[HTML][HTML] Structural MRI texture analysis for detecting Alzheimer's disease
Purpose: Alzheimer's disease (AD) has the highest worldwide prevalence of all
neurodegenerative disorders, no cure, and low ratios of diagnosis accuracy at its early stage …
neurodegenerative disorders, no cure, and low ratios of diagnosis accuracy at its early stage …
Lacsogram: A new EEG tool to diagnose Alzheimer's disease
PM Rodrigues, BC Bispo, C Garrett… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
This work proposes the application of a new electroencephalogram (EEG) signal processing
tool-the lacsogram-to characterize the Alzheimer's disease (AD) activity and to assist on its …
tool-the lacsogram-to characterize the Alzheimer's disease (AD) activity and to assist on its …
[HTML][HTML] 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 …
Eeg-based classification of alzheimer's disease and frontotemporal dementia: a comprehensive analysis of discriminative features
Alzheimer's disease (AD) and frontotemporal dementia (FTD) are two main types of
dementia. These diseases have similar symptoms, and they both may be considered as AD …
dementia. These diseases have similar symptoms, and they both may be considered as AD …
Early detection of Alzheimer's and Parkinson's diseases using multiband nonlinear EEG analysis.
Objective: This study aims to distinguish, at early stages, patients with Alzheimer's disease
(AD), patients with Parkinson's disease (PD) and healthy control (CTL) subjects using a …
(AD), patients with Parkinson's disease (PD) and healthy control (CTL) subjects using a …
[HTML][HTML] Exploring the Relationship Between CAIDE Dementia Risk and EEG Signal Activity in a Healthy Population
AR Manuel, P Ribeiro, G Silva, PM Rodrigues… - Brain Sciences, 2024 - mdpi.com
Background: Accounting for dementia risk factors is essential in identifying people who
would benefit most from intervention programs. The CAIDE dementia risk score is commonly …
would benefit most from intervention programs. The CAIDE dementia risk score is commonly …
[HTML][HTML] Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer's Disease Diagnosis
MJ Oliveira, P Ribeiro, PM Rodrigues - Bioengineering, 2024 - mdpi.com
Background: Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative
condition that increasingly impairs cognitive functions and daily activities. Given the …
condition that increasingly impairs cognitive functions and daily activities. Given the …
Electroencephalogram hybrid method for alzheimer early detection
Alzheimer's disease (AD) is a neurocognitive illness that leads to dementia and mainly
affects the elderly. As the percentage of old people is strongly increasing worldwide, it is …
affects the elderly. As the percentage of old people is strongly increasing worldwide, it is …
EEG wavelet packet power spectrum tool for checking Alzheimer's disease progression
RM Cunha, G Silva, M Alves… - International …, 2022 - inderscienceonline.com
Alzheimer's disease (AD) is one of the most prevalent neurodegenerative diseases and it is
strongly associated with age. There are four AD stages: mild cognitive impairment (MCI) …
strongly associated with age. There are four AD stages: mild cognitive impairment (MCI) …
[PDF][PDF] Electroencephalogram-based time-frequency analysis for Alzheimer's disease detection using machine learning
SD Rodrigues, PM Rodrigues - 2025 - web-api.polscientific.com
Background: Alzheimer's disease (AD) is the most common form of dementia. The lack of
effective prevention or cure makes AD a significant concern, as it is a progressive disease …
effective prevention or cure makes AD a significant concern, as it is a progressive disease …