Jirí Kozumplík

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In this study, we focused on the reduction of broadband myopotentials (EMG) in ECG signals using the wavelet Wiener filtering with noise-free signal estimation. We used the dyadic stationary wavelet transform (SWT) in the Wiener filter as well as in estimating the noise-free signal. Our goal was to find a suitable filter bank and to choose other parameters(More)
The aim of this study is suppression of parasite electromyographic (EMG) signals (myopotentials) included in ECG signals with use of the Wiener filtering in shift-invariant wavelet domain with pilot estimation of the signal. The wavelet filtering with hybrid thresholding was used for pilot estimation. The four-levels shift-invariant dyadic discrete-time(More)
An application of the wavelet transform to electrocardiography is described in the paper. The transform is used as a first stage of a lossy compression algorithm for efficient coding of rest ECG signals. The proposed technique is based on the decomposition of the ECG signal into a set of basic functions covering the time-frequency domain. Thus,(More)
An example of application of the wavelet transform to electrocardiography is described in the paper. The transform is exploited as a first stage of an ECG signal compression algorithm. The signal is decomposed into particular timefrequency components. Some of the components are removed because of their low influence to signal shape due to nonstationary(More)
Voltage-sensitive dyes (VSDs) are used in touch-less recording of electrical activity from animal hearts. Previously, VSDs has been successfully used in myocardial ischemia studies. However, our previous Langendorff perfused heart experiments have suggested changes in ECG signals in time and time-frequency domain caused by application of VSD during optical(More)
Automated analysis of HRV and/or QT intervals of isolated rabbit heart electrograms requires reliable detection of QRS complexes. We propose a detection method based on spatial velocity using differentiation of all lead signals, the squaring, the adding and the square root in orders. Teager-Kaiser energy operator was applied after filtering spatial velocity(More)
Nowadays, cardiovascular diseases represent the most common cause of death in western countries. Among various examination techniques, electrocardiography (ECG) is still a highly valuable tool used for the diagnosis of many cardiovascular disorders. In order to diagnose a person based on ECG, cardiologists can use automatic diagnostic algorithms. Research(More)
BACKGROUND The paper presents a method of linear time-varying filtering, with extremely low computational costs, for the suppression of baseline drift in electrocardiographic (ECG) signals. An ECG signal is not periodic as the length of its heart cycles vary. In order to optimally suppress baseline drift by the use of a linear filter, we need a high-pass(More)