Sleep spindle and K-complex detection using tunable Q-factor wavelet transform and morphological component analysis

Sleep spindle and K-complex detection using tunable Q-factor wavelet transform and morphological component analysis

A novel framework for joint detection of sleep spindles and K-complex events, two hallmarks of sleep stage S2, is proposed. Sleep electroencephalography (EEG) signals are split into oscillatory (spindles) and transient (K-complex) components. This decomposition is conveniently achieved by applying m...

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Bibliographic Details
Main Authors: Tarek eLajnef, Sahbi eChaibi, Jean-Baptiste eEichenlaub, Perrine Marie Ruby, Pierre-Emmanuel eAguera, Mounir eSamet, Abdennaceur eKachouri, Karim eJerbi
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-07-01
Series:Frontiers in Human Neuroscience
Subjects:
Sleep
Electroencephalography (EEG)
Neural oscillations
K-complex
Sensitivity
Sleep Spindles
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2015.00414/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnhum.2015.00414/full

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