Classification of Normalized Healty and Pathological Lung Sounds


Aras S., GANGAL A. , BÜLBÜL Y.

23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, 16 - 19 May 2015, pp.1150-1153 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2015.7130039
  • City: Malatya
  • Country: Turkey
  • Page Numbers: pp.1150-1153

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.