DocumentCode :
429139
Title :
Using system identification to model the transmission of vibroarthrographic signals
Author :
Dempsey, Erika J. ; Bell, G. Douglas ; Westwick, David T.
Author_Institution :
Dept. of Elec. & Comp. Eng., Calgary Univ., Alta., Canada
Volume :
1
fYear :
2004
fDate :
1-5 Sept. 2004
Firstpage :
718
Lastpage :
721
Abstract :
Vibroarthrographic signals have been proposed as a noninvasive tool for the diagnosis of joint injury. Models of VAG generation and transmission are required before application of this technique can begin. An experiment has been designed and performed to estimate sound transmission in the human knee at set joint angles. Linear frequency domain models and linear and nonlinear time domain models were estimated from the experimental data. Linear models with high accuracy were identified for knees at an angle of 90°. Models identified from angles below 90° had relatively low accuracy.
Keywords :
bioacoustics; biomechanics; bone; physiological models; vibrations; human knee; joint injury diagnosis; linear frequency domain models; linear time domain models; nonlinear time domain models; sound transmission; system identification; vibroarthrographic signal transmission; Anatomy; Diseases; Humans; Joints; Knee; Magnetic resonance imaging; Pathology; Signal processing; System identification; Vibration measurement; Vibroarthrogram; knee joint; piezo-electric actuator; system identi fi cation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
Type :
conf
DOI :
10.1109/IEMBS.2004.1403259
Filename :
1403259
Link To Document :
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