Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/81580
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Type: Conference paper
Title: Improved ECG pre-processing for beat-to-beat QT interval variability measurement
Author: Hasan, M.
Starc, V.
Porta, A.
Abbott, D.
Baumert, M.
Citation: Proceedings of the 35th Annual International Conference of the IEEE EMBS, 2013: pp.2563-2566
Publisher: IEEE
Publisher Place: USA
Issue Date: 2013
Series/Report no.: IEEE Engineering in Medicine and Biology Society Conference Proceedings
ISBN: 9781457702167
ISSN: 1557-170X
Conference Name: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (35th : 2013 : Osaka, Japan)
Statement of
Responsibility: 
Muhammad A. Hasan, Vito Starc, Alberto Porta, Derek Abbott and Mathias Baumert
Abstract: The aim of this study was to enhance the ECG pre-processing modalities for beat-to-beat QT interval variability measurement based on template matching. The R-peak detection algorithm has been substituted and an efficient baseline removal algorithm has been implemented in existing computer software. To test performance we used simulated ECG data with fixed QT intervals featuring Gaussian noise, baseline wander and amplitude modulation and two alternative algorithms. We computed the standard deviation of beat-to-beat QT intervals as a marker of QT interval variability (QTV). Significantly a lower beat-to-beat QTV was found in the updated approach compared the original algorithm. In addition, the updated template matching computer software outperformed the previous version in discarding fewer beats. In conclusion, the updated ECG preprocessing algorithm is recommended for more accurate quantification of beat-to-beat QT interval variability.
Rights: ©2013 IEEE
RMID: 0020130473
DOI: 10.1109/EMBC.2013.6610063
Appears in Collections:Electrical and Electronic Engineering publications

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