欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
基于光电容积脉搏波的方法可以用于人体血氧饱和度的无创检测,基于光电容积脉搏波测量时,由于信号采集过程中随机噪声等干扰,脉搏波信号中存在高频噪声,影响最终的血氧饱和度测量精度。提出采用基于连续均方误差（CMSE）准则的经验模态分解（EMD）法消除脉搏波信号中的高频噪声。利用自行研制的光电容积脉搏波采集装置采集脉搏波信号,应用该方法消除信号中高频噪声,并采用信号的频谱进行效果评价。结果表明：该方法有效消除了高频噪声,这将有利于人体血氧饱和度无创检测精度的提高。
英文摘要：
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.
同期刊论文项目
同项目期刊论文
期刊信息
位置：