Eeg-based alzheimer's disease recognition using robust-pca and lstm recurrent neural network
M Alessandrini, G Biagetti, P Crippa, L Falaschetti… - Sensors, 2022 - mdpi.com
The use of electroencephalography (EEG) has recently grown as a means to diagnose
neurodegenerative pathologies such as Alzheimer's disease (AD). AD recognition can …
neurodegenerative pathologies such as Alzheimer's disease (AD). AD recognition can …
EEG signal processing and supervised machine learning to early diagnose Alzheimer's disease
D Pirrone, E Weitschek, P Di Paolo, S De Salvo… - Applied sciences, 2022 - mdpi.com
Electroencephalography (EEG) signal analysis is a fast, inexpensive, and accessible
technique to detect the early stages of dementia, such as Mild Cognitive Impairment (MCI) …
technique to detect the early stages of dementia, such as Mild Cognitive Impairment (MCI) …
Combining EEG signal processing with supervised methods for Alzheimer's patients classification
Abstract Background Alzheimer's Disease (AD) is a neurodegenaritive disorder
characterized by a progressive dementia, for which actually no cure is known. An early …
characterized by a progressive dementia, for which actually no cure is known. An early …
Recurrent neural network-based approach for early recognition of Alzheimer's disease in EEG
AA Petrosian, DV Prokhorov, W Lajara-Nanson… - Clinical …, 2001 - Elsevier
Objective: We explored the ability of specifically designed and trained recurrent neural
networks (RNNs), combined with wavelet preprocessing, to discriminate between the …
networks (RNNs), combined with wavelet preprocessing, to discriminate between the …
Efficient deep neural networks for classification of Alzheimer's disease and mild cognitive impairment from scalp EEG recordings
The early diagnosis of subjects with mild cognitive impairment (MCI) is an effective
appliance of prognosis of Alzheimer's disease (AD). Electroencephalogram (EEG) has many …
appliance of prognosis of Alzheimer's disease (AD). Electroencephalogram (EEG) has many …
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 …
[HTML][HTML] A self-driven approach for multi-class discrimination in Alzheimer's disease based on wearable EEG
E Perez-Valero, MÁ Lopez-Gordo, CM Gutiérrez… - Computer Methods and …, 2022 - Elsevier
Early detection is critical to control Alzheimer's disease (AD) progression and postpone
cognitive decline. Traditional medical procedures such as magnetic resonance imaging are …
cognitive decline. Traditional medical procedures such as magnetic resonance imaging are …
DICE-net: a novel convolution-transformer architecture for Alzheimer detection in EEG signals
Objective: Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects
a significant percentage of the elderly. EEG has emerged as a promising tool for the timely …
a significant percentage of the elderly. EEG has emerged as a promising tool for the timely …
A convolutional neural network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings
A data-driven machine deep learning approach is proposed for differentiating subjects with
Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI) and Healthy Control (HC), by …
Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI) and Healthy Control (HC), by …
Smart-data-driven system for alzheimer disease detection through electroencephalographic signals
T Araújo, JP Teixeira, PM Rodrigues - Bioengineering, 2022 - mdpi.com
Background: Alzheimer's Disease (AD) stands out as one of the main causes of dementia
worldwide and it represents around 65% of all dementia cases, affecting mainly elderly …
worldwide and it represents around 65% of all dementia cases, affecting mainly elderly …