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＜電子ブック＞
Heart Rate Variability Analysis with the R package RHRV / 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
(Use R!. ISSN:21975744)

版	1st ed. 2017.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2017
本文言語	英語
大きさ	XVI, 157 p. 50 illus., 29 illus. in color : online resource
著者標目	*García Martínez, Constantino Antonio author Otero Quintana, Abraham author Vila, Xosé A author Lado Touriño, María José author Rodríguez-Liñares, Leandro author Rodríguez Presedo, Jesús María author Méndez Penín, Arturo José author SpringerLink (Online service)
件　名	LCSH:Biometry LCSH:Signal processing LCSH:Biomedical engineering LCSH:Cardiology FREE:Biostatistics FREE:Signal, Speech and Image Processing FREE:Biomedical Engineering and Bioengineering FREE:Cardiology
一般注記	Foreword -- Preface -- 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 Variability across Different Segments of a Recording -- 7 Putting it All Together, a Practical Example -- A Installing RHRV -- B How do I Get a Series of RR Intervals from a Clinical/Biological Experiment? 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 consecutive heartbeats. Despite its apparent simplicity, HRV is one of the most important markers of the 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 HTTP:URL=https://doi.org/10.1007/978-3-319-65355-6

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