HYBRID SENSOR BASED E-NOSE FOR LUNG CANCER DIAGNOSIS


ÖZSANDIKCIOĞLU Ü., ATASOY A., Yapici S.

13th IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, 11 - 13 June 2018, pp.986-990 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/memea.2018.8438596
  • City: Rome
  • Country: Italy
  • Page Numbers: pp.986-990
  • Karadeniz Technical University Affiliated: Yes

Abstract

Volatile Organic Compounds in human breath can be indicator of certain diseases. In this work an Electronic Nose system was developed in order to analyze human breath about diagnose whether people with lung cancer or not. In this Electronic Nose system, 8 Metal Oxide Semiconductor gas sensors and 14 Quartz Crystal Microbalance sensors were used. All sensors used in this system are sensitive to Volatile Organic Compounds related with lung cancer. Data obtained by using this system were first preprocessed. Then features were extracted from data for increase success of classification. In order to remove unnecessary features, Principal Component Analysis was used. Last, extracted features were classified with k-Nearest Neighbours and Support Vector Machines methods.