Investigations of Cardiac Rhythm Fluctuation Using the DFA Method

Lavinia Slabu, Catalina Negoita, Anca-Larisa Sandu-Giuraniuc, Liviu Amariei, Constantin Corduneanu, Ioan Grosu

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

1 Citation (Scopus)

Abstract

Considering the highly nonlinear and non stationary features of the ECG signal proven by latest researches, the most appropriate methods of analysis are based also on the nonlinear dynamics; we used a modified root mean square analysis of a random walk, named detrended fluctuations analysis (DFA), which proved efficacy as a diagnostic tool and advantages over existing related methods. Our studies were conducted on two groups of young and old subjects, in total 24 patients, with the different behavior being related to the underlying dynamics of the heartbeat. We compare the data results using the DFA method: first when a line segment is fitted and second, when a quadratic polynomial is fitted in the least-squares sense Applications of this analysis may lead to new and safe diagnosis for patients and to evaluation of the patient status in systemic diseases that may affect in time the cardiovascular system.
Original languageEnglish
Title of host publication2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE Explore
Pages530-533
Number of pages6
Volume1
ISBN (Print)0-7803-7211-5
DOIs
Publication statusPublished - 25 Oct 2001
Externally publishedYes
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey, Turkey
Duration: 25 Oct 200128 Oct 2001

Publication series

NameProceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE
ISSN (Print)1094-687X

Conference

Conference23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Country/TerritoryTurkey
Period25/10/0128/10/01

Keywords

  • Cardiac rhythm
  • Heart rate variability
  • Nonlinear dynamics
  • Detrended Fluctuation Analysis

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