文章摘要
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].,1996,15(3):7-11
对超声DOPPLER声谱图进行分类决策的两种方法
Two methods of automatic classification and decision for Doppler sonogram
  
中文摘要:
      本文介绍了两种对超声多普勒血流声谱国进行波形自动分类决策的方法。方法一,与统计得到的标准波形组对比,按适当判推进行自动分类;方法二,送入经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到。文中给出了计算机模拟的结果。
英文摘要:
      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.
DOI:10.11684/j.issn.1000-310X.1996.03.002
中文关键词: 超声多普勒  声谱包络  分类决策  人工神经网络
英文关键词: Doppler ultrasound  Envelope of flow sonogram  Classification and decision  Neural network
基金项目:
作者单位
吴晓峰 复旦大学电子工程系!上海200433 
汪源源 复旦大学电子工程系!上海200433 
王威琪 复旦大学电子工程系!上海200433 
余建国 复旦大学电子工程系!上海200433 
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