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KMID : 1000620050030020017
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International Journal of Vascular Biomedical Engineering
2005 Volume.3 No. 2 p.17 ~ p.24
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New Methodology to Develop Multi-parametric Measure of Heart Rate Variability Diagnosing Cardiovascular Disease
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Jin Seung-Hyun
Kim Wuon-Shik
Park Yong-Ki
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Abstract
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The main purpose of our study is to propose a new methodology to develop the multi-parametric measure including linear and nonlinear measures of heart rate variability diagnosing cardiovascular disease. We recorded electrocardiogram for three recumbent postures; the supine, left lateral, and right lateral postures. Twenty control subjects (age: years), 51 patients with angina pectoris (age: years) and 13 patients with acute coronary syndrome (age: years) participated in this study. To develop the multi-parametric measure of HRV, we used the multiple discriminant analysis method among statistical techniques. As a result, the multiple discriminant analysis gave 75.0% of goodness of fit. When the linear and nonlinear measures of HRV are individually used as a clinical tool to diagnose cardiac autonomic function, there is quite a possibility that the wrong results will be obtained due to each measure has different characteristics. Although our study is a preliminary one, we suggest that the multi-parametric measure, which takes into consideration the whole possible linear and nonlinear measures of HRV, may be helpful to diagnose the cardiovascular disease as a diagnostic supplementary tool.
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KEYWORD
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Multiple discriminant analysis, Linear analysis, Nonlinear analysis, Multi-parametric measure of heart rate variability
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