| HEJČ, Jakub, Martin VÍTEK, Marina RONZHINA, Marie NOVÁKOVÁ and Jana KOLÁŘOVÁ. A Wavelet-Based ECG Delineation Method: Adaptation to an Experimental Electrograms with Manifested Global Ischemia. Cardiovascular Engineering and Technology. New York: Springer Publishing Company, 2015, vol. 6, No 3, p. 364-375. ISSN 1869-408X. Available from: https://dx.doi.org/10.1007/s13239-015-0224-z. |
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@article{1310499,
author = {Hejč, Jakub and Vítek, Martin and Ronzhina, Marina and Nováková, Marie and Kolářová, Jana},
article_location = {New York},
article_number = {3},
doi = {http://dx.doi.org/10.1007/s13239-015-0224-z},
keywords = {ECG delineation; Electrogram; Ischemia; Isolated rabbit heart; Wave detection; Wavelet transform},
language = {eng},
issn = {1869-408X},
journal = {Cardiovascular Engineering and Technology},
title = {A Wavelet-Based ECG Delineation Method: Adaptation to an Experimental Electrograms with Manifested Global Ischemia},
volume = {6},
year = {2015}
}
TY - JOUR
ID - 1310499
AU - Hejč, Jakub - Vítek, Martin - Ronzhina, Marina - Nováková, Marie - Kolářová, Jana
PY - 2015
TI - A Wavelet-Based ECG Delineation Method: Adaptation to an Experimental Electrograms with Manifested Global Ischemia
JF - Cardiovascular Engineering and Technology
VL - 6
IS - 3
SP - 364-375
EP - 364-375
PB - Springer Publishing Company
SN - 1869408X
KW - ECG delineation
KW - Electrogram
KW - Ischemia
KW - Isolated rabbit heart
KW - Wave detection
KW - Wavelet transform
N2 - We present a novel wavelet-based ECG delineation method with robust classification of P wave and T wave. The work is aimed on an adaptation of the method to long-term experimental electrograms (EGs) measured on isolated rabbit heart and to evaluate the effect of global ischemia in experimental EGs on delineation performance. The algorithm was tested on a set of 263 rabbit EGs with established reference points and on human signals using standard Common Standards for Quantitative Electrocardiography Standard Database (CSEDB). On CSEDB, standard deviation (SD) of measured errors satisfies given criterions in each point and the results are comparable to other published works. In rabbit signals, our QRS detector reached sensitivity of 99.87% and positive predictivity of 99.89% despite an overlay of spectral components of QRS complex, P wave and power line noise. The algorithm shows great performance in suppressing J-point elevation and reached low overall error in both, QRS onset (SD = 2.8 ms) and QRS offset (SD = 4.3 ms) delineation. T wave offset is detected with acceptable error (SD = 12.9 ms) and sensitivity nearly 99%. Variance of the errors during global ischemia remains relatively stable, however more failures in detection of T wave and P wave occur. Due to differences in spectral and timing characteristics parameters of rabbit based algorithm have to be highly adaptable and set more precisely than in human ECG signals to reach acceptable performance.
ER -
HEJČ, Jakub, Martin VÍTEK, Marina RONZHINA, Marie NOVÁKOVÁ and Jana KOLÁŘOVÁ. A Wavelet-Based ECG Delineation Method: Adaptation to an Experimental Electrograms with Manifested Global Ischemia. \textit{Cardiovascular Engineering and Technology}. New York: Springer Publishing Company, 2015, vol.~6, No~3, p.~364-375. ISSN~1869-408X. Available from: https://dx.doi.org/10.1007/s13239-015-0224-z.
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