Open Access
Improved feature detection in ECG signals through denoising
Publication type: Journal Article
Publication date: 2008-10-25
scimago Q3
SJR: 0.210
CiteScore: 2.7
Impact factor: —
ISSN: 17480698, 17480701
Electrical and Electronic Engineering
Control and Systems Engineering
Abstract
We identified important features in ECG signals after using a third-order, correlation-based method for denoising. Using a small sample of test and actual clean ECG signals, we found that the third-order method for denoising preserved the values and location of important peaks better than a conventional second-order wavelet-based method for denoising.
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Kozaitis S. P. Improved feature detection in ECG signals through denoising // International Journal of Signal and Imaging Systems Engineering. 2008. Vol. 1. No. 2. p. 108.
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Kozaitis S. P. Improved feature detection in ECG signals through denoising // International Journal of Signal and Imaging Systems Engineering. 2008. Vol. 1. No. 2. p. 108.
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RIS
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TY - JOUR
DO - 10.1504/ijsise.2008.020917
UR - https://doi.org/10.1504/ijsise.2008.020917
TI - Improved feature detection in ECG signals through denoising
T2 - International Journal of Signal and Imaging Systems Engineering
AU - Kozaitis, Samuel P.
PY - 2008
DA - 2008/10/25
PB - Inderscience Publishers
SP - 108
IS - 2
VL - 1
SN - 1748-0698
SN - 1748-0701
ER -
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BibTex (up to 50 authors)
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@article{2008_Kozaitis,
author = {Samuel P. Kozaitis},
title = {Improved feature detection in ECG signals through denoising},
journal = {International Journal of Signal and Imaging Systems Engineering},
year = {2008},
volume = {1},
publisher = {Inderscience Publishers},
month = {oct},
url = {https://doi.org/10.1504/ijsise.2008.020917},
number = {2},
pages = {108},
doi = {10.1504/ijsise.2008.020917}
}
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MLA
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Kozaitis, Samuel P.. “Improved feature detection in ECG signals through denoising.” International Journal of Signal and Imaging Systems Engineering, vol. 1, no. 2, Oct. 2008, p. 108. https://doi.org/10.1504/ijsise.2008.020917.