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Organization tracking of long-term atrial fibrillation recordings: differences between paroxysmal and persistent episodes

Författare:
Publiceringsår: 2009
Språk: Engelska
Sidor: 509-512
Publikation/Tidskrift/Serie: [Host publication title missing]
Volym: 36
Dokumenttyp: Konferensbidrag
Förlag: IEEE--Institute of Electrical and Electronics Engineers Inc.

Sammanfattning

In this work, a method for non-invasive assessment of

AF organization has been applied to discriminating between

paroxysmal and long-term persistent AF episodes.

Following extraction of the atrial activity (AA) signal,

the dominant atrial frequency (DAF) of the AA was computed

based on a hidden Markov model. Finally, the main

atrial wave (MAW) was obtained by bandpass filtering

centered on the DAF, thus providing a time series suitable

for AF organization estimation with sample entropy

(SampEn). The performance of the method was evaluated

on 24-h Holter recordings with long-term changes

in AF organization. The results showed that episodes of

paroxysmal AF (0.06930.0147) were consistently associated

with lower SampEn than episodes with persistent

AF (0.10560.0146). Moreover, 94.2% of 1-min segments

with paroxysmal AF and 88.6% of 1-min segments with

persistent AF could be correctly classified based on Samp-

En information, thus making it possible to classify longterm

recordings of patients without AF history.

Nyckelord

  • Electrical Engineering, Electronic Engineering, Information Engineering

Övriga

36th Annual Computers in Cardiology Conference, 2009
Published
  • Signal Processing-lup-obsolete

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