Multilead QT interval analysis algorithm based on continuous wavelet transform

Mehmet Iscan; Sebnem Sariozkan; Abdurrahman Yilmaz; Cuneyt Yilmaz

doi:10.1109/ICEEE2.2017.7935842

Multilead QT interval analysis algorithm based on continuous wavelet transform

Mehmet Iscan, Sebnem Sariozkan, Abdurrahman Yilmaz, Cuneyt Yilmaz

Yildiz Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Computer-aided recognition program is being established to detect irregular patterns of cardiac rhythm causing several mortality conditions such as heart failure, heart attack, etc. In this study, an automatic novel algorithm based on continuous wavelet transform (CWT) conducting multi-lead process was proposed for estimating QT interval in ECG signals. Especially, T wave end delineation is the major problem in ECG processing. In the first place, the presented algorithm was utilized to locate the starting point of QRS complexes and the final point of T wave. The suggested algorithm was assessed on QT database published by PHYSIONET, then, the achievements of the algorithm were mean error of -1.2423 and -0.2136 milliseconds with the standard deviation error of 18.3490 and 7.6522 milliseconds at silver and gold standard, respectively. As a result, the suggested algorithm is a fully automatic method with high performance characteristic in multi-lead ECG analysis.

Original language	English
Title of host publication	2017 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	318-322
Number of pages	5
ISBN (Electronic)	9781509067886
DOIs	https://doi.org/10.1109/ICEEE2.2017.7935842
Publication status	Published - 30 May 2017
Externally published	Yes
Event	4th International Conference on Electrical and Electronics Engineering, ICEEE 2017 - Ankara, Turkey Duration: 8 Apr 2017 → 10 Apr 2017

Publication series

Name	2017 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017

Conference

Conference	4th International Conference on Electrical and Electronics Engineering, ICEEE 2017
Country/Territory	Turkey
City	Ankara
Period	8/04/17 → 10/04/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Continuous wavelet transform
ECG signal
Multi-lead ECG analysis
QT interval

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICEEE2.2017.7935842

Cite this

Iscan, M., Sariozkan, S., Yilmaz, A., & Yilmaz, C. (2017). Multilead QT interval analysis algorithm based on continuous wavelet transform. In 2017 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017 (pp. 318-322). Article 7935842 (2017 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEEE2.2017.7935842

Iscan, Mehmet ; Sariozkan, Sebnem ; Yilmaz, Abdurrahman et al. / Multilead QT interval analysis algorithm based on continuous wavelet transform. 2017 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 318-322 (2017 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017).

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title = "Multilead QT interval analysis algorithm based on continuous wavelet transform",

abstract = "Computer-aided recognition program is being established to detect irregular patterns of cardiac rhythm causing several mortality conditions such as heart failure, heart attack, etc. In this study, an automatic novel algorithm based on continuous wavelet transform (CWT) conducting multi-lead process was proposed for estimating QT interval in ECG signals. Especially, T wave end delineation is the major problem in ECG processing. In the first place, the presented algorithm was utilized to locate the starting point of QRS complexes and the final point of T wave. The suggested algorithm was assessed on QT database published by PHYSIONET, then, the achievements of the algorithm were mean error of -1.2423 and -0.2136 milliseconds with the standard deviation error of 18.3490 and 7.6522 milliseconds at silver and gold standard, respectively. As a result, the suggested algorithm is a fully automatic method with high performance characteristic in multi-lead ECG analysis.",

keywords = "Continuous wavelet transform, ECG signal, Multi-lead ECG analysis, QT interval",

author = "Mehmet Iscan and Sebnem Sariozkan and Abdurrahman Yilmaz and Cuneyt Yilmaz",

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year = "2017",

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doi = "10.1109/ICEEE2.2017.7935842",

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Iscan, M, Sariozkan, S, Yilmaz, A & Yilmaz, C 2017, Multilead QT interval analysis algorithm based on continuous wavelet transform. in 2017 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017., 7935842, 2017 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017, Institute of Electrical and Electronics Engineers Inc., pp. 318-322, 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017, Ankara, Turkey, 8/04/17. https://doi.org/10.1109/ICEEE2.2017.7935842

Multilead QT interval analysis algorithm based on continuous wavelet transform. / Iscan, Mehmet; Sariozkan, Sebnem; Yilmaz, Abdurrahman et al.
2017 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 318-322 7935842 (2017 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multilead QT interval analysis algorithm based on continuous wavelet transform

AU - Iscan, Mehmet

AU - Sariozkan, Sebnem

AU - Yilmaz, Abdurrahman

AU - Yilmaz, Cuneyt

PY - 2017/5/30

Y1 - 2017/5/30

N2 - Computer-aided recognition program is being established to detect irregular patterns of cardiac rhythm causing several mortality conditions such as heart failure, heart attack, etc. In this study, an automatic novel algorithm based on continuous wavelet transform (CWT) conducting multi-lead process was proposed for estimating QT interval in ECG signals. Especially, T wave end delineation is the major problem in ECG processing. In the first place, the presented algorithm was utilized to locate the starting point of QRS complexes and the final point of T wave. The suggested algorithm was assessed on QT database published by PHYSIONET, then, the achievements of the algorithm were mean error of -1.2423 and -0.2136 milliseconds with the standard deviation error of 18.3490 and 7.6522 milliseconds at silver and gold standard, respectively. As a result, the suggested algorithm is a fully automatic method with high performance characteristic in multi-lead ECG analysis.

AB - Computer-aided recognition program is being established to detect irregular patterns of cardiac rhythm causing several mortality conditions such as heart failure, heart attack, etc. In this study, an automatic novel algorithm based on continuous wavelet transform (CWT) conducting multi-lead process was proposed for estimating QT interval in ECG signals. Especially, T wave end delineation is the major problem in ECG processing. In the first place, the presented algorithm was utilized to locate the starting point of QRS complexes and the final point of T wave. The suggested algorithm was assessed on QT database published by PHYSIONET, then, the achievements of the algorithm were mean error of -1.2423 and -0.2136 milliseconds with the standard deviation error of 18.3490 and 7.6522 milliseconds at silver and gold standard, respectively. As a result, the suggested algorithm is a fully automatic method with high performance characteristic in multi-lead ECG analysis.

KW - Continuous wavelet transform

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Iscan M, Sariozkan S, Yilmaz A, Yilmaz C. Multilead QT interval analysis algorithm based on continuous wavelet transform. In 2017 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 318-322. 7935842. (2017 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017). doi: 10.1109/ICEEE2.2017.7935842

Multilead QT interval analysis algorithm based on continuous wavelet transform

Abstract

Publication series

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Bibliographical note

Keywords

UN SDGs

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