计算机科学
人工智能
信号(编程语言)
信号处理
多普勒超声
噪音(视频)
模式识别(心理学)
语音识别
医学
电信
内科学
雷达
图像(数学)
程序设计语言
作者
Joachim A. Behar,Fernando Andreotti,Sebastian Zaunseder,Julien Oster,Gari D. Clifford
标识
DOI:10.1088/0967-3334/37/5/r1
摘要
Non-Invasive foetal electrocardiography (NI-FECG) represents an alternative foetal monitoring technique to traditional Doppler ultrasound approaches, that is non-invasive and has the potential to provide additional clinical information. However, despite the significant advances in the field of adult ECG signal processing over the past decades, the analysis of NI-FECG remains challenging and largely unexplored. This is mainly due to the relatively low signal-to-noise ratio of the FECG compared to the maternal ECG, which overlaps in both time and frequency.
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