Quantitative EEG features during the first day correlate to clinical outcome in perinatal asphyxia
Sign Up to like & getrecommendations! Published in 2024 at "Pediatric Research"
DOI: 10.1038/s41390-024-03235-y
Abstract: To assess whether computational electroencephalogram (EEG) measures during the first day of life correlate to clinical outcomes in infants with perinatal asphyxia with or without hypoxic-ischemic encephalopathy (HIE). We analyzed four-channel EEG monitoring data from… read more here.
Keywords: correlate clinical; clinical outcomes; perinatal asphyxia; first day ... See more keywords
Cross-Driver Domain Generalization for Improved Drowsiness Recognition Based on EEG Signals
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3581395
Abstract: Designing brain-computer interface systems for electroencephalogram (EEG)-based driver drowsiness recognition remains a significant challenge due to the significant variation in EEG signals across subjects and recording sessions. To address this problem, this paper develops a… read more here.
Keywords: eeg signals; drowsiness recognition; recognition; recognition based ... See more keywords
Single-Channel EEG Features Reveal an Association With Cognitive Decline in Seniors Performing Auditory Cognitive Assessment
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Aging Neuroscience"
DOI: 10.3389/fnagi.2022.773692
Abstract: Background Cognitive decline remains highly underdiagnosed despite efforts to find novel cognitive biomarkers. Electroencephalography (EEG) features based on machine-learning (ML) may offer a non-invasive, low-cost approach for identifying cognitive decline. However, most studies use cumbersome… read more here.
Keywords: eeg features; cognitive states; eeg; single channel ... See more keywords