血压脉搏振荡波的三重软件滤波提取算法  被引量:8

Three-step software filtering algorithm for extracting blood pressure pulse shock wave

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作  者:许永峰[1,2] 贺玉成[1,2] 周林[1,2] 

机构地区:[1]华侨大学信息科学与工程学院,厦门361021 [2]厦门市移动多媒体通信重点实验室,厦门361021

出  处:《电子测量与仪器学报》2015年第3期454-459,共6页Journal of Electronic Measurement and Instrumentation

基  金:福建省自然科学基金(2014J01243;2014J05076);华侨大学科研基金(13Y0384;12BS219)资助项目

摘  要:脉搏振荡波的准确提取是提高示波法血压测量精度的一个关键问题。传统的硬件滤波器由于电子元件内部干扰及各种噪声,使得所获脉搏振荡波往往不具备测量所需的明显波形特征,从而导致较大的血压测量误差。针对脉搏振荡波提取和处理问题,提出基于软件滤波的三重滤波算法。首先通过递推均值滤波法从原始混合压力信号中有效提取出带噪的脉搏振荡波;然后根据噪声信号的特点,利用中值滤波法完成去噪处理;最后再通过递推均值滤波,实现对振荡波的平滑,最终得到去噪且波形特征明显的脉搏振荡波。在MATLAB平台分别对单重、两重和三重滤波算法进行仿真,同时引入平均欧氏距离、均方根误差和相关系数等对结果进行评价。评价结果表明相比于单重、两重滤波法,三重滤波具有更高的准确性。Exact extraction of the pulse wave is a key issue in improving the precision of oscillometric blood pres-sure measurement.Due to internal interference and noise of electronic components, the traditional hardware filter usually provides the pulse wave without obvious waveform features that are required by the blood pressure measure-ment, thus a large measurement error could be caused.In order to extract accurate pulse wave, a three-step soft-ware filtering algorithm is presented.Firstly, a recursive mean filter is employed to extract the pulse wave with noise from the original mixed pressure signal.Then, a median filter is used to denoise the pulse wave according to the statistics of interference signal.Finally, a further recursive mean filter is used to smooth the pulse wave with obvious features at the output.The performances of the single step filtering , double step filtering and three-step fil-tering algorithms are simulated in the MATLAB platform , and they are evaluated using average Euclidean distance , root mean square error and correlation coefficients .The simulation results show that , compared with the single step and double step filtering algorithms , the three-step filtering algorithm has much higher accuracy for the extraction of pulse wave .

关 键 词:软件滤波 信号处理 脉搏振荡波 血压 

分 类 号:TP274.2[自动化与计算机技术—检测技术与自动化装置] TN911.72[自动化与计算机技术—控制科学与工程]

 

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