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EN
For an array of eight chemoresistive gas sensors a computer pattern recognition system was built. Multivariate data analysis was performed for measurements of three gases' dilutions: hydrogen (H_2), methane (CH_4), and carbon monoxide (CO). The pattern recognition system included a feature subset selection algorithm involving PCA and objective function. Dimensionality reduction was applied to two kinds of patterns: three aforementioned gases and six different concentrations of hydrogen. For patterns of the three gases, classification tests were performed using k-NN algorithm and N-fold based validation method.
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.
EN
The article presents further developments of an optical system to be used in temporary blood volume measurements in the Polish ventricular assist device. The research focuses on quasi-dynamic measurements (flow rate of 5 ml/s). Characteristics of signals from selected configurations of optical transmitters and receivers are shown. A volume approximation using a PCA algorithm supported by a LRS function is introduced. Plans of further development are stated.
EN
The paper presents results of extended static measurements of a newly developed optical system for temporary blood chamber volume measurements in the Polish Ventricular Assist Device. The paper additionally introduces a modified measurement stand and improvements of the measurements. Exemplary results acquired with principal components analysis are shown and future development plans of an optical measurement system are stated.
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