Single-channel EEG-based sleep state detection using spectral features and machine learning
An end-to-end classification framework using self-recorded single-channel wearable EEG data collected under real-world resting conditions, capturing natural inter-session variability and noise characteristics of practical wearable acquisition demonstrates the feasibility of low-cost single-channel EEG for practical sle...