DocumentCode
2918796
Title
Methodology for multifractal analysis of heart rate variability: From LF/HF ratio to wavelet leaders
Author
Abry, P. ; Wendt, H. ; Jaffard, S. ; Helgason, H. ; Goncalvès, P. ; Pereira, E. ; Gharib, Cl ; Gaucherand, P. ; Doret, M.
fYear
2010
fDate
Aug. 31 2010-Sept. 4 2010
Firstpage
106
Lastpage
109
Abstract
The present contribution aims at proposing a comprehensive and tutorial introduction to the practical use of wavelet Leader based multifractal analysis to study heart rate variability. First, the theoretical background is recalled. Second, practical issues and pitfalls related to the selection of the scaling range or statistical orders, minimal regularity, parabolic approximation of spectrum and parameter estimation, are discussed. Third, multifractal analysis is connected explicitly to other standard characterizations of heart rate variability: (mono)fractal analysis, Hurst exponent, spectral analysis and the HF/LF ratio. This review is illustrated on real per partum fetal ECG data, collected at an academic French public hospital, for both healthy fetuses and fetuses suffering from acidosis.
Keywords
electrocardiography; fractals; medical signal processing; obstetrics; parameter estimation; spectral analysis; statistical analysis; wavelet transforms; HRV multifractal analysis; Hurst exponent; fetal ECG data; heart rate variability; low-high frequency ratio; minimal regularity; monofractal analysis; parameter estimation; scaling range; spectral analysis; spectrum parabolic approximation; statistical orders; wavelet leader based multifractal analysis; Fractals; Hafnium; Heart rate variability; Lead; Time series analysis; Wavelet analysis; Acidosis; Algorithms; Electrocardiography; Female; Fetal Monitoring; Fractals; Heart Rate; Humans; Linear Models; Pregnancy; Wavelet Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location
Buenos Aires
ISSN
1557-170X
Print_ISBN
978-1-4244-4123-5
Type
conf
DOI
10.1109/IEMBS.2010.5626124
Filename
5626124
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