ECG noise thresholding based on moving average

Noise cancellation is very important step for ECG signal processing. For this problem, there are many methods had been applied. For example, Wavelet based de-noises, EMD based de-noise, Kalman based de-noise, etc. for resource very limited system, the above method may be not fit into the system resource. Algorithm complexity and resource requirement will be the major concern in this work. In this paper, a new processing flow is proposed. it is combined two concepts, one is moving average and another is soft-thresholding. First, we will explain the whole process. Next, the performance will be discussed. And at the last, we will talk about the possible way to improvement the flow.