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 …
Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer's disease, mild cognitive impairment and healthy ageing
CJ Huggins, J Escudero, MA Parra… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. This study aimed to produce a novel deep learning (DL) model for the
classification of subjects with Alzheimer's disease (AD), mild cognitive impairment (MCI) …
classification of subjects with Alzheimer's disease (AD), mild cognitive impairment (MCI) …
EEG signal processing for Alzheimer's disorders using discrete wavelet transform and machine learning approaches
The most common neurological brain issue is Alzheimer's disease, which can be diagnosed
using a variety of clinical methods. However, the electroencephalogram (EEG) is shown to …
using a variety of clinical methods. However, the electroencephalogram (EEG) is shown to …
Identification of Alzheimer's disease from central lobe EEG signals utilizing machine learning and residual neural network
IA Fouad, FEZM Labib - Biomedical Signal Processing and Control, 2023 - Elsevier
Cognitive and behavioral deficits are some of the symptoms of Alzheimer's disease, a
neurological disease caused by brain deterioration. Early diagnosis of the disease …
neurological disease caused by brain deterioration. Early diagnosis of the disease …
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) …
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 …
An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG
Objective. This study aims to design and implement the first deep learning (DL) model to
classify subjects in the prodromic states of Alzheimer's disease (AD) based on resting-state …
classify subjects in the prodromic states of Alzheimer's disease (AD) based on resting-state …
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 …
A novel electroencephalography based approach for Alzheimer's disease and mild cognitive impairment detection
B Oltu, MF Akşahin, S Kibaroğlu - Biomedical Signal Processing and …, 2021 - Elsevier
Background and objective Alzheimer's disease (AD) is characterized by cognitive,
behavioral and intellectual deficits. The term mild cognitive impairment (MCI) is used to …
behavioral and intellectual deficits. The term mild cognitive impairment (MCI) is used to …
Alzheimer's disease and frontotemporal dementia: A robust classification method of EEG signals and a comparison of validation methods
Dementia is the clinical syndrome characterized by progressive loss of cognitive and
emotional abilities to a degree severe enough to interfere with daily functioning. Alzheimer's …
emotional abilities to a degree severe enough to interfere with daily functioning. Alzheimer's …