Title :
Atrial Fibrillation ECG Signal Processing for QRST Cancellation: Zero-Padding Versus Time Alignment
Author :
Gholinezhadasnefestani, S. ; Escalona, O. ; Castro, Nuno ; Nazarzadeh, Kimia ; Kodoth, Vivek ; Lau, Eric ; Manoharan, Ganesh
Author_Institution :
Univ. of Ulster, Newtownabbey, UK
Abstract :
In non-invasive analysis of atrial fibrillation (AF), the QRST cancellation is commonly applied by using a time-aligned average over several ECG cycles. This paper proposes another technique with less illusive high frequency content into the residual signal. Firstly the QRS complexes and T-end were detected by Pan-Tompkins´s technique and Zhang´s algorithm respectively. Subsequently, the QRST segment was determined in each period of the ECG signal. Then, two different approaches (time-aligned and zero padding) were applied to remove the QRST segments from each period and make the signal ready for AF analysis. To compare the effectiveness of the QRST cancellation approaches, mean spectral power of the residual signal at high frequency bands (upper 12 Hz) was used. The results indicated a superiority of the time-aligned averaging method for the application of AF analysis.
Keywords :
electrocardiography; medical signal processing; ECG signal processing; Pan-Tompkins technique; QRS complexes; QRST cancellation; T-end; Zhang algorithm; atrial fibrillation; mean spectral power; noninvasive analysis; time alignment; time-aligned average; time-aligned averaging method; zero-padding; Atrial fibrillation; Band pass filters; Electrocardiography; Filtering algorithms; Frequency measurement; Heart beat; Noise; Atrial fibrillation; ECG signal; QRS peak detection; QRST cancellation;
Conference_Titel :
Andean Region International Conference (ANDESCON), 2012 VI
Conference_Location :
Cuenca
Print_ISBN :
978-1-4673-4427-2
DOI :
10.1109/Andescon.2012.20