智慧医疗中光电容积脉搏波信号的去噪声处理  

Denoising for Photo Plethysmo Graphy in Smart Medical Application

作　　者：侯雅婷 吴永崎 曲晓飞 朱芝瑶 耿燕 HOU Yating;WU Yongqi;QU Xiaofei;ZHU Zhiyao;GENG Yan(School of Science,Xi'an Polytechnic,Xi'an 710048,China)

机构地区：[1]西安工程大学理学院,陕西西安710048

出　　处：《智能物联技术》2024年第4期52-55,共4页Technology of Io T& AI

基　　金：西安工程大学大学生创新创业训练计划项目(S202310709148);西安市科技计划项目(22GXFW0037)。

摘　　要：光电容积脉搏波(Photo Plethysmo Graphy,PPG)是幅值为毫伏级的非侵入性生理监测信号,在人体心率监测、血氧饱和度测量等领域广泛应用,但其在采集过程中会受到各种噪声影响,故PPG信号的降噪处理是高精确提取生理信息的关键。市面上的可穿戴式装备要求滤波过程简单、运行速度快,因此采用平滑滤波算法中的五点三次平滑算法,并与传统的无限脉冲响应(Infinite Impulse Response,IIR)数字滤波器算法进行比较,最终实现降噪处理的优化。The Photo Plethysmo Graphy(PPG)is a non-invasive physiological monitoring signal with the amplitude of millivolts,which is widely used in the fields of human heart rate monitoring and blood oxygen saturation measurement,but it will be affected by various noises in the acquisition process,so the noise reduction of PPG signal is the key to accurately extract physiological information.Wearable equipment in the market requires simple filtering process and fast running speed,so the five-point cubic smoothing algorithm in smoothing filtering algorithm is adopted and compared with the traditional Infinite Impulse Response(IIR)digital filter algorithm,and finally the noise reduction processing is optimized.

关 键 词：滤波 信号处理 光电容积脉搏波(PPG) 平滑滤波算法 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]