无创胎儿心电图信号采集方法
Non-Invasive Fetal ECG Signal Extraction
DOI: 10.12677/ACM.2019.94078, PDF,  被引量    科研立项经费支持
作者: 曹 雪, 刘俊艳, 曲文博, 孙丽秀, 刘炳辰：哈尔滨医科大学附属第四医院心内科，黑龙江 哈尔滨
关键词: 无创；胎儿心电图；信号采集；胎儿监测；数字信号处理；Non-Invasive； Fetal Electrocardiogram； Signal Extraction； Fetal Monitoring； Digital Signal Processing
摘要: 胎儿心电图是目前最具前景的胎儿监测方法之一。然而，临床中将之作为胎儿心律失常等疾病诊断的金标准之前，必须要解决高质量心电信号采集问题。在过去的20年里，大量的研究者致力于如何从母体的腹部记录到高质量的胎儿心电信号。本文旨在阐述目前不同的非自适应信号处理方法在提取和增强胎儿心电图信号中的不同作用。每一种非适应性分析方法只擅于一种信号的获取，其中独立分量分析、主成分分析以及小波变换是目前研究信号处理最热门的话题，且具有较好的计算精度和速度。
Abstract: Fetal electrocardiography is the most promising methods of modern electronic fetal monitoring. However, before they can be fully deployed in the clinical practice as a gold standard, the challenges associated with the signal quality must be solved. During the last two decades, a great amount of articles dealing with improving the quality of the fetal electrocardiogram signal acquired from the abdominal recordings have been introduced. This article aims to present an extensive literature survey of different non-adaptive signal processing methods applied for fetal electrocardiogram extraction and enhancement. It is limiting that a different non-adaptive method works well for each type of signal, but independent component analysis, principal component analysis and wavelet transforms are the most commonly published methods of signal processing and have good accuracy and speed of algorithms.
文章引用：曹雪, 刘俊艳, 曲文博, 孙丽秀, 刘炳辰. 无创胎儿心电图信号采集方法[J]. 临床医学进展, 2019, 9(4): 507-518. https://doi.org/10.12677/ACM.2019.94078

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