Comparison of fast Fourier transformation and autoregressive modelling as a diagnostic tool in analysis of lower extremity venous signals

Kara S., Kemaloglu S., Erdoğan N.

COMPUTERS IN BIOLOGY AND MEDICINE, cilt.36, sa.5, ss.484-494, 2006 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36 Sayı: 5
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1016/j.compbiomed.2005.03.001
  • Dergi Adı: COMPUTERS IN BIOLOGY AND MEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.484-494
  • Erciyes Üniversitesi Adresli: Evet

Özet

In this study, we have compared the efficacy of autoregressive modelling (ARM) and fast Fourier transformation (FFT) of Doppler signals from lower extremity veins of healthy volunteers in various physiologic situations. Compared to FFT, ARM produced smooth spectra and less spectral broadening both in sonograms and power spectra. However, faulty positioning of the peaks along the time axis in FFT derived power spectral density curves show that FFT is not a suitable method if these graphs are to be used as a diagnostic: tool. Analysis of ARM-based venous sonograms and power spectral density graphs revealed that FFT should not be used in signals with high power spectral density levels and low-frequency bandwidth within limited segments of time. (c) 2005 Elsevier Ltd. All rights reserved.