4 papers with code • 3 benchmarks • 1 datasets
The proposed approach, applied here on sleep related micro-architecture events, is inspired by object detectors developed for computer vision such as YOLO and SSD.
Ranked #1 on Sleep Arousal Detection on MESA
The brain electrical activity presents several short events during sleep that can be observed as distinctive micro-structures in the electroencephalogram (EEG), such as sleep spindles and K-complexes.
Ranked #1 on Spindle Detection on MASS SS2
Using a non-linear signal model, which assumes the input EEG to be the sum of a transient and an oscillatory component, we propose a multichannel transient separation algorithm.
Ranked #4 on Spindle Detection on MASS SS2
Although tedious and time-consuming, their identification and quantification is important for sleep studies in both healthy subjects and patients with sleep disorders.
Ranked #4 on K-complex detection on MASS SS2