Detection of QRS Complexes Using Wavelet Transforms and Golden Section Search

DOI

10.2991/iske.2007.32How to use a DOI?

Keywords

ECG Signal QRS Complexes Wavelet Transformation Golden Section Search

Abstract

The extraction and identification of ECG (electrocardiogram) signal characteristic parameters are the basis of ECG analysis and diagnosis. The fast and precise detection of QRS complexes is very important in ECG signal analysis, for it is the precondition of the correlative parameters calculation and diagnosis. In our work, the modulus maxima of wavelet transform was applied to the QRS complexes detection of ECG signal firstly. Once misdetections or fail-detections happening, we used the Golden Section Search to adjust the thresholds of maxima determination. The correct detection rate of the QRS complexes is up to 99.6% based on MIT-BIH ECG data.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenli Chen
AU  - Zhiwen Mo
AU  - Wen Guo
PY  - 2007/10
DA  - 2007/10
TI  - Detection of QRS Complexes Using Wavelet Transforms and Golden Section Search
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 183
EP  - 187
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.32
DO  - 10.2991/iske.2007.32
ID  - Chen2007/10
ER  -