Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Detection of QRS Complexes Using Wavelet Transforms and Golden Section Search

Authors
Wenli Chen1, Zhiwen Mo, Wen Guo
1College of Mathematic and Software Science, Sichuan Normal University
Corresponding Author
Wenli Chen
Available Online October 2007.
DOI
https://doi.org/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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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.32How to use a DOI?
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/).

Cite this article

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  - https://doi.org/10.2991/iske.2007.32
ID  - Chen2007/10
ER  -