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Heart rate variability analysis with the R package RHRV

Record Type:	Electronic resources : Monograph/item
Title/Author:	Heart rate variability analysis with the R package RHRVby Constantino Antonio García Martínez ... [et al.].
other author:	García Martínez, Constantino Antonio.
Published:	Cham :Springer International Publishing :2024.
Description:	xiii, 189 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Heart beat.
Online resource:	https://doi.org/10.1007/978-3-031-65753-5
ISBN:	9783031657535$q(electronic bk.)

Heart rate variability analysis with the R package RHRV
Heart rate variability analysis with the R package RHRV[electronic resource] /by Constantino Antonio García Martínez ... [et al.]. - Second edition. - Cham :Springer International Publishing :2024. - xiii, 189 p. :ill. (some col.), digital ;24 cm. - Use R!,2197-5744. - Use R!..

- 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.

ISBN: 9783031657535$q(electronic bk.)

Standard No.: 10.1007/978-3-031-65753-5doiSubjects--Topical Terms:

514083
Heart beat.

LC Class. No.: QP113

Dewey Class. No.: 612.171

Heart rate variability analysis with the R package RHRV
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245 0 0 $a Heart rate variability analysis with the R package RHRV $h [electronic resource] / $c by Constantino Antonio García Martínez ... [et al.].
250 $a Second edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2024.
300 $a xiii, 189 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Use R!, $x 2197-5744
505 0 $a - 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.
520 $a 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.
650 0 $a Heart beat. $3 514083
650 0 $a Electrocardiography. $3 240632
650 0 $a Heart function tests. $3 459470
650 1 4 $a Biostatistics. $3 339693
650 2 4 $a Cardiology. $3 273804
650 2 4 $a Signal, Speech and Image Processing. $3 919570
700 1 $a García Martínez, Constantino Antonio. $3 982582
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Use R!. $3 797602
856 4 0 $u https://doi.org/10.1007/978-3-031-65753-5
950 $a Mathematics and Statistics (SpringerNature-11649)