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Extracting of the ultrasound fetal heart rate signal based on wavelet packet mix node threshold

机译:基于小波包混合节点阈值的超声胎儿心率信号提取

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Clinically, fetal heart rate, to a certain extent, reflects the health of the fetus. Therefore, how to extract the fetal heart rate signals in ultrasound fetal heart rate signal processing has been a key issue. In this paper, a new wavelet packet mix node threshold (WPMNT) denoising algorithm based on the maximum wavelet packet energy entropy is proposed. Moreover, based on the threshold given by the new algorithm, a new wavelet packet threshold function is constructed for ultrasound fetal heart rate signal denoising. Experimental results show that this algorithm gives better signal noise ratio (SNR) gains and mean square error (MSE) performance than traditional algorithms.
机译:临床上,胎儿心率在一定程度上反映了胎儿的健康状况。因此,如何在超声胎儿心率信号处理中提取胎儿心率信号已成为关键问题。提出了一种基于最大小波包能量熵的小波包混合节点阈值(WPMNT)去噪算法。此外,基于新算法给出的阈值,构造了新的小波包阈值函数以用于超声胎儿心率信号降噪。实验结果表明,与传统算法相比,该算法具有更好的信噪比(SNR)增益和均方误差(MSE)性能。

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