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

Authors

Ramírez Ávila,  G. M.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Gapelyuk,  A.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

/persons/resource/Marwan

Marwan,  Norbert
Potsdam Institute for Climate Impact Research;

Stepan,  H.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

Walther,  T.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Wessel,  N.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

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Citation

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


Cite as: https://publications.pik-potsdam.de/pubman/item/item_18992
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