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Detection of ST-Segment Variation in ECG Using Transfer Entropy

Research output: Contribution to journalArticleScientificpeer-review


Original languageEnglish
Number of pages4
JournalComputing in Cardiology
Publication statusPublished - 2018
Publication typeA1 Journal article-refereed


Many severe heart dysfunctions cause changes in the ST-segment of ECG. We hypothesize that the change in ST affects the degree of coupling between the QT time intervals and the heart rate (HR, inverse of the inter-beat interval RR). Therefore, we analyze the informational transfer between the coupled dynamics of QT and RR to detect the ST segment variation. We use the transfer entropy method allowing for a quantitative and uni-directional measure of coupling between two temporal processes. We analyze the data from ST variation patients and normal individuals. We show that the RR-to-QT information transfer for the ST
group is larger than the corresponding transfer for the normal group. This indicates a larger degree of uncertainty in QT dependence on RR. Moreover, on average the segments of ST-episodes have the associated RR-to-QT transfer larger than the non-ST episodes. Finally, we demonstrate that the ratio between intra- and inter-subject diversity of the QT-RR relationship can have a characteristic value for the segments of ST episodes. We conclude that the degree of interdependence between QT and RR can be a marker of the ST variation pathology.

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Field of science, Statistics Finland

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