基于心音的心脏病非线性ARX建模

2011 IEEE 7th International Colloquium on Signal Processing and its Applications Pub Date : 2011-03-04 DOI:10.1109/CSPA.2011.5759907

N. Shamsuddin, M. Taib

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引用次数: 2

摘要

提出了基于心音的心脏病建模系统。该模型采用ARX模型作为回归向量，神经网络作为非线性模型结构。通过最小化NSSE、fit和FPE准则来优化隐藏神经元的数量。2-4-1的模型结构与原始心音信号吻合良好，平均r平方在99.9%以上。然后对模型的权重参数进行估计和分析，以便对心脏病进行分类。

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Nonlinear ARX modeling of heart diseases based on heart sounds

This paper proposed the heart disease modeling system based on heart sounds. The model uses ARX model as regression vector and Neural Network as nonlinear model structures. The number of hidden neurons was optimised by minimizing the criterion of NSSE, fit and FPE criterion. The model architecture of 2-4-1 perfectly fits the original heart sound signals with average R-square of above 99.9%. The weight parameters of the models were then estimated and analysed for the purpose of classification of the heart diseases.

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来源期刊

2011 IEEE 7th International Colloquium on Signal Processing and its Applications

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