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Healthc Inform Res > Volume 6(4); 2000 > Article
Journal of Korean Society of Medical Informatics 2000;6(4):165-173.
DOI: https://doi.org/10.4258/jksmi.2000.6.4.165    Published online December 31, 2000.
A Comparative Analysis of Heart Rate Variability of Electrocardiogram and Pulse-wave Using Time Series
Nag Hwan Kim, Eun Sil Lee, Hong Ki Min, Eung Huk Lee, Seung Hong Hong
1Department of Electronic Engineering, Inha University, Korea.
2Department of Information and Telecommunication Engineering, University, Korea.
3Department of Electronic Engineerign, Korea Polytechnic University, Korea.

The estimation of power spectrum based on the heart rate variability is studied to evaluate the variation of the tension and physiological workloads by the activity of the autonomic system as evaluation parameter. In this paper, we made an attempt to apply the pulse wave to estimate the variation of physiological condition quantitatively instead of the evaluation of power spectrum of HRV through electrocardiogram in the past by comparing and analyzing time series data for the similarity of the heart rate of electrocardiogram and pulse wave. For the similarity of two signals, we can get the likeness by calculating an average, a variance, a correlation coefficient, and the power peak and the shape of power spectral density from the time series data. In the experimental result, it is shown that same subject have a similar variation of time series and power spectrum density for electrocardiogram and pulse wave. As a result, it is expected to estimate a change of the tension and physical condition quantitatively through the evaluation of a power ~pectrum of HRV by Pulse Wave in the future.

Key Words: Heart Rate Variability, Autoregressive Model, Power Spectral Density
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