Principal Component Analysis, Quantifying, and Filtering of Poincaré Plots for time series typal for E-health-Reference-Cited by-同舟云学术

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Principal Component Analysis, Quantifying, and Filtering of Poincaré Plots for time series typal for E-health

Published:2021 Issue: Volume: Page:61-76
ISSN:1860-949X
Container-title:Health Informatics: A Computational Perspective in Healthcare
language:
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Author:

Chuiko Gennady^ORCID,Dvornik Olga^ORCID,Darnapuk Yevhen^ORCID,Krainyk Yaroslav^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-9735-0_4

Reference51 articles.

1. Poincaré Recurrence Theorem (1890–1897), 2001, http://www.math.umd.edu/~lvrmr/History/Recurrence.html. Last accessed 25 Feb 2020.

2. Nadkarni, M. G. (2013). The Poincaré recurrence lemma. In Basic ergodic theory. Texts and readings in mathematics (Vol. 6, pp. 1–12). Gurgaon: Hindustan Book Agency (2013). https://doi.org/10.1007/978-93-86279-53-8_1.

3. Carathéodory, C.: Über den Wiederkehrsatz von Poincaré., Sitzungsber. Preuß. Akad. d Wiss. Berlin, math-phys. KI. 1919, pp. 580–584 (1919) (in German).

4. Marwan, N. (2008). A historical review of recurrence plots. The European Physical Journal Special Topics, 164, 3–12. https://doi.org/10.1140/epjst/e2008-00829-1.

5. Yang, A. C.-C. (2006). Poincaré Plots: a mini-review, Physionet.Org. (2006) 16. https://archive.physionet.org/events/hrv-2006/yang.pdf. Last accessed February 25, 2020.

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