Abstract: Systems and techniques may be used to determine what device to use to process data in an implanted sensor data processing system. An example technique may include determining, based on patient-specific information, whether to use a local machine learning model operable at a mobile device, or a remote machine learning model operable at a remote device to output a prediction generated using sensor data. The example technique may include, in accordance with a determination that the local machine learning model is to be used, predicting, at the mobile device, an outcome for the patient using the local machine learning model. The example technique may include, in accordance with a determination that the remote machine learning model is to be used, sending, from the mobile device, the compiled data to a remote computing device to generate a predicted outcome.

Abstract: Patient mobility assessments may be improved using an augmented reality patient assessment module. To reduce subjectivity of a mobility assessment, a depth camera may be used to determine precise patient motion, generate a skeletal model of the patient, and determine range of motion for various patient joints. An augmented reality head-mounted display may include a transparent display screen, and may be used to display the skeletal model overlaid on the patient while the patient is being viewed through the transparent display screen. A medical practitioner may guide the patient through a series of musculoskeletal evaluation activities, which may be used to generate the skeletal model of the patient and determine range of motion for various patient joints. The skeletal model and range of motion information may be used to generate a predicted postoperative skeletal model, which may indicate an improved range of motion based on a surgical procedure.

Abstract: Systems and methods for displaying augmented reality clinical movements may use an augmented reality device to display aspects of a clinical movement. The systems and methods may use a motion capture device to capture the clinical movement. A method may include analyzing information about the clinical movement to determine a path of motion representative of at least a portion of the clinical movement. The method may automatically define a path region or a virtual target in an augmented reality environment overlaid on a real environment. The method may display the path region or the virtual target on an augmented reality display.

Abstract: A system and method may be used to assess range of motion of a target body part. A method may include comparing reference range of motion capabilities of a body part that mirrors or matches the target body part (e.g., from a camera or a database) to captured range of motion capabilities of the target body part. The comparison may result in an assessment, a virtual animation, a virtual component, or other output, such as to be displayed on a display or an augmented reality display.

Abstract: A system and method may be used to assess range of motion of a target body part. A method may include comparing reference range of motion capabilities of a body part that mirrors or matches the target body part (e.g., from a camera or a database) to captured range of motion capabilities of the target body part. The comparison may result in an assessment, a virtual animation, a virtual component, or other output, such as to be displayed on a display or an augmented reality display.

Abstract: Systems and methods for displaying augmented reality clinical movements may use an augmented reality device to display aspects of a clinical movement. The systems and methods may use a motion capture device to capture the clinical movement. A method may include analyzing information about the clinical movement to determine a path of motion representative of at least a portion of the clinical movement. The method may automatically define a path region or a virtual target in an augmented reality environment overlaid on a real environment. The method may display the path region or the virtual target on an augmented reality display.

Abstract: Systems and methods for displaying augmented reality clinical movements may use an augmented reality device to display aspects of a clinical movement. The systems and methods may use a motion capture device to capture the clinical movement. A method may include analyzing information about the clinical movement to determine a path of motion representative of at least a portion of the clinical movement. The method may automatically define a path region or a virtual target in an augmented reality environment overlaid on a real environment. The method may display the path region or the virtual target on an augmented reality display.

Abstract: Systems and methods for displaying augmented reality clinical movements may use an augmented reality device to display aspects of a clinical movement. The systems and methods may use a motion capture device to capture the clinical movement. A method may include analyzing information about the clinical movement to determine a path of motion representative of at least a portion of the clinical movement. The method may automatically define a path region or a virtual target in an augmented reality environment overlaid on a real environment. The method may display the path region or the virtual target on an augmented reality display.

Abstract: A system and method may be used to assess range of motion of a target body part. A method may include comparing reference range of motion capabilities of a body part that mirrors or matches the target body part (e.g., from a camera or a database) to captured range of motion capabilities of the target body part. The comparison may result in an assessment, a virtual animation, a virtual component, or other output, such as to be displayed on a display or an augmented reality display.

Abstract: Systems and methods for displaying augmented reality clinical movements may use an augmented reality device to display aspects of a clinical movement. The systems and methods may use a motion capture device to capture the clinical movement. A method may include analyzing information about the clinical movement to determine a path of motion representative of at least a portion of the clinical movement. The method may automatically define a path region or a virtual target in an augmented reality environment overlaid on a real environment. The method may display the path region or the virtual target on an augmented reality display.

Abstract: Systems and methods for displaying augmented reality clinical movements may use an augmented reality device to display aspects of a clinical movement. The systems and methods may use a motion capture device to capture the clinical movement. A method may include analyzing information about the clinical movement to determine a path of motion representative of at least a portion of the clinical movement. The method may automatically define a path region or a virtual target in an augmented reality environment overlaid on a real environment. The method may display the path region or the virtual target on an augmented reality display.

Abstract: Embodiments of a system and method for evaluating or predicting therapy adherence are generally described herein. A system may include a display and a processor connected to the display to provide a user interface, including a calendar with a plurality of activities of a protocol. The plurality of activities may include exercises, education, questionnaires, etc., which may be presented on particular days or at particular times. Patient adherence to the protocol may be determined, and the display may provide information related to the patient adherence to a clinician. The display may provide a prediction about future patient adherence. The processor may, based on a determination about future patient adherence or past patient adherence, automatically modify the protocol. After the protocol is modified, the calendar may be updated and the display may show the updated calendar.