This disclosure relates to systems for assisting surgeons in implanting joint replacement implant components. One aspect provides a system for assisting a surgeon in implanting a joint replacement implant component during a surgery of replacing a joint. The system comprises: an instrument for medullary canal preparation; a video camera to capture image data of the instrument; a computer system to: store a surgical plan; determine a pose of the instrument relative to the bone or the joint based on the image data from the video camera; assess the pose of the instrument against the surgical plan; and provide an indication to the surgeon of a clinical consequence of the pose in relation to the surgical plan.

A System for Measuring Body Kinetics includes a wearable device configured to be wrapped around a joint. A microprocessor is attached to the wearable device, One or more Inertial Measurement. Units (IMUS) are connected to the microprocessor and arranged on the wearable device. The IMUS are arranged and configured to provide kinetic data concerning the joint to the microprocessor. A wireless transmission component is connected to the microprocessor. The microprocessor is configured to receive kinetic data from the IMUs, and to transmit the kinetic data by way of the wireless transmission component to a central processor or other device. An algorithm resides within the microprocessor or the central processor or other device, and is configured to determine the position of each IMU from the kinetic data. The wearable device may be constructed of fabric, strap, adhesive tape, or a combination thereof.

Systems and methods for estimating anatomic alignment between two or more bones are described herein. An example method can include registering an anatomic reference frame. Additionally, the method can include establishing a respective rotational relationship between each of one or more bones and an orientation sensor attached to each of the one or more bones. The method can also include receiving, from each of the orientation sensors, orientation information, and then calculating an orientation of a bone relative to the anatomic reference frame. The method can further include calculating, using the respective orientations of the bones relative to the anatomic reference frame, an anatomic alignment parameter between first and second bones.

In one embodiment, the present disclosure relates to a method of evaluating soft tissue tension surrounding a hip of a patient using navigation and software to track positions of the femur and a pelvis of the patient in real time. The method begins with intra-operative reduction of a femoral implant into an acetabulum of a patient and retrieval of first coordinates of a femoral head center of the femoral implant when the femoral implant is in a reduced position. Performance of a shuck test follows where the femur is distracted relative to the acetabulum. Retrieval of second coordinates of the femoral head center occurs when the femoral implant is distracted from the acetabulum, and a difference between the first coordinates and the second coordinates in a coronal plane is used to determine a shuck length vector.

A method of evaluating a human knee joint including a femur bone, a tibia bone, and ligaments. The method includes: inserting into the joint a tensioner-balancer that includes at least one force sensor; providing an electronic receiving device; moving the knee joint through at least a portion of its range of motion; using the electronic receiving device to collect data from the at least one force sensor; processing the collected force data to produce a digital geometric model of the knee joint, wherein the data includes: a medial spline representing a locus of points of contact of a medial condyle of the femur F with the tensioner-balancer, over a range of knee flexion angles; and a lateral spline representing the locus of points of contact of the femur F with the tensioner-balancer, over a range of knee flexion angles; and storing the digital geometric model for further use.

The present disclosure provides methods of identifying a loosened joint implant by analyzing acoustic emissions from the implant. The present disclosure further provides apparatuses for measuring acoustic data and analyzing acoustic emissions from a joint implant.

Presented are methods and systems for determining, monitoring, and displaying the relative positioning of two rigid bodies such as during a surgery. In particular, the present disclosure relates to methods and systems for positioning a prosthesis relative to a bone during a surgery as well as to systems and methods for verifying resulting relative positioning of adjacent bones.

A method of preparing an interpositional implant suitable for a knee. The method includes determining a three-dimensional shape of a tibial surface of the knee. An implant is produced having a superior surface and an inferior surface, with the superior surface adapted to be positioned against a femoral condyle of the knee, and the inferior surface adapted to be positioned upon the tibial surface of the knee. The inferior surface conforms to the three-dimensional shape of the tibial surface. The implant may be inserted into the knee without making surgical cuts on the tibial surface. The tibial surface may include cartilage, or cartilage and bone.

Apparatus and methods are described for setting rehabilitation goals for a patient, measuring patient movements, storing the movement data for later transfer to a computer, displaying progress indicators and inspirational messages based on progress towards goals, reporting movement, skin temperature and swelling data to a caregiver so that they monitor compliance and be aware of potential infection. The invention consolidates data from motion, temperature and swelling sensors placed on the patient with data received directly from the patient in response to questions displayed on a tablet computer screen, to create one or more representative values indicating the patient's current status. These representative values may include the patient's degree of compliance with their prescribed exercise and icing regimen; their degree of wellness based on their self-reported pain scale and sensed temperature and limb swelling; and their current level of physical activity as detected by the motion sensors.

EMG training systems, devices and methods are disclosed. In an approach, a computing device may receive a first input and a second input. The first input may be from an EMG device, such as the NeuroLife® sleeve provided by Battelle. A second input may be from a joint position capturing device. The computing device may create a mapping between the first input and the second input and then train a decoding algorithm based on the mapping. The decoding algorithm may be used to determine a position of the EMG device based on input received from the EMG device.