientific
Alzheimer's disease (AD) is the most prevalent form of dementia. Although there is no
current cure, medical treatment can help to control its progression. Hence, early-stage …
current cure, medical treatment can help to control its progression. Hence, early-stage …