Pulse Rate and Transit Time Analysis to Predict Hypotension Events After Spinal Anesthesia During Programmed Cesarean Labor-Reference-Cited by-同舟云学术

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Pulse Rate and Transit Time Analysis to Predict Hypotension Events After Spinal Anesthesia During Programmed Cesarean Labor

Published:2017-07-11 Issue:9 Volume:45 Page:2253-2263
ISSN:0090-6964
Container-title:Annals of Biomedical Engineering
language:en
Short-container-title:Ann Biomed Eng

Author:

Bolea Juan,Lázaro Jesús,Gil Eduardo,Rovira Eva,Remartínez José M.,Laguna Pablo,Pueyo Esther,Navarro Augusto,Bailón Raquel

Funder

Ministerio de Economía y Competitividad

European Social Fund

Instituto de Salud Carlos III

European Regional Development Fund

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering

Link

http://link.springer.com/article/10.1007/s10439-017-1864-y/fulltext.html

Reference42 articles.

1. Akselrod, S., D. Gordon, F. A. Ubel, D. C. Shannon, A. C. Berger, and R. J. Cohen. Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. Science 213(4504):220–222, 1981.

2. Allen, T. K., R. B. George, W. D. White, H. A. Muir, and A. S. Habib. A double-blind, placebo-controlled trial of four fixed rate infusion regimens of phenylephrine for hemodynamic support during spinal anesthesia for cesarean delivery. Anesth. Analg. 111(5):1221–1229, 2010.

3. Bailon, R., P. Laguna, L. Mainardi, and L. Sornmo. Analysis of heart rate variability using time-varying frequency bands based on respiratory frequency. Conf. Proc. IEEE Eng. Med. Biol. Soc., pp. 6675–6678, 2007.

4. Bailón, R., G. Laouini, C. Grao, M. Orini, P. Laguna, and O. Meste. The integral pulse frequency modulation model with time-varying threshold: application to heart rate variability analysis during exercise stress testing. IEEE Trans. Biomed. Eng. 58(3):642–652, 2011.

5. Betrán, A. P., J. Ye, A.-B. Moller, J. Zhang, A. M. Gülmezoglu, and M. R. Torloni. The increasing trend in caesarean section rates: global, regional and national estimates: 1990–2014. PLoS One 11(2):e0148343, 2016.

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