Comparison of FFT, AR and wavelet methods in transcranial Doppler signal obtain from intracerebral vessels

Author

Guler, I. ; Hardalac, F. ; Erol, F.S.

Author_Institution

Dept. Electron. & Comput. Educ., Gazi Univ., Ankara, Turkey

Volume

2

fYear

2001

fDate

2001

Firstpage

1832

Abstract

In this work, transcranial Doppler signals recorded from the temporal region of brain on 35 patients were transferred to a personal computer (PC) via 16 bit sound card. FFT, AR and WT methods were applied to transcranial Doppler for obtaining sonograms. Spectral analysis were obtained in order to compare with three methods in the case of medical diagnosis. The comparison shows that WT method often better results for the spectral resolution than the other methods. This leads the determination of brain pressure more accurately.

Keywords

autoregressive processes; biomedical ultrasonics; blood flow measurement; blood vessels; brain; fast Fourier transforms; medical signal processing; spectral analysis; time series; wavelet transforms; FFT; autoregressive methods; bifurcation; brain temporal region; intracerebral vessels; middle cerebral blood vessels; sonograms; spectral analysis; stenosis; time series; transcranial Doppler signals; vessel narrowing; wavelet transform; Blood flow; Computer science education; Fast Fourier transforms; Frequency; Medical diagnostic imaging; Microcomputers; Neurosurgery; Signal analysis; Sonogram; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1020578

Filename

1020578