DocumentCode
250397
Title
Gender detection based on pulmonary function test
Author
Cosgun, Sema ; Ozbek, I. Yucel
Author_Institution
Elektrik ve Elektron. Muhendisligi Bolumu, ATATURK Univ., Erzurum, Turkey
fYear
2014
fDate
16-17 Oct. 2014
Firstpage
1
Lastpage
4
Abstract
In this work, we proposed a new gender detection algorithm based on pulmonary function test. The proposed method has three main stages. In first the stage, some features are extracted from pulmonary function test. In the second stage, the probabilistic models based on Gaussian Mixture Model (GMM) are trained using these features, and in the final stage, the gender of test person is detected based on likelihood ratio test.
Keywords
Gaussian processes; diagnostic radiography; diseases; feature extraction; geometry; lung; medical image processing; mixture models; patient diagnosis; pneumodynamics; probability; statistical analysis; GMM; Gaussian Mixture Model; PFT-based gender detection; feature extraction stage; gender detection algorithm; likelihood ratio test; probabilistic models; pulmonary function test; test person gender detection; Conferences; Feature extraction; Fingerprint recognition; Gaussian mixture model; Signal processing; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering Meeting (BIYOMUT), 2014 18th National
Conference_Location
Istanbul
Type
conf
DOI
10.1109/BIYOMUT.2014.7026377
Filename
7026377
Link To Document