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http://dx.doi.org/10.5369/JSST.2013.22.4.276

Diagnosis of Osmidrosis Axillae Using Electronic Nose  

Kim, Jeong-Do (Department of Electronic Engineering, Hoseo University)
Jang, Seong-Jin (Department of Electronic Engineering, Hoseo University)
Lim, Seung-Ju (Department of Electronic Engineering, Hoseo University)
Park, Sung-Dae (Department of Electronic Engineering, Hoseo University)
Kim, Dong-Jin (Department of Electronic Engineering, Hoseo University)
Kim, Jung-Ju (Department of Electronic Engineering, Hoseo University)
Publication Information
Journal of Sensor Science and Technology / v.22, no.4, 2013 , pp. 276-280 More about this Journal
Abstract
The purpose of this paper is to diagnose osmidrosis visually and quantify the extent of osmidrosis. To achieve this, we designed the diagnosis method of osmidrosis using electronic nose system. The developed electronic nose system use principal component analysis for visualization of osmidrosis and fuzzy c-means algorithm for quantification. To confirm the efficiency of electronic nose system for osmidrosis diagnosis, we obtained samples from 34 volunteers and compared our experiment results with the doctor's diagnosis, and we met with successful results.
Keywords
Electronic nose; Osmidrosis; FCM;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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