摘要
智能终端的普及为医疗领域开辟了新的天地,本文将智能终端与血氧饱和度的检测相结合提出一种基于智能终端的信号处理算法。该算法针对目前血氧饱和度检测中接收的脉搏波信号存在突变点、基线漂移、高频干扰等问题,对脉搏波信号的滤波算法进行了研究。主要包含以下三个方面:1)设计五点查找以均值代替法能准确剔除信号中的变异点。2)形态学方法和平滑滤波算法实现脉搏波信号(PPG信号)的基线矫正和高频滤波干扰去除。3)仿真验证算法的可行性,为智能终端上处理脉搏波信号提供重要的理论依据。实验表明本文提出的基于智能终端的信号处理算法有效处理了信号中存在的干扰,提取出了可用的脉搏波信号。
The popularity of intelligent terminal has opened up a new earth to medical field, combining intelligent terminal with detection of blood oxygen saturation ,in this paper proposes a signal processing algorithm based on intelligent terminal, in the detection of oxygen saturation, there are a lot of problems like signal mutation, baseline drift, high-frequency interference and so on. This article takes an important research for the pulse wave signal filtering algorithms, Paper mainly includes the following aspects： 1） design a five-point finding to mean instead method can accurately eliminate signal variation points. 2） using morphological and smoothing method to complete baseline correction and remove high frequency interference in PPG signal. 3） Simulation verify the feasibility of the algorithm ,it provides important theoretical basis for the intelligent terminal processing pulse wave signal. Experimental results show that the signal processing algorithm based on intelligent terminals proposes to deal effectively with the presence of interfering signals, to extract the available pulse wave signal.
出处
《生命科学仪器》
2015年第1期26-30,共5页
Life Science Instruments
基金
国家自然科学基金(61471075)~~
关键词
PPG信号
形态滤波
平滑滤波
智能终端
PPG signal
Morphological filtering
Smoothing
Intelligent terminals
