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Improved heart motion tracking algorithm with added acceleration measurement for beating heart surgery

机译:改进的心脏运动跟踪算法,增加了用于搏动心脏手术的加速度测量

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In the CABG surgery the robot dynamically cancels the relative motion between the point of interest (POI) on the beating heart and robotic instruments, such that the surgeon can operate as if the heart is stationary. Due to high bandwidth of the POI motion, the quick and precise tracking ability of the robot system is necessary. Different from other heart motion tracking system with only position measurement, our system had both position and acceleration measurement to achieve better tracking performance. The state analysis of the physical model of surgical robotic system offered us the possibility to decrease the tracking error by adding accelerometer. The control algorithm based on the adaptive heart motion model employed the optimal tracking theory with Kalman Filter state estimation is proposed. The result showing better tracking performance is achieved by the added acceleration measurement which provided pre-lead phase over position and more dynamics. The comparison tracking results with and without acceleration measurement which was experimented on 3D test bed Phantom robotics are reported.
机译:在CABG手术中,机器人会动态取消跳动的心脏上的兴趣点(POI)与机器人器械之间的相对运动,从而使外科医生可以像心脏静止一样进行操作。由于POI运动的带宽很高,因此机器人系统必须具有快速而精确的跟踪能力。与仅进行位置测量的其他心脏运动跟踪系统不同,我们的系统同时具有位置和加速度测量,以实现更好的跟踪性能。手术机器人系统物理模型的状态分析为我们提供了通过添加加速度计来减少跟踪误差的可能性。提出了一种基于自适应心脏运动模型的控制算法,该算法采用最优跟踪理论和卡尔曼滤波状态估计。通过增加的加速度测量获得更好的跟踪性能,该加速度测量提供了超前相位超前位置和更多的动态特性。报告了在3D测试平台Phantom机器人上进行的带有和不带有加速度测量的比较跟踪结果。

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