Hilbert-Huang Transform and Wavelet Transform for ECG Detection

HHT (Hilbert transform) and wavelet transform are both signal processing methods. This paper is based on HHT and wavelet transform to detect R peak. Firstly using wavelet transform to de-noise, then we are focus on using the empirical mode decomposition (EMD) to electrocardiogram (ECG) which can be decomposed into a limited number of IMF (intrinsic mode functions) .The R peaks are identified by adding the first three IMFs and applying a set of adaptive thresholds that are not limited to a strict range. Additionally, the new algorithm can successfully detect R peak for a wide variety of ECG shapes used in Physionet ECG database.