Fractal behavior of heart rate variability during ECG stress test in cardiac patients

G. D'Addio, M. Romano, L. Maresca, P. Bifulco, E. Fornasa, F. Giallauria, M. Cesarelli, C. Vigorito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Linear measures of heart rate variability (HRV) during ECG stress test has been widely questioned due to the high signal non-stationary. Such limitations can be overcome by nonlinear measures of HRV based on typical properties of chaotic systems and deterministic fractal. Very few paper addressed such issue and aim of the paper is to describe fractal behavior of HRV during exercise. A fractal analysis by Higuchi's algorithm (FD) has been performed on 26 cardiac patients during resting, stress, early and late recovery phases of ECG stress test. Results showed a significant FD increasing values from resting to stress phase that was not recovered at all immediately after the exercise, and it was slightly recovered both during early and late recovery phase. The performance of fractal analysis of HRV during and after high intensity exercise suggests that it could be a useful index assessing relevant information about underlying physiological recovery.

Original languageEnglish
Title of host publication2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
PublisherIEEE Computer Society
Pages155-156
Number of pages2
ISBN (Print)9781479939695
DOIs
Publication statusPublished - 2014
Event2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 - Trento, Italy
Duration: May 25 2014May 28 2014

Other

Other2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
CountryItaly
CityTrento
Period5/25/145/28/14

ASJC Scopus subject areas

  • Biomedical Engineering

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    D'Addio, G., Romano, M., Maresca, L., Bifulco, P., Fornasa, E., Giallauria, F., Cesarelli, M., & Vigorito, C. (2014). Fractal behavior of heart rate variability during ECG stress test in cardiac patients. In 2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 (pp. 155-156). [6847566] IEEE Computer Society. https://doi.org/10.1109/ESGCO.2014.6847566