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Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach

The QT interval on the electrocardiogram (ECG) signal is known to have an important role in monitoring heart’s electrical activity because the presence of QT interval prolongation can be associated with life-threatening cardiac events. This interval can be identified and measured using either man...

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Main Authors: Jumahat, Shaliza, Gan, Kok Beng, Misran, Norbahiah, Islam, Mohammad Tariqul, Mahri, Nurhafizah, Ja'afar, Mohd. Hasni
Format: Article
Language:English
English
Published: Trans Tech Publications 2020
Subjects:
TA164 Bioengineering
TA168 Systems engineering
Online Access:http://irep.iium.edu.my/79098/7/79098%20Automated%20QT%20Interval%20Measurement%20Using%20Modified%20Pan-Tompkins.pdf
http://irep.iium.edu.my/79098/8/79098%20Automated%20QT%20Interval%20Measurement%20Using%20Modified%20Pan-Tompkins%20SCOPUS.pdf
http://irep.iium.edu.my/79098/
https://www.scientific.net/JBBBE.44.51
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spelling my.iium.irep.790982020-04-13T00:52:35Z http://irep.iium.edu.my/79098/ Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach Jumahat, Shaliza Gan, Kok Beng Misran, Norbahiah Islam, Mohammad Tariqul Mahri, Nurhafizah Ja'afar, Mohd. Hasni TA164 Bioengineering TA168 Systems engineering The QT interval on the electrocardiogram (ECG) signal is known to have an important role in monitoring heart’s electrical activity because the presence of QT interval prolongation can be associated with life-threatening cardiac events. This interval can be identified and measured using either manual or automated techniques. Currently, studies on automated QT interval measurement algorithms are becoming a growing field, as they can provide the best solution to overcome misdiagnosis and timely issues resulting from manual identification. However, the physiological variability of the QRS complex and the fluctuation of the isoelectric line are prevalent issues that need to be considered in the automatic method. In this report, an algorithm to identify the QRS onset and T-wave offset for measuring the corrected QT interval (QTc) is proposed. This method uses an improved Pan-Tompkins algorithm from the previous work with independent of the isoelectric line approach for detecting the QRS onset and the T offset. The algorithm was implemented in Matlab and applied to the 60 seconds duration of 27 records in the PPUKM database with a sampling frequency of 500 Hz. The performance of the algorithm achieved a sensitivity of 100% for QRS onset detection and 100% for T offset detection. As for the accuracy, the algorithm’s performance obtained 100% for QRS onset detection and 99.56% for T offset detection. The mean error results with respect to manual annotation were 37±18.5 ms for QRS onset detection and 32±22.3 ms for T offset detection which was within ANSI/AAMI-EC57:1998 standard tolerance. The proposed algorithm exhibits reliable automated QTc measurement. Besides insensitive to morphological variations of ECG waves, the computational method is simple and possibly implemented as the basis for future software development for portable device applications. Trans Tech Publications 2020-02-28 Article PeerReviewed application/pdf en http://irep.iium.edu.my/79098/7/79098%20Automated%20QT%20Interval%20Measurement%20Using%20Modified%20Pan-Tompkins.pdf application/pdf en http://irep.iium.edu.my/79098/8/79098%20Automated%20QT%20Interval%20Measurement%20Using%20Modified%20Pan-Tompkins%20SCOPUS.pdf Jumahat, Shaliza and Gan, Kok Beng and Misran, Norbahiah and Islam, Mohammad Tariqul and Mahri, Nurhafizah and Ja'afar, Mohd. Hasni (2020) Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach. Journal of Biomimetics, Biomaterials and Biomedical Engineering, 44. pp. 51-61. ISSN 2296-9845 https://www.scientific.net/JBBBE.44.51 10.4028/www.scientific.net/JBBBE.44.51
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TA164 Bioengineering
TA168 Systems engineering
spellingShingle TA164 Bioengineering
TA168 Systems engineering
Jumahat, Shaliza
Gan, Kok Beng
Misran, Norbahiah
Islam, Mohammad Tariqul
Mahri, Nurhafizah
Ja'afar, Mohd. Hasni
Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach
description The QT interval on the electrocardiogram (ECG) signal is known to have an important role in monitoring heart’s electrical activity because the presence of QT interval prolongation can be associated with life-threatening cardiac events. This interval can be identified and measured using either manual or automated techniques. Currently, studies on automated QT interval measurement algorithms are becoming a growing field, as they can provide the best solution to overcome misdiagnosis and timely issues resulting from manual identification. However, the physiological variability of the QRS complex and the fluctuation of the isoelectric line are prevalent issues that need to be considered in the automatic method. In this report, an algorithm to identify the QRS onset and T-wave offset for measuring the corrected QT interval (QTc) is proposed. This method uses an improved Pan-Tompkins algorithm from the previous work with independent of the isoelectric line approach for detecting the QRS onset and the T offset. The algorithm was implemented in Matlab and applied to the 60 seconds duration of 27 records in the PPUKM database with a sampling frequency of 500 Hz. The performance of the algorithm achieved a sensitivity of 100% for QRS onset detection and 100% for T offset detection. As for the accuracy, the algorithm’s performance obtained 100% for QRS onset detection and 99.56% for T offset detection. The mean error results with respect to manual annotation were 37±18.5 ms for QRS onset detection and 32±22.3 ms for T offset detection which was within ANSI/AAMI-EC57:1998 standard tolerance. The proposed algorithm exhibits reliable automated QTc measurement. Besides insensitive to morphological variations of ECG waves, the computational method is simple and possibly implemented as the basis for future software development for portable device applications.
format Article
author Jumahat, Shaliza
Gan, Kok Beng
Misran, Norbahiah
Islam, Mohammad Tariqul
Mahri, Nurhafizah
Ja'afar, Mohd. Hasni
author_facet Jumahat, Shaliza
Gan, Kok Beng
Misran, Norbahiah
Islam, Mohammad Tariqul
Mahri, Nurhafizah
Ja'afar, Mohd. Hasni
author_sort Jumahat, Shaliza
title Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach
title_short Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach
title_full Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach
title_fullStr Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach
title_full_unstemmed Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach
title_sort automated qt interval measurement using modified pan-tompkins algorithm with independent isoelectric line approach
publisher Trans Tech Publications
publishDate 2020
url http://irep.iium.edu.my/79098/7/79098%20Automated%20QT%20Interval%20Measurement%20Using%20Modified%20Pan-Tompkins.pdf
http://irep.iium.edu.my/79098/8/79098%20Automated%20QT%20Interval%20Measurement%20Using%20Modified%20Pan-Tompkins%20SCOPUS.pdf
http://irep.iium.edu.my/79098/
https://www.scientific.net/JBBBE.44.51
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score 13.211869

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