Predicting spontaneous termination of atrial fibrillation with time-frequency information
(2004) Computers in Cardiology 2004 31. p.657-660- Abstract
- Our approach to predicting spontaneous termination of atrial fibrillation (AF) is based on parameters derived from the time-frequency distribution of the residual ECG signal, resulting from spatiotemporal cancellation of QRST complexes. Each consecutive, logarithmically scaled spectrum of the time-frequency distribution of the residual ECG is modeled as a frequency shifted and amplitude scaled version of a spectral profile. Parameters characterizing AF, such as fundamental frequency, amplitude, and waveform of the fibrillation waves, are then extracted from the spectral profile. The waveform of the spectral profile is used to distinguish AF from sinus rhythm and noise, so that occasional episodes of sinus rhythm and noise can be excluded.... (More)
- Our approach to predicting spontaneous termination of atrial fibrillation (AF) is based on parameters derived from the time-frequency distribution of the residual ECG signal, resulting from spatiotemporal cancellation of QRST complexes. Each consecutive, logarithmically scaled spectrum of the time-frequency distribution of the residual ECG is modeled as a frequency shifted and amplitude scaled version of a spectral profile. Parameters characterizing AF, such as fundamental frequency, amplitude, and waveform of the fibrillation waves, are then extracted from the spectral profile. The waveform of the spectral profile is used to distinguish AF from sinus rhythm and noise, so that occasional episodes of sinus rhythm and noise can be excluded. Using these parameters, 95% of the ECGs from the training set, and 90% from the test set was correctly classified as non-terminating and terminating AF respectively. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/614585
- author
- Sandberg, Frida LU ; Stridh, Martin LU ; Bollmann, Andreas LU and Sörnmo, Leif LU
- organization
- publishing date
- 2004
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Atrial fibrillation (AF), Spatiotemporal cancellation, Time-frequency distribution, Fibrillation waves
- host publication
- Computers in Cardiology
- volume
- 31
- pages
- 657 - 660
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- Computers in Cardiology 2004
- conference location
- Chicago, IL, United States
- conference dates
- 2004-09-19 - 2004-09-22
- external identifiers
-
- wos:000229753800165
- scopus:28144453849
- ISSN
- 0276-6574
- DOI
- 10.1109/CIC.2004.1443024
- language
- English
- LU publication?
- yes
- id
- d16a065a-c902-441d-94c6-6a330d890d15 (old id 614585)
- date added to LUP
- 2016-04-01 16:11:12
- date last changed
- 2022-01-28 17:55:30
@inproceedings{d16a065a-c902-441d-94c6-6a330d890d15, abstract = {{Our approach to predicting spontaneous termination of atrial fibrillation (AF) is based on parameters derived from the time-frequency distribution of the residual ECG signal, resulting from spatiotemporal cancellation of QRST complexes. Each consecutive, logarithmically scaled spectrum of the time-frequency distribution of the residual ECG is modeled as a frequency shifted and amplitude scaled version of a spectral profile. Parameters characterizing AF, such as fundamental frequency, amplitude, and waveform of the fibrillation waves, are then extracted from the spectral profile. The waveform of the spectral profile is used to distinguish AF from sinus rhythm and noise, so that occasional episodes of sinus rhythm and noise can be excluded. Using these parameters, 95% of the ECGs from the training set, and 90% from the test set was correctly classified as non-terminating and terminating AF respectively.}}, author = {{Sandberg, Frida and Stridh, Martin and Bollmann, Andreas and Sörnmo, Leif}}, booktitle = {{Computers in Cardiology}}, issn = {{0276-6574}}, keywords = {{Atrial fibrillation (AF); Spatiotemporal cancellation; Time-frequency distribution; Fibrillation waves}}, language = {{eng}}, pages = {{657--660}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Predicting spontaneous termination of atrial fibrillation with time-frequency information}}, url = {{http://dx.doi.org/10.1109/CIC.2004.1443024}}, doi = {{10.1109/CIC.2004.1443024}}, volume = {{31}}, year = {{2004}}, }