A lifting double-wavelet algorithm for ECG signal denoising

This paper introduces a lifting double-wavelet algorithm for electrocardiogram signal denoising by using the improved threshold function in the lifting wavelet decomposition to deal with wavelet coefficients. The results, based on data from MIT-BIT arrhythmia database, show that noise can be eliminated effectively with lower distortion and higher signal-to-noise ratio compared with the single wavelet thresholding method. The algorithm is also highly suitable in real-time signal processing systems and wearable medical devices.