A novel technique for fetal heart rate estimation from Doppler ultrasound signal

Author:

Jezewski Janusz,Roj Dawid,Wrobel Janusz,Horoba Krzysztof

Abstract

Abstract Background The currently used fetal monitoring instrumentation that is based on Doppler ultrasound technique provides the fetal heart rate (FHR) signal with limited accuracy. It is particularly noticeable as significant decrease of clinically important feature - the variability of FHR signal. The aim of our work was to develop a novel efficient technique for processing of the ultrasound signal, which could estimate the cardiac cycle duration with accuracy comparable to a direct electrocardiography. Methods We have proposed a new technique which provides the true beat-to-beat values of the FHR signal through multiple measurement of a given cardiac cycle in the ultrasound signal. The method consists in three steps: the dynamic adjustment of autocorrelation window, the adaptive autocorrelation peak detection and determination of beat-to-beat intervals. The estimated fetal heart rate values and calculated indices describing variability of FHR, were compared to the reference data obtained from the direct fetal electrocardiogram, as well as to another method for FHR estimation. Results The results revealed that our method increases the accuracy in comparison to currently used fetal monitoring instrumentation, and thus enables to calculate reliable parameters describing the variability of FHR. Relating these results to the other method for FHR estimation we showed that in our approach a much lower number of measured cardiac cycles was rejected as being invalid. Conclusions The proposed method for fetal heart rate determination on a beat-to-beat basis offers a high accuracy of the heart interval measurement enabling reliable quantitative assessment of the FHR variability, at the same time reducing the number of invalid cardiac cycle measurements.

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,Biomedical Engineering,General Medicine,Biomaterials,Radiological and Ultrasound Technology

Reference24 articles.

1. Jezewski J, Wrobel J, Horoba K, Cholewa D, Gacek A, Kupka T, Matonia A: Monitoring of mechanical and electrical activity of fetal heart: The nature of signals. Arch Perinat Med 2002, 8: 40–46.

2. Peters M, Crowe J, Pieri JF, Quartero H, Hayes-Gill B, James D, Stinstra J, Shakespeare S: Monitoring the fetal heart non-invasively: a review of methods. J Perinat Med 2001, 29: 408–416. 10.1515/JPM.2001.057

3. Shakespeare SA, Crowe JA, Hayes-Gill BR, Bhogal K, James DK: The information content of Doppler ultrasound signals from the fetal heart. Med Biol Eng Comput 2001, 39: 619–626. 10.1007/BF02345432

4. Matonia A, Jezewski J, Kupka T, Wrobel J, Horoba K, Widera M: Instrumentation for fetal cardiac performance analysis during the antepartum period. Conf Proc IEEE Eng Med Biol Soc 2005, 27: 6675–6678.

5. Hasan MA, Reaz MBI, Ibrahimy MI, Hussain MS, Uddin J: Detection and Processing Techniques of FECG Signal for Fetal Monitoring. Biol Proced Online 2009, 11: 263–295. 10.1007/s12575-009-9006-z

Cited by 55 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3