Title :
Pitch Synchronous Wavelet and Hidden Semi-Markov Models based method for ECG analysis
Author :
Krimi, Samar ; Ouni, Kais ; Ellouze, Noureddine
Author_Institution :
Lab. of Syst. & Signal Process. (LSTS), Nat. Eng. Sch. of Tunis (ENIT), Tunis, Tunisia
Abstract :
In this paper we develop a new approach to ECG analysis, combining Pitch Synchronous Wavelet Transform (PSWT) and Hidden Semi-Markov Model (HSMM) for tracking the typical ECG cycle. The combination of these two techniques was examined in a way that the PSWT of an ECG signal was an input for the HSMM. This approach was tested and evaluated on the manually annotated QT database. Experimental results show the accuracy of the proposed technique for all corrupted ECG tested reaching a sensitivity Se=99,95% for QRS detection and Se=97,79% for T detection.
Keywords :
electrocardiography; hidden Markov models; medical signal detection; medical signal processing; synchronisation; tracking; wavelet transforms; ECG analysis; ECG signal PSWT; HSMM input; QRS detection sensitivity; T detection; corrupted ECG testing; hidden semi-Markov model based method; manually annotated QT database; pitch synchronous wavelet based method; pitch synchronous wavelet transform; typical ECG cycle tracking; Databases; Electrocardiography; Hidden Markov models; Markov processes; Signal processing; Wavelet transforms;
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6
