Spindle Detection

4 papers with code • 3 benchmarks • 1 datasets

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Datasets


Greatest papers with code

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

Dreem-Organization/dosed 7 Dec 2018

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 +5

RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection

nicolasigor/cmorlet-tensorflow 15 May 2020

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.

EEG K-complex detection +3

Multichannel sleep spindle detection using sparse low-rank optimization

aparek/mcsleep Journal of Neuroscience Methods Volume 288 2017

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