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

机译:基于Lab VIEW的噪声消除和基线校正,适用于多普勒超声血流应用

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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测量诸如血流速度,血压等血流参数。针对这些变量的自动定量算法的成功取决于信号的抗干扰或无噪声强度以及相对于基线的位置归零。在这项工作中,对适合精确测量这些参数的预处理和基线校正技术进行了比较。为此,将来自血管多普勒记录仪的1 KHz校准信号用作参考信号。根据均方误差(MSE),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。这已成功测量了肱臂,背侧和胫后静脉的血流速度。

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