王杰华,夏海燕,孙万捷,陈虹云

• 1:南通大学计算机科学与技术学院

摘要(Abstract)：

光电容积脉搏波采集过程中存在基线漂移和高频噪声会给后续人体生理参数的测量带来困难,因此消除噪声干扰是准确进行相关生理参数测量的关键问题。提出一种结合经验模态分解和奇异值分解的去噪方法。该方法采用经验模态分解将光电容积脉搏波信号分解为若干个固有模态函数,通过功率谱密度判断代表基线漂移信息的固有模态函数获得基线漂移曲线;使用奇异值分解处理光电容积脉搏波信号中的高频噪声,针对传统的差分谱法无法准确识别奇异值有效阶次的不足,提出加权能量贡献率的方法选取奇异值的有效阶次。实验结果表明,该方法能有效消除光电容积脉搏波信号中的基线漂移和高频噪声,这对光电容积脉搏波信号检测精度的提高具有重要意义。

关键词(KeyWords)： 光电容积脉搏波;基线漂移;高频噪声;经验模态分解;奇异值分解;加权能量贡献率

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金面上项目(61170171);; 江苏省“六大人才高峰”项目(2010-WLW-006);; 江苏省高校科研成果产业化推进项目(JHB2011-45);; 江苏高校优势学科建设工程资助项目~~

作者(Author): 王杰华,夏海燕,孙万捷,陈虹云

DOI: 10.16652/j.issn.1004-373x.2018.04.017

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