QRS complex detection based on Symmlets wavelet function

Abstract

Wavelet theory is inspired the development of a strong methodology for signal processing and can be used as a good tool for non-stationary electrocardiogram (ECG signal) detection. In this paper a QRS complex detection method is proposed based on wavelet transform (WT) with Symmlets function. The proposed method show sharp results for ECG detection parameters. The fiducial points are easily detected and the results show that the sensitivity of the proposed detector is 99.8% and the specificity is 98.6%. The results obtained in this paper are based on real ECG signal.