The role of self-similar and fractal heart rate variability properties in the early diagnosis of cardiovascular diseases

Author

Signorini, M.G. ; Cerutti, Sergio

Author_Institution

Dipt. di Bioingegneria, Politecnico di Milano, Italy

Volume

2

fYear

1999

fDate

36434

Abstract

The paper analyzes the Heart Rate Variability (HRV) signal by measuring long period correlation and self-similarity properties. The analysis performs the computation of the Hurst (H) self-similarity exponent. We study the HRV signals of normal and heart failure patients for 24 h. Results confirm the presence of fractal and self-similar characteristics in the HRV signal and show that the H parameter can significantly differentiate between healthy vs. pathological subjects

Keywords

cardiovascular system; diseases; electrocardiography; fractals; medical signal processing; pattern classification; time series; 24 h; HRV signal; Heart Rate Variability; Hurst self-similarity exponent; cardiovascular diseases; early diagnosis; fractal heart rate variability properties; healthy subjects; heart failure patients; long period correlation; normal patients; pathological subjects; self-similarity properties; Cardiovascular diseases; Doped fiber amplifiers; Fractals; Geometry; Heart rate variability; Pathology; Performance analysis; Signal analysis; Signal processing; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.804060

Filename

804060