A5095094725- Brain Tumor Detection and Classification
- EEG and Brain-Computer Interfaces
- Digital Imaging for Blood Diseases
- Infrared Thermography in Medicine
- Artificial Intelligence in Healthcare
Universidad Carlos III de Madrid
2024
Introduction: In preclinical Alzheimer's disease (AD), oxidative stress induces non-enzymatic protein damage-detected as cerebrospinal fluid (CSF) biomarkers-and disrupts sleep-related networks, altering sleep electroencephalographic patterns. Due to the invasiveness of CSF sampling, quantitative electroencephalography (qEEG) is proposed a non-invasive alternative for predicting oxidatively modified levels via Machine Learning (ML). Methods: Forty-two mild-to-moderate AD patients underwent...
Alzheimer's disease (AD) and sleep disorders exhibit a close association, where disruptions in patterns often precede the onset of Mild Cognitive Impairment (MCI) early-stage AD. This study delves into potential utilizing sleep-related electroencephalography (EEG) signals acquired through polysomnography (PSG) for early detection Our primary focus is on exploring semi-supervised Deep Learning techniques classification EEG due to clinical scenario characterized by limited data availability....
Alzheimer's disease (AD) and sleep disorders exhibit a close association, where disruptions in patterns often precede the onset of Mild Cognitive Impairment (MCI) early-stage AD. This study delves into potential utilizing sleep-related electroencephalography (EEG) signals acquired through polysomnography (PSG) for early detection Our primary focus is on exploring semi-supervised Deep Learning techniques classification EEG due to clinical scenario characterized by limited data availability....