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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 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
; and
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
host publication
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
conference location
Thessaloniki Chalkidiki, Greece
conference dates
2003-09-21 - 2003-09-24
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
2016-04-04 09:59:31
date last changed
2022-01-29 19:37:26
@inproceedings{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.}},
  booktitle    = {{Computers in Cardiology 2003 (IEEE Cat. No.03CH37504)}},
  isbn         = {{0-7803-8170-X}},
  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}},
  language     = {{eng}},
  pages        = {{721--724}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{ECG-based feature tracking in atrial tachyarrhythmias}},
  url          = {{http://dx.doi.org/10.1109/CIC.2003.1291257}},
  doi          = {{10.1109/CIC.2003.1291257}},
  volume       = {{30}},
  year         = {{2003}},
}