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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 artifact detection and removal from scalp EEG: A review
Electroencephalography (EEG) is the most popular brain activity recording technique used
in wide range of applications. One of the commonly faced problems in EEG recordings is the …
in wide range of applications. One of the commonly faced problems in EEG recordings is the …
Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts
Alzheimer's disease (AD) is the most common neurodegenerative disease among the
elderly with a progressive decline in cognitive function significantly affecting quality of life …
elderly with a progressive decline in cognitive function significantly affecting quality of life …
Opportunities and methodological challenges in EEG and MEG resting state functional brain network research
Electroencephalogram (EEG) and magnetoencephalogram (MEG) recordings during resting
state are increasingly used to study functional connectivity and network topology. Moreover …
state are increasingly used to study functional connectivity and network topology. Moreover …
Identification and removal of physiological artifacts from electroencephalogram signals: A review
Electroencephalogram (EEG), boasting the advantages of portability, low cost, and
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …
Ocular artifact elimination from electroencephalography signals: A systematic review
Electroencephalography (EEG) is the signal of intrigue that has immense application in the
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …
Exploring rhythms and channels-based EEG biomarkers for early detection of alzheimer's disease
There is no treatment that permanently cures Alzheimer's disease (AD); however, early
detection can alleviate the severe effects of the disease. To support early detection of the …
detection can alleviate the severe effects of the disease. To support early detection of the …
Machine learning algorithms and statistical approaches for Alzheimer's disease analysis based on resting-state EEG recordings: A systematic review
Alzheimer's Disease (AD) is a neurodegenerative disorder and the most common type of
dementia with a great prevalence in western countries. The diagnosis of AD and its …
dementia with a great prevalence in western countries. The diagnosis of AD and its …
Using CNN Saliency Maps and EEG Modulation Spectra for Improved and More Interpretable Machine Learning‐Based Alzheimer's Disease Diagnosis
Biomarkers based on resting‐state electroencephalography (EEG) signals have emerged as
a promising tool in the study of Alzheimer's disease (AD). Recently, a state‐of‐the‐art …
a promising tool in the study of Alzheimer's disease (AD). Recently, a state‐of‐the‐art …
Extracting salient features for EEG-based diagnosis of Alzheimer's disease using support vector machine classifier
Alzheimer's disease (AD) is one of the most common and fastest growing
neurodegenerative diseases in the western countries. Development of different biomarkers …
neurodegenerative diseases in the western countries. Development of different biomarkers …