Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575067
