Title :
A noise independent approach to QRS-complex detection using CWT
Author :
Mukherjee, Arjun ; Ghosh, K.K.
Author_Institution :
Dept. of Electron. & Commun. Eng., Univ. of Eng. & Manage., Jaipur, India
Abstract :
In this paper we propose an efficient approach to QRS-complex detection using the Continuous Wavelet Transform (CWT). The method described in this paper is not affected by the presence of noise in the ECG signal nor does it depend on the morphology of the ECG waves. The speed of analysis of ECG signals using CWT and the accuracy of QRS-complex detection has been increased. The implementation of this method puts the CWT based peak detection methods at par with the DWT based methods with, same and in some cases, better accuracy of detection than the DWT based methods.
Keywords :
electrocardiography; medical signal processing; wavelet transforms; CWT based peak detection methods; DWT based methods; ECG signal; ECG waves; QRS-complex detection; continuous wavelet transform; noise independent approach; Continuous wavelet transforms; Discrete wavelet transforms; Electrocardiography; Wavelet analysis; Wavelet coefficients; Continuous Wavelet Transform; ECG; QRS complex detection;
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2013 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4799-0397-9
DOI :
10.1109/ICIEV.2013.6572722