Systems and methods for monitoring acute:chronic workload ratio (ACWR) are described. An indicator of workload is received from a device worn or carried by a user. An acute workload is determined for the user based on the received indicator of workload over a first period of time. A chronic workload is determined for the user based on the received indicator of workload over a second period of time, where the first period of time is shorter than the second period of time. A current ACWR is determined for the user based on the acute workload and the chronic workload.

A processing device, program, method, and processing system are provided which can be more simply used by a user when estimating a condition during exercise or assisting estimation. The processing device comprises: an input/output interface configured to receive an acceleration rate detected, in a wired or wireless manner, from a sensor which is attached to or around the knee of a leg of a person and is for detecting at least the acceleration rate of the person during exercise; a memory configured to store the received acceleration rate in addition to a predetermined instruction command; and a processor configured to perform processing for estimating the condition of the knee joint of the person during exercise on the basis of the acceleration rate by executing the predetermined instruction command stored in the memory.

A joint replacement balancing system which provides real-time feedback to a surgeon during a joint replacement surgery to assist the surgeon to balance a joint replacement. The joint replacement balancing system includes a non-transitory processor-readable medium storing code representing instructions to cause a processor to receive a signal from a joint balancing apparatus, determine if the joint replacement is out of balance, determine a corrective course of action to bring the joint into balance and generate and display to the surgeon during the joint replacement surgery a recommended corrective course of action to complete the joint replacement surgery.

Method for detecting biomechanical and functional parameters of the knee in a situation of performance stress, which comprises: a step for the set up of video recording means (1); a step for the set up of multiple optical markers (4) at specific landmark anatomic points (PA) of the foot and of the knee of a person; a step for the set up, at the plantar surface of the foot, of baropodometric means (5); a step for the acquisition, by means of the video recording means (1), of images of at least one reference action, and a step for the detection, by means of the baropodometric means (5), of baropodometric parameters; a step for calculating, from the baropodometric parameters, the coordinates of the center of pressure (COP) of the foot and of the constraining reaction force (FV) acting on the foot; a step for calculating a force arm (BF) given by the distance between the center of pressure (COP) and a reference point (PR) of the knee; a step for calculating a biomechanical parameter indicative of the valgus moment, derived from the vector product (PV) of the force arm (BF) and the constraining reaction force (FV).

A method for calibrating respective estimated joint axis directions for each of a pair of body mounted sensors, one of the pair of sensors being located to each side of the joint comprising a joint axis, the sensors each calculating a pitch angle about respective first sensor axes and a roll angle about respective second sensor axes, the first and second sensor axes together with a third sensor axis orthogonal to the first and second sensor axes forming a sensor frame, the method comprising: receiving orientation data for each of the two sensors, the orientation data being associated with at least two different poses of the joint for each of the two sensors and the orientation data comprising the pitch angle and the roll angle of the sensor for each pose; calculating a sensor frame estimated gravity vector for each pose associated with each sensor based on the pitch and roll angles for each pose associated with each sensor and a gravity vector running along a vertical direction; and determining the estimated joint axis directions for the joint axis, relative to the first and second sensor axes, for each sensor that minimise a loss function concerning projections of each sensor frame estimated gravity vector for each pose associated with each sensor on to the estimated joint axis direction for the respective sensor.

Computing devices, wearable devices, networked environments, and methods for bio-signal acquisition and monitoring skeletomuscular parameters are provided. First data indicative of movement parameters of knee joint of a patient for a test type is obtained from a wearable device. Second data indicative patient-specific parameters of the patient are obtained. A cluster to which the patient belongs is identified based on the patient-specific parameters and a prediction model. A normative range for the test type for the cluster is determined. The first data is processed to determine whether the patient falls within the normative range of the cluster and result is provided.

Knee joint laxity testing apparatus configured to measure knee laxity in three planes of motion includes a foot and ankle stabilization assembly including a foot plate, a heel clamp and a tibial clamp for securing a foot and an ankle of a person, an anterior-posterior (AP) loading assembly configured to apply an anterior/posterior loading on a knee of the person, and a thigh stabilization assembly including a proximal thigh fixation module and a distal thigh fixation module. The proximal thigh fixation module includes a thigh cradle and a pair of clamping arms for securing a thigh positioned on the thigh cradle. Each clamping arm is pivotable about a hinge. The distal thigh fixation module is operable to firmly hold a distal portion of a thigh of the person in place while a leg of the person is manipulated.

An orthopedic system to monitor a parameter related to the muscular-skeletal system is disclosed. The orthopedic system includes electronic circuitry, at least one sensor, and a computer to receive measurement data in real-time. The orthopedic system comprises a first plurality of shims of a first type, a second plurality of a second type, a measurement module, and the computer. The measurement module houses the electronic circuitry and at least one sensor. The measurement module is adapted to be used with the first plurality of shims and the second plurality of shims. The measurement module has a medial surface that differs from a lateral surface by shape, size, or contour.

Systems, devices, and methods are disclosed for the purpose of quantitatively determining the susceptibility of a human subject to injure their Anterior Cruciate Ligament (ACL). A method for determining injury susceptibility scores or risk categories includes determining hip extension angles and knee varus angles during the performance of a stork test and determining hip abduction angles during a squat test. Determination of angles during certain movements may be achieved using various systems and devices, including wearable devices.

A method of evaluating a joint includes obtaining test data indicative of movement of the joint during a test of the joint, generating visualization data for a three-dimensional representation of the joint to be rendered via a display, generating plane data for a representation of a plane to be rendered via the display with the three-dimensional representation of the joint, the plane having a position and an orientation fixed relative to a bone of the joint, adjusting the visualization data to animate the three-dimensional representation to depict, via the display, the movement of the joint during the test, and adjusting the plane data to update the position and the orientation of the plane in accordance with the movement of the joint.