Abstract: ECG signal processing in body area network environment is faced with many problems,including limited resources and random noise.So it is essential to propose a better algorithm which is used for ECG signal de-noising.On the basis of lifting wavelet transform,we proposed a new de-noising method of ECG signal based on dual-threshold function.With this dual-threshold function processing the detail ECG signal decomposed by lifting wavelet,more accurate noise signal will be separated from the original signal.Simulation results show that the proposed de-noising algorithm overcomes the disadvantages of both soft and hard threshold methods to some degree,and obtains better de-noising performance.The de-noising speed is fast and the design of program is flexible and simple.The algorithm lays the foundation of the further processing of the ECG signal in some restricted environments such as body area networks.

Key words: Body area networks,Lifting wavelet,De-noise,Electrocardiography,Dual-threshold function