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Spindle Detection

3 papers with code · Medical
Subtask of Sleep Quality

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DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal

7 Dec 2018Dreem-Organization/dosed

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.

EEG K-COMPLEX DETECTION SLEEP APNEA DETECTION SLEEP AROUSAL DETECTION SLEEP MICRO-EVENT DETECTION SPINDLE DETECTION TIME SERIES

Multichannel sleep spindle detection using sparse low-rank optimization

Journal of Neuroscience Methods Volume 288 2017 aparek/mcsleep

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.

EEG SPINDLE DETECTION

Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS).

Frontiers in Neuroinformatics 2017 TarekLaj/SPINKY

Although tedious and time-consuming, their identification and quantification is important for sleep studies in both healthy subjects and patients with sleep disorders.

EEG K-COMPLEX DETECTION SPINDLE DETECTION