Abstract: A system monitors dynamic forces between bearing surfaces. Based on sensed data, the system may model the forces on the bearing surfaces, analyze these forces, store data relating to these forces, and/or transmit data to an external data gathering device. The system includes a first body piece and a second body piece which mate together. The first and second body pieces comprise bearing surfaces that contact a material that may exert a force. A protrusion, such as a pole, post, or beam, extends from first body piece's bearing surface. At least one sensor is disposed on a pole. The at least one sensor detects a mechanical motion of the pole resulting from a force imposed on the body pieces, and generates data indicative of this force. A computer communicates with the at least one sensor and processes the sensed and/or modeled data.

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.