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Basic On Human Exhalation For The Electronic Nose System Of Design And Implementation

Posted on:2021-02-04Degree:MasterType:Thesis
Country:ChinaCandidate:R H QuFull Text:PDF
GTID:2504306104999819Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Due to the latent nature of most diseases in human body,patients are easy to miss the best detection and treatment time of diseases.Electronic nose technology can detect the volatile organic compounds in the exhaled gas of human body and screen the diseases that patients may contain.Compared with the traditional gas chromatography,the electronic nose detection technology has the characteristics of low price,fast and high efficiency,which is more suitable for the health monitoring of ordinary families.Electronic nose technology is a method to train the exhaled air of human body collected by sensors by pattern recognition technology.The electronic nose system researched and implemented in this paper includes the following parts: firstly,the gas path acquisition device with Arduino as the control core is built,including the sensor array and detection chamber constructed by MOS sensor and double valve air bag,and the automatic gas path acquisition device constructed by air pump and solenoid valve;secondly,the algorithm research and simulation analysis of the key technologies of pattern recognition required by the system are carried out Using logistic regression,SVM,naive Bayes and random forest algorithm to classify and forecast the exhaled gas samples,and giving the voting prediction scheme combined with various algorithms;finally,using Django framework to build an exhaled gas information system to store the collected exhaled gas.In the electronic nose system,125 volatile liquid samples and 50 young exhaled gas samples are collected and classified by different pattern recognition algorithms.The classification results of five volatile liquid samples show that the correct rate is more than 90%.Because the number of young gas samples is relatively small,the current recognition rate is only about 70%,and finally through k-fold test The classification results are verified by checking and reserving one method.The test shows that the system realizes the function of automatic collection,detection and analysis of gas,basically realizes the function of collection and detection of exhaled gas of human body,and provides the basis for subsequent disease detection.
Keywords/Search Tags:electronic nose, VOCs, sensor array, gas path acquisition, pattern recognition, information management system
PDF Full Text Request
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