Comparison of FFT and adaptive ARMA methods in transcranial Doppler signals recorded from the cerebral vessels.
In this work, transcranial Doppler signals recorded from the temporal region of the brain on 35 patients were transferred to a personal computer by using a 16-bit sound card. Fast Fourier transform and adaptive auto regressive-moving average (A-ARMA) methods were applied to transcranial Doppler frequencies obtained from the middle cerebral artery in the temporal region. Spectral analyses were obtained to compare both methods for medical diagnoses. The sonograms obtained using A-ARMA method give better results for spectral resolution than the FFT method. The sonograms of A-ARMA method offer net envelope and better imaging, so that the determination of blood flow and brain pressure can be calculated more accurately. All diseases show higher resistance to flow than controls with no difference between males and females. Whereas values between disease classes differed, resistance within each class was remarkably constant.
D000293:Adolescent; D000328:Adult; D000368:Aged; D001783:Blood Flow Velocity / Q000502:physiology; D001921:Brain / Q000098:blood supply*; D001927:Brain Diseases / Q000000981:diagnostic imaging; D002648:Child; D002675:Child, Preschool; D005260:Female; D005583:Fourier Analysis; D006801:Humans; D008297:Male; D008838:Microcomputers; D008875:Middle Aged; D020768:Middle Cerebral Artery / Q000000981:diagnostic imaging; D012044:Regression Analysis; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013702:Temporal Lobe / Q000098:blood supply; D018608:Ultrasonography, Doppler / Q000295:instrumentation*; D017585:Ultrasonography, Doppler, Transcranial / Q000295:instrumentation*