Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/4856
Title: Surrogate test for pseudoperiodic time series data
Authors: Small, M
Yu, D
Harrison, RG
Keywords: Algorithms
Approximation theory
Computer simulation
Electrocardiography
Mathematical models
Random processes
Vectors
White acoustic noise
Issue Date: 29-Oct-2001
Publisher: American Physical Society
Source: Physical review letters, 29 Oct. 2001, v. 87, no. 18, 188101, p. 1-4 How to cite?
Journal: Physical review letters 
Abstract: For time series exhibiting strong periodicities, standard (linear) surrogate methods are not useful. We describe a new algorithm that can test against the null hypothesis of a periodic orbit with uncorrelated noise. We demonstrate the application of this method to artificial data and experimental time series, including human electrocardiogram recordings during sinus rhythm and ventricular tachycardia.
URI: http://hdl.handle.net/10397/4856
ISSN: 0031-9007 (print)
1079-7114 (online)
DOI: 10.1103/PhysRevLett.87.188101
Rights: Physical Review Letters © 2001 The American Physical Society. The Journal's web site is located at http://prl.aps.org/
Appears in Collections:Journal/Magazine Article

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