Network centrality and multiscale transition asymmetry in the heart rate variability analysis of normal and preeclamptic pregnancies

• Type: Article in International Scientific Journal
• Date: 2011

Authors

Tejera, E (Author) Other; Rodrigues, AI (Author) Other; Areias, MJ (Author) Other; Rebelo, I (Author) FFUP; Nieto Villar, JM (Author) Other

Journal

Title: Communications in Nonlinear Science and Numerical Simulation

Vol. 16 No. 2

Pages: 1589-1596

ISSN: 1007-5704

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 3 Citations

Scientific classification

FOS: Engineering and technology > Mechanical engineering

Other information

Authenticus ID: P-002-V1S

DOI: 10.1016/j.cnsns.2010.07.009

Abstract (EN): In the present work we define and apply a new methodology for the analysis of time series that involves a network representation. In this methodology, time series are transformed into a network with the subsequent calculation of some centrality indexes as well as the asymmetry of the transition frequency matrix, across different scales. The properties of the proposed indexes were analyzed with short-length simulated and physiological time series. In this case, we use RR time intervals, obtained from electrocardiographic records. The proposed indexes are compared with common complexity indexes in the analysis of the RR time series in normal and preeclamptic pregnancies.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8