00933nam0-2200277 --450 991042315980332120240930163218.0978237276024920201109d2018----kmuy0itay5050 baitaFR 001yy<<Il >>secolo dei pallonistoria linguistica del calcio, del rugby e degli altri sport con la palla nella prima metà del NovecentoRocco Luigi NichilStrasbourgEliPhi, Editions de linguistique et de philologie2018X, 397 p.24 cmTravaux de linguistique romaneLexicologie onomastique et lexicographie796.014410Nichil,Rocco Luigi785939ITUNINAREICATUNIMARCBK9910423159803321450.147 NICH 012020/2310FLFBCFLFBCSecolo dei palloni1749878UNINA04058nam 22006375 450 991089017490332120250807135559.03-031-65753-510.1007/978-3-031-65753-5(MiAaPQ)EBC31692124(Au-PeEL)EBL31692124(CKB)36213811800041(DE-He213)978-3-031-65753-5(EXLCZ)993621381180004120240927d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierHeart 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 Penín2nd ed. 2024.Cham :Springer International Publishing :Imprint: Springer,2024.1 online resource (197 pages)Use R!,2197-57443-031-65752-7 - 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.This 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.Use R!,2197-5744BiometryCardiologySignal processingBiostatisticsCardiologySignal, Speech and Image ProcessingBiometry.Cardiology.Signal processing.Biostatistics.Cardiology.Signal, Speech and Image Processing.570.15195García Martínez Constantino Antonio980219Otero Quintana Abraham1770266Vila Xosé A1770267Lado Touriño María José1770268Rodríguez-Liñares Leandro1770269Rodríguez Presedo Jesús María1770270Méndez Penín Arturo José1770271MiAaPQMiAaPQMiAaPQBOOK9910890174903321Heart Rate Variability Analysis with the R package RHRV4249061UNINA