System Identification of Beating Heart Medical Surgery Assisted Robot

Article Preview

Abstract:

The wide bandwidth and high amplitude feature of the beating heart motion makes surgeon hard to achieve the coronary artery bypass graph surgery on his or her own. The robot could help to cancel the relative motion between the end effecter of the robotic tool and certain point on the heart surface. Therefore a stationary operation screen could be used for the surgeon. The precise robot modeling is the prerequisite for tracking control algorithm. In the paper, we process the input and output data by using the nonlinear optimization method to obtain the system model. Next, we discuss the system identification related problems and modify the model. Finally, a good system model is achieved.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1262-1265

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] V. FALK. Manual control and tracking-A human factr analysis relevant for beating heart sugery[J] . Thoracic Surg, 2002, 74: 624–628.

DOI: 10.1016/s0003-4975(02)03457-4

Google Scholar

[2] TREJOS A L, SALCUDEAN S E, SASSANI F, et al. On the feasibility of a moving support for surgery on the beating heart[C]/Proceeding of Medical Image Computing and Computer Assisted Interventions. Cambridge, UK: Springer, 1999: 1088–1097.

DOI: 10.1007/10704282_118

Google Scholar

[3] M. C. Cavusoglu, D. Feygin, and F. Tendik, A critical study of the mechanical and electrical properties of the PHANToM haptic interface and improvement for high performance control[C], Presence, vol. 11(6), p.555–568, (2002).

DOI: 10.1162/105474602321050695

Google Scholar

[4] Franklin Gene E., Powell J. David and Workman Michael L. Digital Control of Dynamic systems[M]. Addison-Wesley Publishing Company, New York, (1998).

Google Scholar

[5] M. G. Safonov and R. Y. Chiang, A Schur method for balanced-truncation model reduction[J], IEEE Transactions on Automatic Control, 1989vol. 34(7) 729–733.

DOI: 10.1109/9.29399

Google Scholar