The measurement of blood-oxygen saturation is based on the pulse wave signal, but there are many factors impact the accuracy of measurement, such as high frequency noise caused by instrument thermal noise and baseline drift caused by the breath. A method which combines Ensemble Empirical Mode Decomposition (EEMD) and Permutation Entropy (PE) is proposed, it can decrease high frequency noise and baseline drift. The pulse wave signal is decomposed by EEMD, the PE of each Intrinsic Mode Function (IMF) is calculated and the threshold value of PE is chosen. Then the IMFs which present high frequency noise and baseline drift are judged and decreased. Finally, the signal without high frequency noise and baseline drift is achieved. A self-developed measurement device is used to obtain the pulse wave for testing validation, and the signal spectrum and AC-DC modulation ratio value are adopted to evaluate the effect. The result shows that this method could effectively remove high frequency noise and baseline drift, which is conducive to improve the accuracy of blood-oxygen saturation.
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