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Applied Computational Intelligence and Soft Computing
Volume 2011 (2011), Article ID 135681, 8 pages
http://dx.doi.org/10.1155/2011/135681
Research Article

Classification of Physiology Indicators for the Automatic Detection of Potentially Hazardous Physiological States

1Centre for Research and Technology Hellas, Informatics and Telematics Institute, 57001 Thessaloniki, Greece
2FORENAP, Pharma, 68250 Rouffach, France

Received 25 May 2011; Revised 18 July 2011; Accepted 20 July 2011

Academic Editor: Farid Melgani

Copyright © 2011 I. G. Damousis 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

I. G. Damousis, S. Argyropoulos, and A. Muzet, “Classification of Physiology Indicators for the Automatic Detection of Potentially Hazardous Physiological States,” Applied Computational Intelligence and Soft Computing, vol. 2011, Article ID 135681, 8 pages, 2011. doi:10.1155/2011/135681