Publicacións nas que colabora con Constantino Antonio García Martínez (17)

2022

  1. Stochastic embeddings of dynamical phenomena through variational autoencoders

    Journal of Computational Physics, Vol. 454

2018

  1. Simultaneous estimation of deterministic and fractal stochastic components in non-stationary time series

    Physica D: Nonlinear Phenomena, Vol. 374-375, pp. 45-57

2017

  1. Comparing HRV Variability Across Different Segments of a Recording

    HEART RATE VARIABILITY ANALYSIS WITH THE R PACKAGE RHRV (SPRINGER), pp. 117-132

  2. Frequency Domain Analysis

    HEART RATE VARIABILITY ANALYSIS WITH THE R PACKAGE RHRV (SPRINGER), pp. 37-68

  3. Heart Rate Variability Analysis with the R package RHRV Preface

    HEART RATE VARIABILITY ANALYSIS WITH THE R PACKAGE RHRV

  4. How do I Get a Series of RR Intervals from a Clinical/Biological Experiment?

    HEART RATE VARIABILITY ANALYSIS WITH THE R PACKAGE RHRV (SPRINGER), pp. 147-154

  5. Installing RHRV

    HEART RATE VARIABILITY ANALYSIS WITH THE R PACKAGE RHRV (SPRINGER), pp. 145-146

  6. Introduction to Heart Rate Variability

    HEART RATE VARIABILITY ANALYSIS WITH THE R PACKAGE RHRV

  7. Loading, Plotting, and Filtering RR Intervals

    HEART RATE VARIABILITY ANALYSIS WITH THE R PACKAGE RHRV (SPRINGER), pp. 15-28

  8. Nonlinear and Fractal Analysis

    HEART RATE VARIABILITY ANALYSIS WITH THE R PACKAGE RHRV (SPRINGER), pp. 69-116

  9. Nonparametric estimation of stochastic differential equations with sparse Gaussian processes

    Physical Review E, Vol. 96, Núm. 2

  10. Putting It All Together, a Practical Example

    HEART RATE VARIABILITY ANALYSIS WITH THE R PACKAGE RHRV (SPRINGER), pp. 133-144

  11. Time-Domain Analysis

    HEART RATE VARIABILITY ANALYSIS WITH THE R PACKAGE RHRV (SPRINGER), pp. 29-36

2015

  1. A study on the representation of QRS complexes with the optimum number of Hermite functions

    Biomedical Signal Processing and Control, Vol. 22, pp. 11-18

2013

  1. A New Methodology for Nonlinear Heart Function Analysis: Studying Just the Beat Morphology

    2013 COMPUTING IN CARDIOLOGY CONFERENCE (CINC)

  2. A new methodology for nonlinear heart function analysis: Studying just the beat morphology

    Computing in Cardiology

  3. A software toolkit for nonlinear Heart Rate Variability analysis

    Computing in Cardiology