NDLI: Novel Bayesian Vectorcardiographic Loop Alignment for Improved Monitoring of ECG and Fetal Movement

Content Provider	IEEE Xplore Digital Library
Author	Vullings, R. Mischi, M. Oei, S.G. Bergmans, J.W.M.
Copyright Year	1964
Abstract	The continuous analysis of electrocardiographic (ECG) signals is complicated by morphological variability in the ECG due to movement of the heart. By aligning vectorcardiographic loops, movement-induced ECG variations can be partly corrected for. Existing methods for loop alignment can account for loop rotation, scaling, and time delays, but they lack the possibility to include a priori information on any of these transformations, and they are unreliable in case of low-quality signals, such as fetal ECG signals. The inclusion of a priori information might aid in the robustness of loop alignment and is, hence, proposed in this paper. We provide a generic Bayesian framework to derive our loop alignment method. In this framework, existing methods can be readily derived as well, as a simplification of our method. The loop alignment is evaluated by comparing its performance in loop alignment to two existing methods, for both adult and fetal ECG recordings. For the adult ECG recordings, a quantitative performance assessment shows that the developed method outperforms the existing method in terms of robustness. For the fetal ECG recordings, it is demonstrated that the developed method can be used to correct ECG signals for movement-induced morphology changes (enabling diagnostics) and that the method is capable of classifying recorded ECG signals to periods of fetal movement or rest (p <; 0.01). This information on fetal movement can also serve as a valuable diagnostic tool.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	9
File Size	802224
Starting Page	1580
Ending Page	1588
File Format	PDF
ISSN	00189294
Volume Number	60
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrocardiography Noise Noise measurement Probability distribution Maximum likelihood estimation Synchronization vector cardiogram Biomedical signal processing electrocardiography expectation-maximization algorithms fetal movement loop alignment
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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