Open Access
MATEC Web of Conferences
Volume 32, 2015
International Symposium of Optomechatronics Technology (ISOT 2015)
Article Number 04008
Number of page(s) 5
Section Optomechatronics for Bio-Medical Applications
Published online 02 December 2015
  1. M.J. Mack, “Minimally invasive and robotic surgery,” The Jounal of the American Medical Association, 285(5), pp. 568–572 (2001). [CrossRef]
  2. W.E.L. Grimson, R.J.F.A. Kikinis, F.A. Jolesz, P.M. Black, “Image-guided surgery,” Scientific American, 280(6), pp. 54–61 (1999).
  3. H. Ren, P. Kazanzides, “Hybrid attitude estimation for laparoscopic surgical tools: A preliminary study,” Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE, pp. 5583–5586 (2009).
  4. N. Enayati, “Quaternion based unscented Kalman filter for robust motion tracking in neurosurgery,” M.D. thesis, Master of Science in Automation Engineering, Politecnico in Milano (2013).
  5. C. He, P. Kazanzides, H.T. Sen, S. Kim, Y. Liu, “An Inertial and Optical Sensor Fusion Approach for Six Degree-of-Freedom Pose Estimation,” Sensors, 15(7), pp. 16448–16465 (2015). [CrossRef]
  6. R.E. Kalman, “A new approach to linear filtering and prediction problems,” Journal of Fluids Engineering, 82(1), pp. 35–45 (1960).
  7. J.B. Gao, C.J. Harris, “Some remarks on Kalman filters for the multisensory fusion,” Information Fusion, 3(3), pp. 191–201 (2002). [CrossRef]
  8. R.G. Brown, P.Y. Hwang, “Introduction to random signals and applied Kalman filtering: with MATLAB exercises and solutions,” (Wiley, 1997).