《厦门大学学报（自然科学版）》

母体腹部电极心电法通过放置在孕妇腹部的电极片无创检测胎儿心电信号.但腹部无创检测采集的是包含胎儿心电、母体心电及噪声的混合信号,且母体心电信号的幅值远大于胎心信号.基于此问题,提出从母体腹部心电信号中检测胎儿R波的高效算法.该算法避免对腹部信号建立复杂的模型,通过最小化误差函数,自适应地滤除母亲心电信号的波形,以获得较清晰的胎儿心电波形.再经过基于聚类的胎儿R波尖峰检测以及精筛选的步骤,获得正确的胎儿R波尖峰.该算法使用PhysioNet Challenge 2013的腹部心电数据集Set-a进行测试.测试结果中,胎儿R波尖峰提取的平均灵敏度为88%,平均阳性检测率为88%.由于不涉及复杂的计算,该算法运行时间短,效率高,处理持续时长为60 s的腹部信号平均用时2.64 s,很适合用于可穿戴设备中心电信号的实时检测.

The fetal electrocardiogram(fECG)plays an important role in the early fetal diseases diagnosis.Electrodes can be placed on abdomen of a pregnant woman to detect abdominal electrocardiogram(aECG),which consists of maternal ECG(mECG),fetal ECG,and noise.The amplitude of maternal ECG is often much higher than that of the fetal ECG,which increases the difficulty of analyzing fECG.We propose an efficient algorithm to detect R peaks in fetal QRS complexes from abdominal ECG signals in high accuracy.This algorithm subtracts mECG trend from abdominal signal adaptively by minimizing a cost function to obtain clear fECG trend,rather than building complicated models of abdominal signals.Then we detect fetal R peaks preliminarily base on clustering.Finally,a fine-selection algorithm will be executed to correct previous result and obtain precise fetal R peaks.We tested the algorithm on abdominal signal dataset Set-a of PhysioNet Challenge 2013.The average testing sensitivity is 88% and the average precision is 88%.Without involving complicated computation,the algorithm works with high efficiency and it is suitable for on-line ECG analysis in portable ECG detecting devices.The average executing time for 60-second abdominal signals is 2.64 seconds.

引言
1 算法
2 实验分析与验证
3 结论

图2 对实测腹部信号(持续时长60 s,图中显示4 s的片段)进行滤除母亲心电波形处理得到的结果<br/>Fig.2 Maternal electrocardiogram cancellation of a real abdominal signal whose duration is 60 second(4 second segment has been shown in the figure)

图2 对实测腹部信号(持续时长60 s,图中显示4 s的片段)进行滤除母亲心电波形处理得到的结果
Fig.2 Maternal electrocardiogram cancellation of a real abdominal signal whose duration is 60 second(4 second segment has been shown in the figure)

图1 算法流程图<br/>Fig.1 Flow chart of the proposed algorithm

图1 算法流程图
Fig.1 Flow chart of the proposed algorithm

图4 胎儿R波尖峰精筛选算法<br/>Fig.4 Fetal R peak correction algorithm

图4 胎儿R波尖峰精筛选算法
Fig.4 Fetal R peak correction algorithm

图3 胎儿R波尖峰初提取算法的流程图<br/>Fig.3 Flow chart of the preliminary fetal R peak extraction algorithm

图3 胎儿R波尖峰初提取算法的流程图
Fig.3 Flow chart of the preliminary fetal R peak extraction algorithm

表1 测试结果
Tab.1 Testing result

图5 灵敏度(S)和阳性检测率(P)测试结果的盒图<br/>Fig.5 Box plots of the sensitivity and precision of the testing result

图5 灵敏度(S)和阳性检测率(P)测试结果的盒图
Fig.5 Box plots of the sensitivity and precision of the testing result

图6 记录a17,a18腹部信号波形(黑点为胎儿R波尖峰位置)<br/>Fig.6 Abdominal signal of record a17 and a18(the black dots indicate the fetal R peak)

图6 记录a17,a18腹部信号波形(黑点为胎儿R波尖峰位置)
Fig.6 Abdominal signal of record a17 and a18(the black dots indicate the fetal R peak)

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备注

引言

1 算法

2 实验分析与验证

3 结论

学报简介

备注

引言

1 算 法

2 实验分析与验证

3 结 论

学报简介

1 算法

3 结论