04614nam a22006015i 4500 978-3-031-65753-5 DE-He213 20251030113107.0 cr nn 008mamaa 240927s2024 sz | s |||| 0|eng d 9783031657535 978-3-031-65753-5 10.1007/978-3-031-65753-5 doi QH323.5 PBT bicssc MED090000 bisacsh PBT thema García Martínez, Constantino Antonio. author. aut http://id.loc.gov/vocabulary/relators/aut 85067 Heart Rate Variability Analysis with the R package RHRV [electronic resource] / 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. 2nd ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XIII, 189 p. 55 illus., 34 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Use R!, 2197-5744 - 1. Introduction to Heart Rate Variability -- 2. Loading, Plotting and Filtering RR Intervals -- 3. Time Domain Analysis -- 4. Frequency Domain Analysis -- 5. Nonlinear and Fractal Analysis -- 6. Comparing HRV across Different Segments of a Recording -- 7. Putting it All Together, a Practical Example -- 8. Automating HRV analysis: RHRVEasy. 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. Biometry. 65981 Cardiology. 75410 Signal processing. Biostatistics. 65985 Cardiology. 75410 Signal, Speech and Image Processing. Otero Quintana, Abraham. author. aut http://id.loc.gov/vocabulary/relators/aut 85068 Vila, Xosé A. author. aut http://id.loc.gov/vocabulary/relators/aut 85069 Lado Touriño, María José. author. aut http://id.loc.gov/vocabulary/relators/aut 85070 Rodríguez-Liñares, Leandro. author. aut http://id.loc.gov/vocabulary/relators/aut 85071 Rodríguez Presedo, Jesús María. author. aut http://id.loc.gov/vocabulary/relators/aut 85072 Méndez Penín, Arturo José. author. aut http://id.loc.gov/vocabulary/relators/aut 85073 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031657528 Printed edition: 9783031657542 Use R!, 2197-5744 74728 https://doi.org/10.1007/978-3-031-65753-5 ZDB-2-SMA ZDB-2-SXMS 63743 63743