北京生物医学工程

一种基于自相关和平均模差算法的胎儿心率提取方法

A developed FHR detection algorithm based on autocorrelation and CMDF method

作者：王群张志强刘志文

单位：                      北京理工大学信息与电子学院（北京100081）        

关键词：胎心率；多普勒超声；自相关；累计平均标准模差

分类号：

出版年·卷·期（页码）：2014·33·6（598-602）

摘要：

目的胎儿心率是判断孕期胎儿健康状况的一项重要指标，使用超声多普勒测量胎心率是常用的无创方法。其中，自相关算法是常用的测量胎心率的算法，但是其抗噪性差，容易出错。方法本文提出一种基于自相关与平均标准模差相结合的新算法，先通过自相关函数突显其周期性，然后用累计平均标准模差函数提取准确周期，最后通过使用该算法处理模拟器数据和临床数据，验证其精确度和抗噪性。结果相比滑动窗算法，基于自相关和平均标准模差的算法具有更高的精确度和抗噪性。结论改进后的算法可以有效计算出胎心率值。

Objective Doppler ultrasound monitors are commonly used to measure fetal heart rate (FHR) in routine screenings. One common method to acquire FHR is autocorrelation algorithm, yet it is more prone to noise and thus cannot get the accurate FHR sometimes. Methods We proposed a developed algorithm based on autocorrelation and cumulative mean normalized difference function (CMDF), along with a noise tolerant improvement using a mixture of synthetic and real fetal heart data in order to quantify its accuracy and robustness in the presence of the signal from an ultrasound probe. Results Our proposed approach achieved higher accuracy and robustness compared to the sliding window approach. Conclusions This developed algorithm can calculate accurate fetal heart rate effectively.

参考文献：

［1］朱彩红.胎心率基线变异减弱或消失与产妇分娩方式及新生儿结局的临床研究［J］. 中国医药导报, 2014, 11( 18):74-77. Zhu Caihong. Clinical research of Baseline fetal heart rate variability decreased or dis-appeared for delivery and pregnancy outcomes［J］. China Medical Herald, 2014, 11( 18):74-77. ［2］孙轶文.妊娠期内胎心监护胎动与胎儿宫内窘迫［J］.中国当代医药, 2012,19(7):182,184. ［3］Ungureanu M, Bergmans WM, Mischi M, et al. Improved method for fetal heart rate monitoring［C］. Shanghai, China: IEEE Int’l Conference On Engineering in Medicine and Biology 27th Annual Conference, 2005: 5916-5919. ［4］Wong-Lam HW, Naley M. A robust and accurate algorithm for time measurements of periodic signals based on correlation techniques［J］. IEEE Trans Instrumentation and Measurement, 2001, 50(5): 1181-1189. ［5］Peters C, Nroeke E, Andriessen P, et al. Beat-to-beat detection of fetal heart rate: Doppler ultrasound cardiotocography compared to direct ECG cardiotocography in time and frequency domain［J］. Journal of Physiological Measurement, 2004,25: 585-593. ［6］Chang Su Lee, Martin Masek, Chiou Peng Lam. Towards higher accuracy and better noise-tolerance for fetal heart rate monitoring using Doppler ultrasound［C］. TENCON 2009-2009 IEEE Region 10 Conference, Singapore: 2009: 1-6. ［7］Roj D, Fuchs T, Przybyla T,et al The influence of window size of autocorrelation function on fetal heart rate variability measurement using the Doppler ultrasound signal［J］. Journal of Medical Informatics and Technologies, 2008, 12: 111-116. ［8］de Cheveigne A, Kawahara H. YIN, a fundamental frequency estimator for speech and music［J］. Journal of the Acoustical Society of America, 2002, 111(4): 1917-1930. ［9］Ibrahimy MI, Ahmed F, Ali MAM, et al. Real-time signal processing for fetal heart rate monitoring［J］. IEEE Trans Biomedical Engineering, 2003,50(2): 258-262. ［10］Jezewski J, Wrobel J, Horoba K. Comparison of Doppler ultra-sound and direct electrocardiography acquisition techniques for quanti-fication of fetal heart variability［J］. IEEE Trans Biomed Eng, 2006,53(5): 855-864. ［11］Voicu I, Kouame D, Fournier-Massignan M, et al. Estimating fetal heart rate from multiple ultrasound signals［J］. Proc of the Int Conf on Advancements of Medicine and Health Care through Technology, 2009 26: 185-190.

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