Electronic nose signal processing method based on mixing characteristic matrix

Abstract

The invention discloses an electronic nose signal processing method based on a mixing characteristic matrix. The method comprises the steps that first, characteristic extraction is conducted on an original data matrix to establish the mixing characteristic matrix, then a binary quantum particle swarm optimization algorithm is used for conducting characteristic selection on the mixing characteristic matrix, at last, the mixing characteristic matrix is fed into a classifier, a decimal quantum particle swarm optimization algorithm is used for conducting synchronous optimization on mixing characteristic sub matrixes and the parameters of the classifier, mode recognition is conducted to determine the mixing characteristic sub matrix with the highest recognition rate, and the sensor characteristic corresponding to the mixing characteristic sub matrix is selected to be used as the optimized characteristic of an electronic nose signal for conducting mode recognition. The electronic nose signal processing method based on the mixing characteristic matrix has the advantages that the defect that the complete information of an entire response curve can not be reflected only by extracting a single characteristic is overcome; the operation complexity is lowered, the problem of redundancy between sensors is effectively solved, the recognition rate of wound infection detection of an electronic nose is improved, and beneficial guidance can be provided for a doctor to choose a proper treatment method.

Description

technical field [0001] The invention relates to signal and information processing technology, in particular, an electronic nose signal processing method based on mixed feature matrix. Background technique [0002] An electronic nose is an electronic system that uses the response map of a gas sensor array to identify odors, and it can continuously and real-time monitor the odor status of a specific location within hours, days or even months. [0003] Medical electronic nose is a special electronic nose system, which can realize the diagnosis of disease or wound infection by detecting the gas exhaled by the patient or the gas in the head space of the wound. It has short response time, fast detection speed, low cost, simple and convenient operation, and has the advantages of artificial intelligence, so it has gained wide attention and application. [0004] Feature extraction is an important part of electronic nose data processing, and the dimensionality of original features gr...

AI Technical Summary

Problems solved by technology

Extracting only a single feature cannot reflect the steady-state response and transient response information of the entire response curve

At the same time, the existing electronic nose feature extraction is directly used as the input of the classifier for pattern recognition, but because the sensor array contains redundant information, it is necessary to select and optimize the extracted features

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