[1]苏志刚,吕江波,郝敬堂. 基于平滑先验法去除脉搏波基线漂移[J].中国医学物理学杂志,2018,35(10):1197-1202.[doi:DOI:10.3969/j.issn.1005-202X.2018.10.017]
　SU Zhigang,LÜ,Jiangbo,et al. Removal of baseline drift of pulse wave based on smoothness prior[J].Chinese Journal of Medical Physics,2018,35(10):1197-1202.[doi:DOI:10.3969/j.issn.1005-202X.2018.10.017]
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 基于平滑先验法去除脉搏波基线漂移()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
35卷
期数:
2018年第10期
页码:
1197-1202
栏目:
医学信号处理与医学仪器
出版日期:
2018-10-25

文章信息/Info

Title:
 Removal of baseline drift of pulse wave based on smoothness prior
文章编号:
1005-202X（2018）10-1197-06
作者:
 苏志刚1; 2; 吕江波1; 郝敬堂2
 1.中国民航大学天津市智能信号与图像处理重点实验室， 天津 300300； 2.中国民航大学中欧航空工程师学院， 天津 300300
Author(s):
SU Zhigang1; 2;  LÜ Jiangbo1;  HAO Jingtang2
 1. Tianjin Key Lab for Advanced Signal and Image Processing, Civil Aviation University of China, Tianjin 300300, China; 2. Sino-European Institute of Aviation Engineering, Civil Aviation University of China, Tianjin 300300, China
关键词:
 ; 脉搏波; 基线漂移; 平滑先验法; 正则化参数; 信噪比
Keywords:
 ; Keywords: pulse wave;  baseline draft;  smoothness prior;  regularization parameter;  signal-to-noise ratio
分类号:
R318.04
DOI:
DOI:10.3969/j.issn.1005-202X.2018.10.017
文献标志码:
A
摘要:
 脉搏波信号中含有丰富的人体生理病理信息，然而基于光电容积描记法采集到的脉搏波基线漂移非常严重，直接影响到人体生理参数的准确提取。针对目前生物信号处理领域中去除基线漂移所用的方法计算复杂，处理信号时间过长，无法满足对脉搏波进行实时处理等问题，首次提出基于正则化最小二乘法的平滑先验法去除脉搏波的基线漂移。该方法通过分析不同正则化参数下平滑先验法的截止频率，结合脉搏波信号中基线漂移信号的频率范围，选取合适的正则化参数，实现脉搏波基线漂移的去除。实验结果表明，与小波变换法、经验模态分解法相比，该方法去除脉搏波基线漂移效果明显，提高了计算速度，同时也提高了信噪比，有利于下一步对脉搏波特征点的精确提取。
Abstract:
 Abstract: The pulse wave signal is rich in physiological and pathological information of human body. However, the problem of the baseline drift of pulse wave collected by photoplethysmography is very serious and directly affects the accurate extraction of human physiological parameters. In the field of biological signal processing, the method of removing the baseline drift is complicated and the time for signal processing is too long, which can’t meet the need of real-time processing of the pulse wave. Herein the smoothness prior based on regularized least squares method is firstly proposed to remove the baseline drift of pulse wave. In this method, the cutoff frequency of the smoothness prior under different regularization parameters is analyzed, and the frequency range of the baseline drift signals in the pulse wave signals is also considered to select the appropriate regularization parameters to remove the baseline drift of the pulse wave. Experimental results show that compared with wavelet transform and empirical mode decomposition, the proposed method can effectively remove the baseline drift of the pulse wave, increase the calculation speed and improve the signal-to-noise ratio, which benefits the accurate extraction of the feature points of the pulse wave.

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备注/Memo

备注/Memo:
 【收稿时间】2018-05-03
【基金项目】广东省科技计划项目（2013B0906000）；中央高校基本科研业务费专项基金（3122017111）
【作者简介】苏志刚，工学博士，教授，主要研究方向：阵列信号处理、信息融合及空管新技术，E-mail: ssrsu@vip.sina.com
更新日期/Last Update: 2018-10-23