A Novel Medical E-Nose Signal Analysis System
It has been proven that certain biomarkers in people’s breath have a relationship with diseases and blood glucose levels (BGLs). As a result, it is possible to detect diseases and predict BGLs by analysis of breath samples captured by e-noses. In this paper, a novel optimized medical e-nose system s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/17/4/402 |
| _version_ | 1817995938181939200 |
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| author | Lu Kou David Zhang Dongxu Liu |
| author_facet | Lu Kou David Zhang Dongxu Liu |
| author_sort | Lu Kou |
| collection | DOAJ |
| description | It has been proven that certain biomarkers in people’s breath have a relationship with diseases and blood glucose levels (BGLs). As a result, it is possible to detect diseases and predict BGLs by analysis of breath samples captured by e-noses. In this paper, a novel optimized medical e-nose system specified for disease diagnosis and BGL prediction is proposed. A large-scale breath dataset has been collected using the proposed system. Experiments have been organized on the collected dataset and the experimental results have shown that the proposed system can well solve the problems of existing systems. The methods have effectively improved the classification accuracy. |
| first_indexed | 2024-04-14T02:14:14Z |
| format | Article |
| id | doaj.art-29a4d369b3584185aa9b13e887312b83 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T02:14:14Z |
| publishDate | 2017-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-29a4d369b3584185aa9b13e887312b832022-12-22T02:18:16ZengMDPI AGSensors1424-82202017-04-0117440210.3390/s17040402s17040402A Novel Medical E-Nose Signal Analysis SystemLu Kou0David Zhang1Dongxu Liu2Biometrics Research Center, Department of Computing, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong, ChinaBiometrics Research Center, Department of Computing, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong, ChinaDepartment of Computer Science, Harbin Institute of Technology Shenzhen graduate school, Shenzhen 518055, ChinaIt has been proven that certain biomarkers in people’s breath have a relationship with diseases and blood glucose levels (BGLs). As a result, it is possible to detect diseases and predict BGLs by analysis of breath samples captured by e-noses. In this paper, a novel optimized medical e-nose system specified for disease diagnosis and BGL prediction is proposed. A large-scale breath dataset has been collected using the proposed system. Experiments have been organized on the collected dataset and the experimental results have shown that the proposed system can well solve the problems of existing systems. The methods have effectively improved the classification accuracy.http://www.mdpi.com/1424-8220/17/4/402e-nosechemical sensorsbreath analysisblood glucose level |
| spellingShingle | Lu Kou David Zhang Dongxu Liu A Novel Medical E-Nose Signal Analysis System Sensors e-nose chemical sensors breath analysis blood glucose level |
| title | A Novel Medical E-Nose Signal Analysis System |
| title_full | A Novel Medical E-Nose Signal Analysis System |
| title_fullStr | A Novel Medical E-Nose Signal Analysis System |
| title_full_unstemmed | A Novel Medical E-Nose Signal Analysis System |
| title_short | A Novel Medical E-Nose Signal Analysis System |
| title_sort | novel medical e nose signal analysis system |
| topic | e-nose chemical sensors breath analysis blood glucose level |
| url | http://www.mdpi.com/1424-8220/17/4/402 |
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