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Vasilyev, Nikolay

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Vasilyev

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Nikolay

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Vasilyev, Nikolay

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Now showing 1 - 2 of 2
  • Publication

    Force tracking with feed-forward motion estimation for beating heart surgery

    (Institute of Electrical & Electronics Engineers (IEEE), 2010) Yuen, Shelten G.; Perrin, Douglas; Vasilyev, Nikolay; Del Nido, Pedro; Howe, Robert

    The manipulation of fast moving, delicate tissues in beating heart procedures presents a considerable challenge to the surgeon. A robotic force tracking system can assist the surgeon by applying precise contact forces to the beating heart during surgical manipulation. Standard force control approaches cannot safely attain the required bandwidth for this application due to vibratory modes within the robot structure. These vibrations are a limitation even for single degree of freedom systems driving long surgical instruments. These bandwidth limitations can be overcome by incorporating feed-forward motion terms in the control law. For intracardiac procedures, the required motion estimates can be derived from 3D ultrasound imaging. Dynamic analysis shows that a force controller with feed-forward motion terms can provide safe and accurate force tracking for contact with structures within the beating heart. In vivo validation confirms that this approach confers a 50% reduction in force fluctuations when compared to a standard force controller and a 75% reduction in fluctuations when compared to manual attempts to maintain the same force.

  • Publication

    Robotic tissue tracking for beating heart mitral valve surgery

    (Elsevier BV, 2013) Yuen, Shelten G.; Vasilyev, Nikolay; Del Nido, Pedro; Howe, Robert

    The rapid motion of the heart presents a significant challenge to the surgeon during intracardiac beating heart procedures. We present a 3D ultrasound-guided motion compensation system that assists the surgeon by synchronizing instrument motion with the heart. The system utilizes the fact that certain intracardiac structures, like the mitral valve annulus, have trajectories that are largely constrained to translation along one axis. This allows the development of a real-time 3D ultrasound tissue tracker that we integrate with a 1 degree-of-freedom (DOF) actuated surgical instrument and predictive filter to devise a motion tracking system adapted to mitral valve annuloplasty. In vivo experiments demonstrate that the system provides highly accurate tracking (1.0mm error) with 70%less error than manual tracking attempts.