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Items: 17

1.

An individualised versus a conventional pneumoperitoneum pressure strategy during colorectal laparoscopic surgery: rationale and study protocol for a multicentre randomised clinical study.

Diaz-Cambronero O, Mazzinari G, Errando CL, Schultz MJ, Flor Lorente B, García-Gregorio N, Vila Montañés M, Robles-Hernández D, Olmedilla Arnal LE, Martín-De-Pablos A, Marqués Marí A, Argente Navarro MP; IPPCollapse-II study group.

Trials. 2019 Apr 3;20(1):190. doi: 10.1186/s13063-019-3255-1.

2.

Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation.

Cirugeda-Roldán EM, Molina Picó A, Novák D, Cuesta-Frau D, Kremen V.

Comput Math Methods Med. 2018 Jun 13;2018:1874651. doi: 10.1155/2018/1874651. eCollection 2018.

3.

A multifaceted individualized pneumoperitoneum strategy for laparoscopic colorectal surgery: a multicenter observational feasibility study.

Diaz-Cambronero O, Flor Lorente B, Mazzinari G, Vila Montañes M, García Gregorio N, Robles Hernandez D, Olmedilla Arnal LE, Argente Navarro MP, Schultz MJ, Errando CL; IPPColLapSe study group.

Surg Endosc. 2019 Jan;33(1):252-260. doi: 10.1007/s00464-018-6305-y. Epub 2018 Jun 27.

PMID:
29951750
4.

Noisy EEG signals classification based on entropy metrics. Performance assessment using first and second generation statistics.

Cuesta-Frau D, Miró-Martínez P, Jordán Núñez J, Oltra-Crespo S, Molina Picó A.

Comput Biol Med. 2017 Aug 1;87:141-151. doi: 10.1016/j.compbiomed.2017.05.028. Epub 2017 May 31.

5.

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

Jordan J, Miro-Martinez P, Vargas B, Varela-Entrecanales M, Cuesta-Frau D.

J Crit Care. 2017 Feb;37:136-140. doi: 10.1016/j.jcrc.2016.09.013. Epub 2016 Sep 27.

PMID:
27721181
6.

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.

Nonlinear Dynamics Psychol Life Sci. 2015 Oct;19(4):419-36. Review.

PMID:
26375934
7.

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.

J Med Syst. 2015 Apr;39(4):209. doi: 10.1007/s10916-015-0209-3. Epub 2015 Feb 19.

PMID:
25690997
8.

Influence of QRS complex detection errors on entropy algorithms. Application to heart rate variability discrimination.

Molina-Picó A, Cuesta-Frau D, Miró-Martínez P, Oltra-Crespo S, Aboy M.

Comput Methods Programs Biomed. 2013 Apr;110(1):2-11. doi: 10.1016/j.cmpb.2012.10.014. Epub 2012 Dec 11.

PMID:
23246085
9.

Characterization of entropy measures against data loss: application to EEG records.

Roldán EM, Molina-Picó A, Cuesta-Frau D, Martínez PM, Crespo SO.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:6110-3. doi: 10.1109/IEMBS.2011.6091509.

PMID:
22255733
10.

Comparative study of approximate entropy and sample entropy robustness to spikes.

Molina-Picó A, Cuesta-Frau D, Aboy M, Crespo C, Miró-Martínez P, Oltra-Crespo S.

Artif Intell Med. 2011 Oct;53(2):97-106. doi: 10.1016/j.artmed.2011.06.007. Epub 2011 Aug 10.

PMID:
21835600
11.

Automatic segmentation of long-term ECG signals corrupted with broadband noise based on sample entropy.

Micó P, Mora M, Cuesta-Frau D, Aboy M.

Comput Methods Programs Biomed. 2010 May;98(2):118-29. doi: 10.1016/j.cmpb.2009.08.010. Epub 2009 Oct 21.

PMID:
19850373
12.

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

Cuesta-Frau D, Varela M, Aboy M, Miró-Martínez P.

Sensors (Basel). 2009;9(10):7648-63. doi: 10.3390/s91007648. Epub 2009 Sep 28.

13.

Characterization of sample entropy in the context of biomedical signal analysis.

Aboy M, Cuesta-Frau D, Austin D, Mico-Tormos P.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5943-6.

PMID:
18003367
14.

T-wave alternans analysis improvement by means of curve alignment prior to distance calculation.

Cuesta-Frau D, Biagetti M, Micó-Tormos P, Aboy M, Quinteiro R.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:690-3.

PMID:
18002050
15.

Unsupervised classification of ventricular extrasystoles using bounded clustering algorithms and morphology matching.

Cuesta-Frau D, Biagetti MO, Quinteiro RA, Micó-Tormos P, Aboy M.

Med Biol Eng Comput. 2007 Mar;45(3):229-39. Epub 2006 Nov 9.

PMID:
17093955
16.

A microcontroller-based portable electrocardiograph recorder.

Segura-Juárez JJ, Cuesta-Frau D, Samblas-Pena L, Aboy M.

IEEE Trans Biomed Eng. 2004 Sep;51(9):1686-90.

PMID:
15376519
17.

Clustering of electrocardiograph signals in computer-aided Holter analysis.

Cuesta-Frau D, Pérez-Cortés JC, Andreu-García G.

Comput Methods Programs Biomed. 2003 Nov;72(3):179-96.

PMID:
14554133

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