Search Results - "Dolinský, Pavol"

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  1. 1

    ECG compressed sensing method with high compression ratio and dynamic model reconstruction by Šaliga, Ján, Andráš, Imrich, Dolinský, Pavol, Michaeli, Linus, Kováč, Ondrej, Kromka, Jozef

    “…•Compress sensing of electrocardiographic signal.•Frames with offset and amplitude normalization and requantization.•High compress ratio.•Reconstruction based…”
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    Journal Article
  2. 2

    A time domain reconstruction method of randomly sampled frequency sparse signal by Andráš, Imrich, Dolinský, Pavol, Michaeli, Linus, Šaliga, Ján

    “…In this paper stochastic sampling as a method of frequency sparse signal acquisition is presented. Basic principle of compressed sensing is reviewed, with…”
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    Journal Article
  3. 3

    Sparse Signal Acquisition via Compressed Sensing and Principal Component Analysis by Andráš, Imrich, Dolinský, Pavol, Michaeli, Linus, Šaliga, Ján

    Published in Measurement science review (01-10-2018)
    “…This paper presents a way of acquiring a sparse signal by taking only a limited number of samples; sampling and compression are performed in one step by the…”
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    Journal Article
  4. 4

    An ECG signal model based on a parametric description of the characteristic waves by Dolinsky, Pavol, Andras, Imrich, Michaeli, Linus, Saliga, Jan

    Published in Acta IMEKO (30-06-2020)
    “…This article introduces a new electrocardiogram (ECG) signal model based on geometric signal properties. Instead of the artificial functions used in common ECG…”
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    Journal Article
  5. 5

    MODEL FOR GENERATING SIMPLE SYNTHETIC ECG SIGNALS by Dolinský, Pavol, Andráš, Imrich, Michaeli, Linus, Grimaldi, Domenico

    Published in Acta electrotechnica et informatica (27-09-2018)
    “…This paper proposes a mathematical model for generating synthetic artificial ECG signal based on geometrical features of a real ECG signal. By variation of its…”
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    Journal Article
  6. 6

    Optimization Paradigm in the Signal Recovery after Compressive Sensing by Michaeli, Linus, Šaliga, Ján, Dolinský, Pavol, Andráš, Imrich

    Published in Measurement science review (01-02-2019)
    “…Compressive sensing is a processing approach aiming to reduce the data stream from the observed object with the inherent sparsity using the optimal signal…”
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    Journal Article
  7. 7

    High sensitivity experimental QRS detector by Dolinsky, Pavol, Andras, Imrich, Saliga, Jan, Michaeli, Linus

    “…This paper presents an approach to QRS complex detection in ECG signals using Hilbert transform and zero-phase filters to locate the R wave peaks. A newly…”
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    Conference Proceeding
  8. 8

    Beamforming with small diameter microphone array by Andras, Imrich, Dolinsky, Pavol, Michaeli, Linus, Saliga, Jan

    “…This article deals with beamforming in conjunction with 34mm diameter 7-element circular microphone array using MEMS microphones. The main possibilities…”
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    Conference Proceeding
  9. 9

    Improvement of multiexponential signal decomposition by the preprocessing by Andras, Imrich, Dolinsky, Pavol, Michaeli, Linus, Saliga, Jan

    “…Dielectric absorption of capacitors is a source of possible errors in the analog preprocessing blocks and integrating analog to digital converters. Parasitic…”
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    Conference Proceeding
  10. 10

    Reconstruction for ECG Compressed Sensing Using a Time-Normalized PCA Dictionary by Dolinsky, Pavol, Andras, Imrich, Saliga, Jan, Michaeli, Linus

    “…Compressed sensing (CS), due to its computational simplicity is a perspective data reduction technique for remote ECG monitoring applications. In this paper, a…”
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    Conference Proceeding