TY  - BOOK
AU  - García Martínez,Constantino Antonio
AU  - Otero Quintana,Abraham
AU  - Vila,Xosé A.
AU  - Lado Touriño,María José
AU  - Rodríguez-Liñares,Leandro
AU  - Rodríguez Presedo,Jesús María
AU  - Méndez Penín,Arturo José
ED  - SpringerLink (Online service)
TI  - Heart Rate Variability Analysis with the R package RHRV
T2  - Use R!,
SN  - 9783319653556
AV  - QA276-280 
U1  - 519.5 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Statistics 
KW  - Signal processing
KW  - Image processing
KW  - Speech processing systems
KW  - Biostatistics
KW  - Biomedical engineering
KW  - Cardiology
KW  - Cardiac imaging
KW  - Statistics for Life Sciences, Medicine, Health Sciences
KW  - Signal, Image and Speech Processing
KW  - Biomedical Engineering and Bioengineering
KW  - Cardiac Imaging
N1  - 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?; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-65355-6
ER  -