Motion prediction via online instantaneous frequency estimation for vision-based beating heart tracking
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文摘

An efficient prediction scheme based on the dual Kalman filter is developed.

A new orthogonal fusion algorithm is proposed to measure heart motion frequencies.

Directional difference of breathing and heartbeat motion is taken into account.

In vivo dataset measured from real beating heart surgeries is used for validation.

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