Voronoi Decomposition of Cardiovascular Dependency Structures in Different Ambient Conditions: An Entropy Study
Apstrakt
This paper proposes a method that maps the coupling strength of an arbitrary number of signals D, D >= 2, into a single time series. It is motivated by the inability of multiscale entropy to jointly analyze more than two signals. The coupling strength is determined using the copula density defined over a [0 1](D) copula domain. The copula domain is decomposed into the Voronoi regions, with volumes inversely proportional to the dependency level (coupling strength) of the observed joint signals. A stream of dependency levels, ordered in time, creates a new time series that shows the fluctuation of the signals' coupling strength along the time axis. The composite multiscale entropy (CMSE) is then applied to three signals, systolic blood pressure (SBP), pulse interval (PI), and body temperature (t(B)), simultaneously recorded from rats exposed to different ambient temperatures (t(A)). The obtained results are consistent with the results from the classical studies, and the method itself off...ers more levels of freedom than the classical analysis.
Ključne reči:
copula density / dependency structures / Voronoi decomposition / multiscale entropy / ambient temperature / telemetry / systolic blood pressure / pulse interval / thermoregulation / vasopressinIzvor:
Entropy, 2019, 21, 11Izdavač:
- Mdpi, Basel
Finansiranje / projekti:
- Razvoj multivarijabilnih metoda za analitičku podršku biomedicinskoj dijagnostici (RS-32040)
- EU COST-Action CA15104-Body Communications group
- Funkcionalna genomika hipotalamusa i medule u hipertenziji indukovanoj hroničnim stresom (RS-41013)
DOI: 10.3390/e21111103
ISSN: 1099-4300
WoS: 000502145000076
Scopus: 2-s2.0-85075478433
Kolekcije
Institucija/grupa
Stomatološki fakultetTY - JOUR AU - Bajić, Dragana AU - Skorić, Tamara AU - Milutinović-Smiljanić, Sanja AU - Japundžić-Žigon, Nina PY - 2019 UR - https://smile.stomf.bg.ac.rs/handle/123456789/2418 AB - This paper proposes a method that maps the coupling strength of an arbitrary number of signals D, D >= 2, into a single time series. It is motivated by the inability of multiscale entropy to jointly analyze more than two signals. The coupling strength is determined using the copula density defined over a [0 1](D) copula domain. The copula domain is decomposed into the Voronoi regions, with volumes inversely proportional to the dependency level (coupling strength) of the observed joint signals. A stream of dependency levels, ordered in time, creates a new time series that shows the fluctuation of the signals' coupling strength along the time axis. The composite multiscale entropy (CMSE) is then applied to three signals, systolic blood pressure (SBP), pulse interval (PI), and body temperature (t(B)), simultaneously recorded from rats exposed to different ambient temperatures (t(A)). The obtained results are consistent with the results from the classical studies, and the method itself offers more levels of freedom than the classical analysis. PB - Mdpi, Basel T2 - Entropy T1 - Voronoi Decomposition of Cardiovascular Dependency Structures in Different Ambient Conditions: An Entropy Study VL - 21 IS - 11 DO - 10.3390/e21111103 ER -
@article{ author = "Bajić, Dragana and Skorić, Tamara and Milutinović-Smiljanić, Sanja and Japundžić-Žigon, Nina", year = "2019", abstract = "This paper proposes a method that maps the coupling strength of an arbitrary number of signals D, D >= 2, into a single time series. It is motivated by the inability of multiscale entropy to jointly analyze more than two signals. The coupling strength is determined using the copula density defined over a [0 1](D) copula domain. The copula domain is decomposed into the Voronoi regions, with volumes inversely proportional to the dependency level (coupling strength) of the observed joint signals. A stream of dependency levels, ordered in time, creates a new time series that shows the fluctuation of the signals' coupling strength along the time axis. The composite multiscale entropy (CMSE) is then applied to three signals, systolic blood pressure (SBP), pulse interval (PI), and body temperature (t(B)), simultaneously recorded from rats exposed to different ambient temperatures (t(A)). The obtained results are consistent with the results from the classical studies, and the method itself offers more levels of freedom than the classical analysis.", publisher = "Mdpi, Basel", journal = "Entropy", title = "Voronoi Decomposition of Cardiovascular Dependency Structures in Different Ambient Conditions: An Entropy Study", volume = "21", number = "11", doi = "10.3390/e21111103" }
Bajić, D., Skorić, T., Milutinović-Smiljanić, S.,& Japundžić-Žigon, N.. (2019). Voronoi Decomposition of Cardiovascular Dependency Structures in Different Ambient Conditions: An Entropy Study. in Entropy Mdpi, Basel., 21(11). https://doi.org/10.3390/e21111103
Bajić D, Skorić T, Milutinović-Smiljanić S, Japundžić-Žigon N. Voronoi Decomposition of Cardiovascular Dependency Structures in Different Ambient Conditions: An Entropy Study. in Entropy. 2019;21(11). doi:10.3390/e21111103 .
Bajić, Dragana, Skorić, Tamara, Milutinović-Smiljanić, Sanja, Japundžić-Žigon, Nina, "Voronoi Decomposition of Cardiovascular Dependency Structures in Different Ambient Conditions: An Entropy Study" in Entropy, 21, no. 11 (2019), https://doi.org/10.3390/e21111103 . .