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对超声DOPPLER声谱图进行分类决策的两种方法
引用本文:吴晓峰,汪源源,王威琪,余建国.对超声DOPPLER声谱图进行分类决策的两种方法[J].应用声学,1996,15(3):7-11.
作者姓名:吴晓峰  汪源源  王威琪  余建国
作者单位:复旦大学电子工程系!上海200433
摘    要:本文介绍了两种对超声多普勒血流声谱图进行了波形自动分类法决策的方法,方法一与统计得到的标准波形相比,按适当判据进行自动分类,方法二,送入训练的人工神经网络进行自动分类,待分类波形由计算多普勒信号的最大频率提取声谱包络并经分段,平均和归一化等处理得以,文中给出了计算机模拟的结果。

关 键 词:超声多普勒  声谱包络  分类决策  血流声谱

Two methods of automatic classification and decision for Doppler sonogram
Wu Xiaofeng,Wang Yuanyuan,Wang Weiqi and Yu Jianguo.Two methods of automatic classification and decision for Doppler sonogram[J].Applied Acoustics,1996,15(3):7-11.
Authors:Wu Xiaofeng  Wang Yuanyuan  Wang Weiqi and Yu Jianguo
Institution:Electronic Engthedrig Deporiment Fudan Unforrsity, Shanghai 2oo433;Electronic Engthedrig Deporiment Fudan Unforrsity, Shanghai 2oo433;Electronic Engthedrig Deporiment Fudan Unforrsity, Shanghai 2oo433;Electronic Engthedrig Deporiment Fudan Unforrsity, Shanghai 2oo433
Abstract:Two methods for automatic classification and decision of Doppler waveforms for flow sonography analysis system are described. The envelope of the flow sonogram is obtained by estimating the maximum frequency of Doppler signal, from which we can draw out the curve to be classified' C1assification is carried out by comparing with the standard waveform group in the first method and by the use of the error back-propagation type neural network in the second method. One can then make some diagnosis decision.Result of a computer simulation is given.
Keywords:Doppler ultrasound  Envelope of flow sonogram  Classification and decision  Neural network
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