000 04614nam a22006015i 4500
001 978-3-031-65753-5
003 DE-He213
005 20251030113107.0
007 cr nn 008mamaa
008 240927s2024 sz | s |||| 0|eng d
020 _a9783031657535
_9978-3-031-65753-5
024 7 _a10.1007/978-3-031-65753-5
_2doi
050 4 _aQH323.5
072 7 _aPBT
_2bicssc
072 7 _aMED090000
_2bisacsh
072 7 _aPBT
_2thema
100 1 _aGarcía Martínez, Constantino Antonio.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985067
245 1 0 _aHeart Rate Variability Analysis with the R package RHRV
_h[electronic resource] /
_cby 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.
250 _a2nd ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXIII, 189 p. 55 illus., 34 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUse R!,
_x2197-5744
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 _aThis 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 _aBiometry.
_965981
650 0 _aCardiology.
_975410
650 0 _aSignal processing.
650 1 4 _aBiostatistics.
_965985
650 2 4 _aCardiology.
_975410
650 2 4 _aSignal, Speech and Image Processing.
700 1 _aOtero Quintana, Abraham.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985068
700 1 _aVila, Xosé A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985069
700 1 _aLado Touriño, María José.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985070
700 1 _aRodríguez-Liñares, Leandro.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985071
700 1 _aRodríguez Presedo, Jesús María.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985072
700 1 _aMéndez Penín, Arturo José.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985073
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031657528
776 0 8 _iPrinted edition:
_z9783031657542
830 0 _aUse R!,
_x2197-5744
_974728
856 4 0 _uhttps://doi.org/10.1007/978-3-031-65753-5
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c63743
_d63743