血氧测量快速滤波与实时算法设计  

Fast filtering and real-time algorithm design for wireless SpO_2 nodes

作　　者：王际忠[1] 王志武[1] 颜国正[1] 刘大生[1] 

机构地区：[1]上海交通大学,上海200240

出　　处：《北京生物医学工程》2015年第6期595-599,共5页Beijing Biomedical Engineering

摘　　要：目的血氧饱和度是人体的重要参数,为适应无线监护系统的需要,针对无线血氧测量节点内存小、运算速度慢的特点,本文设计了一套递推型快速处理算法。方法该算法充分利用递推方式和形态滤波算法过程的中间结果,加速滤波算法的处理速度,提取出测量和控制的关键数据,保证了数据的快速处理和测量系统的实时控制。结果通过分析采样数据和模拟处理过程发现,该算法可有效消除基线漂移、抖动等干扰,保证测量的稳定可靠。结论该算法计算量小,抗干扰能力强,适合无线血氧测量节点实时测量的需求。Objective SpO2 is an important parameter for human body. In order to meet the requirement of the wireless monitor system, a real-time recursive rapid processing method is put forward for the SpO~ wireless monitor nodes with small memory and low speed. Methods The algorithm makes full use of stepwise recurrence and the intermediate results of the morphology filtering process to speed up the whole process and extract the vital data for system controlling and measurement. Thus the requirements of real-time process and controlling are guaranteed. Results According to the analysis of sampling data and the simulation of algorithm process, the algorithm can effectively eliminate the noise such as baseline drift and motion artifact to guarantee the stabilization of the process. Conclusions With the characteristics of less calculation and strong anti-interference ability,the method is suitable for real-time measurement of wireless SpO2 monitor nodes.

关 键 词：血氧饱和度 形态滤波器 快速滤波 基线漂移 无线监护 

分 类 号：R318.04[医药卫生—生物医学工程]