Title :
Delineation of the complex QRS and the T-end using wavelet transform and surface indicator
Author :
Dib, N. ; Benali, R. ; Slimane, Z. Hadj ; Bereksi-Reguig, F.
Author_Institution :
Biomed. Electron. Dept., Abou Bekr Belkaid Univ., Tlemcen, Algeria
Abstract :
In this paper, a new algorithm for ECG waves segmentation is described. The algorithm is based on the wavelet transform for the complex QRS delineation and a surface indicator for the detection of the T-end waves. The described algorithm was evaluated using ECG signals from the universal database MIT BIH. A sensitivity of 99.35% and a positive predictivity of 99.05% are reached. Those obtained results show the good performances of this new algorithm.
Keywords :
electrocardiography; medical signal detection; wavelet transforms; ECG wave segmentation; T-end wave detection; complex QRS delineation; surface indicator; universal database MIT BIH; wavelet transform; Approximation methods; Databases; Electrocardiography; Prediction algorithms; Surface waves; Wavelet transforms; ECG delineation; surface indicator; wavelet transform;
Conference_Titel :
Systems, Signal Processing and their Applications (WOSSPA), 2011 7th International Workshop on
Conference_Location :
Tipaza
Print_ISBN :
978-1-4577-0689-9
DOI :
10.1109/WOSSPA.2011.5931419
