Best Wavelet Function Identification System for ECG signal denoise applications

The best wavelet function identification (BestWaveID) system was developed to identify and to select the wavelet function that is optimum to denoise a given ECG signal. Currently the wavelet function identification and selection process are highly rely on human expertise and knowledge of wavelet function in the field of biomedical signal denoising, others rely on trial and error basis which is time consuming. The BestWaveID system require only two inputs to perform the wavelet function evaluation, identification and selection, there are the sample of the ECG signal to be denoise and the expected noise level to be contaminated in the ECG signal. The BestWaveID system perform an iterative denoising on the given ECG signal using every single wavelet function and possible decomposition to evaluate their denoise performance on the given ECG signal in term of signal to noise ratio. The wavelet function that gives the highest signal to noise ratio with the highest occurrence is the optimum denoise wavelet function for the given ECG signal.