Application of a New Robust ECG T-Wave Delineation Algorithm for the Evaluation of the Autonomic Innervation of the Myocardium

Matteo Cesari; Jesper Mehlsen; Anne-Birgitte Mehlsen; Helge Bjarup Dissing Sørensen

doi:10.1109/EMBC.2016.7591556

Application of a New Robust ECG T-Wave Delineation Algorithm for the Evaluation of the Autonomic Innervation of the Myocardium

Matteo Cesari
, Jesper Mehlsen
, Anne-Birgitte Mehlsen
, Helge Bjarup Dissing Sørensen

Copenhagen Center for Health Technology

Copenhagen University Hospital Frederiksberg and Bispebjerg
University of Copenhagen

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

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Abstract

T-wave amplitude (TWA) is a well know index of the autonomic innervation of the myocardium. However,
until now it has been evaluated only manually or with simple and inefficient algorithms. In this paper, we developed a new robust single-lead electrocardiogram (ECG) T-wave delineation algorithm that is able to detect the T-wave with a wavelet based method and automatically calculate the TWA. We evaluated the
algorithm on the QT database, achieving a sensitivity of 99.92% for the T wave peak and 99.38% for the T wave end. In addition, the percentage of records automatically delineated with high precision was higher than previous published works. Finally, the algorithm was applied to study the influence of anticholinergic
and antiadrenergic drugs (i.e. atropine and metoprolol) on the TWA. It was observed that atropine significantly decreased the TWA when compared to baseline level, that head-up tilt caused a decrease of TWA and that metoprolol blunted this decrease. Through the development of a robust algorithm, this study opens the way for further research on the T-wave analysis for the assessment of the autonomic innervation of the ventricular myocardium.

Original language	English
Title of host publication	Proceedings of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher	IEEE
Publication date	2016
Pages	3801-3804
Article number	ThCT3.21
ISBN (Print)	978-1-4577-0220-4
DOIs	https://doi.org/10.1109/EMBC.2016.7591556
Publication status	Published - 2016
Event	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, United States Duration: 16 Aug 2016 → 20 Aug 2016 Conference number: 38 http://embc.embs.org/2016/

Conference

Conference	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number	38
Country/Territory	United States
City	Orlando
Period	16/08/2016 → 20/08/2016
Internet address	http://embc.embs.org/2016/

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Cesari, M., Mehlsen, J., Mehlsen, A.-B., & Sørensen, H. B. D. (2016). Application of a New Robust ECG T-Wave Delineation Algorithm for the Evaluation of the Autonomic Innervation of the Myocardium. In Proceedings of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 3801-3804). Article ThCT3.21 IEEE. https://doi.org/10.1109/EMBC.2016.7591556

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title = "Application of a New Robust ECG T-Wave Delineation Algorithm for the Evaluation of the Autonomic Innervation of the Myocardium",

abstract = "T-wave amplitude (TWA) is a well know index of the autonomic innervation of the myocardium. However, until now it has been evaluated only manually or with simple and inefficient algorithms. In this paper, we developed a new robust single-lead electrocardiogram (ECG) T-wave delineation algorithm that is able to detect the T-wave with a wavelet based method and automatically calculate the TWA. We evaluated the algorithm on the QT database, achieving a sensitivity of 99.92\% for the T wave peak and 99.38\% for the T wave end. In addition, the percentage of records automatically delineated with high precision was higher than previous published works. Finally, the algorithm was applied to study the influence of anticholinergic and antiadrenergic drugs (i.e. atropine and metoprolol) on the TWA. It was observed that atropine significantly decreased the TWA when compared to baseline level, that head-up tilt caused a decrease of TWA and that metoprolol blunted this decrease. Through the development of a robust algorithm, this study opens the way for further research on the T-wave analysis for the assessment of the autonomic innervation of the ventricular myocardium. ",

author = "Matteo Cesari and Jesper Mehlsen and Anne-Birgitte Mehlsen and S{\o}rensen, \{Helge Bjarup Dissing\}",

year = "2016",

doi = "10.1109/EMBC.2016.7591556",

language = "English",

isbn = "978-1-4577-0220-4",

pages = "3801--3804",

booktitle = "Proceedings of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

publisher = "IEEE",

address = "United States",

note = "38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 ; Conference date: 16-08-2016 Through 20-08-2016",

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Cesari, M, Mehlsen, J, Mehlsen, A-B & Sørensen, HBD 2016, Application of a New Robust ECG T-Wave Delineation Algorithm for the Evaluation of the Autonomic Innervation of the Myocardium. in Proceedings of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society., ThCT3.21, IEEE, pp. 3801-3804, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida, United States, 16/08/2016. https://doi.org/10.1109/EMBC.2016.7591556

Application of a New Robust ECG T-Wave Delineation Algorithm for the Evaluation of the Autonomic Innervation of the Myocardium. / Cesari, Matteo; Mehlsen, Jesper; Mehlsen, Anne-Birgitte et al.
Proceedings of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2016. p. 3801-3804 ThCT3.21.

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

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T1 - Application of a New Robust ECG T-Wave Delineation Algorithm for the Evaluation of the Autonomic Innervation of the Myocardium

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AU - Mehlsen, Jesper

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AU - Sørensen, Helge Bjarup Dissing

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PY - 2016

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AB - T-wave amplitude (TWA) is a well know index of the autonomic innervation of the myocardium. However, until now it has been evaluated only manually or with simple and inefficient algorithms. In this paper, we developed a new robust single-lead electrocardiogram (ECG) T-wave delineation algorithm that is able to detect the T-wave with a wavelet based method and automatically calculate the TWA. We evaluated the algorithm on the QT database, achieving a sensitivity of 99.92% for the T wave peak and 99.38% for the T wave end. In addition, the percentage of records automatically delineated with high precision was higher than previous published works. Finally, the algorithm was applied to study the influence of anticholinergic and antiadrenergic drugs (i.e. atropine and metoprolol) on the TWA. It was observed that atropine significantly decreased the TWA when compared to baseline level, that head-up tilt caused a decrease of TWA and that metoprolol blunted this decrease. Through the development of a robust algorithm, this study opens the way for further research on the T-wave analysis for the assessment of the autonomic innervation of the ventricular myocardium.

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BT - Proceedings of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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T2 - 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 16 August 2016 through 20 August 2016

ER -

Application of a New Robust ECG T-Wave Delineation Algorithm for the Evaluation of the Autonomic Innervation of the Myocardium

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