Measures of complexity derived from automata theory for characterising cardiological time series

Kirchner J, Meyer W, Schwab J, Hensel B (2005)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2005

Journal

Biomedizinische Technik. Biomedical engineering Walter de Gruyter

Book Volume: 50

Pages Range: 137-138

Journal Issue: Suppl. 1, part 1

Abstract

In order to obtain information about the regulatory mechanisms of the human cardiovascular system, measures of complexity are used to characterise heart rate variability. A method introduced by Crutchfield and Young [1] for constructing an abstract automaton, which produces a given time series, is applied to cardiological data. We use measures of complexity derived from this model to detect differences between patients with congestive heart failure (CHF) and a reference group of healthy persons.

Authors with CRIS profile

Jens Kirchner Lehrstuhl für Technische Elektronik Bernhard Hensel Max Schaldach-Stiftungsprofessur für Biomedizinische Technik

Involved external institutions

BIOTRONIK SE & Co. KG DE Germany (DE)

How to cite

APA:

Kirchner, J., Meyer, W., Schwab, J., & Hensel, B. (2005). Measures of complexity derived from automata theory for characterising cardiological time series. Biomedizinische Technik. Biomedical engineering, 50(Suppl. 1, part 1), 137-138.

MLA:

Kirchner, Jens, et al. "Measures of complexity derived from automata theory for characterising cardiological time series." Biomedizinische Technik. Biomedical engineering 50.Suppl. 1, part 1 (2005): 137-138.

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