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2013 | 124 | 3 | 498-501
Article title

Research on Pattern Recognition Applied for Volume Estimation of Blood Chamber with Matrix of Optical Sensors

Content
Title variants
Languages of publication
EN
Abstracts
EN
The following article describes research on possibility of using pattern recognition algorithms in the optical measurement system for estimation of the blood chamber volume in the Polish Ventricular Assist Device (POLVAD). The optical system is being developed at the Department of Optoelectronics, Silesian University of Technology, Poland. Data analysis methods include a feature subset selection algorithm involving principal components analysis and objective function as quality criterion. The analysis takes into account 17 patterns reflecting particular volumes. The k-nearest neighbours method is used as pattern classifier. The pattern recognition system was initially designed for an array of gas sensors and this paper describes its further development.
Keywords
EN
Year
Volume
124
Issue
3
Pages
498-501
Physical description
Dates
published
2013-09
References
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  • [2] A.H. Gómez, J. Wang, G. Hu, A.G. Pereira, Sensors Actuat. B 113, 347 (2006)
  • [3] Y. Yin, X. Tian, Sensors Actuat. B 124, 393 (2007)
  • [4] K. Gut, Bull. Pol. Acad. Sci., Techn. Sci. 59, 395 (2011)
  • [5] K.Z. Mao, IEEE Trans. Syst., Man Cybernet. Part B, Cybernet. 34, 629 (2004)
  • [6] P. Marczyński, A. Szpakowski, C. Tyszkiewicz, T. Pustelny, Acta Phys. Pol. A 122, 847 (2012)
  • [7] G. Konieczny, T. Pustelny, Acta Phys. Pol. A 122, 962 (2012)
  • [8] M. Scholz, R. Vigário, Artificial Neural Networks, Springer, Brugges 2002
Document Type
Publication order reference
YADDA identifier
bwmeta1.element.bwnjournal-article-appv124n331kz
Identifiers
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