The present invention relates generally to the field of orthopedics, and more particularly to a pelvic referencing guide and methods of using the guide in orthopaedic surgery, specifically total hip arthroplasty.

In a method for alpha angle measurements of a bone joint based on magnetic resonance imaging (MRI) data of the bone joint, a three-dimensional (3D) bone surface image of the bone joint is generated based on two-dimensional (2D) segmentations on radial plane slices of the bone joint. Based on the 3D bone surface image, a head center of a head of the bone joint and a neck axis of a neck of the bone joint are estimated. An alpha angle model is constructed based on the estimated head center and neck axis. Further, the alpha angle measurement is determined for each of the radial plane slices of the bone joint based on the constructed alpha angle model.

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 medical implant includes a sensor that detects electromagnetic waves; and a data transmission unit that can wirelessly transmit data supplied by the sensor to a receiving unit.

A system and method for calculating a flip angle schedule is provided. The technique includes selecting an initial condition, providing a function for calculating flip angles, calculating flip angles, assessing the flip angles, and repeating the calculation of the flip angles by adjusting the function until a desired flip angle schedule is obtained.

Provided is a pelvic inclination estimation device including a communication unit that acquires feature amount data including a feature amount to be used for estimation of a pelvic inclination, the feature amount being extracted from a gait waveform of a spatial acceleration and a spatial angular velocity included in sensor data related to movement of a foot of a subject, a storage unit that stores an estimation model that outputs an estimation value related to the pelvic inclination according to an input of the feature amount included in the feature amount data, an estimation unit that inputs a feature amount included in the acquired feature amount data to the estimation model and estimate a pelvic inclination of the subject according to the estimation value output from the estimation model, and an output unit that outputs information associated to the pelvic inclination of the subject.

Apparatus, system, and method are disclosed herein for controlling movement of an artificial orthopedic joint prosthesis in a mammalian subject. The apparatus, system, or method includes an orthopedic brace configured to control movement of an orthopedic joint prosthesis. The apparatus, system, or method includes one or more sensors and one or more controllers in communication with the one or more sensors. The one or more sensors are configured to detect a change in an orientation of a subject's position in an environment and configured to detect one or more alignment orientations of the orthopedic joint prosthesis.

There is provided a method of indirectly estimating muscle strength ratio, comprising: receiving images and associated body part locations of a target individual, wherein the images depict the target individual performing a first and a second defined movement, identifying first image(s) depicting the first defined movement, and obtaining an associated first set of body part locations, identifying second image(s) depicting the second defined movement, and obtaining an associated second set of body part locations, computing a first image-metric according to the first set of body part locations, computing a second image-metric according to the second set of body part locations, computing an image-parameter according to the first and second image-metrics, and converting the image-parameter to an estimate of a measured-parameter indicative of strength measurement ratio of the target muscle(s) obtained by a dynamometer, according to correlation between image-parameters and measured-parameters obtained based on the dynamometer performing empirical measurements.

A system is disclosed herein for providing a kinetic assessment and preparation of a prosthetic joint comprising one or more prosthetic components. The system comprises a prosthetic component including sensors and circuitry configured to measure load, position of load, and joint alignment. The system further includes a remote system for receiving, processing, and displaying quantitative measurements from the sensors. The kinetic assessment measures joint alignment under loading that will be similar to that of a final joint installation. The kinetic assessment can use trial or permanent prosthetic components. Furthermore, adjustments can be made to the applied load magnitude, position of load, and joint alignment by various means to fine-tune an installation. The kinetic assessment increases both performance and reliability of the installed joint by reducing error that is introduced by elements that load or modify the joint dynamics not taken into account by prior assessment methods.

Provided is a pelvic inclination estimation device including a communication unit that acquires feature amount data including a feature amount to be used for estimation of a pelvic inclination, the feature amount being extracted from a gait waveform of a spatial acceleration and a spatial angular velocity included in sensor data related to movement of a foot of a subject, a storage unit that stores an estimation model that outputs an estimation value related to the pelvic inclination according to an input of the feature amount included in the feature amount data, an estimation unit that inputs a feature amount included in the acquired feature amount data to the estimation model and estimate a pelvic inclination of the subject according to the estimation value output from the estimation model, and an output unit that outputs information associated to the pelvic inclination of the subject.