DocumentCode :
591300
Title :
Atrial electrical activity detection in the 12-lead ECG using synthetic atrial activity signals
Author :
Perlman, Or ; Katz, Al ; Weissman, Nir ; Zigel, Y.
Author_Institution :
Dept. of Biomed. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
fYear :
2012
fDate :
9-12 Sept. 2012
Firstpage :
665
Lastpage :
668
Abstract :
A significant key for the success of arrhythmia diagnosis using ECG is detecting the atrial electrical activity (AEA). Despite extensive research, there is a diagnostic problem in detecting AEA in some arrhythmias, especially when the AEA-wave is hidden in other waves. Our proposed method utilizes the well-known linear combiner usually used for noise reduction, and adapted it for AEA detection. The physician/user marks one prominent AEA segment. Then, a synthetic signal is created that contains an isoelectric line in addition to a Gaussian in the delineated segment. The 6 precordial leads, lead I, and lead II, serve as reference signals, so by finding the appropriate weight coefficients, their linear combination is forced to converge to a signal that is similar to the AEA signal. At the final stage, the resulting signal is band-pass filtered and the peaks higher than a certain threshold are determined to be AEA-waves. Sensitivity of 94.0% and precision of 90.2% were achieved in detecting AEA from the standard 12-lead ECG for various arrhythmia types.
Keywords :
Gaussian noise; band-pass filters; bioelectric potentials; electrocardiography; medical signal processing; patient diagnosis; sensitivity; signal denoising; 12-lead ECG; Gaussian delineated segment; arrhythmia diagnosis; atrial electrical activity detection; band-pass filter; electrocardiography; noise reduction; physician-user marks; sensitivity; synthetic atrial activity signals; Atrial fibrillation; Band pass filters; Electrocardiography; Noise; Sensitivity; Standards; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology (CinC), 2012
Conference_Location :
Krakow
ISSN :
2325-8861
Print_ISBN :
978-1-4673-2076-4
Type :
conf
Filename :
6420481
Link To Document :
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