Title :
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
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;
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
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804060
