Title :
ECG Signal Maxima Detection Using Wavelet Transform
Author :
Ktata, S. ; Ouni, K. ; Ellouze, N.
Author_Institution :
Signal, Image & Pattern Recognition Laboratory, Tunis Nat. Sch. of Eng.
Abstract :
This paper deals with the application of a novel approach for ECG signal characteristic points detection by wavelet transform. The aim of this work is to detect automatically the R peaks, the T and P wave maxima, separately. After having represented the ECG equivalent in time frequency domain, we detect the complex QRS maximum and the T wave using the truncation of these waves by rectangular window. The influence of scale levels in our proposed algorithm is tested for a large amount of ECG signals. Results are given for signals extracted from the MIT/BIH database, confirming the robustness of our approach
Keywords :
electrocardiography; medical signal detection; time-frequency analysis; wavelet transforms; ECG signal characteristic points detection; ECG signal maxima detection; time frequency domain; wavelet transform; Continuous wavelet transforms; Databases; Electrocardiography; Frequency; Robustness; Signal analysis; Signal detection; Signal resolution; Wavelet analysis; Wavelet transforms; ECG signal; analysis multiresolution; maxima detection; wavelet transform;
Conference_Titel :
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0496-7
Electronic_ISBN :
1-4244-0497-5
DOI :
10.1109/ISIE.2006.295547