Classifying healthy women and preeclamptic patients from cardiovascular data 
using recurrence and complex network methods

Ramírez Ávila, G. M.; Gapelyuk, A.; Marwan, Norbert; Stepan, H.; Kurths, Jürgen; Walther, T.; Wessel, N.

doi:10.1016/j.autneu.2013.05.003

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Classifying healthy women and preeclamptic patients from cardiovascular data using recurrence and complex network methods

Ramírez Ávila, G. M., Gapelyuk, A., Marwan, N., Stepan, H., Kurths, J., Walther, T., Wessel, N. (2013): Classifying healthy women and preeclamptic patients from cardiovascular data using recurrence and complex network methods. - Autonomic Neuroscience, 178, 01. Feb, 103-110.
https://doi.org/10.1016/j.autneu.2013.05.003

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_18992 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_18992_2

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Creators:
Ramírez Ávila, G. M.¹, Author
Gapelyuk, A.¹, Author
Marwan, Norbert², Author
Stepan, H.¹, Author
Kurths, Jürgen², Author
Walther, T.¹, Author
Wessel, N.¹, Author

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1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13
2Potsdam Institute for Climate Impact Research, ou_persistent13

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Dates: Finally published : 2013

Publication Status: Finally published

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Identifiers: DOI: 10.1016/j.autneu.2013.05.003
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 6116

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Title: Autonomic Neuroscience

Source Genre: Journal

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Pages: - Volume / Issue: 178 (01. Feb) Sequence Number: - Start / End Page: 103 - 110 Identifier: -