PPG signal acquisition system tends to be affected by motion artifacts, in order to improve the high signal-to-noise ratio of PPG signal and the accuracy of physiological parameters calculation, an algorithm for PPG signal artifact correction based on adaptive recursive filtering estimation of eigenvalue K is proposed. After removing environmental interference and power frequency interference from the collected PPG signal, the peak values of systolic wave and dicrotic wave of the signal without artifact interference are calculated, and the characteristic K value of each signal cycle is obtained. Adaptive recursive filtering algorithm is used to estimate the K value of the interfered signal, and the estimated result is taken as the true value of the K value of the interfered signal. Finally, according to the estimated K value, a new undisturbed signal is synthesized by Gauss function method to replace the part of the original signal disturbed by pseudo difference. Through blood pressure measurement experiment, the practicability of this algorithm in wearable system is proved.