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Computational Intelligence and Neuroscience
Volume 2009, Article ID 989824, 7 pages
Review Article

Signatures of Depression in Non-Stationary Biometric Time Series

1Department of Neurobiology Institute for Biological Research, University of Belgrade, 11000 Belgrade, Serbia
2Division of Bioinformatics, Macedonian Academy of Sciences and Arts, 1000 Skopje, Macedonia
3Department of Biomedical Engineering, Technomedicum of the Tallinn University of Technology, 19086 Tallinn, Estonia
4The Swedish Defence Research Agency, SE-16490 Stockholm, Sweden
5Lab of Biosignal Analysis Fundamentals, Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, 00901 Warsaw, Poland
6Department of Energy and Technology, Swedish University of Agricultural Sciences, SE-75007 Uppsala, Sweden
7Pediatric Clinic, Faculty of Medicine, University of Skopje, 1000 Skopje, Macedonia
8Institute of Neurology and Psychiatry in Bucharest, 75622 Bucharest, Romania
9Department of Clinical Neuroscience, Division of Psychiatry, Karolinska Instititute, SE-17177 Stockholm, Sweden

Received 30 October 2008; Revised 19 March 2009; Accepted 29 April 2009

Academic Editor: Laura Astolfi

Copyright © 2009 Milka Culic 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.

How to Cite this Article

Milka Culic, Biljana Gjoneska, Hiie Hinrikus, et al., “Signatures of Depression in Non-Stationary Biometric Time Series,” Computational Intelligence and Neuroscience, vol. 2009, Article ID 989824, 7 pages, 2009.