A systematic review and methodological analysis of EEG-based biomarkers of Alzheimer's disease
Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders in the
world. Although there is no known cure for it at the present, preventive drug trials and …
world. Although there is no known cure for it at the present, preventive drug trials and …
Early diagnosis of Alzheimer's disease and mild cognitive impairment based on electroencephalography: from the perspective of event related potentials and deep …
C Wang, T Xu, W Yu, T Li, H Han, M Zhang… - International Journal of …, 2022 - Elsevier
Abstract Alzheimer's disease (AD), a neurodegenerative disorder characterized by
progressive cognitive decline, is generally prevalent in elderly people with significant …
progressive cognitive decline, is generally prevalent in elderly people with significant …
Automatic detection of Alzheimer's disease from EEG signals using low-complexity orthogonal wavelet filter banks
Background: Alzheimer's disease (AD) is one of the most common neurodegenerative
disorder. As the incidence of AD is rapidly increasing worldwide, detecting it at an early …
disorder. As the incidence of AD is rapidly increasing worldwide, detecting it at an early …
Alzheimer's diseases diagnosis using fusion of high informative BiLSTM and CNN features of EEG signal
M Imani - Biomedical Signal Processing and Control, 2023 - Elsevier
Electroencephalography (EEG) signals are low cost and available data for diagnosis of
mental disorders such as Alzheimer's diseases (AD). Each EEG signal contains information …
mental disorders such as Alzheimer's diseases (AD). Each EEG signal contains information …
A novel method for diagnosing Alzheimer's disease using deep pyramid CNN based on EEG signals
W Xia, R Zhang, X Zhang, M Usman - Heliyon, 2023 - cell.com
Abstract Background The diagnosis of Alzheimer's disease (AD) using
electroencephalography (EEG) has garnered more attention recently. New methods In this …
electroencephalography (EEG) has garnered more attention recently. New methods In this …
EEGAlzheimer'sNet: Development of transformer-based attention long short term memory network for detecting Alzheimer disease using EEG signal
D kumar Ravikanti, S Saravanan - Biomedical Signal Processing and …, 2023 - Elsevier
A previous diagnosis of Alzheimer's disease (AD) in its initial stages is needed for patient
care because it helps patients adopt preventative measures before irreversible brain …
care because it helps patients adopt preventative measures before irreversible brain …
EEG-based classification of individuals with neuropsychiatric disorders using deep neural networks: A systematic review of current status and future directions
M Parsa, HY Rad, H Vaezi, GA Hossein-Zadeh… - Computer Methods and …, 2023 - Elsevier
The use of deep neural networks for electroencephalogram (EEG) classification has rapidly
progressed and gained popularity in recent years, but automatic feature extraction from EEG …
progressed and gained popularity in recent years, but automatic feature extraction from EEG …
Multi-feature fusion learning for Alzheimer's disease prediction using EEG signals in resting state
Y Chen, H Wang, D Zhang, L Zhang… - Frontiers in Neuroscience, 2023 - frontiersin.org
Introduction Diagnosing Alzheimer's disease (AD) lesions via visual examination of
Electroencephalography (EEG) signals poses a considerable challenge. This has prompted …
Electroencephalography (EEG) signals poses a considerable challenge. This has prompted …
An effective convolutional neural network-based stacked long short-term memory approach for automated Alzheimer's disease prediction
S Saravanakumar, T Saravanan - Journal of Intelligent & …, 2022 - content.iospress.com
In today's world, Alzheimer's Disease (AD) is one of the prevalent neurological diseases
where early disease prediction can significantly enhance the compatibility of patient …
where early disease prediction can significantly enhance the compatibility of patient …
Deep neural network CSES-NET and multi-channel feature fusion for Alzheimer's disease diagnosis
J Qiao, M Zhang, Y Fan, K Fang, X Zhao… - … Signal Processing and …, 2024 - Elsevier
Alzheimer's disease (AD) is an irreversible brain disease. The structural Magnetic
Resonance Imaging (sMRI) has been widely used in the diagnosis of AD. However, the …
Resonance Imaging (sMRI) has been widely used in the diagnosis of AD. However, the …