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A complexity measure of heart rate variability in time domain

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.