학술논문
Nonlinear additive autoregressive model-based analysis of short-term heart rate variability.
Document Type
Journal Article
Author
Source
Subject
*NONLINEAR statistical models
*HEART beat
*HEART rate monitoring
*CARDIOMYOPATHIES
*REGRESSION analysis
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Language
ISSN
0140-0118
Abstract
In this contribution we test the hypothesis that nonlinear additive autoregressive model-based data analysis improves the diagnostic ability based on short-term heart rate variability. For this purpose, a nonlinear regression approach, namely, the maximal correlation method is applied to the data of 37 patients with dilated cardiomyopathy as well as of 37 age- and sex-matched healthy subjects. We find that this approach is a powerful tool in discriminating both groups and promising for further model-based analyses. [ABSTRACT FROM AUTHOR]