Barişçi N.Topal E.Hardalaç F.Güler I.2024-08-042024-08-0420050148-5598https://doi.org/10.1007/s10916-005-3003-9https://hdl.handle.net/11616/90512Cardiac 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.eninfo:eu-repo/semantics/closedAccessAorta valveCardiac DopplerFast Fourier transform (FFT)NEFCLASS (neuro-fuzzy classification)Article2921551651593180110.1007/s10916-005-3003-92-s2.0-17844373033Q1