A refined multiscale self-entropy approach for the assessment of cardiac control complexity : application to long QT syndrome type 1 patients

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dc.contributor.authorBari, Vlastaen_ZA
dc.contributor.authorGirardengo, Giuliaen_ZA
dc.contributor.authorMarchi, Andreaen_ZA
dc.contributor.authorDe Maria, Beatriceen_ZA
dc.contributor.authorBrink, Paul A.en_ZA
dc.contributor.authorCrotti, Liaen_ZA
dc.contributor.authorSchwartz, Peter J.en_ZA
dc.contributor.authorPorta, Albertoen_ZA
dc.date.accessioned2018-01-25T09:24:08Z
dc.date.available2018-01-25T09:24:08Z
dc.date.issued2015-11-13
dc.descriptionCITATION: Bari, V., et al. 2015. A refined multiscale self-entropy approach for the assessment of cardiac control complexity : application to long QT syndrome type 1 patients. Entropy, 17(11):7768-7785, doi:10.3390/e17117768.
dc.descriptionThe original publication is available at http://www.mdpi.com
dc.description.abstractENGLISH ABSTRACT: The study proposes the contemporaneous assessment of conditional entropy (CE) and self-entropy (sE), being the two terms of the Shannon entropy (ShE) decomposition, as a function of the time scale via refined multiscale CE (RMSCE) and sE (RMSsE) with the aim at gaining insight into cardiac control in long QT syndrome type 1 (LQT1) patients featuring the KCNQ1-A341V mutation. CE was estimated via the corrected CE (CCE) and sE as the difference between the ShE and CCE. RMSCE and RMSsE were computed over the beat-to-beat series of heart period (HP) and QT interval derived from 24-hour Holter electrocardiographic recordings during daytime (DAY) and nighttime (NIGHT). LQT1 patients were subdivided into asymptomatic and symptomatic mutation carriers (AMCs and SMCs) according to the severity of symptoms and contrasted with non-mutation carriers (NMCs). We found that RMSCE and RMSsE carry non-redundant information, separate experimental conditions (i.e., DAY and NIGHT) within a given group and distinguish groups (i.e., NMC, AMC and SMC) assigned the experimental condition. Findings stress the importance of the joint evaluation of RMSCE and RMSsE over HP and QT variabilities to typify the state of the autonomic function and contribute to clarify differences between AMCs and SMCs.en_ZA
dc.description.urihttp://www.mdpi.com/1099-4300/17/11/7768
dc.description.versionPublisher's version
dc.format.extent18 pages : illustrationsen_ZA
dc.identifier.citationBari, V., et al. 2015. A refined multiscale self-entropy approach for the assessment of cardiac control complexity : application to long QT syndrome type 1 patients. Entropy, 17(11):7768-7785, doi:10.3390/e17117768
dc.identifier.issn1099-4300 (online)
dc.identifier.otherdoi:10.3390/e17117768
dc.identifier.urihttp://hdl.handle.net/10019.1/103092
dc.language.isoen_ZAen_ZA
dc.publisherMDPI
dc.rights.holderAuthors retain copyright
dc.subjectOrganization of informationen_ZA
dc.subjectHeart rate monitoringen_ZA
dc.subjectAutonomic nervous systemen_ZA
dc.subjectEntropyen_ZA
dc.subjectPhysiological monitoringen_ZA
dc.titleA refined multiscale self-entropy approach for the assessment of cardiac control complexity : application to long QT syndrome type 1 patientsen_ZA
dc.typeArticleen_ZA
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