北京生物医学工程

基于移动智能终端的单通道胎儿心电监护系统

Design of single channel fetal ECG monitoring system based on mobile intelligent terminal

作者：朝晖安蒙蒙陈立锋周斌郑政

单位：上海理工大学生物医学工程研究所（上海 200093） 东南大学生物科学与医学工程学院（南京 210096） 通信作者：卜朝晖，副教授。E-mail: buzh@usst.edu.cn

分类号：R318.6

出版年·卷·期（页码）：2021·40·4（377-384）

摘要：

目的设计基于移动智能终端的单通道胎儿心电监护系统，以实现扩展卡尔曼滤波(extended Kalman filtering，EKF)和奇异值分解（singular value decomposition，SVD）相结合的单通道胎儿心电提取算法，实时获取高信噪比的胎儿心电信号，完成胎心监护的远程移动医疗。方法利用STM32单片机控制24位采样芯片ADS1298，对单通道的孕妇腹部信号进行采集，并将采集后的数据经蓝牙传送给移动智能终端，在基于Android的移动智能终端上实现EKF和SVD相结合的单通道胎儿心电提取算法，完成对胎儿心电的实时提取、显示、存储与分析，计算心律变异率，实现对整个监护系统进行控制等功能。结果测试结果表明：该系统可从单通道孕妇腹部信号中准确提取出胎儿心电信号，准确度为95.60%，阳性预测率为98.71%，系统工作稳定，连续处理5个胎心周期的数据所花时间约为70 μs，小于一个母体心动周期（约0.8 s）的时间，适于临床对胎儿心电的实时监护。结论该系统实时性强、准确率高、工作稳定、操作简单、便于携带，实现了对胎心监护的可穿戴式远程移动医疗，适合社区医院和家庭使用。

Objective A single channel fetal ECG monitoring system based on mobile intelligent terminal is designed, and a single channel fetal ECG extraction algorithm combining extended Kalman filter (EKF) and singular value decomposition (SVD) is realized. The fetal ECG signal with high signal-to-noise ratio is obtained in real time, and the remote mobile medical treatment of fetal heart monitoring is realized. Methods Using STM32 single chip microcomputer to control 24 bit sampling chip ads1298, the single channel pregnant women's abdominal signal is collected, and the collected data is transmitted to the mobile intelligent terminal via Bluetooth. On the Android-based based mobile intelligent terminal, a single channel fetal ECG extraction algorithm based on the combination of EKF and SVD is realized, and the functions of real-time extraction, display, storage and analysis of fetal ECG, calculation of heart rate variability and control of the whole monitoring system are completed. Results The test results show that the system can accurately extract fetal ECG signals from single-channel pregnant women's abdominal signals, with an accuracy of 95.60% and a positive prediction rate of 98.71%. The system works stably, and it takes about 70μs to continuously process the data of 5 fetal cardiac cycles, which is less than the time of one maternal cardiac cycle (about 0.8s), which is suitable for clinical real-time monitoring of fetal ECG. Conclusions The system has strong real-time performance, high accuracy, stable work, simple operation and portability. It realizes wearable remote mobile medical care for fetal heart monitoring, and is suitable for community hospitals and families.

参考文献：

[1]??? Kanjilal PP，Palit S，Saha G. Fetal ECG extraction from single-channel maternal ECG using singular value decomposition[J]. IEEE Transactions on Biomedical Engineering，1997，44(1):51-59.

[2]??? Alfirevic Z, Devane D, Gyte GM. Continuous cardiotocography (CTG) as a form of electronic fetal monitoring (EFM) for fetal assessment during labour[J]. Cochrane Database of Systematic Reviews, 2006, 5(3): CD006066.

[3]??? Belfort MA，Saade GR，Thom E，et al. A randomized trial of intrapartum fetal ECG ST-segment analysis[J]. The New England Journal of Medicine，2015，373(7): 632-641.

[4]??? Amer-W?hlin I，Hellsten C，Norén H，et al. Cardiotocography only versus cardiotocography plus ST analysis of fetal electrocardiogram for intrapartum fetal monitoring: a Swedish randomised controlled trial[J]. Lancet，2001，358(9281):534-538.

[5]??? Ferrara ER，Widrow B. Fetal electrocardiogram enhancement by time-sequenced adaptive filtering[J]. IEEE Transactions on Biomedical Engineering，1982，29(6):458-460.

[6]??? Khamene A，Negahdaripour S. A new method for the extraction of fetal ECG from the composite abdominal signal[J]. IEEE Transactions on Biomedical Engineering，2000，47(4):507-516.

[7]??? Zarzoso V，Nandi AK，Bacharakis E. Maternal and foetal ECG separation using blind source separation methods[J]. Mathematical Medicine and Biology: A Journal of the IMA，1997，14(3):207-225.

[8]??? Camps-Valls G, Mart??nez-Sober M，Soria-Olivas E, et al. Foetal ECG recovery using dynamic neural networks[J]. Artificial Intelligence in Medicine, 2004, 31(3):197-209.

[9]??? 卜朝晖，周斌，尹晓晶，等. 基于扩展卡尔曼滤波和奇异值分解算法的单通道胎儿心电提取方法[J]. 中国生物医学工程学报，2019，38(6): 662-671.

Bu ZH，Zhou B，Yin XJ，et al. Fetal ECG Extraction from single-channel abdominal ECG based on EKF combined with SVD[J]. Chinese Journal of Biomedical Engineering，2019, 38(6):662-671.

[10]? McSharry，Clifford GD，Tarassenko L，et al. A dynamical model for generating synthetic electrocardiogram signals[J]. IEEE Transactions on Biomedical Engineering, 2003, 50(3): 289-294.

[11]? Sameni R，Shamsollahi MB，Jutten C，et al. A nonlinear Bayesian filtering framework for ECG denoising[J]. IEEE Transactions on Biomedical Engineering, 2007, 54(12): 2172-2185.

[12]? Niknazar M，Rivet B，Jutten C. Fetal ECG extraction by extended state Kalman filtering based on single-channel recordings[J]. IEEE Transactions on Biomedical Engineering，2012，60(5): 1345-1352.

[13]? 卜朝晖，尹晓晶，周斌，等. 基于扩展卡尔曼滤波的单通道胎儿心电监护系统[J]. 电子测量技术，2020，43(5):11-17.

Bu ZH，Yin XJ，Zhou B，et al. Design of single channel fetal ECG monitoring system based on extended Kalman filter[J]. Electronic Measurement Technology，2020，43(5): 11-17.

[14]? Demené C，Deffieux T，Pernot M，et al，Spatiotemporal clutter filtering of ultrafast ultrasound data highly increases Doppler and fUltrasound sensitivity[J]. IEEE Transactions on Medical Imaging，2015，34(11): 2271-2285.

[15]? Zheng C，Peng R，Li J，et al. A constrained MMSE LP residual estimator for speech dereverberation in noisy environments[J]. IEEE Signal Processing Letters，2014，21(12): 1462-1466.

[16]? 孙鑫晖，张令弥，王彤. 基于奇异值分解的频响函数降噪方法[J]. 振动、测试与诊断，2009，29(3): 325-328.

[17]? 谢敏，周凯，黄永禄，等. 一种基于短时奇异值分解的局部放电白噪声抑制方法[J]. 中国电机工程学报，2019，39(3): 915-922, S28.

Xie M, Zhou K, Huang YL, et al. A white noise suppression method for partial discharge based on

short time singular value decomposition[J]. Proceedings of the Chinese Society of Electrical Engineering，2019，39(3): 915-922, S28.

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