[HTML][HTML] Structural MRI texture analysis for detecting Alzheimer's disease

J Silva, BC Bispo, PM Rodrigues… - Journal of Medical and …, 2023 - Springer
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 …

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 …

[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 …

Eeg-based classification of alzheimer's disease and frontotemporal dementia: a comprehensive analysis of discriminative features

M Rostamikia, Y Sarbaz, S Makouei - Cognitive Neurodynamics, 2024 - Springer
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 …

Early detection of Alzheimer's and Parkinson's diseases using multiband nonlinear EEG analysis.

G Silva, M Alves, R Cunha, BC Bispo… - Psychology & …, 2022 - psycnet.apa.org
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 …

[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 …

[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 …

Electroencephalogram hybrid method for alzheimer early detection

PM Rodrigues, D Freitas, JP Teixeira, B Bispo… - Procedia computer …, 2018 - Elsevier
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 …

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) …

[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 …