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Heart Rate Variability Analysis with the R package RHRV (Use R!), 2nd Edition

Heart Rate Variability Analysis with the R package RHRV (Use R!), 2nd Edition

Regular price $27.00 USD
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ISBN

978-3031657528, 9783031657535

Authors

Publisher

Springer

Published Date

2024

Language

‎English

Page Count

Size

9 MB

By 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 This book introduces readers to the fundamental 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 consecutive heartbeats. Despite its apparent simplicity, HRV is one of the most important markers of autonomic nervous system activity and it has been recognized as a useful predictor of several pathologies. The book discusses all the basic HRV topics, including the physiological contributions to HRV, clinical applications, HRV data acquisition, HRV data manipulation and HRV analysis using time-domain, frequency-domain, time-frequency, nonlinear and fractal techniques. Detailed examples based on real data sets are provided throughout the book to illustrate the algorithms and discuss the physiological implications of the results. Offering a comprehensive guide to analyzing beat information with RHRV, the book is intended for masters and Ph.D. students in various disciplines such as biomedical engineering, human and veterinary medicine, biology, and pharmacy, as well as researchers conducting heart rate variability analyses on both human and animal data. The second edition of the book has been updated to RHRV version 5.0. This version introduces a functionality to perform heart rate variability analysis on entire populations. This functionality automates and streamlines both the calculation of HRV indices in the time, frequency, and nonlinear domains, as well as the subsequent statistical analysis. Product Details Publisher ‏ : ‎ Springer; Second Edition 2024 (September 27, 2024) Language ‏ : ‎ English Paperback ‏ : ‎ 202 pages ISBN-10 ‏ : ‎ 3031657527 ISBN-13 ‏ : ‎ 978-3031657528

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