Doppler Spectrogram Calculation using DSP Processor & MATLAB
Harsha Jain1, Ashwini Andurkar2, Vandana Koli3
1Miss. Harsha Jain, Department of Electronics & Tele Communication, Government College of Engineering, Jalgaon, India.
2Mrs. Ashwini Andurkar, Department of Electronics & Tele Communication, Government College of Engineering, Jalgaon, India.
3Miss. Vandana Koli, Department of Electronics & Tele Communication, Government College of Engineering, Jalgaon, India.
Manuscript received on November 01, 2014. | Revised Manuscript Received on November 16, 2014. | Manuscript published on November 20, 2014. | PP: 28-32 | Volume-2, Issue-12, November 2014. | Retrieval Number: L05451121214/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Doppler echocardiography is a method for detecting the direction and velocity of moving blood vessels within the heart. It uses Doppler’s shift principle that there is change in frequency of ultrasonic waves relative to the motion of moving blood cells. The change in frequency is proportional to the velocity of blood cells. Most of the Doppler ultrasound systems employ quadrature demodulation technique at the detection stage. The information concerning flow direction encoded in the phase relationship between in-phase and quadrature phase channels is not obvious at this stage. A method based on the complex fast Fourier transform (CFFT) and complex wavelet transform (CWT) has been described. It eliminates the intermediate processing stages by mapping directional information in frequency and scale domain respectively. These methods are implemented in real time using commercially available digital signal processors TMS320C6713DSK along with Code Composer Studio 3.1 and also used MATLAB 7.4.0(R2007a) software. This system has been designed as open research platform, which can be programmable with variety of novel algorithms for studying improved and resolved spectrograms to obtain accurate diagnostic details in the future.
Keywords: Directional Doppler, Doppler Echocardiography, CFFT, CWT, TMS320C6713DSK