ECG-based feature tracking in atrial tachyarrhythmias
(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:
https://lup.lub.lu.se/record/612386
- author
- Stridh, Martin LU ; Sörnmo, Leif LU and Olsson, S.B.
- organization
- publishing date
- 2003
- 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}}, }