Classification of aorta insufficiency and stenosis using neuro-fuzzy system
Küçük Resim Yok
Tarih
2005
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Kluwer Academic/Plenum Publishers
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Cardiac Doppler signals recorded from aorta valve of 60 patients were transferred to a personal computer by using a 16 bit sound card. The fast Fourier transform (FFT) method was applied to the recorded signal from each patient. Since FFT method inherently cannot offer a good spectral resolution at jet blood flows such as cardiac Doppler signals, it sometimes causes wrong interpretation. In order to do a good interpretation and rapid diagnosis, cardiac Doppler blood flow signals were statistically arranged and then classified using neuro-fuzzy system. The NEFCLASS model, which is used to create a fuzzy classification system from data, was used. The classification results show that neuro-fuzzy system offers best results in the case of diagnosis. © 2005 Springer Science+Business Media, Inc.
Açıklama
Anahtar Kelimeler
Aorta valve, Cardiac Doppler, Fast Fourier transform (FFT), NEFCLASS (neuro-fuzzy classification)
Kaynak
Journal of Medical Systems
WoS Q Değeri
Scopus Q Değeri
Q1
Cilt
29
Sayı
2
