Sobre el grupo
Investigador Principal
Esther Pueyo Paulés
Equipo
Adrián Hernández Vicente, Alba Martín Yebra, Alba Pérez Martínez, Ana Mincholé Lapuente, Antonio Velarte lranzo, Carlos Sánchez Tapia, Chiara Celotto, Clara Sales Bellés, Cristina López Andrés, Cristina Moreno Aramburu, Cristina Pérez Martínez, David Hernando Jumilla, Diego Cajal Orleans, Eduardo Gil Herrando, Elisa Garrido Huescar, Hazel Mia Santander Badules, Inés Noguero Soler, Jaime Ibáñez Pereda, Javier Ramos Maqueda, Jesús Lázaro Plaza, Jimena Rodríguez Carbó, Josseline Madrid Chirinos, Juan Pablo Martínez Cortés, Julia Ramírez García, Laura García Mendívil, Laura Ordovás Vidal, Marcos Sánchez Barat, Natalia Hernández Bellido, Pablo Laguna Lasaosa, Raquel Bailón Luesma, Ricardo Maximiliano Rosales, Saúl Dario Palacios Rosales, Sofía Pérez Gracia
Universidad de Zaragoza
Líneas de Investigación
Análisis de las señales multimodales en estudios de polisomnografía para SAOS infantil
Detección de arritmias en el ECG
Detección y delineación de electrogramas
Extracción de Índices de riesgo cardiaco del ECG basados en la repolarización
Modelado eléctrico integral, desde los potenciales de acción hasta el ECG de superficie
Variabilidad del ritmo cardiaco
Publicaciones más relevantes
Carro J, Rodriguez-Matas J, Monasterio V, Pueyo E. Limitations in electrophysiological model development and validation caused by differences between simulations and experimental protocols (vol 129, pg 53, 2017). Prog. Biophys. Mol. Biol.. 2018. 140: 175 - 175. 10.1016/j.pbiomolbio.2018.11.001.
Monasterio V, Castro-Mur J, Carro J. DENIS: Solving cardiac electrophysiological simulations with volunteer computing. PLoS One. 2018. 13(10): e0205568. 10.1371/journal.pone.0205568.
Carro J, Pueyo E, Matas J. A response surface optimization approach to adjust ionic current conductances of cardiac electrophysiological models. Application to the study of potassium level changes. PLoS One. 2018. 13(10): e0204411. 10.1371/journal.pone.0204411.
Milagro J, Gil E, Lazaro J, Seppa V, Malmberg L, Pelkonen A, Kotaniemi-Syrjanen A, Makela M, Viik J, Bailon R. Nocturnal Heart Rate Variability Spectrum Characterization in Preschool Children With Asthmatic Symptoms. IEEE J. Biomed. Health Inform.. 2018. 22(5): 1332 - 1340. 10.1109/JBHI.2017.2775059.
Hernando D, Roca S, Sancho J, Alesanco A, Bailon R. Validation of the Apple Watch for Heart Rate Variability Measurements during Relax and Mental Stress in Healthy Subjects. Sensors. 2018. 18(8): 2619. 10.3390/s18082619.
Orini M, Pueyo E, Laguna P, Bailon R. A Time-Varying Nonparametric Methodology for Assessing Changes in QT Variability Unrelated to Heart Rate Variability. IEEE Trans. Biomed. Eng.. 2018. 65(7): 1443 - 1451. 10.1109/TBME.2017.2758925.
Pueyo E, Dangerfield C, Britton O, Virag L, Kistamas K, Szentandrassy N, Jost N, Varro A, Nanasi P, Burrage K, Rodriguez B. Experimentally-Based Computational Investigation into Beat-To-Beat Variability in Ventricular Repolarization and Its Response to Ionic Current Inhibition (vol 11, e0151461, 2016). PLoS One. 2018. 13(5): e0197871. 10.1371/journal.pone.0197871.
Rapalis A, Petrenas A, Simaityte M, Bailon R, Marozas V. Towards pulse rate parametrization during free-living activities using smart wristband. Physiol. Meas.. 2018. 39(5): UNSP 055007. 10.1088/1361-6579/aac24a.
Hernandez-Vicente A, Santos-Lozano A, Bailon R, Mayolas-Pi C, Marin P, Garatachea N. 2871. Effects of the type of exercise performed on the vibration delivered during whole-body vibration exercises. J. Vibroeng.. 2018. 20(3): 1522 - 1529. 10.21595/jve.2018.19622.
Nardelli M, Greco A, Bolea J, Valenza G, Scilingo E, Bailon R. Reliability of Lagged Poincare Plot Parameters in Ultrashort Heart Rate Variability Series: Application on Affective Sounds. IEEE J. Biomed. Health Inform.. 2018. 22(3): 741 - 749. 10.1109/JBHI.2017.2694999.
Hernando D, Hernando A, Casajus J, Laguna P, Garatachea N, Bailon R. Methodological framework for heart rate variability analysis during exercise: application to running and cycling stress testing. Med. Biol. Eng. Comput.. 2018. 56(5): 781 - 794. 10.1007/s11517-017-1724-9.
Laguna P, Garde A, Giraldo B, Meste O, Jane R, Sornmo L. Eigenvalue-based time delay estimation of repetitive biomedical signals. Digit. Signal Prog.. 2018. 75: 107 - 119. 10.1016/j.dsp.2018.01.007.
Lyon A, Ariga R, Minchole A, Mahmod M, Ormondroyd E, Laguna P, de Freitas N, Neubauer S, Watkins H, Rodriguez B. Distinct ECG Phenotypes Identified in Hypertrophic Cardiomyopathy Using Machine Learning Associate With Arrhythmic Risk Markers. Front. Physiol.. 2018. 9: 213. 10.3389/fphys.2018.00213.
Hernando D, Garatachea N, Almeida R, Casajus J, Bailon R. VALIDATION OF HEART RATE MONITOR POLAR RS800 FOR HEART RATE VARIABILITY ANALYSIS DURING EXERCISE. J. Strength Cond. Res.. 2018. 32(3): 716 - 725. 10.1519/JSC.0000000000001662.
Alcaine A, Soto-Iglesias D, Acosta J, Korshunov V, Penela D, Martinez M, Linhart M, Andreu D, Fernandez-Armenta J, Laguna P, Martinez J, Camara O, Berruezo A. Automatic activation mapping and origin identification of idiopathic outflow tract ventricular arrhythmias. J Electrocardiol. 2018. 51(2): 239 - 246. 10.1016/j.jelectrocard.2017.10.015.
Martin-Yebra A, Monasterio V, Cygankiewicz I, Bayes-de-Luna A, Caiani E, Laguna P, Martinez J. Post-Ventricular Premature Contraction Phase Correction Improves the Predictive Value of Average T-Wave Alternans in Ambulatory ECG Recordings. IEEE Trans. Biomed. Eng.. 2018. 65(3): 635 - 644. 10.1109/TBME.2017.2711645.
Sanchez C, D'Ambrosio G, Maffessanti F, Caiani E, Prinzen F, Krause R, Auricchio A, Potse M. Sensitivity analysis of ventricular activation and electrocardiogram in tailored models of heart-failure patients. Med. Biol. Eng. Comput.. 2018. 56(3): 491 - 504. 10.1007/s11517-017-1696-9.
Olivan-Viguera A, Garcia-Otin A, Lozano-Gerona J, Abarca-Lachen E, Garcia-Malinis A, Hamilton K, Gilaberte Y, Pueyo E, Kohler R. Pharmacological activation of TRPV4 produces immediate cell damage and induction of apoptosis in human melanoma cells and HaCaT keratinocytes. PLoS One. 2018. 13(1): e0190307. 10.1371/journal.pone.0190307.