A flexible electronic nose for odor discrimination using different methods of classification
2009 (English)In: 2009 16th IEEE-NPSS Real Time Conference - Conference Record, 2009, 317-320 p.Conference paper (Refereed)
Ovarian cancer is one of the leading causes of death from cancer in women. The lifetime risk is around 1.5%, which makes it the second most common gynecologic malignancy (the first one being breast cancer). To have a definitive diagnose, a surgical procedure is generally required and suspicious areas (samples) will be removed and sent for microscopic and other analysis. This paper describes the result of a pilot study in which an electronic nose is used to "smell" the aforementioned samples, analyze the multi-sensor signals and have a close to real-time answer on the detection of cancer. Besides being fast, the detection method is inexpensive and simple. Experimental analysis using real ovarian carcinoma samples shows that the use of proper algorithms for analysis of the multi-sensor data from the electronic nose yielded surprisingly good results with more than 77% classification rate. The electronic nose used in this pilot study was originally developed to be used as a "bomb dog" and can distinguish between e.g. TNT, Dynamex, Prillit. However, it was constructed to be a flexible multi-sensor device and the individual (16) sensors can easily be replaced/exchanged. This is suggestive for further investigations to obtain even better results with new, specific sensors. In another pilot experiment, headspace of an ovarian carcinoma sample and a control sample were analyzed using gas chromatography-mass spectrometry. Significant differences in chemical composition and compound levels were recorded, which would explain the different response obtained with the electronic nose.
Place, publisher, year, edition, pages
2009. 317-320 p.
Breast Cancer, Causes of death, Chemical compositions, Classification rates, Control samples, Detection methods, Electronic NOSE, Experimental analysis, Flexible electronics, Gas chromatography-mass spectrometry, Gynecologic malignancies, Headspaces, Multi sensor, Multi-sensor data, Ovarian cancers, Ovarian carcinoma, Pilot experiment, Pilot studies, Specific sensors, Surgical procedures, Artificial organs, Chromatographic analysis, Gas chromatography, Mass spectrometry, Sensors
Computer Science Electrical Engineering, Electronic Engineering, Information Engineering Other Medical Sciences
IdentifiersURN: urn:nbn:se:kth:diva-152702DOI: 10.1109/RTC.2009.5321955ISI: 000275741600062ScopusID: 2-s2.0-72749103684ISBN: 978-142444455-7OAI: oai:DiVA.org:kth-152702DiVA: diva2:752681
2009 16th IEEE-NPSS Real Time Conference, 10 May 2009 through 15 May 2009, Beijing, China
QC 201410062014-10-062014-10-012014-10-06Bibliographically approved