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Bivariate entropy analysis of electrocardiographic rr–qt time series

Shi, B, Motin, MA, Wang, X, Karmakar, Chandan and Li, P 2020, Bivariate entropy analysis of electrocardiographic rr–qt time series, Entropy, vol. 22, no. 12, pp. 1-9, doi: 10.3390/e22121439.

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Title Bivariate entropy analysis of electrocardiographic rr–qt time series
Author(s) Shi, B
Motin, MA
Wang, X
Karmakar, ChandanORCID iD for Karmakar, Chandan orcid.org/0000-0003-1814-0856
Li, P
Journal name Entropy
Volume number 22
Issue number 12
Article ID 1439
Start page 1
End page 9
Total pages 9
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2020
ISSN 1099-4300
1099-4300
Keyword(s) Science & Technology
Physical Sciences
Physics, Multidisciplinary
Physics
cross entropy
joint distribution entropy
RR–
QT relationship
ambulatory monitoring
HEART-RATE CORRECTION
INTERVAL VARIABILITY
REPOLARIZATION LABILITY
APPROXIMATE ENTROPY
RR–QT relationship
Summary QT interval variability (QTV) and heart rate variability (HRV) are both accepted biomarkers for cardiovascular events. QTV characterizes the variations in ventricular depolarization and repolarization. It is a predominant element of HRV. However, QTV is also believed to accept direct inputs from upstream control system. How QTV varies along with HRV is yet to be elucidated. We studied the dynamic relationship of QTV and HRV during different physiological conditions from resting, to cycling, and to recovering. We applied several entropy-based measures to examine their bivariate relationships, including cross sample entropy (XSampEn), cross fuzzy entropy (XFuzzyEn), cross conditional entropy (XCE), and joint distribution entropy (JDistEn). Results showed no statistically significant differences in XSampEn, XFuzzyEn, and XCE across different physiological states. Interestingly, JDistEn demonstrated significant decreases during cycling as compared with that during the resting state. Besides, JDistEn also showed a progressively recovering trend from cycling to the first 3 min during recovering, and further to the second 3 min during recovering. It appeared to be fully recovered to its level in the resting state during the second 3 min during the recovering phase. The results suggest that there is certain nonlinear temporal relationship between QTV and HRV, and that the JDistEn could help unravel this nuanced property.
Language eng
DOI 10.3390/e22121439
Indigenous content off
Field of Research 01 Mathematical Sciences
02 Physical Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30146876

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.