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.

Systems and methods are disclosed that facilitate providing guidance to a user during performance of a program or routine using a personalized avatar. In an aspect, a system includes a reception component configured to receive biochemical information about a physiological state or condition of a user, including information identifying a presence or a status of one or more biomarkers. The system further includes an analysis component configured to determine or infer one or more characteristics of the physiological state or condition of the user based on the information identifying the presence or the status of the one or more biomarkers, and a visualization component configured to adapt an appearance of an avatar presented to the user based on the one or more characteristics to reflect the one or more characteristics.

A sensing and stimulation system includes a central hub, and a plurality of flexible arms extending from the central hub. Each of the arms includes at least one electrode and at least one sensor. Each of the arms is configured to perform sensing and stimulation including electrically stimulating biological material, and sensing biological responses and changes. The system includes a port configured to be alternatively connected to a remote control module for wireless operation of the system and a leaded connector for wired operation of the system.

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.

Systems and method for use in diagnosing a medical condition of a patient are provided. The method includes providing medical condition information, receiving patient data relating to the medical condition information, comparing the received data to a baseline, and determining, by a computing device including a processor, a class of patient based on the received patient data.

Systems and methods are disclosed that facilitate providing guidance to a user during performance of a program or routine using a personalized avatar. In an aspect, a system includes a reception component configured to receive biochemical information about a physiological state or condition of a user, including information identifying a presence or a status of one or more biomarkers. The system further includes an analysis component configured to determine or infer one or more characteristics of the physiological state or condition of the user based on the information identifying the presence or the status of the one or more biomarkers, and a visualization component configured to adapt an appearance of an avatar presented to the user based on the one or more characteristics to reflect the one or more characteristics.

Systems and methods are disclosed that facilitate providing guidance to a user during performance of a program or routine using a personalized avatar. In an aspect, a system includes a reception component configured to receive biochemical information about a physiological state or condition of a user, including information identifying a presence or a status of one or more biomarkers. The system further includes an analysis component configured to determine or infer one or more characteristics of the physiological state or condition of the user based on the information identifying the presence or the status of the one or more biomarkers, and a visualization component configured to adapt an appearance of an avatar presented to the user based on the one or more characteristics to reflect the one or more characteristics.

A method for stimulating contraction of a target muscle, the method including: locating a first neuromuscular junction of a target muscle by visualization or palpation, delivering a first stimulus to the first neuromuscular junction, locating a second neuromuscular junction of the target muscle by visualization or palpation, and delivering a second stimulus to the second neuromuscular junction. The first and second stimuli are effective to stimulate contraction of the target muscle. Further, contraction of the target muscle is effective to result in a measurable increase of at least one of: output force of the target muscle or range of motion of a body part associated with extension or contraction of the target muscle.

A neuromuscular, physiological, biomechanical, or musculoskeletal activity monitoring system for a subject is provided. The system includes a wearable inertial measurement unit including at least one accelerometer and/or at least one gyroscope. The system also includes a controller in communication with an output component. The controller is configured to: receive and process information from the inertial measurement unit representative of one or more physical actions performed by the subject; generate an inertial data set for the one or more physical actions based on the received and processed information; compare the generated inertial data set to reference data stored on computer readable memory in communication with the controller; and cause the output component to provide feedback including predictive injury information. The predictive injury information is based, at least in part, on the comparison between the generated data set and the reference data.

A method can include receiving (1) images of at least one subject and (2) at least one total mass value for the at least one subject. The method can further include executing a first machine learning model to identify joints of the at least one subject. The method can further include executing a second machine learning model to determine limbs of the at least one subject based on the joints and the images. The method can further include generating three-dimensional (3D) representations of a skeleton based on the joints and the limbs. The method can further include determining a torque value for each limb, based on at least one of a mass value and a linear acceleration value, or a torque inertia and an angular acceleration value. The method can further include generating a risk assessment report based on at least one torque value being above a predetermined threshold.