LEADER 04289nam  22006615  450 
001 9910254300603321
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010   $a3-319-65355-5
024 7 $a10.1007/978-3-319-65355-6
035   $a(CKB)4100000000586899
035   $a(DE-He213)978-3-319-65355-6
035   $a(MiAaPQ)EBC5049922
035   $a(PPN)204534488
035   $a(EXLCZ)994100000000586899
100   $a20170918d2017      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aHeart Rate Variability Analysis with the R package RHRV /$fby 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
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (XVI, 157 p. 50 illus., 29 illus. in color.)
225 1 $aUse R!,$x2197-5744
311 08$a3-319-65354-7 
320   $aIncludes bibliographical references and index.
327   $aForeword -- 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?
330   $aThis book introduces readers to the basic concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-on approach based on the open-source RHRV software. HRV refers to the variation over time of the intervals between consecutive heartbeats. Despite its apparent simplicity, HRV is one of the most important markers of the autonomic nervous system activity and it has been recognized as a useful predictor of several pathologies. The book discusses all the basic HRV topics, including the physiological contributions to HRV, clinical applications, HRV data acquisition, HRV data manipulation and HRV analysis using time-domain, frequency-domain, time-frequency, nonlinear and fractal techniques. Detailed examples based on real data sets are provided throughout the book to illustrate the algorithms and discuss the physiological implications of the results. Offering a comprehensive guide to analyzing beat information with RHRV, the book is intended for masters and Ph.D. students in various disciplines such as biomedical engineering, human and veterinary medicine, biology, and pharmacy, as well as researchers conducting heart rate variability analyses on both human and animal data.
410  0$aUse R!,$x2197-5744
606   $aBiometry
606   $aSignal processing
606   $aBiomedical engineering
606   $aCardiology
606   $aBiostatistics
606   $aSignal, Speech and Image Processing
606   $aBiomedical Engineering and Bioengineering
606   $aCardiology
615  0$aBiometry.
615  0$aSignal processing.
615  0$aBiomedical engineering.
615  0$aCardiology.
615 14$aBiostatistics.
615 24$aSignal, Speech and Image Processing.
615 24$aBiomedical Engineering and Bioengineering.
615 24$aCardiology.
676   $a519.5
700   $aGarci?a Marti?nez$b Constantino Antonio$4aut$4http://id.loc.gov/vocabulary/relators/aut$00
702   $aOtero Quintana$b Abraham$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aVila$b Xosé A$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aLado Touriño$b María José$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aRodríguez-Liñares$b Leandro$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aRodríguez Presedo$b Jesús María$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aMéndez Penín$b Arturo José$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910254300603321
996   $aHeart Rate Variability Analysis with the R package RHRV$92235924
997   $aUNINA