Application of neural networks to prosthesis fitting and balancing in joints
First Claim
1. A system for prosthesis fitting in joints, the system comprising:
- at least one an artificial condyle;
at least one bearing surface disposed in proximity to the condyle, the bearing surface adapted to receive at least one force imposed by the condyle;
at least one sensor responsive to a force between the condyle and the bearing surface to provide a known measurement indicative thereof;
a processor having a memory, the processor being operatively coupled to the sensor; and
a trained neural network operatively coupled to the processor, wherein the neural network predicts at least one unknown measurement based on the known measurement.
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Abstract
The present invention provides systems and methods for prosthesis fitting in joints that employ a trained neural network to predict at least one unknown set of data, such as position and contact force. The unknown data is predicted based on at least one known sensor value that is obtained intraoperatively. The predicted neural network data is made available to a physician and aids in the determination of whether to resect additional bone, release soft tissues, and/or select sizes for prosthetic components. Advantageously, increased data may be provided to a physician without the need to acquire numerous samples from a patient, and fewer sensors may be employed.
125 Citations
26 Claims
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1. A system for prosthesis fitting in joints, the system comprising:
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at least one an artificial condyle;
at least one bearing surface disposed in proximity to the condyle, the bearing surface adapted to receive at least one force imposed by the condyle;
at least one sensor responsive to a force between the condyle and the bearing surface to provide a known measurement indicative thereof;
a processor having a memory, the processor being operatively coupled to the sensor; and
a trained neural network operatively coupled to the processor, wherein the neural network predicts at least one unknown measurement based on the known measurement. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method for prosthesis fitting in joints, the method comprising:
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providing an artificial condyle;
providing at least one bearing surface disposed in proximity to the condyle, the bearing surface adapted to receive at least one force imposed by the condyle;
sensing a force between the condyle and the bearing surface and providing a known measurement indicative thereof;
storing the known measurement data in a processor, the processor being operatively coupled to the sensor; and
using a trained neural network operatively coupled to the processor to predict at least one unknown measurement based on the known measurement. - View Dependent Claims (13, 14, 15, 16, 17)
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18. A system for prosthesis fitting in joints, the system comprising:
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an artificial condyle;
a trial insert having at least one bearing surface disposed in proximity to the condyle, the bearing surface adapted to receive at least one force imposed by the condyle;
at least one sensor responsive to a force between the condyle and the bearing surface and capable of providing a known measurement indicative thereof;
a processor having a memory, the processor being operatively coupled to the sensor; and
a neural network operatively coupled to the processor, wherein the neural network is used to predict at least one unknown measurement based on the known measurement. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25, 26)
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Specification