Identification of Pulmonary Disorders by Using Different Spectral Analysis Methods
Yükleniyor...
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
ATLANTIS PRESS
Erişim Hakkı
Özet
This study presents detection of pulmonary disorders using different spectral analysis methods such as fast Fourier transform, autoregressive and the autoregressive moving average. Power spectral densities of the sounds were estimated through these methods. Feature vectors were constructed by extracting statistical features from the PSDs. Created feature vectors were used as inputs into the artificial neural networks. Then performances of spectral analysis methods were compared according to classification accuracies, sensitivities and specificities. In this aspect, the study is a comparative study of different spectral analysis methods.
Açıklama
Anahtar Kelimeler
Artificial Neural Network, Classification Accuracy, Feature Extraction, Power Spectrum Density, Spectral Analysis
Kaynak
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
