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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/4856
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| Title: | Surrogate test for pseudoperiodic time series data |
| Authors: | Small, Michael
Yu, Dejin
Harrison, Robert G. |
| Subjects: | Algorithms
Approximation theory
Computer simulation
Electrocardiography
Mathematical models
Random processes
Vectors
White acoustic noise |
| Issue Date: | 29-Oct-2001 |
| Publisher: | American Physical Society |
| Citation: | Physical review letters, 29 Oct. 2001, v. 87, no. 18, 188101, p. 1-4. |
| 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. |
| Description: | 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/ |
| Type: | Journal/Magazine Article |
| URI: | http://hdl.handle.net/10397/4856 |
| ISSN: | 0031-9007 (print)
1079-7114 (online) |
| Appears in Collections: | EIE Journal/Magazine Articles
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