TY - GEN
T1 - An effective feature extraction method used in breath analysis
AU - Chen, Haifen
AU - Lu, Guangming
AU - Guo, Dongmin
AU - Zhang, Dapeng
PY - 2010/7/21
Y1 - 2010/7/21
N2 - It has been reported that human breath could represent some kinds of diseases. By analyzing the components of breath odor, it is easy to detect the diseases the subjects infected. The accuracy of breath analysis depends greatly on what feature are extracted from the response curve of breath analysis system. In this paper, we proposed an effective feature extraction method based on curve fitting for breath analysis, where breath odor were captured and processed by a self-designed breath analysis system. Two parametric analytic models were used to fit the ascending and descending part of the sensor signals respectively, and the set of best-fitting parameters were taken as features. This process is fast, robust, and with less fitting error than other fitting models. Experimental results showed that the features extracted by our method can significantly enhance the performance of subsequent classification algorithms.
AB - It has been reported that human breath could represent some kinds of diseases. By analyzing the components of breath odor, it is easy to detect the diseases the subjects infected. The accuracy of breath analysis depends greatly on what feature are extracted from the response curve of breath analysis system. In this paper, we proposed an effective feature extraction method based on curve fitting for breath analysis, where breath odor were captured and processed by a self-designed breath analysis system. Two parametric analytic models were used to fit the ascending and descending part of the sensor signals respectively, and the set of best-fitting parameters were taken as features. This process is fast, robust, and with less fitting error than other fitting models. Experimental results showed that the features extracted by our method can significantly enhance the performance of subsequent classification algorithms.
KW - Breath odor
KW - Curve fitting
KW - Feature extraction
UR - http://www.scopus.com/inward/record.url?scp=77954639253&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-13923-9_4
DO - 10.1007/978-3-642-13923-9_4
M3 - Conference article published in proceeding or book
SN - 3642139221
SN - 9783642139222
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 33
EP - 41
BT - Medical Biometrics - Second International Conference, ICMB 2010, Proceedings
T2 - 2nd International Conference on Medical Biometrics, ICMB 2010
Y2 - 28 June 2010 through 30 June 2010
ER -
