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Neural Plasticity
Volume 2016, Article ID 6783812, 19 pages
Review Article

Sleep Spindles as an Electrographic Element: Description and Automatic Detection Methods

1GIGA In Silico Medicine, CRC (B30), University of Liège, 4000 Liège, Belgium
2Department of Electrical Engineering and Computer Science (B28), 4000 Liège, Belgium
3GIGA CRC In Vivo Imaging, CRC (B30), University of Liège, 4000 Liège, Belgium
4Department of Neurology, University of Liège Hospital (B35), 4000 Liège, Belgium
5Walloon Excellence in Life Sciences and Biotechnology (WELBIO), 1300 Wavre, Belgium

Received 8 February 2016; Accepted 27 April 2016

Academic Editor: Igor Timofeev

Copyright © 2016 Dorothée Coppieters ’t Wallant et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

The supplementary Material lists the automatic and semi-automatic sleep spindles detection methods described along the review. These methods are described by their main processing steps: ‘Decomposition’, ‘Features’ and Decision-making’.

  1. Supplementary Material