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- W2386876134 abstract "Based on wavelet analysis,this paper discusses the cruxes which must be solved,including pulse signal decomposition,reconstruction and signal purification as well as extracting and analyzing pulse eigenvalues of time domain and frequency domain,and how to construct reasonable neural network configuration,how to make sure the numbers of nerve cells at all levels,how to select suitable study speed and efficiency,how to train neural network and so on,and constructs a considerably practical system for recognition of Chinese medical pulse signal based on wavelet analysis.The accurate rate of pulse detection of 1456 clinic cases is proved high by 90%,even higher.It significantly enhances not only the recognition rates to basic pulse signals such as normal pulse,floating pulse,sunken pulse, slow pulse,fast pulse,weak pulse,powerful pulse,slippery pulse,astringent pulse,full pulse,rapid and intermittent pulse,slow and intermittent pulse,slow-intermittent-regular pulse,but also the recognition capacity of clinically common combined pulse signal with basic pulse." @default.
- W2386876134 created "2016-06-24" @default.
- W2386876134 creator A5023876529 @default.
- W2386876134 date "2005-01-01" @default.
- W2386876134 modified "2023-09-25" @default.
- W2386876134 title "System for Recognition of Chinese Medical Pulse Signal Based on Wavelet Analysis and Back Propagation Neural Network Recognition" @default.
- W2386876134 hasPublicationYear "2005" @default.
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