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Analysis of Heart Rate Variability

A Review
  • Otto Rompelman
  • Ben J. TenVoorde

Abstract

Fluctuations in heart rate have long been the subject of investigation for almost as long as the electrocardiogram has been measured. Fluctuations with a period in the order of 2 to 100 seconds are usually referred to as heart rate variability (HRV) and are mainly of neuronal origin. This implies that the analysis of HRV may shed some light on the autonomous nervous system as it influences the neuro-cardiovascular system. Two main issues emerge if we want to analyze fluctuations in heart rate, viz. (a) how and with what accuracy can heart rate be assessed, and (b) in which way can variations in heart rate be quantified and analyzed? The lower bounds for the accuracy are discussed leading to the intrinsic signal-to-noise ratio of HRV. Consequently, the event series analysis of the cardiac event is reviewed and an interesting application of this approach is shown.

Keywords

Heart Rate Heart Rate Variability Respiratory Sinus Arrhythmia Occurrence Time Event Series 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1996

Authors and Affiliations

  • Otto Rompelman
    • 1
  • Ben J. TenVoorde
    • 2
  1. 1.Department of Electrical EngineeringDelft University of TechnologyDelftThe Netherlands
  2. 2.Medical Physics and Informatics Group Academic HospitalFree UniversityAmsterdamThe Netherlands

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