Heart Rate Variability Analysis with the R package RHRV

Released on by Constantino Antonio García Martínez
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  • Heart Rate Variability Analysis with the R package RHRV Book Detail

  • Author : Constantino Antonio García Martínez
  • Release Date : 2017-09-18
  • Publisher : Springer
  • Genre : Medical
  • Pages : 173
  • ISBN 13 : 3319653555
  • File Size : 29,29 MB
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Heart Rate Variability Analysis with the R package RHRV by Constantino Antonio García Martínez PDF Summary

Book Description: 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.

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Computational Science – ICCS 2020

Computational Science – ICCS 2020

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The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational