Method and system for establishing pulse wave noise signal identification model based on convolutional neural network

Abstract

The invention discloses a method and a system for establishing a pulse wave noise signal identification model based on a convolutional neural network. The method comprises the steps of preprocessing pulse wave noise signal data; extracting features of the processed noise signal data through a plurality of convolution layers of the convolution network model; extracting key information of the processed noise signal data through a maximum pooling layer; calculating the weight of each neuron of the convolutional neural network model through a dense layer activation function; calculating the processed noise signal data through a convolutional neural network model, and outputting an identification result of the noise signal data; adjusting the weight of each neuron of the convolutional neural network model through the error of the recognition result of the noise signal data, and carrying out the repeated iterative loop training of the convolutional neural network model; and verifying the convolutional neural network model by using the unrecognized noise signal data in the processed noise signal data to obtain a verified convolutional neural network model.

Description

technical field [0001] The present invention relates to the technical field of pulse wave signal processing, and more specifically, to a method and system for establishing a pulse wave noise signal recognition model based on a convolutional neural network. Background technique [0002] The digital pulse diagnosis obtains the pulse wave signal through the pressure sensor attached to the radial artery. This technology makes pulse diagnosis gradually quantitative and standardized, and provides technical support for more objective and accurate clinical diagnosis, auxiliary diagnosis and curative effect determination of pulse diagnosis in traditional Chinese medicine, thereby promoting the process of modernization of traditional Chinese medicine. [0003] When identifying digitized pulse wave noise signals, the essence of the problem is to perform binary classification on continuous one-dimensional time series. Traditional classifiers such as (logistic regression, linear SVM) ar...

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Problems solved by technology

[0005] The technical solution of the present invention provides a method and system for establishing a pulse wave noise signal recognition model based on a convolutional neural network to solve the problem of how to establish a pulse wave noise signal recognition model based on a convolutional neural network

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