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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xing Chen Mingfu Cao Yan Hao Yi Li Ping Wang Kejing Ying Hongming Pan |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Biomed. Eng., Zhejiang Univ., Hangzhou (Xing Chen; Mingfu Cao; Yan Hao; Yi Li; Ping Wang) |
| Abstract | In this paper, we propose a non-invasive detection method of lung cancer combined with a sort of virtual SAW gas sensors array and imaging recognition method. A patient's breath goes through an electronic nose with solid phase micro extraction (SPME) and capillary column for pre-concentration and separation of volatile organic compounds (VOCs) respectively, a pair of SAW sensors one coated with a thin poly-isobutylene (PIB) film is connected to the output of capillary column port for chemical compounds detection. A lung cancer tissues' culture medium study is also proposed for pathology validation. 11 VOCs which are considered as the biomarkers of lung cancer can be detected qualitatively and quantitatively. Finally these 11 VOCs are used to diagnose lung cancer patients in Run Run Shaw hospital by our e-nose with an improved artificial neural network (ANN) algorithm combined with imaging method for pattern recognition |
| Starting Page | 5873 |
| Ending Page | 5876 |
| File Size | 265560 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780387414 |
| DOI | 10.1109/IEMBS.2005.1615826 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-01-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensor arrays Cancer detection Lungs Gas detectors Image recognition Surface acoustic waves Artificial neural networks Electronic noses Solids Volatile organic compounds Breath detection Non-invasive detection Lung cancer Biomedical Instrumentation Electronic nose Biosensors |
| Content Type | Text |
| Resource Type | Article |
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