Cuvillon Loïc, Gangloff Jacques, de Mathelin Michel, Forgione Antonello
LSIIT / EAVR (UMR CNRS-ULP), Strasbourg I University, France.
Med Image Comput Comput Assist Interv. 2005;8(Pt 2):551-8. doi: 10.1007/11566489_68.
Active robotic filtering is a promising solution for beating heart Totally Endoscopic Coronary Artery Bypass Grafting (TECABG). n this work, we assess the heart motion dynamics using simultaneously igh speed imaging of optical markers attached to the heart, ECG signals and ventilator airflow acquisitions. Our goal is to make an assessment of the heart motion (shape, velocity, acceleration) in order to be able to make more accurate specifications for a dedicated robot that could follow this motion in real-time. Furthermore, using the 2 additional inputs (ECG, airflow), we propose a prediction algorithm of the motion that could be used with a predictive control algorithm to improve the tracking accuracy.
主动机器人滤波是一种用于心脏不停跳全胸腔镜冠状动脉旁路移植术(TECABG)的有前景的解决方案。在这项工作中,我们通过同时对附着在心脏上的光学标记进行高速成像、采集心电图信号和呼吸机气流来评估心脏运动动力学。我们的目标是评估心脏运动(形状、速度、加速度),以便能够为可实时跟踪该运动的专用机器人制定更精确的规格。此外,利用另外两个输入(心电图、气流),我们提出了一种运动预测算法,该算法可与预测控制算法一起使用以提高跟踪精度。