DocumentCode
714479
Title
Classification of normalized healty and pathological lung sounds
Author
Aras, Selim ; Gangal, Ali ; Bulbul, Yilmaz
Author_Institution
Elektrik-Elektron. Muhendisligi Bolumu, Karadeniz Teknik Univ., Trabzon, Turkey
fYear
2015
fDate
16-19 May 2015
Firstpage
1150
Lastpage
1153
Abstract
In this paper, lung sounds were classified as healthy and pathological. Means and standard deviations of Mel Frequency Cepstrum Coefficients were used as features and also parameters obtained by exponential curve fitted to these values. Optimum performance obtained as 92.65% when exponential curve fit parameters used for the average of Mel Frequency Cepstrum Coefficients. k-Nearest Neighbor algorithm were used in the classification process.
Keywords
audio signal processing; cepstral analysis; lung; medical signal processing; signal classification; exponential curve fitted; k-nearest neighbor algorithm; mel frequency cepstrum coefficient; normalized healthy lung sound; pathological lung sound; sound classification; standard deviation; Cepstrum; Computers; Conferences; Hidden Markov models; IEEE Engineering in Medicine and Biology Society; Lungs; Medical diagnostic imaging; electronic auscultation; exponential curve fitting; lung sounds; mel frequency cepstrum coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location
Malatya
Type
conf
DOI
10.1109/SIU.2015.7130039
Filename
7130039
Link To Document