Cuesta-Frau D - Search Results

1

What Can Biosignal Entropy Tell Us About Health and Disease? Applications in Some Clinical Fields.

Vargas B, Cuesta-Frau D, Ruiz-Esteban R, Cirugeda E, Varela M. Vargas B, et al. Nonlinear Dynamics Psychol Life Sci. 2015 Oct;19(4):419-36. Nonlinear Dynamics Psychol Life Sci. 2015. PMID: 26375934 Review.

2

Description of a portable wireless device for high-frequency body temperature acquisition and analysis.

Cuesta-Frau D, Varela M, Aboy M, Miró-Martínez P. Cuesta-Frau D, et al. Sensors (Basel). 2009;9(10):7648-63. doi: 10.3390/s91007648. Epub 2009 Sep 28. Sensors (Basel). 2009. PMID: 22408473 Free PMC article.

3

Development of a novel scheme for long-term body temperature monitoring: a review of benefits and applications.

Cuesta-Frau D, Varela-Entrecanales M, Valor-Perez R, Vargas B. Cuesta-Frau D, et al. J Med Syst. 2015 Apr;39(4):209. doi: 10.1007/s10916-015-0209-3. Epub 2015 Feb 19. J Med Syst. 2015. PMID: 25690997

4

Statistical models for fever forecasting based on advanced body temperature monitoring.

Jordan J, Miro-Martinez P, Vargas B, Varela-Entrecanales M, Cuesta-Frau D. Jordan J, et al. J Crit Care. 2017 Feb;37:136-140. doi: 10.1016/j.jcrc.2016.09.013. Epub 2016 Sep 27. J Crit Care. 2017. PMID: 27721181

5

Classification of glucose records from patients at diabetes risk using a combined permutation entropy algorithm.

Cuesta-Frau D, Miró-Martínez P, Oltra-Crespo S, Jordán-Núñez J, Vargas B, Vigil L. Cuesta-Frau D, et al. Comput Methods Programs Biomed. 2018 Oct;165:197-204. doi: 10.1016/j.cmpb.2018.08.018. Epub 2018 Sep 1. Comput Methods Programs Biomed. 2018. PMID: 30337074 Free article.

6

Classification of fever patterns using a single extracted entropy feature: A feasibility study based on Sample Entropy.

Cuesta-Frau D, Miró-Martínez P, Oltra-Crespo S, Molina-Picó A, Dakappa PH, Mahabala C, Vargas B, González P. Cuesta-Frau D, et al. Math Biosci Eng. 2019 Sep 30;17(1):235-249. doi: 10.3934/mbe.2020013. Math Biosci Eng. 2019. PMID: 31731349 Free article.

7

Detrended Fluctuation Analysis in the prediction of type 2 diabetes mellitus in patients at risk: Model optimization and comparison with other metrics.

Colás A, Vigil L, Vargas B, Cuesta-Frau D, Varela M. Colás A, et al. PLoS One. 2019 Dec 18;14(12):e0225817. doi: 10.1371/journal.pone.0225817. eCollection 2019. PLoS One. 2019. PMID: 31851681 Free PMC article.

8

Influence of glucometric 'dynamical' variables on duodenal-jejunal bypass liner (DJBL) anthropometric and metabolic outcomes.

Colás A, Varela M, Mraz M, Novak D, Cuesta-Frau D, Vigil L, Benes M, Pelikanova T, Haluzik M, Burda V, Vargas B. Colás A, et al. Diabetes Metab Res Rev. 2020 May;36(4):e3287. doi: 10.1002/dmrr.3287. Epub 2020 Feb 5. Diabetes Metab Res Rev. 2020. PMID: 31916665

9

Permutation Entropy and Bubble Entropy: Possible interactions and synergies between order and sorting relations.

Cuesta-Frau D, Vargas B. Cuesta-Frau D, et al. Math Biosci Eng. 2019 Dec 10;17(2):1637-1658. doi: 10.3934/mbe.2020086. Math Biosci Eng. 2019. PMID: 32233600 Free article.

10

Model Selection for Body Temperature Signal Classification Using Both Amplitude and Ordinality-Based Entropy Measures.

Cuesta-Frau D, Miró-Martínez P, Oltra-Crespo S, Jordán-Núñez J, Vargas B, González P, Varela-Entrecanales M. Cuesta-Frau D, et al. Entropy (Basel). 2018 Nov 6;20(11):853. doi: 10.3390/e20110853. Entropy (Basel). 2018. PMID: 33266577 Free PMC article.

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