The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

ECG-based waveform characterization of atrial fibrillation

På svenska

Author

Summary, in English

In atrial fibrillation (AF), the body surface signal pattern varies considerably from one patient to another as well as over time. We have developed a new method for ECG-based characterization of AF which explores the morphology of the f-waves. Following QRST cancellation, the method divides the atrial signal into short blocks and performs a model-based analysis of each block. The blocks are then clustered into different waveform patterns. The method was applied to a database of 36 patients (10-s recordings) with organized AF. The results show that the different waveforms in AF are well represented by the proposed model. Each recording was, in average, represented by 3 clusters of which the main cluster covered 31% of the blocks. In lead V1, the typical phase relationship between the fundamental and first harmonic was -82 degrees, indicating sawtooth-like waves with a steeper downslope than upslope.

Publishing year

2007

Language

English

Pages

269-272

Publication/Series

[Host publication title missing]

Volume

34

Document type

Conference paper

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

Computers in Cardiology, 2007

Conference date

2007-09-30 - 2007-10-04

Conference place

Durham, NC, United States

Status

Published

Research group

  • Signal Processing Group

ISBN/ISSN/Other

  • ISSN: 0276-6574
  • ISBN: 978-1-4244-2533-4