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David Cuesta-Frau
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2020 – today
- 2024
- [j40]Mahdy Kouka, David Cuesta-Frau
, Vicent Moltó-Gallego
Slope Entropy Characterisation: An Asymmetric Approach to Threshold Parameters Role Analysis. Entropy 26(1): 82 (2024) - 2023
- [j39]David Cuesta-Frau
Slope Entropy Normalisation by Means of Analytical and Heuristic Reference Values. Entropy 25(1): 66 (2023) - [j38]Luis Enrique Avendaño
State space model-based harmonic decomposition of pseudo-periodic non-stationary multivariate signals. Signal Process. 213: 109192 (2023) - 2022
- [j37]E. Pereira-Montiel
Automatic sign language recognition based on accelerometry and surface electromyography signals: A study for Colombian sign language. Biomed. Signal Process. Control. 71(Part): 103201 (2022) - [j36]Borja Vargas
Discriminating Bacterial Infection from Other Causes of Fever Using Body Temperature Entropy Analysis. Entropy 24(4): 510 (2022) - [j35]Mahdy Kouka, David Cuesta-Frau
Slope Entropy Characterisation: The Role of the δ Parameter. Entropy 24(10): 1456 (2022) - [c18]Lucas Escobar-Correa
Variable Embedding Based on L-statistic for Electrocardiographic Signal Analysis. IWINAC (1) 2022: 595-604 - [c17]Juan Pablo Restrepo-Uribe
Uniform and Non-uniform Embedding Quality Using Electrocardiographic Signals. IWINAC (1) 2022: 605-614 - 2021
- [c16]Juan Carlos García Ortiz, Javier Silvestre-Blanes, Víctor-M. Sempere-Payá, David Cuesta-Frau:
Evaluation of improvements in BLE Mesh through CODED PHY. ETFA 2021: 1-4 - 2020
- [j34]David Cuesta-Frau
Using the Information Provided by Forbidden Ordinal Patterns in Permutation Entropy to Reinforce Time Series Discrimination Capabilities. Entropy 22(5): 494 (2020) - [j33]David Cuesta-Frau
Fever Time Series Analysis Using Slope Entropy. Application to Early Unobtrusive Differential Diagnosis. Entropy 22(9): 1034 (2020) - [j32]David Cuesta-Frau
Classification of Actigraphy Records from Bipolar Disorder Patients Using Slope Entropy: A Feasibility Study. Entropy 22(11): 1243 (2020) - [j31]Ambra Cesareo
A novel acquisition platform for long-term breathing frequency monitoring based on inertial measurement units. Medical Biol. Eng. Comput. 58(4): 785-804 (2020) - [c15]Luis Enrique Avendaño, Jorge I Padilla, Edilson Delgado-Trejos, David Cuesta-Frau:
Detection of ECG Fiducial Points Using Recursive Estimation and Kalman Filtering. CinC 2020: 1-4
2010 – 2019
- 2019
- [j30]David Cuesta-Frau
Recent Improvements on Complexity Measures for Time Series. Complex. 2019: 5903789:1-5903789:2 (2019) - [j29]David Cuesta-Frau
Influence of Duodenal-Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods. Complex. 2019: 6070518:1-6070518:10 (2019) - [j28]David Cuesta-Frau
Embedded Dimension and Time Series Length. Practical Influence on Permutation Entropy and Its Applications. Entropy 21(4): 385 (2019) - [j27]David Cuesta-Frau
Permutation Entropy: Enhancing Discriminating Power by Using Relative Frequencies Vector of Ordinal Patterns Instead of Their Shannon Entropy. Entropy 21(10): 1013 (2019) - [j26]David Cuesta-Frau
Slope Entropy: A New Time Series Complexity Estimator Based on Both Symbolic Patterns and Amplitude Information. Entropy 21(12): 1167 (2019) - 2018
- [j25]Eva M. Cirugeda-Roldán
Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation. Comput. Math. Methods Medicine 2018: 1874651:1-1874651:8 (2018) - [j24]David Cuesta-Frau
Classification of glucose records from patients at diabetes risk using a combined permutation entropy algorithm. Comput. Methods Programs Biomed. 165: 197-204 (2018) - [j23]David Cuesta-Frau
Patterns with Equal Values in Permutation Entropy: Do They Really Matter for Biosignal Classification? Complex. 2018: 1324696:1-1324696:15 (2018) - [j22]David Cuesta-Frau
Model Selection for Body Temperature Signal Classification Using Both Amplitude and Ordinality-Based Entropy Measures. Entropy 20(11): 853 (2018) - [j21]David Cuesta-Frau
Characterization of Artifact Influence on the Classification of Glucose Time Series Using Sample Entropy Statistics. Entropy 20(11): 871 (2018) - [c14]Maria-Iuliana Bocicor, Arthur-Jozsef Molnar
Intelligent Decision Support for Pervasive Home Monitoring and Assisted Living. ICCP 2018: 129-136 - 2017
- [j20]David Cuesta-Frau
Noisy EEG signals classification based on entropy metrics. Performance assessment using first and second generation statistics. Comput. Biol. Medicine 87: 141-151 (2017) - [c13]Maria-Iuliana Bocicor, David Cuesta-Frau, Ionut-Catalin Draghici, Nicolae Goga, Arthur-Jozsef Molnar
Cyber-physical system for assisted living and home monitoring. ICCP 2017: 487-493 - 2016
- [j19]Fernando Martínez Tabares, Yasel J. Costa Salas
Multiobjective Design of Wearable Sensor Systems for Electrocardiogram Monitoring. J. Sensors 2016: 2418065:1-2418065:15 (2016) - [j18]Antonio Molina-Picó
Forest Monitoring and Wildland Early Fire Detection by a Hierarchical Wireless Sensor Network. J. Sensors 2016: 8325845:1-8325845:8 (2016) - 2015
- [j17]Eva M. Cirugeda-Roldán
Characterization of Complex Fractionated Atrial Electrograms by Sample Entropy: An International Multi-Center Study. Entropy 17(11): 7493-7509 (2015) - [j16]David Cuesta-Frau
Development of a Novel Scheme for Long-Term Body Temperature Monitoring: A Review of Benefits and Applications. J. Medical Syst. 39(4): 39 (2015) - 2014
- [j15]Eva M. Cirugeda-Roldán
A new algorithm for quadratic sample entropy optimization for very short biomedical signals: Application to blood pressure records. Comput. Methods Programs Biomed. 114(3): 231-239 (2014) - [j14]Eva M. Cirugeda-Roldán
Comparative Study of Entropy Sensitivity to Missing Biosignal Data. Entropy 16(11): 5901-5918 (2014) - [j13]José Luis Rodríguez-Sotelo
Automatic Sleep Stages Classification Using EEG Entropy Features and Unsupervised Pattern Analysis Techniques. Entropy 16(12): 6573-6589 (2014) - 2013
- [j12]Antonio Molina-Picó
Influence of QRS complex detection errors on entropy algorithms. Application to heart rate variability discrimination. Comput. Methods Programs Biomed. 110(1): 2-11 (2013) - [c12]Christian Padilla-Navarro, María del Rosario Baltazar-Flores, David Cuesta-Frau, Arnulfo Alanis Garza, Víctor Manuel Zamudio Rodríguez:
Cardiac Arrhythmia Classification Using KNN and Naive Bayes Classifiers Optimized with Differential Evolution (DE) and Particle Swarm Optimization (PSO). Intelligent Environments (Workshops) 2013: 36-46 - 2012
- [j11]José Luis Rodríguez-Sotelo
Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering. Comput. Methods Programs Biomed. 108(1): 250-261 (2012) - [c11]Eva M. Cirugeda-Roldán
Customization of entropy estimation measures for human arterial hypertension records segmentation. EMBC 2012: 33-36 - [c10]Eva M. Cirugeda-Roldán
Characterization of detrended fluctuation analysis in the context of glycemic time series. EMBC 2012: 4225-4228 - [c9]Eva M. Cirugeda-Roldán
Comparative study between Sample Entropy and Detrended Fluctuation Analysis performance on EEG records under data loss. EMBC 2012: 4233-4236 - 2011
- [j10]Antonio Molina-Picó
Comparative study of approximate entropy and sample entropy robustness to spikes. Artif. Intell. Medicine 53(2): 97-106 (2011) - [c8]Eva M. Cirugeda-Roldán
Characterization of entropy measures against data loss: Application to EEG records. EMBC 2011: 6110-6113 - 2010
- [j9]Pau Micó
Automatic segmentation of long-term ECG signals corrupted with broadband noise based on sample entropy. Comput. Methods Programs Biomed. 98(2): 118-129 (2010)
2000 – 2009
- 2009
- [j8]David Cuesta-Frau
Enhanced modified moving average analysis of T-wave alternans using a curve matching method: a simulation study. Medical Biol. Eng. Comput. 47(3): 323-331 (2009) - [j7]David Cuesta-Frau
Response: can a simulation study of T-wave alternans (TWA) resolve whether TWA is T-wave amplitude dependent? Medical Biol. Eng. Comput. 47(3): 355 (2009) - [j6]José Luis Rodríguez-Sotelo
Unsupervised classification of atrial heartbeats using a prematurity index and wave morphology features. Medical Biol. Eng. Comput. 47(7): 731-741 (2009) - [j5]Macarena Boix, Begoña Cantó, David Cuesta-Frau, Pau Micó
Using the Wavelet Transform for T-wave alternans detection. Math. Comput. Model. 50(5-6): 738-742 (2009) - [j4]David Cuesta-Frau
Description of a PortableWireless Device for High-Frequency Body Temperature Acquisition and Analysis. Sensors 9(10): 7648-7663 (2009) - [c7]Jordi Linares-Pellicer, Jordi Santonja-Blanes, Pau Micó Tormos, David Cuesta-Frau:
Using processing.org in an Introductory Computer Graphics Course. Eurographics (Education Papers) 2009: 23-28 - 2007
- [j3]David Cuesta-Frau
Unsupervised classification of ventricular extrasystoles using bounded clustering algorithms and morphology matching. Medical Biol. Eng. Comput. 45(3): 229-239 (2007) - 2005
- [c6]Pau Micó
Clustering Improvement for Electrocardiographic Signals. ICIAP 2005: 892-899 - [c5]David Cuesta-Frau, María Ángeles Hernández-Fenollosa, Pau Micó Tormos
Segmentation of Nanocolumnar Crystals from Microscopic Images. ICIAR 2005: 55-62 - 2004
- [j2]José J. Segura-Juarez, David Cuesta-Frau
A microcontroller-based portable electrocardiograph recorder. IEEE Trans. Biomed. Eng. 51(9): 1686-1690 (2004) - [c4]Daniel Novák
Morphology Analysis of Physiological Signals Using Hidden Markov Models. ICPR (3) 2004: 754-757 - [c3]Pau Micó
Preclustering of Electrocardiographic Signals Using Left-to-Right Hidden Markov Models. SSPR/SPR 2004: 939-947 - 2003
- [j1]David Cuesta-Frau
Clustering of electrocardiograph signals in computer-aided Holter analysis. Comput. Methods Programs Biomed. 72(3): 179-196 (2003) - [c2]José J. Segura-Juarez, David Cuesta-Frau
A microcontroller-based portable electrocardiograph system. ICECS 2003: 922-925 - 2002
- [c1]David Cuesta-Frau, Juan-Carlos Perez-Cortes, Gabriela Andreu García, Daniel Novák:
Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study. ICPR (3) 2002: 961-964
Coauthor Index
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last updated on 2024-08-05 20:24 CEST by the dblp team
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