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Estimating Fetal Heart Rate from Multiple Ultrasound Signals

机译:估计来自多个超声信号的胎儿心率

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摘要

In utero, Monitoring of fetal wellbeing or suffering is today an open challenge, due to the high number of clinical parameters to be considered. An automatic monitoring of fetal activity, dedicated for quantifying fetal wellbeing, becomes necessary. For this purpose and in a view to supply an alternative for the Manning test, we used an ultrasound multitransducer multigate Doppler system. One important issue (and first step in our investigation) is the accurate estimation of fetal heart rate (FHR). An estimation of the FHR is obtained by evaluating the autocorrelation function of the Doppler signals for ills and healthiness foetus. However, this estimator is not enough robust since about 20% of FHR are not detected in comparison to a reference system. These non detections are principally due to the fact that the Doppler signal generated by the fetal moving is strongly disturbed by the presence of others several Doppler sources (mother's moving, pseudo breathing, etc.). By modifying the existing method (autocorrelation method) and by proposing new time and frequency estimators used in the audio' s domain, we reduce to 5% the probability of non-detection of the fetal heart rate. These results are really encouraging and they enable us to plan the use of automatic classification techniques in order to discriminate between healthy and in suffering foetus.
机译:在子宫中,由于待考虑的临床参数数量大,监测胎儿福祉或痛苦的是今天的开放挑战。需要自动监测专用于量化胎儿阱的胎儿活动。为此目的,并在一个替代射击测试的视图中,我们使用了超声波多元体系多相多普勒系统。一个重要问题(以及我们调查的第一步)是准确估计胎儿心率(FHR)。通过评估多普勒信号的自相关函数来获得FHR的估计,用于疾病和健康胎儿。然而,该估计器是不够强大的,因为与参考系统相比,未检测到大约20%的FHR。这些非检测主要是由于胎儿运动产生的多普勒信号因其他多普勒源(母亲的移动,伪呼吸等)强烈扰乱。通过修改现有方法(自相关方法)并通过提出音频域中使用的新的时间和频率估计,我们减少了胎儿心率未检测的可能性的5%。这些结果非常令人鼓舞,他们使我们能够计划使用自动分类技术,以便区分健康和患有胎儿的胎儿。

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