K-complex detection
3 papers with code • 1 benchmarks • 2 datasets
MaSS
Montreal Archive of Sleep Studies
Most implemented papers
Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS).
Although tedious and time-consuming, their identification and quantification is important for sleep studies in both healthy subjects and patients with sleep disorders.
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal
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.
RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection
nicolasigor/cmorlet-tensorflow
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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.
