均值滤波和形态学在振荡脉搏波提取中应用  

Application of Average Filter and Morphology in Oscillation Pulse Wave Extraction

作　　者：张笑东[1,2] 蒲宝明[2] 霍红[1,2] 李相泽[3] 李姣姣[4] 

机构地区：[1]中国科学院大学,北京100049 [2]中国科学院沈阳计算技术研究所,沈阳110168 [3]东北大学,沈阳110819 [4]中国石油管道公司,廊坊065000

出　　处：《计算机系统应用》2016年第2期157-161,共5页Computer Systems & Applications

摘　　要：目前,市场上85%以上的电子血压计均采用振荡法进行血压测量,振荡法血压测量的关键步骤就是从原始的采集信号中提取出纯净振荡脉搏波用于血压计算.本文将采用自己研制的基于上气式的血压数据采集装置进行数据采集,针对采集过程中由于电机振荡、呼吸以及身体移动和电子元器件温度变化等因素所引起的高频噪声和基线漂移,提出了滑动均值滤波和数学形态学结合的去噪方法.经过实验验证表明,该方法有效地去除了振荡脉搏波中的高频噪声和基漂信号;通过信号频谱分析表明,明显降低了信号高频段的幅值,信噪比得到了良好的改善,提高了血压测量的精度.At present, in the market, more than 85% of the electronic sphygmomanometers adopt oscillometric method to measure blood pressure. The key step of oscillometric method is to extract the pure oscillation pulse wave from the original signals, which is used for the measurement of blood pressure. This paper will use the self-made device based on the flation of blood pressure data acquisition to collect data. In the view of the high frequency noise and baseline drifting caused by the motor oscillation, respiration and body movement, electronic component temperature changes and so on, method of combination of moving average filter and mathematical morphology is proposed. The experimental result shows that this method can effectively eliminate the high frequency noise and drift signal in the oscillation pulse wave. The signal spectrum analysis shows that it clearly reduces the amplitude of high frequency signal, makes the SNR get a good improvement, and improves the accuracy of blood pressure measurement.

关 键 词：血压 振荡法 振荡脉搏波 滑动均值滤波与数学形态学 

分 类 号：R443.5[医药卫生—诊断学] TN911.7[医药卫生—临床医学]