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Study and Implementation of a Signal Processing Algorithm for Doppler Ultrasound Fetal Heart Signals

机译：多普勒超声胎心信号信号处理算法的研究与实现

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摘要

The Doppler ultrasound fetal heart signals are weak and complex, while the background noise is strong. It results in many problems for household integrated Doppler fetal heart monitors, such as low sensitivity, small measuring area, low accuracy of fetal heart rates, and self-excited howling. A fetal heart signal processing algorithm is proposed in this paper, which includes the adaptive denoising method based on spectral subtraction and the non-linear self-excitation suppression processing algorithm. The measuring results in a Doppler ultrasound fetal heart simulator and pregnant women show that the good denoising effect can been achieved and the signal-to-noise of the signals can been greatly enhanced by the proposed algorithm. Also, the sensitivity of fetal heart measurement is improved and the self-excited howling is eliminated effectively.
机译：多普勒超声胎儿心脏信号较弱，复杂，而背景噪声强劲。它导致家用综合多普勒胎儿心脏监测器的许多问题，如低灵敏度，小测量区域，胎儿心率低的精度，以及自我兴奋的嚎叫。本文提出了一种胎儿心脏信号处理算法，其包括基于光谱减法和非线性自激抑制处理算法的自适应去噪方法。多普勒超声胎心模拟器和孕妇的测量结果表明，可以实现良好的去噪效果，并且通过所提出的算法可以大大提高信号的信号对噪声。而且，改善了胎儿心脏测量的敏感性，有效地消除了自我兴奋的嚎叫。

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