| 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 (1), 8325845, 2016 | 164 | 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 | 133 | 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 | 105 | 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 | 94 | 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 | 90 | 2007 |
| Slope entropy: A new time series complexity estimator based on both symbolic patterns and amplitude information D Cuesta-Frau Entropy 21 (12), 1167, 2019 | 70 | 2019 |
| Clustering of electrocardiograph signals in computer-aided Holter analysis D Cuesta-Frau, JC Pérez-Cortés, G Andreu-Garcıa Computer methods and programs in Biomedicine 72 (3), 179-196, 2003 | 69 | 2003 |
| 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 (1), 1324696, 2018 | 49 | 2018 |
| 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 | 48 | 2012 |
| 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 | 45 | 2010 |
| 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 | 44 | 2019 |
| Estudio de métodos para procesamiento y agrupación de señales electrocardiográficas D Cuesta Departamento de Informática de Sistemas y Computadoras (DISCA), Universidad …, 2001 | 41 | 2001 |
| 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 & Life Sciences 19 (4), 2015 | 34 | 2015 |
| Classification of actigraphy records from bipolar disorder patients using slope entropy: A feasibility study D Cuesta-Frau, J Schneider, E Bakštein, P Vostatek, F Spaniel, D Novák Entropy 22 (11), 1243, 2020 | 33 | 2020 |
| 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 Abasolo, R Hornero, M Aboy Medical & Biological Engineering & Computing 45, 671-678, 2007 | 33 | 2007 |
| Denoising electrocardiogram signal using adaptive wavelets D Novak, DC Frau, V Eck, JC Pérez-Cortés, G Andreu-García Energy 200, 250, 2000 | 33 | 2000 |
| 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 | 32 | 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 | 31 | 2014 |
| 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 | 31 | 2004 |
| 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, 229-239, 2007 | 30 | 2007 |
Daniel NovakResearcher, Czech Technical University in PragueVerified email at labe.felk.cvut.cz
