DocumentCode :
1671587
Title :
Adaptive system identification and diagnosis of function of arterial vessel
Author :
Zhou, Li-Gao ; Qu, Yan-Pin ; Wang, Lin ; Jin, Qi-Ying
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
fYear :
1989
Firstpage :
440
Abstract :
An autoregressive moving-average (ARMA) adaptive system identification method is presented for identifying the transfer function of an arterial vessel of a lower limb. The results are used to estimate the function of the arterial vessel, i.e. the degree of arterial stenosis. Twelve human limbs and three dogs were used in the study
Keywords :
adaptive systems; identification; patient diagnosis; arterial stenosis degree estimation; arterial vessel function diagnosis; autoregressive moving-average adaptive system; dogs; human limbs; identification method; lower limb; Adaptive systems; Arteries; Blood; Diseases; Filters; Poles and zeros; Resonance light scattering; Societies; System identification; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
Type :
conf
DOI :
10.1109/IEMBS.1989.95808
Filename :
95808
Link To Document :
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