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Humboldt-Universität zu Berlin - Mathematisch-Naturwissen­schaft­liche Fakultät - Kardiovaskuläre Physik

Humboldt-Universität zu Berlin | Mathematisch-Naturwissen­schaft­liche Fakultät | Institut für Physik | Kardiovaskuläre Physik | Publications | Nonlinear additive autoregressive model-based analysis of short-term heart rate variability

N Wessel, H Malberg, R Bauernschmitt, A Schirdewan, and J Kurths (2006)

Nonlinear additive autoregressive model-based analysis of short-term heart rate variability

Med Biol Eng Comput, 44:321–330.

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.

[DOI:http://dx.doi.org/10.1007/s11517-006-0038-010.1007/s11517-006-0038-0] [PubMed:http://www.ncbi.nlm.nih.gov/pubmed/1693717316937173]