Identification of three-element windkessel model: comparison of time and frequency domain techniques.
The problem of the parameter identification of the three-element windkessel model is studied. Minimization by least-square technique--LSQ--in time domain and frequential techniques--FFT--are compared. Continuous pressure and flow curves were recorded in the proximal aorta of an open chest dog. Comparison shows very high correlations between the parameter estimations obtained by LSQ and FFT methods. However, systematic differences appear between the calculated values, but do not seem to endanger physiological interpretation of the results.
Pochet
T
T
L.H.C.N.-Modélisation Physique et Numérique des Ecoulements Sanguins, Université de Liège, Belgium.
Gerard
P
P
Marnette
J M
JM
D'Orio
V
V
Marcelle
R
R
Fatemi
M
M
Fossion
A
A
Juchmes
J
J
D000818:Animals; D001011:Aorta / Q000502:physiology; D001158:Arteries / Q000502:physiology*; D001783:Blood Flow Velocity; D002302:Cardiac Output; D004285:Dogs; D017097:Electric Impedance; D006339:Heart Rate; D006439:Hemodynamics / Q000502:physiology*; D007700:Kinetics; D008954:Models, Biological; D011312:Pressure; D013318:Stroke Volume; D014655:Vascular Resistance