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The heart sound signal, as a kind of weak biological signal under the background of strong noise, is easily subject to interference from noise of various sources. De-noising of heart sound signals, therefore, forms the primary basis for achieving non-invasive diagnosis of coronary heart disease. The paper proposes the five-level wavelet decomposition method for heart sound signals using Daubechies...
Presented a new method of recognizing and sorting of heart sound signal, using heart sound signal analysis and improved back propagation artificial Neural Network. Firstly, the heart sound signal has to be digitally filtered to eliminating the noise. The neural network adopted is improved back propagation three-layer artificial Neural Network, with an optimized BPN6-3-2 network topology. Get the characteristic...
Aiming at the deficiency of the current meridian diagnosis algorithms, SVM is applied to meridian diagnosis system. The system structure is described firstly, then the model selection of SVM is discussed in detail by taking chronic pharyngitis as an example: one-against-one method is used to realize multi-class; the problem of non-symmetrical samples of C-SVM is solved by giving positive and negative...
This paper gives a new way of recognizing and sorting of ECG signals, using ECG signals analysis and improved back propagation artificial neural network. Firstly, the ECG signals has to be digitally filtered to eliminating the 50 Hz noise. The neural network adopted is improved back propagation three-layer artificial neural network, with an optimized BPN4-3-2 network topology. Get the four characteristic...
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