MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Active filtering of physiological motion in robotized surgery using predictive control
IEEE Transactions on Robotics
Heart surface motion estimation framework for robotic surgery employing meshless methods
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Cardiolock: an active cardiac stabilizer first in vivo experiments using a new robotized device
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
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Active robotic filtering is a promising solution for beating heart Totally Endoscopic Coronary Artery Bypass Grafting (TECABG). In this work, we assess the heart motion dynamics using simultaneously high 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.