Research on Hybrid Recognition Algorithms of Lung Cancer Breath Diagnosis Based on MOS and SAW Sensors
1 Biosensor National Special Lab, Key Lab for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
2 Zhejiang Sir Run Run Hospital，Zhejiang University，Hangzhou 310027, China
Abstract：The method of breath detection for lung cancer has gained growing interests in recent years. It is simple, fast, non-invasive, no need of marks and noncontact. Based on the lung cancer biomarkers obtained from the volatile organic compounds in breath samples of lung cancer patients and controls, we analyzed 27 breath samples of lung cancer patients and 27 breath samples of controls using MOS-SAW sensor coupling electronic nose technique. After preprocessing and analysis of the data, multiple methods, including PCA, LDA, PLS and ANN, were employed to establish the diagnosis models. And the discrimination results of these models were compared. It was showed that the ANN method had the best performance with the sensitivity of 92.59% and the specificity of 88.89%. So this method can be considered as a candidate one for the diagnosis of lung cancer through breath detection.
王怡珊1 王镝1 余凯1 王林1 赵聪1 邹莹畅1王平1*胡艳捷2 应可净2 . 基于MOS和SAW传感器呼吸诊断肺癌的复合识别算法研究[J]. 中国生物医学工程学报, 2012, 31(1): 110-116.
WANG Yi Shan1 WANG Di1 YU Kai1 WANG Lin1 ZHAO Cong1 ZHOU YinChang1 WANG Ping1*. Research on Hybrid Recognition Algorithms of Lung Cancer Breath Diagnosis Based on MOS and SAW Sensors. journal1, 2012, 31(1): 110-116.
