检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:韩亮[1,2] 蔡文涛 蒲秀娟[1,2] 龙灵[1] Han Liang;Cai Wentao;Pu Xiujuan;Long Ling(School of Microelectronics and Communication Engineering,Chongqing University Chongqing 400044,China;Chongqing Key Laboratory of Bio-perception&Intelligent Information Processing,Chongqing 400044,China)
机构地区:[1]重庆大学微电子与通信工程学院,重庆400044 [2]生物感知与智能信息处理重庆市重点实验室,重庆400044
出 处:《仪器仪表学报》2021年第7期116-125,共10页Chinese Journal of Scientific Instrument
基 金:重庆市自然科学基金(cstc2016jcyjA0376)项目资助。
摘 要:针对腹部源信号,本文提出一种结合快速独立分量分析(FastICA)与扩展卡尔曼滤波(EKF)的胎儿心电信号提取方法。首先抑制原始母体腹壁混合信号中的基线漂移、工频干扰和脉冲伪迹。然后使用FastICA从母体腹壁混合信号中分离得到母体心电信号估计以及含有残留母体心电成分和其他噪声的胎儿心电信号估计。使用EKF对胎儿心电信号估计进行滤波得到残留的母体心电成分估计,将其抑制后获得含噪声的胎儿心电信号。最后再次使用EKF提取得到清晰的胎儿心电信号。采用临床数据进行实验,本文提出的胎儿心电信号提取方法的灵敏度、阳性预测值和F_(1)分数分别为99.27%,94.35%,96.71%,其基于互相关系数和基于特征值分析的信噪比分别为6.1454 dB和6.5096 dB。实验结果表明本文提出的方法在主观视觉效果和客观评价指标上均优于传统的胎儿心电信号提取方法。Aiming at the abdominal electrode-sourced(AES)signals,a fetal electrocardiogram(FECG)signal extraction method utilizing extended Kalman filter(EKF)combined with FastICA is proposed.Firstly,the raw maternal abdominal mixed signals are preprocessed to suppress baseline drift,power frequency interference and pulse artifacts.Then,FastICA is used to separate the maternal electrocardiogram(MECG)signal estimation and FECG signal estimation containing residual MECG component and other noise from maternal abdominal mixed signals.The EKF is used to filter the FECG signal estimation to obtain the residual MECG component estimation,which is suppressed to obtain the noisy FECG signal estimation.At last,the clear FECG signal is extracted using EKF again.The clinical data were adopted to verify the proposed FECG extraction method.The sensitivity,positive predictive value and F_(1) score of the proposed FECG extraction method are 99.27%,94.35%,96.71%,respectively,and the signal-to-noise ratios based on cross correlation and singular value decomposition are 6.1454 dB and 6.5096 dB,respectively.The experiment results show that the proposed method is better than traditional FECG signal extraction methods both on subjective visual effect and objective assessment index.
分 类 号:TN911.72[电子电信—通信与信息系统] TH701[电子电信—信息与通信工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222