Two-dimensional warping for one-dimensional signals - conceptual framework and application to ECG processing

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dc.contributor.authorSchmidt, M.
dc.contributor.authorBaumert, M.
dc.contributor.authorPorta, A.
dc.contributor.authorMalberg, H.
dc.contributor.authorZaunseder, S.
dc.date.issued2014
dc.description.abstractWe propose a novel method for evaluating the similarity between two 1d patterns. Our method, referred to as two-dimensional signal warping (2DSW), extends the basic ideas of known warping techniques such as dynamic time warping and correlation optimized warping. By employing two-dimensional piecewise stretching 2DSW is able to take into account inhomogeneous variations of shapes. We apply 2DSW to ECG recordings to extract beat-to-beat variability in QT intervals (QTV) that is indicative of ventricular repolarization lability and typically characterised by a low signal-to-noise ratio. Simulation studies show high robustness of our approach in presence of typical ECG artefacts. Comparison of short-term ECG recorded in normal subjects versus patients with myocardial infarction (MI) shows significantly increased QTV in patients (normal subject 2.36 ms ± 1.05 ms vs. MI patients 5.94 ms ± 5.23 ms (mean ± std), p < 0.001 ). Evaluation of a standard QT database shows that 2DSW allows highly accurate tracking of QRS-onset and T-end. In conclusion, the two-dimensional warping approach introduced here is able to detect subtle changes in noisy quasi-periodic biomedical signals such as ECG and may have diagnostic potential for measuring repolarization lability in MI patients. In more general terms, the proposed method provides a novel means for morphological characterization of 1d signals.
dc.description.statementofresponsibilityMartin Schmidt, Mathias Baumert, Alberto Porta, Hagen Malberg, and Sebastian Zaunseder
dc.identifier.citationIEEE Transactions on Signal Processing, 2014; 62(21):5577-5588
dc.identifier.doi10.1109/TSP.2014.2354313
dc.identifier.issn1053-587X
dc.identifier.issn1941-0476
dc.identifier.orcidBaumert, M. [0000-0003-2984-2167]
dc.identifier.urihttp://hdl.handle.net/2440/97183
dc.language.isoen
dc.publisherIEEE
dc.rights© 2014 EU
dc.source.urihttps://doi.org/10.1109/tsp.2014.2354313
dc.subjectDynamic time warping; ECG; QT; QT interval; QT variability; signal processing; two-dimensional warping; warping
dc.titleTwo-dimensional warping for one-dimensional signals - conceptual framework and application to ECG processing
dc.typeJournal article
pubs.publication-statusPublished

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