Title :
Empirical modeling of long catheters
Author :
Olivier, P.D. ; Schmalzel, John L.
Author_Institution :
Div. of Eng., Texas Univ., San Antonio, TX, USA
Abstract :
A novel system identification technique is suggested that provides analog models of analog systems based on sampled data and is applicable to any stable system. It has been applied to the development of moderate-order (greater than two and less than infinity) models of long catheters. The technique can be applied to either empirical data or theoretically derived transfer functions.<>
Keywords :
biomedical equipment; modelling; analog models; analog systems; empirical modelling; long catheters; sampled data; stable system; system identification technique; theoretically derived transfer functions;
Conference_Titel :
Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
Conference_Location :
New Orleans, LA, USA
Print_ISBN :
0-7803-0785-2
DOI :
10.1109/IEMBS.1988.94648
