QRS Complex Detection in Multilead ECG Signals

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Šlancar, M.

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Mark

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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

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Abstract

Automated analysis of HRV requires reliable detection of QRS complexes. We propose a detection method based on different combinations of three orthogonal (pseudoorthogonal) leads of human ECG signals. ECG signals were filtered by standard pass-band filter, Teager-Kaiser energy operator (TKEO) was applied on signal as envelope for detection. The most effective combination for QRS detection was a spatial velocity with sensitivity exceeds 99.9 % and positive predictive value near to 99.5 %. Detection algorithm has been tested on 125 real signals of CSE standard library.

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Proceedings of the 21st Conference STUDENT EEICT 2015. s. 143-145. ISBN 978-80-214-5148-3
http://www.feec.vutbr.cz/EEICT/

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Peer-reviewed

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cs

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