使用神经和统计分类器的心音分析:比较

[1989] Proceedings. Computers in Cardiology Pub Date : 1989-09-19 DOI:10.1109/CIC.1989.130582

B. Dieter, Albert E. Bothe, U. Rengshausen

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引用次数: 20

摘要

将经典模式识别方法与训练好的神经网络分类器的结果进行了比较。使用自适应数字在线滤波降低了与特定心脏操作不相关的噪声。结果表明，学习神经分类器的优势，被认为是可转移到其他应用。

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Heart sound analysis using neural and statistical classifiers: a comparison

The results of a classical pattern recognition approach to heart sound analysis are compared with those of a trained neural network classifier. Noise not correlated with the specific heart operation is reduced by use of adaptive digital online filtering. The results, indicating the advantages of learning neural classifiers, are regarded as being transferable to other applications.<>

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来源期刊

[1989] Proceedings. Computers in Cardiology

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