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Lab VIEW based noise removal and baseline correction for doppler ultrasound blood flow applications

机译:基于Lab视图的多普勒超声波血流应用的噪声去除和基线校正

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Doppler Ultrasound has been widely used in the measurement of blood flow parameters such as blood velocity, blood pressure etc. Success of the automated quantification algorithms for these variables depends on the interference or noise free strength of the signal and position of the base line with respect to zero. Preprocessing and baseline correction techniques suitable for accurate measurement of these parameters are compared in this work. A 1 KHz calibration signal from the vascular Doppler recorder is used as a reference signal for this purpose. Performances of Butterworth low pass filters with different orders and detrending methods employing different wavelets are compared in terms of mean square error (MSE) in this paper. This has resulted in successful measurements of blood velocity of brachial, DorsalisPedis and post tibial vein.
机译:多普勒超声已广泛用于血流参数的测量,如血液速度,血压等,这些变量的自动化量化算法的成功取决于信号和基线的信号的干扰或无噪声强度 零。 在这项工作中比较了适用于精确测量这些参数的预处理和基线校正技术。 来自血管多普勒记录器的1 kHz校准信号用作此目的的参考信号。 在本文中的均方误差(MSE)方面比较了具有不同订单和采用不同小波的不同订单和劣化方法的Butterworth低通滤波器的性能。 这导致了肱骨,背心和胫骨后血管血液速度的成功测量。

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