Application of FFT analyzed cardiac Doppler signals to fuzzy algorithm
Inan Güler1, Firat Hardalaç, Necaattin Barişçi
1Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, 06500, Ankara, Teknikokullar, Turkey. igueler@tef.gazi.edu.tr
Abstract:
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.
Related Concept Videos
Doppler Effect - II
Assessing Blood pressure using a doppler ultrasound
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
Discrete-Time Fourier Series
For a discrete-time periodic signal x[n]...
Discrete Fourier Transform
Fast Fourier Transform
The computational efficiency of the FFT becomes...
Relation of DFT to z-Transform
To understand how the DFT works, it's helpful to consider the z-transform, which is a method for representing discrete sequences in the complex frequency domain. The z-transform involves summing the terms of...


