摘要
为满足医院对胎儿监护仪数据异常检测的准确性需求,提出基于欧氏距离的医院胎儿监护仪数据异常检测方法。根据医院胎儿监护仪数据异常检测方法,应用超声多普勒检测仪采集胎儿心率信号数据,采用基于自适应滤波的胎儿心率信号去噪方法去除所采集胎儿心率信号噪声成分,将去噪后的胎儿心率信号作为基于欧氏距离法的胎儿心率信号异常识别方法的识别样本,结合欧氏距离法与强分类器,分析去噪后胎儿心率信号与正常胎儿心率信号的虚拟正弦曲线欧氏距离是否大于整定的欧氏距离阈值,将大于阈值的胎儿心率信号样本分类诊断为异常监护数据。该方法通过医院胎儿监护仪采集的胎儿心率信息准确,且异常检测结果有效可信。
In order to meet the accuracy requirements of hospitals for abnormal detection of fetal monitor data,a hospital fetal monitor data anomaly detection method based on Euclidean distance was proposed.In this method,according to the abnormal detection method of fetal monitor data in hospitals,the ultrasound Doppler detector was used to collect fetal heart rate signal data,and the fetal heart rate signal denoising method based on adaptive filtering was used to remove the noise components of the collected fetal heart rate signal.The denoised fetal heart rate signal was used as the identification sample of the abnormal fetal heart rate signal identification method based on Euclidean distance method.The Euclidean distance Euclidean distance between the denoised fetal heart rate signal and the normal fetal heart rate signal was analyzed by combining the Euclidean distance method and the strong classifier to analyze whether the virtual sinusoidal distance between the denoised fetal heart rate signal and the normal fetal heart rate signal was greater than the tuned Euclidean distance threshold.Fetal heart rate signal samples greater than the threshold were classified and diagnosed as abnormal monitoring data.The fetal heart rate information collected by the fetal monitor in the hospital was accurate,and the abnormal detection results were valid and reliable.
作者
刘剑锋
廖阔
严泽钊
黄少东
王秀
郑鹏翔
Liu Jianfeng;Liao Kuo;Yan Zezhao;Huang Shaodong;Wang Xiu;Zheng Pengxiang(Department of Medical Equipment,The Sixth Affiliated Hospital,School of Medicine,South China University of Technology(Nanhai District People's Hospital of Foshan),Foshan 528200,China;Shenzhen Libang Precision Instrument Co.,Ltd,Shenzhen 518118,China;Department of Medical Equipment,Foshan Second People's Hospital,Foshan 528000,China)
出处
《中国医学装备》
2024年第11期163-166,共4页
China Medical Equipment
关键词
欧氏距离
胎儿监护仪
数据异常检测
胎儿心率信号
自适应滤波
超声多普勒
Euclidean distance
Fetal monitor
Data abnomally detection
Fetal heart rate signal
Adaptive filtering
Ultrasound Doppler
