摘要
目的:介绍一种基于小波变换和似然无偏估计的胃阻抗信号分析去噪的方法。方法:首先经过多分辨分析将信号进行分离,然后应用Stein似然无偏估计对胃阻抗信号进行自适应软阈值去噪处理。结果:实验结果表明,该方法能够有效滤除由呼吸、血流阻抗等因素造成的干扰。结论:小波分析技术为进一步研究胃动力信号的参数分析提供了新途径。
Objecive To discuss a denoise method of gastric impedance signal based on wavelet transform and Stein Unbiased Risk Estimation rule. Methods Firstly, the signal was decomposed by Multi-resolution Analysis （MRA）. Secondly, the signal was denoised by Stein Unbiased Risk Estimation rule, whose threshold was adaptive, Results The experimentation results demonstrated that breathing and blood flowing impedance interference could be cancelled effectively by using this method. Conclusion Wavelet analysis provides a new method for further study of gastric motility signal parameter extraction.
出处
《医疗卫生装备》
CAS
2008年第5期6-7,26,共3页
Chinese Medical Equipment Journal
基金
国家自然科学研究基金(60471041)
重庆邮电大学科学研究基金(A2004-61
A2005-80
G2005-5)
关键词
小波变换
胃阻抗
多分辨率分析
Stein似然无偏估计
wavelet transform
gastric impedance
multi-resolution analysis
Stein Unbiased Risk Estimation rule
