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Sleep spindle detection using artificial neural networks trained with filtered time-domain EEG: A feasibility study

  • Published:2005-06 Issue:3 Volume:78 Page:191-207
  • ISSN:0169-2607
  • Container-title:Computer Methods and Programs in Biomedicine
  • language:en
  • Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Ventouras Errikos M.,Monoyiou Efstratia A.,Ktonas Periklis Y.,Paparrigopoulos Thomas,Dikeos Dimitris G.,Uzunoglu Nikos K.,Soldatos Constantin R.

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference33 articles.

1. A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects,1968

2. Catalog of the main EEG-patterns;Dutertre,1977

3. Sleep spindles;Jankel;J. Clin. Neurophysiol.,1985

4. Sleep spindles: an overview;De Gennaro;Sleep Med. Rev.,2003

5. Sleep spindle incidence dynamics: a pilot study based on a markovian analysis;Ktonas;Sleep,2000

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4. Deep-spindle: An automated sleep spindle detection system for analysis of infant sleep spindles;Computers in Biology and Medicine;2022-11

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