Paper Info
Title
Comparison of system identification techniques in the analysis of a phantom for studying shaken-baby syndrome.
Abstract
This article compares two techniques for estimating the parameters describing the motion of a phantom designed to investigate shaking baby syndrome. Parameters of a simple computational model and an impulse response function for a linear second order system were both fitted using kinematic measurements of the motion of an inverted jointed pendulum. From the two methods respectively, the rotational stiffness of the joint was calculated to be 1.396 kgm(2) s(-2) and 1.355 kgm(2) s(-2) and the damping coefficient was calculated to be 0.0142 kgm(2) s(-1) and 0.0133 kgm(2) s(-1). The parameter estimates were similar demonstrating that the two techniques were comparable. Identifying accurate parameters will allow more complex phantoms to be modeled, and will provide insight into the relationship between the shaking of the torso and the resultant head motion during shaken baby syndrome.
Year
DOI
Venue
2011
10.1109/IEMBS.2011.6090321
EMBC
Keywords
Field
DocType
biomechanics,joint rotational stiffness,impulse response function,parameter estimation,biomedical measurement,kinematic measurements,system identification techniques,linear second order system,bone,elastic constants,torso shaking,head motion,kinematics,inverted jointed pendulum,shaken-baby syndrome,medical diagnostic computing,damping,phantoms,damping coefficient,phantom,system identification,second order,pediatrics,fitting,mathematical model
Impulse response,Kinematics,Mathematical analysis,Computer science,Imaging phantom,Artificial intelligence,Estimation theory,System identification,Computer vision,Torso,Stiffness,Simulation,Pendulum
Conference
Volume
ISSN
ISBN
2011
1557-170X
978-1-4244-4122-8
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Thomas O. Lintern100.34
Mark C. Finch200.34
Andrew J. Taberner32810.59
Poul M. F. Nielsen432829.20
Martyn P. Nash500.34