Spectral analysis of internal carotid arterial Doppler signals using FFT, AR, MA, and ARMA methods

Ubeyli E., Guler İ.

COMPUTERS IN BIOLOGY AND MEDICINE, cilt.34, sa.4, ss.293-306, 2004 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 34 Sayı: 4
  • Basım Tarihi: 2004
  • Doi Numarası: 10.1016/s0010-4825(03)00060-x
  • Dergi Adı: COMPUTERS IN BIOLOGY AND MEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.293-306
  • Anahtar Kelimeler: Doppler signal, spectral analysis, power spectral density, sonogram, internal carotid artery, stenosis, SONOGRAM OUTPUTS, ULTRASOUND, STENOSIS
  • Gazi Üniversitesi Adresli: Evet

Özet

In this study, Doppler signals recorded from internal carotid artery of 45 subjects were processed by PC-computer using classical (fast Fourier transform) and model-based (autoregressive, moving average, autoregressive moving average (ARMA) methods) methods. Power spectral density estimates of internal carotid arterial Doppler signals were obtained using these spectral analysis methods. The variations in the shape of the Doppler power spectra as a function of time were presented in the form of sonograms in order to determine the degree of internal carotid artery stenosis. These Doppler power spectra and sonograms were then used to compare the applied methods in terms of their frequency resolution and the impact on determining stenosis in internal carotid arteries. Based on the results, performance characteristics of the autoregressive and ARMA methods were found extremely valuable for spectral analysis of internal carotid arterial Doppler signals obtained from healthy subjects and unhealthy subjects having artery stenosis. (C) 2003 Elsevier Ltd. All rights reserved.