Comparison of FFT and adaptive ARMA methods in transcranial Doppler signals recorded from the cerebral vessels

Guler İ., Hardalac F., Kaymaz M.

Computers in Biology and Medicine, vol.32, no.6, pp.445-453, 2002 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 32 Issue: 6
  • Publication Date: 2002
  • Doi Number: 10.1016/s0010-4825(02)00036-7
  • Journal Name: Computers in Biology and Medicine
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.445-453
  • Keywords: transcranial Doppler, signal analysis, spectral resolution, temporal region, fast Fourier transform, adaptive ARMA, sonogram, SPECTRAL-ANALYSIS, REAL-TIME, ULTRASOUND
  • Gazi University Affiliated: Yes


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. © 2002 Elsevier Science Ltd. All rights reserved.