DocumentCode
2318583
Title
ECG signal quantization effects in the analysis of atrial fibrillation
Author
Vayá, C. ; Rieta, J.J.
Author_Institution
Innovation in Bioeng. Group, Univ. de Castilla-La Mancha, Cuenca
fYear
2007
fDate
Sept. 30 2007-Oct. 3 2007
Firstpage
477
Lastpage
480
Abstract
During last years spectral analysis techniques applied to the ECG have contributed to the knowledge and management of atrial fibrillation (AF). In this matter, it is proved the utility of parameters extracted from the atrial activity (AA) in the time-frequency domain for episode analysis and characterization. These techniques are mostly applied to high resolution 12-lead ECGs. Nevertheless, these high resolution recordings are not always available in the clinical practice and recordings from low resolution acquisition systems, e.g. Holter systems, must be used instead. In this work we analyze the effects of ECG quantization on the AA extraction quality carried out by one of the most recent techniques, independent component analysis (ICA), and the suitability of time-frequency parameters in low resolution recordings.
Keywords
bioelectric phenomena; electrocardiography; independent component analysis; medical signal processing; time-frequency analysis; AA extraction quality; ECG quantization effects; ECG signal quantization; ECG spectral analysis techniques; ICA; atrial activity parameters; atrial fibrillation analysis; episode analysis; episode characterization; high resolution recordings; independent component analysis; time-frequency domain; time-frequency parameter suitability; Atrial fibrillation; Electrocardiography; Filtering; Independent component analysis; Low pass filters; Nonlinear filters; Quantization; Signal analysis; Signal resolution; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology, 2007
Conference_Location
Durham, NC
ISSN
0276-6547
Print_ISBN
978-1-4244-2533-4
Electronic_ISBN
0276-6547
Type
conf
DOI
10.1109/CIC.2007.4745526
Filename
4745526
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