基于多加速度传感器的胎动信号检测方法  

Fetal movement signal detection method based on multi-acceleration sensor

作　　者：赵吕晨 吴薇[2] 曾宪奕 王高峰[2] 

机构地区：[1]江南大学物联网工程学院,江苏无锡214122 [2]杭州电子科技大学电子信息学院,浙江杭州310018 [3]法国国立纺织工艺学院,法国鲁贝59100

出　　处：《传感器与微系统》2016年第12期20-23,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金国际(地区)合作与交流资助项目(61411136003)

摘　　要：针对检测胎儿重要生理指标胎动信号的问题,提出了一种基于多加速度传感器的利用多种特征检测胎动的方法。采用带通滤波器和小波去噪对信号进行预处理;利用平滑Wigner-Ville分布(WVD)分析提取胎动信号的时域和时频域分布特征,引入了胎动信号分布在时频域的区域数量特征,采用基于Gabor字典和MP的方法提取该特征。根据所提取的特征,建立胎动信号的数学模型,实现了相应分类器。仿真结果显示:该算法具有较高的识别率和可靠性。A fetal movement detection method with multi-features based on multi-acceleration sensor is proposed aiming at monitoring the fetal health indicators. A FIR band-pass filter and wavelet denoising are used to preprocess the signal; smoothed Wigner-Ville distribution（ WVD） is used to analyze and extract features of time domain on fetal movements as well as the distribution in the time-frequency（ TF） domain. The number of the areas in the TF domain is imported as the most important recognition feature,extracted by Gabor dictionary and Matching pursuit（ MP）. A model predicting fetal movements is built up with these features. The simulation results show that the algorithm has high recognition rate and reliability.

关 键 词：胎动检测 加速度传感器 平滑Wigner-Ville分布 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]