Zbigniew Budzianowski

Silesian University of Technology, Gleiwitz, Silesian Voivodeship, Poland

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Publications (4)1.71 Total impact

  • Wojciech Oleksy, Ewaryst Tkacz, Zbigniew Budzianowski
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    ABSTRACT: Main idea of this study was to increase efficiency of the EASI ECG method introduced by Dover in 1988 using various regression techniques. EASI was proven to have high correlation with standard 12 lead ECG. Apart from that it is less susceptible to artefacts, increase mobility of patients and is easier to use because of smaller number of electrodes. Multilayer Perceptron (Artificial Neural Network), Support Vector Machines, Linear Regression, Pace Regression and Least Median of Squares Regression methods were used to improve the quality of the 12-lead electrocardiogram derived from four (EASI) electrodes.
    New Biotechnology 01/2012; 29:S28. · 1.71 Impact Factor
  • E.J. Tkacz, P.S. Kostka, Z. Budzianowski, W. Oleksy
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    ABSTRACT: Various methods for the continuous representation of unevenly sampled physiological signals, especially of heart rate and heart rate variability have been published over the past two decades. Due to the mathematical difficulties of analyzing unevenly spaced event series or unevenly sampled signals, all of the previously described techniques are impeded by some severe limitations which result from either representing the signal based on an assumed and often insufficient physiological model of signal generation, or from simplifications in the selected signal processing tools. Though the described methods have their merits and allow sufficient description of heart rate in some special applications, there has been no systematic investigation into a continuous representation of unevenly sampled physiological signals which is free from any limitations or simplifying assumptions and which would allow an objective comparison of the known methods and the determination of the respective errors in order to decide which technique is the best suited for a specific application. In this paper a continuous representation of the point event series describing the temporal sequence of heart beats is presented which does not impose any limiting assumptions on the data analysis. The results obtained were validated through simulations in both time and frequency domains, and compared with the established techniques to allow the determination of errors at the specific times where the heart beats occur, as well as within the intervals between these sample points.
    AFRICON, 2011; 01/2011
  • E. J. Tkacz, Z. Budzianowski, B. T. Mika, P. S. Kostka
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    ABSTRACT: This paper presents an investigation concerning influence of both Sympathetic (SNS) and Parasympathetic (PNS) Nervous Systems for Normogastric Rhythm extracted from Electrogastrogram (EGG), which can be considered as a gastric myoelectrical activity measured by several electrodes attached on the abdomen. The analysis has been performed using principal dynamic modes (PDM) decomposition method to make possible separate analysis of both mentioned influences. To make the analysis possible a special procedure for signal registration has been designed and some other signal processing tools applied for preprocessing ass the EGG signal itself is usually associated with some inferences caused by other organs localized near stomach. The raw data registered is a sort of mixture from both electrical activity of stomach as well as mentioned other organs surrounding it. More, spectral characteristics of those organs overlap causing additional difficulties concerning inferences removal by common band pass filtration.
    12/2009: pages 2035-2037;
  • [show abstract] [hide abstract]
    ABSTRACT: Electrogastrographic Signal (EGG) is considered to be one of the less interesting from both registration and interpretation point of view. There are several reasons of that two facts. EGG presents gastric myoelectrical activity measured by several electrodes attached on the abdomen. Unfortunately the registration procedure does not deliver a pure signal as EGG is usually associated with some interferences caused by the other organs localized near stomach. On the other hand however there are no databases available, which could allow both comparison and proper interpretation. One of the parameter, among others, which is analyzed owing to proper registration is so called normogastric rhythm, which should cover around 70% of rhythmic behavior of the signal. Proper extraction of the normogastric rhythm is a subject of this paper. Special signal preprocessing steps should be applied before the main tool i.e. Independent Component Analysis (ICA) is applied for normogastric rhythm extraction. Also, to make this analysis possible a special registration procedure has been applied concerning two phases of registration - one with feeding and the other one without with 5 minutes brake between them.
    Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 01/2009; 2009:356-9.