Disclosed herein are implants with sensors and methods for powering implants with sensors. A joint implant according to the present disclosure can include a first implant and a second implant in contact with the first implant. The first implant can be coupled to a first bone of a joint. The first implant can include an energy generator coupled to a transducer. The second implant can include at least one sensor, a battery coupled to the at least one sensor, and a receiver coupled to the battery. The receiver can be disposed within the second implant adjacent the transducer. Energy from the energy generator can be transmitted from the transducer of the first implant to the receiver of the second implant.

Disclosed herein are joint implants and methods for intra-operatively detecting joint implant gap. A method for detecting a joint implant gap may include coupling a first implant to a first bone of a joint, coupling a second implant to a second bone of the joint, measuring an amplitude of a magnetic flux density using a magnetic sensor to determine a gap between the first and second implants. The first implant may include at least one magnetic marker. The second implant may be configured to contact the first implant. The second implant may include at least one magnetic sensor to detect the magnetic flux density of the magnetic marker. The gap between the first and second implant may be intra-operatively determined using the measured amplitude of the magnetic flux density.

Disclosed herein are joint implants and methods for tracking joint implant performance. A joint implant according to the present disclosure can include a first implant on a first bone and a second implant on a second bone of a joint. The first implant can include medial and lateral markers. The second implant can include a medial marker reader to identify the medial markers and a lateral marker reader to identify the lateral markers to provide positional data of the first implant with respect to the second implant. The second implant can include a medial load sensor to measure medial load data and a lateral load sensor to measure lateral load data. A processor coupled to the medial marker reader, the lateral marker reader, the medial load sensor, and the lateral load sensor can transmit the positional data, the medial and lateral load data to an external source.

A system for measuring an angle of a joint of a user includes a center hub, a first arm, a second arm, a magnet, and a sensor. The center hub includes a first hub and a second hub. The first arm is configured for attachment to a first limb portion of the user at a first outer end and to the first hub at a first inner end. The second arm is configured for attachment to a second limb portion of the user at a second outer end and to the second hub at a second inner end, wherein the first hub is pivotally coupled to the second hub. The magnet is coupled to the second hub. The sensor is disposed in the center hub and configured to detect a rotation of the magnet.

Disclosed is a wearable physical therapy data collection system. The system includes a wearable support having a waistband and at least one motion detector assembly. The motion detector assembly includes a femoral strut extending between a superior end and an inferior end; a polyaxial connection between the superior end and the waistband; and hip sensors in motion sensing communication with the polyaxial connection, configured to capture data reflecting movement of the femur with respect to the hip in the medial—lateral direction, anterior—posterior direction and rotation of the femur. A tibial strut may extend between the inferior end and a polyaxial connection to a foot attachment. Sensors may be provided to capture data reflecting tibial rotation, and flexion, extension, rotation and pronation of the foot. Separate left and right motion detectors enable collection of bilateral data, to identify bilateral imbalances and monitor rehabilitation progress.

A data processing method for determining a range of motion of an artificial knee joint which connects a femur and a tibia via a medial ligament and a lateral ligament, wherein at least the femur comprises an implant which forms a medial condyle and a lateral condyle, the method comprising the steps of: acquiring the maximum lengths of the lateral ligament and the medial ligament for a particular flexion angle of the knee joint; calculating a first virtual position between the femur and the tibia in which the lateral condyle of the femoral implant touches the tibia and the medial ligament is stretched to its maximum length; calculating a maximum valgus angle of the range of motion from the first virtual position; calculating a second virtual position between the femur and the tibia in which the medial condyle of the femoral implant touches the tibia and the lateral ligament is stretched to its maximum length; and calculating a maximum yarns angle of the range of motion from the second virtual position.

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 system that includes: a force sensor assembly adapted to monitor a load as applied on a subject's knee joint when the force sensor assembly remains in direct contact with the subject's lower extremity and the load is monitored from inside a main magnet of an MRI scanner; a mobile unit comprising tracks configured to adjust a position of the force sensor assembly; a stationary base on which the mobile unit and the force sensor assembly are located, the mobile unit translatable solely axially on the stationary base; and a processor coupled to the force sensor assembly and programmed to read information encoding the load being monitored by the force sensor assembly, wherein an MRI scan of the knee joint is initiated only when a pre-determined load has been applied to the subject's knee joint for a pre-determined period of time.

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 system for monitoring a joint of a patient is described. The system includes at least one sensor configured to be coupled near the joint of the patient, the at least one sensor configured to sense one or more measurements of the joint. The system also includes a computing device comprising a digital processing device configured to receive the one or more measurements, determine one or more joint parameters based on the one or more measurements, generate a user interface for display, the user interface including a graphical representation of the one or more joint parameters. The digital processing device is also configured to compare the one or more joint parameters to a predetermined threshold and generate an icon for display within the user interface. The icon being generated in response to one of the one or more joint parameters exceeding the predetermined threshold.