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

• Authors: P. Marczyński , G. Konieczny , T. Pustelny
• 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

42.30.Sy   47.54.-r   43.60.Lq  

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2013
• Volume: 124
• Issue: 3
• Pages: 498-501

Dates

published

2013-09

References

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Identifiers

DOI

10.12693/APhysPolA.124.498