Segmenting and Supervising an ECG Signal by Combining the CWT and PCA
In this paper we go about the segmentation and analysis of an electrocardiographic (ECG) signal. Firstly, it consists in working out the locations of different characteristic waves of this signal: the QRS complex and the waves P and T, successively and in the order of magnitude and their amplitude. Secondly, we go about the analysis of this signal by the linear principal component analysis (LPCA) based on the results found in the first part. The importance of this algorithm comes in the context of the ECG supervision and then the cardiovascular system. This algorithm integrates the multi-scale wavelet analysis and principal component analysis. This analysis allows us, first, to apply the continuous wavelet transform (CWT) on the totality of the signal. After that, based on the property of the CWT regularity, the waves will be detected after a thresholding operation. To evaluate the segmentation algorithm two parameters are introduced, the sensitivity Se and the predictive value P+. The results have given an average of Se=99.93% and P+=99.96%, which indicates that our segmentation algorithm is sufficiently reliable in comparison to the real database. In the supervision of the ECG, we use the detected parameters to construct the data-matrix of the LPCA. The defects are detected and located by this tool in order to determine the existing failure in the used signal. Comparing our results with those of the expert, we find that the LPCA gives a concrete state of the cardiovascular system.
Keywords: Multi-scale analysis, continuous wavelet transform, ECG, segmentation, detection, location, principal component analysis
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ABOUT THE AUTHORS
Hanen Chaouch
Chaouch Hanen received his enigineering diploma of industrual instrumentation and maintenance from INSAT-Tunis in 2007. In 2009, she obtained her mastery in measurment and instrumentation from the same university. She is currently Assistant in the Superior Institute of Applied Maths and Informatics in Kairouan (ISMAIK).Hier research interests include Modelling, Control, Monitoring and Command biologic Systems.
Khaled Ouni
Ouni khaled received his License of Automatically Industrial Data Processing from ESST-Tunis. In 2007, he obtained his Mastery in Safety and Security of the Industrial Systems from ISSAT- Sousse.He is currently Assistant in the Superior Institute of Applied Sciences and Technology in Kairouan (ISSATK). His research interests include Modeling, Control, Monitoring and Command Manufactory Systems.
Lotfi Nabli
Nabli Lotfi received his Mastery of Sciences and DEA from ENSET- Tunis - Tunisia in 1989 and 1991 respectively. In 2000, he obtained his doctorate degree in Industrial Automation: Automatic and Industrial Computing from the University of Sciences and Technologies of Lille France. He is currently Assistant professor of Electrical Engineering at the National School of Engineers of Monastir (ENIM) - Tunisia and a Master of conference candidate. His research interests include Modeling, Control, Monitoring and Command Manufactory Systems.
Hanen Chaouch
Chaouch Hanen received his enigineering diploma of industrual instrumentation and maintenance from INSAT-Tunis in 2007. In 2009, she obtained her mastery in measurment and instrumentation from the same university. She is currently Assistant in the Superior Institute of Applied Maths and Informatics in Kairouan (ISMAIK).Hier research interests include Modelling, Control, Monitoring and Command biologic Systems.
Khaled Ouni
Ouni khaled received his License of Automatically Industrial Data Processing from ESST-Tunis. In 2007, he obtained his Mastery in Safety and Security of the Industrial Systems from ISSAT- Sousse.He is currently Assistant in the Superior Institute of Applied Sciences and Technology in Kairouan (ISSATK). His research interests include Modeling, Control, Monitoring and Command Manufactory Systems.
Lotfi Nabli
Nabli Lotfi received his Mastery of Sciences and DEA from ENSET- Tunis - Tunisia in 1989 and 1991 respectively. In 2000, he obtained his doctorate degree in Industrial Automation: Automatic and Industrial Computing from the University of Sciences and Technologies of Lille France. He is currently Assistant professor of Electrical Engineering at the National School of Engineers of Monastir (ENIM) - Tunisia and a Master of conference candidate. His research interests include Modeling, Control, Monitoring and Command Manufactory Systems.
