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Pulse wave signal contains abundant physiological and pathological information, however, the existence of baseline drift seriously affects the accurate extraction of human physiological parameters and needs to be removed. For the traditional empirical modal decomposition (EMD) method, when the baseline drift is removed, The intrinsic mode function order of the baseline drift signal is determined by the experience, which leads to the decrease of the denoising performance. Based on the characteristics of EMD decomposition process, this paper proposes a method based on zero-crossing rate detection to improve the baseline drift order by calculating the zero-crossing rate of each layer's intrinsic modal function and setting a reasonable threshold. The experimental results show that the algorithm proposed in this paper is scientific and reasonable, can effectively remove the baseline drift of pulse wave, improve signal-to-noise ratio and improves the accuracy of photoelectric pulse physiological parameters of blood pressure, blood oxygen wave extraction.