Verification And Adjustment Of Hf-Ecg Preprocessing In Experimental Cardiology
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The aim of this article is to propose an approach to High-Frequency ECG (HF-ECG) preprocessing with an intention to verify the settled methods of signal preprocessing in the perspective of the new requirements and possibilities in the area of signal processing. The method using Butterworth filters is often used. Nevertheless, for the presented type of analysis is not suitable. FIR filtering alongside with clustering and signal averaging were used for preprocessing of data from isolated rabbit hearts. Frequency bands for further analysis were chosen according to the estimated SNR (signal-to-noise ratio).
KeywordsECG, high frequency, HF-ECG, signal processing, preprocessing, filtering, averaging, clustering, decomposition
Document typePeer reviewed
Document versionxmlui.vut.verze.Publishers's version
SourceProceedings of the 24th Conference STUDENT EEICT 2018. s. 610-615. ISBN 978-80-214-5614-3
- Student EEICT 2018