Key result
A novel robust multisensor prediction scheme for motion compensation in beating heart surgery showed superior performance compared to an artificial neural network and a linear prediction approach.
A novel multisensor prediction scheme incorporating ECG and respiration data improves motion tracking robustness for robotic beating-heart surgery.
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May aid robotic motion compensation in beating-heart surgery; leaves open prospective clinical validation.
Ortmaier et al. (2005) studied Beating heart surgery. Multisensor prediction scheme for motion compensation vs. Artificial neural network and linear prediction approach was evaluated on Prediction performance. A novel robust multisensor prediction scheme for motion compensation in beating heart surgery showed superior performance compared to an artificial neural network and a linear prediction approach.
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