Identification of Pulmonary Disorders by Using Different Spectral Analysis Methods

Yükleniyor...
Küçük Resim

Tarih

2016

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

Q2

Cilt

Sayı

Künye