A complexity measure of heart rate variability in time domain

Author

Lee, B.C. ; Jeong, K.S. ; Lee, M.H. ; Shin, K.S. ; Minamitani, H.

Author_Institution

Dept. of Electr. Eng., Yonsei Univ., Seoul, South Korea

Volume

1

fYear

1995

fDate

20-25 Sep 1995

Firstpage

195

Abstract

Describes a complexity measure algorithm based on nonlinear dynamics (chaos theory). We have proposed a fractal dimension-1 and fractal dimension-2 algorithm with a digital filter for quantifying complexity or regularity of the biomedical signal. The approximate entropy algorithm, which measures the system regularity, is also compared. These quantified complexity measures may provide useful information about human physiology

Keywords

biocontrol; chaos; digital filters; electrocardiography; entropy; filtering theory; fractals; medical signal processing; neurophysiology; nonlinear dynamical systems; time series; time-domain analysis; ECG; QRS complexes; approximate entropy algorithm; autonomic nervous system activity; biomedical signal; chaos theory; complexity measure; complexity measure algorithm; digital filter; fractal dimension-1 algorithm; fractal dimension-2 algorithm; heart rate variability; human physiology; nonlinear dynamics; system regularity; time domain; Biomedical measurements; Chaos; Digital filters; Entropy; Fractals; Heart rate variability; Humans; Nonlinear dynamical systems; Physiology; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.575067

Filename

575067