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首页> 外文期刊>Biomedical Engineering, IEEE Transactions on >Detection of Fetal Heart Rate Through 3-D Phase Space Analysis From Multivariate Abdominal Recordings
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Detection of Fetal Heart Rate Through 3-D Phase Space Analysis From Multivariate Abdominal Recordings

机译：通过多元腹部记录通过3-D相空间分析检测胎儿心率

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摘要

A novel three-stage methodology for the detection of fetal heart rate (fHR) from multivariate abdominal ECG recordings is introduced. In the first stage, the maternal R-peaks and fiducial points (maternal QRS onset and offset) are detected, using band-pass filtering and phase space analysis. The maternal fiducial points are used to eliminate the maternal QRS complexes from the abdominal ECG recordings. In the second stage, two denoising procedures are applied to enhance the fetal QRS complexes. The phase space characteristics are employed to identify fetal heart beats not overlapping with the maternal QRSs, which are eliminated in the first stage. The extraction of the fHR is accomplished in the third stage, using a histogram-based technique in order to identify the location of the fetal heart beats that overlap with the maternal QRSs. The methodology is evaluated on simulated multichannel ECG signals, generated by a recently proposed model with various SNRs, and on real signals, recorded from pregnant women in various weeks during gestation. In both cases, the obtained results indicate high performance; in the simulated ECGs, the accuracy ranges from 72.78% to 98.61%, depending on the employed SNR, while in the real recordings, the average accuracy is 95.45%. The proposed methodology is advantageous since it copes with the existence of noise from various sources while it is applicable in multichannel abdominal recordings.
机译：介绍了一种用于从多元腹部ECG记录中检测胎儿心率（fHR）的新颖的三阶段方法。在第一阶段，使用带通滤波和相空间分析来检测孕妇的R峰和基准点（孕妇的QRS发作和偏移）。产妇基准点可用于从腹部ECG记录中消除产妇QRS复合体。在第二阶段，采用两种去噪程序来增强胎儿QRS复合波。相空间特征用于识别与母亲QRS不重叠的胎儿心跳，该信号在第一阶段已消除。使用基于直方图的技术在第三阶段完成fHR的提取，以识别与母亲QRS重叠的胎儿心跳的位置。该方法是在模拟的多通道ECG信号上评估的，该信号是由最近提出的具有各种SNR的模型生成的，并且是在妊娠期间各个星期从孕妇那里记录的真实信号上进行评估的。在这两种情况下，所获得的结果均表明其具有高性能。在模拟的ECG中，准确度的范围为72.78％至98.61％，具体取决于所采用的SNR，而在实际录音中，平均准确度为95.45％。所提出的方法是有利的，因为它可应对来自各种来源的噪声的存在，同时可应用于多通道腹部记录。

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