Application of FFT analyzed cardiac Doppler signals to fuzzy algorithm.
Doppler signals, recorded from the output of tricuspid, mitral, and aorta valves of 60 patients, were transferred to a personal computer via 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 highly turbulent blood flows, it sometimes leads to wrong interpretation of cardiac Doppler signals. In order to avoid this problem, firstly six known diseased heart signals such as hypertension, mitral stenosis, mitral failure, tricuspid stenosis, aorta stenosis, aorta insufficiency were introduced to fuzzy algorithm. Then, the unknown heart diseases from 15 patients were applied to the same fuzzy algorithm in order to detect the kinds of diseases. It is observed that the fuzzy algorithm gives true results for detecting the kind of diseases.
D000465:Algorithms; D000703:Analog-Digital Conversion; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation*; D003971:Diastole / Q000502:physiology; D015150:Echocardiography, Doppler / Q000295:instrumentation*; D005583:Fourier Analysis; D017143:Fuzzy Logic; D006349:Heart Valve Diseases / Q000000981:diagnostic imaging* / Q000503:physiopathology; D006351:Heart Valves / Q000000981:diagnostic imaging / Q000503:physiopathology; D006439:Hemodynamics / Q000502:physiology*; D006801:Humans; D006973:Hypertension / Q000000981:diagnostic imaging* / Q000503:physiopathology; D008838:Microcomputers; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013599:Systole / Q000502:physiology; D014584:User-Computer Interface