Nonlinear characterization and complexity analysis of cardiotocographic examinations using entropy measures-Reference-Cited by-同舟云学术

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Nonlinear characterization and complexity analysis of cardiotocographic examinations using entropy measures

Published:2018-09-04 Issue:2 Volume:76 Page:1305-1320
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Marques João Alexandre Lobo,Cortez Paulo C.,Madeiro João P. V.,de Albuquerque Victor Hugo C.,Fong Simon James,Schlindwein Fernando S.

Funder

CNPQ - Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11227-018-2570-8.pdf

Reference25 articles.

1. Savi MA (2006) Nonlinear Dynamics and Chaos. E-papers

2. Skinner JE, Molnar M, Vybiral T, Mitra M (1992) Application of chaos theory to biology and medicine. Integr Physiol Behav Sci 27:39–53

3. Albuquerque VHC, Nunes TM, Pereira DR, Luz EJS, Menotti D, Papa JP, Tavares JMRS (2018) Robust automated cardiac arrythmia detection in ECG beat signals. Neural Comput Appl 29:679–693

4. Hussein AF, Kumar A, Burbano-Fernandez M, Ramirez-Gonzalez G, Abdulhay E, de Albuquerque VHC (2018) An automated remote cloud-based heart rate variability monitoring system. IEEE Access. https://doi.org/10.1109/ACCESS.2018.2831209

5. Luz EJS, Nunes TM, Albuquerque VHC, Papa JP, Menotti D (2013) ECG arrhythmia classification based on optimum-path forest. Expert Syst Appl 40:3561–3573

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