학술논문

Some results on a fractal-like behaviour of ECG signals
Document Type
Conference
Source
Proceedings. Computers in Cardiology 1988 Computers in Cardiology, 1988. Proceedings.. :421-424 1988
Subject
Bioengineering
Computing and Processing
Signal Processing and Analysis
Fractals
Electrocardiography
Frequency
Chaos
Sampling methods
Heart rate
Shape
Noise shaping
Heart rate variability
Linear systems
Language
Abstract
Electrocardiograms (ECGs) of two normal subjects were studied using methods of nonlinear dynamics, both in supine rest and standing up. For each signal, the authors computed power spectrum, phase-space portrait, and correlation dimension. They found that the power spectrum shows a 1/f behavior at high frequencies, and that the correlation dimension is 4.7+or-0.3, suggesting fractal behavior of ECG signals.ETX