Comparison of nonlinear indices in analyses of heart rate variability

Author

Li, Cheng ; Tang, Da-Kan ; Zheng, Da-An. ; Ding, Guang-Hong ; Poon, Chi-Sang ; Wu, Guo-Qiang

Author_Institution

Department of Mechanics and Engineering, Science of Fudan University, Shanghai, 200032 China

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

2145

Lastpage

2148

Abstract

Recent advances in study of heart rate variability (HRV) call for a paradigm shift from linear to nonlinear analysis. However, whether HRV per se is chaotic or merely random has remained an open problem. Myriad idealized measures of nonlinear dynamics or fractals which have been proposed in the literatures to characterize HRV are limited by their sensitivity to discernable noise. In this work, we compare the robustness of some nonlinear indices and evaluate their applicability to HRV analysis in the presence of noise.

Keywords

Chaos; Fluctuations; Fractals; Frequency; Hafnium; Heart rate variability; Noise measurement; Parasympathetic nervous system; Testing; Time series analysis; Algorithms; Electrocardiography; Entropy; Fractals; Heart Rate; Humans; Models, Cardiovascular; Nonlinear Dynamics; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4649618

Filename

4649618