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

Abijith Rajan, S. Logeshwaran, S. P. Kumar, Geethanjali
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引用次数: 1

Abstract

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.
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多普勒超声血流应用的基于实验室视图的噪声去除和基线校正
多普勒超声已广泛应用于血流参数的测量,如血流速度、血压等。这些变量的自动量化算法的成功取决于信号的无干扰或无噪声强度以及基线相对于零的位置。本文比较了适用于这些参数精确测量的预处理技术和基线校正技术。来自血管多普勒记录仪的1khz校准信号被用作参考信号。本文从均方误差(MSE)的角度比较了不同阶数的巴特沃斯低通滤波器和采用不同小波的去趋势方法的性能。这种方法成功地测量了肱静脉、足背静脉和胫后静脉的血流速度。
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