基于小波变换的胎心率去噪研究  

Research on development of FHR denoising based on wavelet transform

作　　者：覃忠 吴晓龙 张慧连 陆东阳[3] 甘广辉 

机构地区：[1]佛山市南海区中医院设备科,广东佛山528000 [2]广东新华南方软件外包有限公司,广东广州510515 [3]南方医科大学生物医学工程学院,广东广州510515

出　　处：《中国医学装备》2015年第11期11-14,共4页China Medical Equipment

基　　金：广东省重大科技专项(2012A080104010)"基于云计算及物联网的母婴云端智能呵护平台"

摘　　要：目的:研究基于小波变换的自适应去噪阈值计算方法,以提高多普勒胎儿监护仪监护的准确性和便捷性。方法:对多普勒回波信号软件去噪和采用五点三次滤波预处理进行分析,提出了一种基于小波变换的胎心率去噪阈值计算方法,并在实际应用中进行修正。结果:小波变换阈值去噪,通过对原始信号和染噪信号进行软硬阈值的处理,采用db1小波进行3层分解,并提取相应系数,进而重构出去噪后的胎心率信号,噪声水平明显下降。结论:基于小波变换的胎心率去噪方法,噪声水平明显下降。后续设计可通过合理选择小波基和变换系数,在单片机或专用的数据处理芯片处理胎心率,使软硬件结合达到更好的去噪效果。Objective： To effectively improve the accuracy and convenience of fetal monitoring based on doppler. Methods： According to analyze the characteristics of doppler echo signal include spatial correlation filtering and de-noising by the software. A computational method of adaptive denoising by soft-thresholding based on wavelet transforms is proposed. Results： And modified in the practical application, the results show that the noise level of the fetal heart rate based on wavelet transform is obviously decreased. Conclusion： The follow-up design can improve by reasonable selecting wavelet Base and transform coefficients; increasing clinical samples, combining development with hardware research, and using microcontroller or special data processing chip to process fetal heart rate for a better de-noising effect.

关 键 词：胎心率去噪 小波变换 自适应 去噪阈值 

分 类 号：R714.5[医药卫生—妇产科学]