PPG signals processing using wavelet transform and adaptive filter

This paper presents a PPG signal processing method. Wavelet denoising is applied on the original signal to eliminate high frequency noise, and then a method based on wavelet transform combined with adaptive filter is applied to eliminate the motion artifact. This method uses Wavelet decomposition to extract the motion artifact, which is subsequently used as the reference input of an adaptive filter for noise cancellation. The method reduces the overhead of the circuit because it does not require a separate collection of reference input signal which relate to noise. Experiment results show that this method can effectively remove motion artifact and improve the signal quality.

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