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A stochastic nonlinear autoregressive algorithm reflects nonlinear dynamics of heart-rate fluctuations

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  • Antonis A. Armoundas
  • Kihwan Ju
  • Nikhil Iyengar
  • Kanters, Jørgen K.
  • Philip J. Saul
  • Richard J. Cohen
  • Ki H. Chon

A new computational algorithm to quantify nonlinear heart-rate dynamics was developed. The term stochastic nonlinear autoregressive (SNAR) model was coined to emphasize that the method models both the deterministic and the stochastic components of the system. Finally, the applicability and reliability of the SNAR algorithm to predict the outcome of cardiac electrophysiologic study (EPS) were demonstrated.

OriginalsprogEngelsk
TidsskriftAnnals of Biomedical Engineering
Vol/bind30
Udgave nummer2
Sider (fra-til)192-201
Antal sider10
ISSN0090-6964
DOI
StatusUdgivet - 27 apr. 2002

ID: 204300058