[HTML][HTML] EEG Data Analysis Techniques for Precision Removal and Enhanced Alzheimer's Diagnosis: Focusing on Fuzzy and Intuitionistic Fuzzy Logic Techniques

M Versaci, F La Foresta - Signals, 2024 - mdpi.com
Effective management of EEG artifacts is pivotal for accurate neurological diagnostics,
particularly in detecting early stages of Alzheimer's disease. This review delves into the …

[HTML][HTML] Prefrontal intra-individual ERP variability and its asymmetry: exploring its biomarker potential in mild cognitive impairment

J Eyamu, WS Kim, K Kim, KH Lee, JU Kim - Alzheimer's Research & …, 2024 - Springer
Background The worldwide trend of demographic aging highlights the progress made in
healthcare, albeit with health challenges like Alzheimer's Disease (AD), prevalent in …

[HTML][HTML] Resting-state prefrontal EEG biomarker in correlation with postoperative delirium in elderly patients

J Kim, S Park, KN Kim, Y Ha, SJ Shin, W Cha… - Frontiers in Aging …, 2023 - frontiersin.org
Postoperative delirium (POD) is associated with adverse outcomes in elderly patients after
surgery. Electroencephalography (EEG) can be used to develop a potential biomarker for …

Machine learning based on event-related oscillations of working memory differentiates between preclinical Alzheimer's disease and neurotypical aging

K Liao, LE Martin, S Fakorede, WM Brooks, JM Burns… - medRxiv, 2023 - medrxiv.org
There is increasing evidence of the usefulness of electroencephalography (EEG) as an early
neurophysiological marker of preclinical AD. Our objective was to apply machine learning …

[HTML][HTML] Reliability of Spectral Features of Resting-State Brain Activity: A Magnetoencephalography Study

E Okumura, H Hoshi, H Morise, N Okumura… - Cureus, 2024 - ncbi.nlm.nih.gov
Background Cognition is a vital sign and its deterioration is a major concern in clinical
medicine. It is usually evaluated using neuropsychological assessments, which have innate …