Wessel N, Malberg H, Bauernschmitt R, Schirdewan A, Kurths J. Nonlinear additive autoregressive model-based analysis of short-term heart rate variability.
Med Biol Eng Comput 2006;
44:321-30. [PMID:
16937173 DOI:
10.1007/s11517-006-0038-0]
[Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2005] [Accepted: 02/27/2006] [Indexed: 12/19/2022]
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.
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