A New Model-Based Ectopic Beat Correction Algorithm for Heart Rate Variability

Abstract

We propose a new ectopic beat correction algorithm for Heart Rate Variability (HRV) that is based on the Integral Pulse Frequency Modulation (IPFM) model The model is used to infer the modulation signal that has generated the beats surrounding the ectopic beat. The ectopic beat is then removed and replaced with a normal beat at the time which least disturbs the rhythm identified with the IPFM model. We test the performance of the technique by removing simulated ectopy from real heart rate data from human subjects using a number of previously published correction techniques as well as our own. We show that our new technique performs significantly better than existing techniques for low and high levels of ectopy.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411674

Entities

People

  • Marimuthu Palaniswami
  • Michael L. Brennan
  • Peter Kamen

Organizations

  • University of Melbourne

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Amplitude Modulation
  • Autonomic Nervous System
  • Data Acquisition
  • Engineering
  • Errors
  • Frequency
  • Frequency Domain
  • Frequency Modulation
  • Heart
  • Heart Rate
  • Interpolation
  • Intervals
  • Modulation
  • Nervous System
  • Pulse Frequency Modulation
  • Time Domain

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Cellular and Molecular Pathways of Apoptosis.
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference