Publicacións en colaboración con investigadores/as de Universidade de Vigo (16)

2024

  1. Sex differences in delay times in ST-segment elevation myocardial infarction: A cohort study

    Medicina Clinica

2023

  1. Automatic Assessment of Transcatheter Aortic Valve Implantation Results on Four-Dimensional Computed Tomography Images Using Artificial Intelligence

    Bioengineering, Vol. 10, Núm. 10

  2. Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning

    International Journal of Environmental Research and Public Health, Vol. 20, Núm. 4

  3. Two-Step Approach for Occupancy Estimation in Intensive Care Units Based on Bayesian Optimization Techniques

    Sensors, Vol. 23, Núm. 3

2022

  1. An study on the influence of collagen fiber directions in TAVs performance using FEM

    Journal of the Mechanical Behavior of Biomedical Materials, Vol. 126

  2. Coronary Artery Disease in Very Young Patients: Analysis of Risk Factors and Long-Term Follow-Up

    Journal of Cardiovascular Development and Disease, Vol. 9, Núm. 3

2021

  1. Including coronary ostia in patient-specific 3D models of the whole aortic valve apparatus, derived from TEE, for biomechanical simulations

    International Journal of Multiphysics, Vol. 15, Núm. 1, pp. 1-18

  2. Predicting TAVI paravalvular regurgitation outcomes based on numerical simulation of the aortic annulus eccentricity and perivalvular areas

    Computer Methods in Biomechanics and Biomedical Engineering, Vol. 24, Núm. 14, pp. 1629-1637

  3. Using explainable machine learning to improve intensive care unit alarm systems

    Sensors, Vol. 21, Núm. 21

2020

  1. A biomechanical model of the pathological aortic valve: simulation of aortic stenosis

    Computer Methods in Biomechanics and Biomedical Engineering, Vol. 23, Núm. 8, pp. 303-311

2019

  1. Efficient PPG signal acquisition for atrial fibrillation screening with wearable devices

    Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

  2. Using PPG Signals and Wearable Devices for Atrial Fibrillation Screening

    IEEE Transactions on Industrial Electronics, Vol. 66, Núm. 11, pp. 8832-8842

2017

  1. A quantitative method for selecting denoising filters, based on a new edge-sensitive metric

    Proceedings of the IEEE International Conference on Industrial Technology

  2. An aortic root geometric model, based on transesophageal echocardiographic image sequences (TEE), for biomechanical simulation

    SEMA SIMAI Springer Series

  3. Optimized PPG-based wearable acquisition unit for massive analysis of heart rhythms

    IEEE International Symposium on Industrial Electronics

  4. Using support vector machines for atrial fibrillation screening

    IEEE International Symposium on Industrial Electronics