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ECG-based feature tracking in atrial tachyarrhythmias

Stridh, Martin LU ; Sörnmo, Leif LU and Olsson, S.B. (2003) Computers in Cardiology 2003 In Computers in Cardiology 2003 (IEEE Cat. No.03CH37504) 30. p.721-724
Abstract
A new method for extraction of general features in ECGs with atrial tachyarrhythmias is presented. The method is based on our recent method for atrial signal characterization which sequentially decomposes a time-frequency distribution into a set of parameters. In addition to rate and amplitude, the method tracks information on regularity, waveform, and structure of the atrial signal. The proposed method includes a feature tracker which continuously tracks the structure of the harmonic spectral pattern in order to determine which of a set of archetype waveforms that is best matched. The method also includes a trend detector, which detects significant long-term changes in the time series of frequency estimates. The results, illustrated by... (More)
A new method for extraction of general features in ECGs with atrial tachyarrhythmias is presented. The method is based on our recent method for atrial signal characterization which sequentially decomposes a time-frequency distribution into a set of parameters. In addition to rate and amplitude, the method tracks information on regularity, waveform, and structure of the atrial signal. The proposed method includes a feature tracker which continuously tracks the structure of the harmonic spectral pattern in order to determine which of a set of archetype waveforms that is best matched. The method also includes a trend detector, which detects significant long-term changes in the time series of frequency estimates. The results, illustrated by signals obtained during different interventions and a test signal, show that the algorithms can discriminate between different types of atrial rhythms (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
atrial signal structure, harmonic spectral pattern, trend detector, time series, atrial signal waveform, atrial signal regularity, time-frequency distribution, atrial signal characterization, feature extraction, ECG-based feature tracking, atrial tachyarrhythmias
in
Computers in Cardiology 2003 (IEEE Cat. No.03CH37504)
volume
30
pages
721 - 724
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
Computers in Cardiology 2003
external identifiers
  • WOS:000189491900183
  • Scopus:4143151909
ISBN
0-7803-8170-X
DOI
10.1109/CIC.2003.1291257
language
English
LU publication?
yes
id
8f65fd90-6b46-4fda-ab08-a7d214a1d905 (old id 612386)
date added to LUP
2007-12-03 12:09:37
date last changed
2016-10-13 04:37:20
@misc{8f65fd90-6b46-4fda-ab08-a7d214a1d905,
  abstract     = {A new method for extraction of general features in ECGs with atrial tachyarrhythmias is presented. The method is based on our recent method for atrial signal characterization which sequentially decomposes a time-frequency distribution into a set of parameters. In addition to rate and amplitude, the method tracks information on regularity, waveform, and structure of the atrial signal. The proposed method includes a feature tracker which continuously tracks the structure of the harmonic spectral pattern in order to determine which of a set of archetype waveforms that is best matched. The method also includes a trend detector, which detects significant long-term changes in the time series of frequency estimates. The results, illustrated by signals obtained during different interventions and a test signal, show that the algorithms can discriminate between different types of atrial rhythms},
  author       = {Stridh, Martin and Sörnmo, Leif and Olsson, S.B.},
  isbn         = {0-7803-8170-X},
  keyword      = {atrial signal structure,harmonic spectral pattern,trend detector,time series,atrial signal waveform,atrial signal regularity,time-frequency distribution,atrial signal characterization,feature extraction,ECG-based feature tracking,atrial tachyarrhythmias},
  language     = {eng},
  pages        = {721--724},
  publisher    = {ARRAY(0x9e6d9e0)},
  series       = {Computers in Cardiology 2003 (IEEE Cat. No.03CH37504)},
  title        = {ECG-based feature tracking in atrial tachyarrhythmias},
  url          = {http://dx.doi.org/10.1109/CIC.2003.1291257},
  volume       = {30},
  year         = {2003},
}