摘要
在容积脉搏波信号采集过程中,会受到多种噪声干扰,传统的去噪处理效果并不理想。经过理论分析各种小波基特点得出适合处理容积脉搏波的最佳小波基,通过使用传感器采集的信号进行验证,采用分层阈值去噪的方法,提出对比去噪后信号的二阶微分信号作为去噪性能评定指标,最后得出coif5小波基在抑制噪声的同时还能保留容积脉搏波信号的特征便于进行后期研究。
In the process of plethysmogphic pulse wave signal acquisition , it will be affected by a variety of noise interference, the traditional de-noising processing effect is not ideal. In this paper, through analysis of wavelet base features to find the best suitable wavelet base for plethysmogphic pulse wave de-nosing. Validated by using a sensor to collect signal, using the hierarchical threshold de-noising method, and put forward contrast de-noising signal's second-order differential wave as a denoising performance index, the finally concluded is that coif5 wavelet base in suppressing noise at the same time also can reserve plethysmogphic pulse wave signal feature for further study.
出处
《科技通报》
北大核心
2016年第1期141-144,共4页
Bulletin of Science and Technology
基金
国家科技重大专项煤层气田地面集输信息集成及深度开发技术(2011ZX05039-004-02)
北京信息科技大学研究生科技创新项目(5121424102)
关键词
容积脉搏波
PPG
小波变换
阈值函数
去噪
plethysmogphic pulse wave
PPG
wavelet transform
threshold function
de-noising
