Wavelet transform performs very well in removing noise of ECG, but the traditional wavelet transform costs a large number of calculations, it is inconvenient to real-time processing and embedded systems implementation. The lifting wavelet is a fast and effective implementation of wavelet transform. This article introduces an ECG de-noising method using lifting wavelet and median filtering. In this method, the lifting wavelet was used for three-level decomposition to ECG signals, and different wavelet bases were chosen  to remove 50Hz frequency interference and EMG interference at different levels. We used the median filtering method to the data obtained after third level decomposition to remove baseline drift. Compare de-noising results of the above method with the traditional wavelet method, it was indicated that the de-noising results were equivalent, however the computing speed of the proposed method was improved greatly. Combination of lifting wavelet and median filtering gives a very good method to remove 50Hz frequency interference, EMG interference and baseline drift, and it also can improve computing speed, makes it ease of real-time processing and embedded system implementations.