Publicacións (75) Publicacións nas que participase algún/ha investigador/a

2018

  1. Heartbeat Classification Using Abstract Features from the Abductive Interpretation of the ECG

    IEEE Journal of Biomedical and Health Informatics, Vol. 22, Núm. 2, pp. 409-420

  2. 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 Method for Context-Based Adaptive QRS Clustering in Real Time

    IEEE Journal of Biomedical and Health Informatics, Vol. 19, Núm. 5, pp. 1660-1671

  2. A Noise Robust QRS Delineation Method Based on Path Simplification

    2015 COMPUTING IN CARDIOLOGY CONFERENCE (CINC)

  3. A noise robust QRS delineation method based on path simplification

    Computing in Cardiology

  4. 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

2014

  1. Using temporal abduction for biosignal interpretation: A case study on QRS Detection

    Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014