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A comparison of two sleep spindle detection methods based on all night averages: individually adjusted vs. fixed frequencies

  • Published:2015-02-17 Issue: Volume:9 Page:
  • ISSN:1662-5161
  • Container-title:Frontiers in Human Neuroscience
  • language:
  • Short-container-title:Front. Hum. Neurosci.

Author:

Ujma Péter Przemyslaw,Gombos Ferenc,Genzel Lisa,Konrad Boris Nikolai,Simor Péter,Steiger Axel,Dresler Martin,Bódizs Róbert

Publisher

Frontiers Media SA

Subject

Behavioral Neuroscience,Biological Psychiatry,Psychiatry and Mental health,Neurology,Neuropsychology and Physiological Psychology

Reference48 articles.

1. Automatic recognition of sleep spindles in EEG by using artificial neural networks;Acır;Expert Syst. Appl,2004

2. Integration of low-frequency sleep oscillations in corticothalamic networks;Amzica;Acta Neurobiol. Exp. (Wars),2000

3. Sleep spindles in humans: insights from intracranial EEG and unit recordings;Andrillon;J. Neurosci,2011

4. Location specific sleep spindle activity in the early visual areas and perceptual learning;Bang;Vision Res,2014

5. Prediction of general mental ability based on neural oscillation measures of sleep;Bódizs;J. Sleep Res,2005
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