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Heart rate variability analysis with...

García Martínez, Constantino Antonio.

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Heart rate variability analysis with the R package RHRV

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Heart rate variability analysis with the R package RHRV/ by Constantino Antonio García Martínez ... [et al.].
其他作者:	García Martínez, Constantino Antonio.
出版者:	Cham :Springer International Publishing : : 2024.,
面頁冊數:	xiii, 189 p. :ill. (some col.), digital ;24 cm.
內容註:	- 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.
Contained By:	Springer Nature eBook
標題:	Heart beat. -
電子資源:	https://doi.org/10.1007/978-3-031-65753-5
ISBN:	9783031657535

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

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

661056
Heart beat.

LC Class. No.: QP113

Dewey Class. No.: 612.171

Heart rate variability analysis with the R package RHRV
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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 661056
650 0 $a Electrocardiography. $3 773588
650 0 $a Heart function tests. $3 708020
650 1 4 $a Biostatistics. $3 1002712
650 2 4 $a Cardiology. $3 861477
650 2 4 $a Signal, Speech and Image Processing. $3 3592727
700 1 $a García Martínez, Constantino Antonio. $3 3724742
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856 4 0 $u https://doi.org/10.1007/978-3-031-65753-5
950 $a Mathematics and Statistics (SpringerNature-11649)