Adding Two Dimensions to Heart Rate Variability Research

Joachim Behar, Ori Shemla, Ido Weiser-Bitoun, Aviv A. Rosenberg, Yael Yaniv

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Introduction: Heart rate variability (HRV) analysis tools have been mainly available for analysis of human electrocardiographic derived heart rate. We explore extending HRV analysis to two additional dimensions: (1) analysis across multiple mammalian species and (2) analysis across different levels of integration for example sinoatrial tissue. Methods: We analyzed the beating rate variability (BRV) across the two additional dimensions using the PhysioZoo computer program that we recently introduced. We used published databases of electrocardiograms from four mammal types: human (n=18), dog (n=17, rabbit (n=4) and mouse (n=8) We computed the BRV measures for each. We also show how the PhysioZoo program can be used for the analysis of sinoatrial node tissue BRV. Results: The study of typical mammalian heart and respiration rates (obtained from the dominant high frequency peak) revealed a linear relationship between these two quantities. Analysis of the rabbit sinoatrial node tissue BRV showed that it had reduced overall variability when compared to in vivo heart BRV.

Original languageEnglish
Title of host publicationComputing in Cardiology Conference, CinC 2018
ISBN (Electronic)9781728109589
StatePublished - Sep 2018
Event45th Computing in Cardiology Conference, CinC 2018 - Maastricht, Netherlands
Duration: 23 Sep 201826 Sep 2018

Publication series

NameComputing in Cardiology


Conference45th Computing in Cardiology Conference, CinC 2018

All Science Journal Classification (ASJC) codes

  • Cardiology and Cardiovascular Medicine
  • General Computer Science


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