Cited by
Cited by
Forest monitoring and wildland early fire detection by a hierarchical wireless sensor network
A Molina-Pico, D Cuesta-Frau, A Araujo, J Alejandre, A Rozas
Journal of Sensors 2016, 2016
Automatic sleep stages classification using EEG entropy features and unsupervised pattern analysis techniques
JL Rodríguez-Sotelo, A Osorio-Forero, A Jiménez-Rodríguez, ...
Entropy 16 (12), 6573-6589, 2014
Comparative study of approximate entropy and sample entropy robustness to spikes
A Molina-Picó, D Cuesta-Frau, M Aboy, C Crespo, P Miró-Martínez, ...
Artificial intelligence in medicine 53 (2), 97-106, 2011
A microcontroller-based portable electrocardiograph recorder
JJ Segura-Juárez, D Cuesta-Frau, L Samblas-Pena, M Aboy
IEEE Transactions on Biomedical Engineering 51 (9), 1686-1690, 2004
Characterization of sample entropy in the context of biomedical signal analysis
M Aboy, D Cuesta-Frau, D Austin, P Mico-Tormos
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
Clustering of electrocardiograph signals in computer-aided Holter analysis
D Cuesta-Frau, JC Pérez-Cortés, G Andreu-Garcı́a
Computer methods and programs in Biomedicine 72 (3), 179-196, 2003
Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering
JL Rodríguez-Sotelo, D Peluffo-Ordonez, D Cuesta-Frau, ...
Computer methods and programs in biomedicine 108 (1), 250-261, 2012
Slope Entropy: A New Time Series Complexity Estimator Based on Both Symbolic Patterns and Amplitude Information
D Cuesta-Frau
Entropy 21 (12), 1167, 2019
Automatic segmentation of long-term ECG signals corrupted with broadband noise based on sample entropy
P Micó, M Mora, D Cuesta-Frau, M Aboy
Computer Methods and Programs in Biomedicine 98 (2), 118-129, 2010
Estudio de métodos para procesamiento y agrupación de señales electrocardiográficas
D Cuesta
Departamento de Informática de Sistemas y Computadoras (DISCA), Universidad …, 2001
Patterns with equal values in permutation entropy: Do they really matter for biosignal classification?
D Cuesta–Frau, M Varela–Entrecanales, A Molina–Picó, B Vargas
Complexity 2018, 2018
Predicting survival in critical patients by use of body temperature regularity measurement based on approximate entropy
D Cuesta, M Varela, P Miró, P Galdós, D Abásolo, R Hornero, M Aboy
Medical & biological engineering & computing 45 (7), 671-678, 2007
Embedded dimension and time series length. Practical influence on permutation entropy and its applications
D Cuesta-Frau, JP Murillo-Escobar, DA Orrego, E Delgado-Trejos
Entropy 21 (4), 385, 2019
Denoising electrocardiogram signal using adaptive wavelets
D Novak, DC Frau, V Eck, JC Pérez-Cortés, G Andreu-García
Energy 200, 250, 2000
Unsupervised classification of ventricular extrasystoles using bounded clustering algorithms and morphology matching
D Cuesta-Frau, MO Biagetti, RA Quinteiro, P Mico-Tormos, M Aboy
Medical & biological engineering & computing 45 (3), 229-239, 2007
Speech recognition methods applied to biomedical signals processing
D Novak, D Cuesta-Frau, M Aboy, R Mico, L Lhotska
The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004
Feature extraction methods applied to the clustering of electrocardiographic signals. a comparative study
D Cuesta-Frau, JC Pérez-Cortes, G Andreu-García, D Novák
Object recognition supported by user interaction for service robots 3, 961-964, 2002
What Can Biosignal Entropy Tell Us About Health and Disease? Applications in Some Clinical Fields.
B Vargas, D Cuesta-Frau, R Ruiz-Esteban, E Cirugeda, M Varela
Nonlinear dynamics, psychology, and life sciences 19 (4), 419-436, 2015
Noisy EEG signals classification based on entropy metrics. Performance assessment using first and second generation statistics
D Cuesta–Frau, P Miró–Martínez, JJ Núñez, S Oltra–Crespo, AM Picó
Computers in Biology and Medicine 87, 141-151, 2017
Comparative study of entropy sensitivity to missing biosignal data
E Cirugeda-Roldan, D Cuesta-Frau, P Miro-Martinez, S Oltra-Crespo
Entropy 16 (11), 5901-5918, 2014
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