Detection of ST-Segment Variation in ECG Using Transfer Entropy
Research output: Contribution to journal › Article › Scientific › peer-review
|Number of pages||4|
|Journal||Computing in Cardiology|
|Publication status||Published - 2018|
|Publication type||A1 Journal article-refereed|
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.