Heart Rate Variability Analysis with the R package RHRV

This book introduces readers to the basic concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-on approach based on the open-source RHRV software. HRV refers to the variation over time of the intervals between

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Constantino Antonio García Martínez Abraham Otero Quintana Xosé A. Vila María José Lado Touriño Leandro Rodríguez-Liñares Jesús María Rodríguez Presedo Arturo José Méndez Penín

Heart Rate Variability Analysis with the R package RHRV

Use R! Series editors Robert Gentleman

Kurt Hornik

Giovanni Parmigiani

Use R! Moore: Applied Survival Analysis Using R Luke: A User’s Guide to Network Analysis in R Monogan: Political Analysis Using R Cano/M. Moguerza/Prieto Corcoba: Quality Control with R Schwarzer/Carpenter/Rücker: Meta-Analysis with R Gondro: Primer to Analysis of Genomic Data Using R Chapman/Feit: R for Marketing Research and Analytics Willekens: Multistate Analysis of Life Histories with R Cortez: Modern Optimization with R Kolaczyk/Csárdi: Statistical Analysis of Network Data with R Swenson/Nathan: Functional and Phylogenetic Ecology in R Nolan/Temple Lang: XML and Web Technologies for Data Sciences with R Nagarajan/Scutari/Lèbre: Bayesian Networks in R van den Boogaart/Tolosana-Delgado: Analyzing Compositional Data with R Bivand/Pebesma/Gómez-Rubio: Applied Spatial Data Analysis with R (2nd ed. 2013) Eddelbuettel: Seamless R and C++ Integration with Rcpp Knoblauch/Maloney: Modeling Psychophysical Data in R Lin/Shkedy/Yekutieli/Amaratunga/Bijnens: Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R Cano/M. Moguerza/Redchuk: Six Sigma with R Soetaert/Cash/Mazzia: Solving Differential Equations in R

More information about this series at http://www.springer.com/series/6991

Constantino Antonio García Martínez Abraham Otero Quintana Xosé A. Vila María José Lado Touriño Leandro Rodríguez-Liñares Jesús María Rodríguez Presedo Arturo José Méndez Penín •

Heart Rate Variability Analysis with the R package RHRV

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Constantino Antonio García Martínez University of Santiago de Compostela Santiago de Compostela Spain

Leandro Rodríguez-Liñares University of Vigo Ourense Spain

Abraham Otero Quintana CEU San Pablo University Madrid Spain

Jesús María Rodríguez Presedo University of Santiago de Compostela Santiago de Compostela Spain

Xosé A. Vila University of Vigo Ourense Spain

Arturo José Méndez Penín University of Vigo Ourense Spain

María José Lado Touriño University of Vigo Ourense Spain

ISSN 2197-5736 Use R! ISBN 978-3-319-65354-9 DOI 10.1007/978-3-319-65355-6

ISSN 2197-5744

(electronic)

ISBN 978-3-319-65355-6

(eBook)

Library of Congress Control Number: 2017948618 © Springer International Publishing AG 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication doe