超声心动图信号的小波处理

Sivakannan Subramani, S. Ananthi, A. Arun, K. Padmanabhan
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引用次数: 0

摘要

. 小波在图像处理、数据压缩和时间频谱估计等各个领域都有应用。本文介绍了超声心动图信号在超声仪器领域的另一应用。超声回波信号有两个区域——成像信号和来自腔室血流的多普勒信号。小波函数能较好地表征超声数据的定向纹理分量。它能较好地去除频域非相干散斑噪声。为了确定血液颗粒的速度,得到与超声基频同步检测的多普勒频移信号,称为I和Q信号。而不是使用目前的技术的CFFT方法,使用小波分解的信号,使用标准的正交Mallet小波级数,例如。由于小波在提供更好的时间分辨率方面的有效性,特别是在心脏瓣膜开启和关闭的时刻,基于小波系数的频谱图被发现能够提高E和A波剖面的分辨率,以及用于评估心脏瓣膜狭窄面积的压力半时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Echo cardio graphic Signal Processing Using Wavelets
. Various areas like image processing, data compression and time frequency spectral estimation where the Wavelet have been applied. This paper describes another application in the filed of echocardiographic signals from an ultrasound machine. There are two areas of signals from the ultrasound echos - the imaging and the Doppler signals from blood flow in the chambers. Wavelet functions are shown to characterize Ultrasound data in terms of oriented texture component better. It can decorrelate non-coherent speckle noise better in the frequency domain. To determine the velocities of blood particles, the Doppler shift signals, synchronously detected with the base Ultrasound frequency, and called the I and Q signals are obtained. Rather than using the present day technique of CFFT method, the use of Wavelet decomposition of the signals has been made, using standard orthogonal Mallet Wavelet series, for example. Due to the usefulness of the Wavelets in providing better time resolution, particularly adjacent to the opening and closing instants of heart valves, the spectrogram based on Wavelet coefficients was found to be able to give improved resolution of the profiles of the E & A waves as well as in the evaluation of the pressure half-time for assessment of stenosed heart valve’s area.
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