Nonlinear dynamics in heart rate variability

Author

Beckers, F. ; Ramaekers, D. ; Aubert, AE

Author_Institution

Dept. of Cardiology, Katholieke Univ., Leuven, Belgium

fYear

2000

fDate

2000

Firstpage

131

Lastpage

134

Abstract

The aim of the present study was to examine the influence of data length on the values of fractal dimension (FD), Lyapunov exponent (LE) and approximate entropy (ApEn) and to apply these techniques in a healthy population. There was no significant difference between long- and short-term recordings in the methods used, except when using FD without a windowing function. There was a significant difference between day and night values of FD (p<0.005) and ApEn showed a difference between standing and supine position (p<0.01). These results indicate a possible relation with the autonomic regulation of heart rate for FD and ApEn, while the LE seems to be an inherent to the system. The results presented indicate that these methods can be used on both long and short recordings. This could be useful in the clinical situation

Keywords

electrocardiography; entropy; fractals; medical signal processing; ECG analysis; Lyapunov exponent; approximate entropy; autonomic regulation; clinical situation; electrodiagnostics; fractal dimension; heart rate; heart rate variability; long-term recordings; nonlinear dynamics; short-term recordings; standing position; supine position; Cardiology; Electrocardiography; Entropy; Fluctuations; Fractals; Frequency domain analysis; Heart rate; Heart rate variability; Instruments; USA Councils;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 2000

Conference_Location

Cambridge, MA

ISSN

0276-6547

Print_ISBN

0-7803-6557-7

Type

conf

DOI

10.1109/CIC.2000.898473

Filename

898473