A wireless system comprising a first wireless device and a second wireless device. The first wireless device is configured to operate with less than 15 milliamperes of current. The second wireless device has an internal power source and is configured to transmit one or more radio frequency signals to the first wireless device. The first wireless device is configured to receive the one or more radio frequency signals from the second wireless device. The first wireless device is configured to harvest energy from the one or more radio frequency signals. The first wireless device is enabled for operation after a predetermined amount of energy is harvested from the one or more radio frequency signals. A communication handshake occurs between the first and second wireless devices to indicate that the first wireless device is in communication with the second wireless device. The first wireless device is configured to perform at least one task from harvested energy.

Disclosed herein is a joint evaluation device and corresponding systems and methods for evaluating ligaments and other soft tissue connections between, for example, a tibia and a femur at a knee j oint. The joint evaluation device being arranged and configured to induce and measure forces while positions of the tibia and femur are monitored. Some embodiments use a computer assisted surgery device to track positions of the tibia and the femur, and may include a computing device configured to evaluate the forces measured between a first engagement portion and a second engagement portion of the joint evaluation device to output information related to the status of the ligament and other soft tissue connections prior to any bone resections being made to the tibia or the femur.

A computing system having at least one sensor, at least one processor, and at least one memory including a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the computing system to receive one or more surgical parameters associated with a ligament balancing of a patient's joint, receive real-time sensor data generated by the at least one sensor and indicative of at least one characteristic of the patient's joint, and apply machine learning to determine a next ligament balancing step of the ligament balancing of the patient's joint based on the one or more surgical parameters and the real-time sensor data, wherein the next ligament balancing step is a step of one or more steps intended to result in a target state of the patient's joint identified by the machine learning.

A medical system comprising a first medical device, a second medical device, and a computer. The first medical device is configured to be placed beneath the dermis. The first medical device comprises an enclosure comprising non-electrically conductive material. A cap couples to the enclosure and is configured to seal the enclosure. The enclosure houses electronic circuitry configured to measure one or more parameter or provide a therapy. The cap couples to the ground of the electronic circuitry. The first medical device includes a dual band antenna. A first antenna is configured to operate within a first frequency band below 1 gigahertz. The second antenna is configured to operate at a frequency above 1 gigahertz. The second medical device is configured to transmit a radio frequency signal to the first medical device. The first medical device is configured to harvest the energy received from the radio frequency signal to enable the electronic circuitry and perform at least one task.

A method for detecting biometric parameters includes the steps of performing a bone graft procedure on at least one vertebra of a spine, providing at least one biometric sensor at the at least one vertebra, the sensor measuring at least one parameter selected from the group consisting of pressure, tension, shear, relative position, and vascular flow in an adjacent surrounding, and measuring the at least one biometric parameter at the vertebra with the sensor.

A system and method of diagnosing tissue integrity related to a joint of a patient may include imaging a first bone of the joint of the patient, determining a bone density profile of the first bone based on results of the imaging step, comparing the bone density profile of the first bone to at least one reference bone density profile of a reference first bone, and predicting an integrity of a tissue with respect to the first bone based on the comparison. The first bone may be a tibia and the bone density profile of the tibia may include a bone density profile of a sulcus of a medial tibial condyle of the tibia. The tissue may be an anterior cruciate ligament (“ACL”) and the predicting step may include predicting the integrity of both an anteromedial bundle and a posterolateral bundle of the ACL.

An augmented neuromuscular training system and method for providing feedback to a user in order to reduce movement deficits associated with injury risk, prior injury or disease pathology.

A method for diagnosing a joint condition includes in one embodiment: creating a 3d model of the patient specific bone; registering the patient's bone with the bone model; tracking the motion of the patient specific bone through a range of motion; selecting a database including empirical mathematical descriptions of the motion of a plurality actual bones through ranges of motion; and comparing the motion of the patient specific bone to the database.

A surgical robot system includes a surgical robot having a robot base and a robot arm connected to the robot base. The surgical robot system further includes a joint manipulation arm configured to be attached to the robot arm and to be connected to an appendage of a patient and moved to apply force and/or torque to a joint connecting the appendage through movement of the robot arm. The surgical robot system further includes force and/or torque sensor apparatus configured to output a feedback signal providing an indication of an amount of force and/or torque that is being applied to the robot arm and/or the joint manipulation arm. At least one controller is configured to determine ligaments balancing at the joint based on a plurality of measurements of the feedback signal, and to output information characterizing the ligaments balancing.

A surgical robot system includes a surgical robot having a robot base and a robot arm connected to the robot base. The surgical robot system further includes a joint manipulation arm configured to be attached to the robot arm and to be connected to an appendage of a patient and moved to apply force and/or torque to a joint connecting the appendage through movement of the robot arm. The surgical robot system further includes force and/or torque sensor apparatus configured to output a feedback signal providing an indication of an amount of force and/or torque that is being applied to the robot arm and/or the joint manipulation arm. At least one controller is configured to determine ligaments balancing at the joint based on a plurality of measurements of the feedback signal, and to output information characterizing the ligaments balancing.