Title :
Application of autoregressive moving average spectral analysis for red blood cell sedimentation rate estimation by an ultrasonic interferometry method
Author :
Larouk, A. ; Sennaoui, A. ; Kehli, A. ; Pautou, C. ; Boynard, M.
Author_Institution :
Lab. de Biophys. Appl., Univ. Rene Descartes, Paris, France
fDate :
31 Oct-3 Nov 1996
Abstract :
The signal measured by the ultrasonic interferometry method (EchoCell) that allows one to estimate the sedimentation rate of red blood cells (RBCs), has been investigated until now in the time domain. So, in the present study, the authors propose as an alternate approach, the investigation of that signal in the frequency domain. Firstly an autoregressive moving average model (ARMA) was used to produce a waveform that approximates the original signal. The power spectrum density function based on the ARMA parameters was then calculated for non-aggregated and aggregated RBC suspensions at various hematocrits. The results shows that the calculated ARMA spectrum of the signal gives information on estimation of accumulation rate of RBCs, i.e., on their sedimentation rate
Keywords :
acoustic signal processing; acoustic wave interferometry; cellular transport; frequency-domain analysis; haemorheology; medical signal processing; sedimentation; spectral analysis; EchoCell; autoregressive moving average model; autoregressive moving average spectral analysis; erythrocytes; hematocrit; red blood cell sedimentation rate estimation; ultrasonic interferometry method; waveform production; Autoregressive processes; Frequency domain analysis; Interferometry; Red blood cells; Signal analysis; Solids; Spectral analysis; Time domain analysis; Time measurement; Ultrasonic variables measurement;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.652662