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Healthy and Asthmatic Sounds Classification using Fuzzy Clustering based Cascade Classifier Methods
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 182 - Number 25 |
| Year of Publication: 2018 |
| Authors: Güneş Harman |
10.5120/ijca2018918098
|
Güneş Harman . Healthy and Asthmatic Sounds Classification using Fuzzy Clustering based Cascade Classifier Methods. International Journal of Computer Applications. 182, 25 ( Nov 2018), 34-40. DOI=10.5120/ijca2018918098
Abstract
In this study, our aim is to presents different cascade classifier models based on Fuzzy C-means clustering methods, to classified normal and asthmatic lung sounds. The lung sounds recorded from both left and right lobe of the lung and divided inspiration and expiration phases. The frequency spectrum is obtained by using Fast Fourier Transform (FFT). After obtaining the spectrums of healthy and asthmatic lung sounds, fuzzy c-mean is applied to cluster the spectrum and then supervised classifier ANN, Naive Bayes and SVM are applied to classified healthy and asthmatic lung sounds.
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