The Method of Removing High-Frequency Noise in Pulse Wave Signal in Detecting Oxygen Saturation of Human
LI Qing-bo, HAN Qing-yang
Precision Opto-mechatronics Technology, Key Laboratory of Education Ministry, School of Instrumentation Science & Opto-electronics Engineering，Beihang University, Beijing 100191, China
Abstract：Photoplethysmography can be used to noninvasively detect oxygen saturation of human. When detecting by photoplethysmography, because of the disturbance of random noise in the process of signal acquisition, there is high-frequency noise, which affects the final prediction accuracy of oxygen saturation. Therefore empirical mode decomposition(EMD) method based on consecutive mean square error(CMSE) criterion is employed, which can remove high-frequency noise from pulse wave signal. The present paper used a self-developed photoplethysmography acquiring device to obtain the pulse wave signal, employed the above mentioned method to remove high-frequency noise, and adopted frequency spectrum of the signal to evaluate the effect. The results showed that: this method could effectively remove high-frequency noise from pulse wave signal. This would be beneficial for improving the prediction accuracy of oxygen saturation of human.
Key words：Pulse wave signal;High-frequency noise;Empirical mode decomposition;Consecutive mean square error
李庆波，韩庆阳 . 人体血氧饱和度检测中消除脉搏波信号高频噪声的方法[J]. 光谱学与光谱分析, 2012, 32(09): 2523-2527.
LI Qing-bo, HAN Qing-yang. The Method of Removing High-Frequency Noise in Pulse Wave Signal in Detecting Oxygen Saturation of Human . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(09): 2523-2527.
