An assessment method for identifying tissue conditions and injuries includes supplying an excitation signal via a plurality of source electrodes into a plurality of anatomical segments of a patient and detecting characteristic signals resulting from a first impedance of a first segment. The first impedance is compared to baseline impedance or a bilateral impedance of a symmetric portion of the patient. Based on the comparison, a tissue condition may be assessed that may correspond to an injury or a response to overloading.

An end to end process is disclosed that includes an installation of a prosthetic component, a prosthetic joint, or repair a musculoskeletal system. The pathway of care comprises a pre-operative pathway of care, an intra-operative pathway of care, and a post-operative pathway of care. An application downloaded to a computer drives the process. The application can include integrated PROMS, pain scores, patient Q&A, surveys, a calendar of events (such as physical therapy visits), and contact to surgeon, doctor, or healthcare provider. The pathway of care is an end to end process utilizing wearable devices, implantable devices, sensorized equipment, and sensorized tools to generate measurement data that supports a pre-operative plan, surgery, and post-operative rehabilitation. The application couples to the devices disclosed herein above to engage the patient one or more tasks such that sensors on the devices generate measurement data. The process provides better patient care while allowing the surgeon, doctor, or healthcare provider to handle more patients.

Certain exemplary ultrasound probe method and/or apparatus embodiments are described, which can be used for 2D and/or 3D imaging soft tissue in an intra oral cavity.

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.

The terminal may include a touch panel including first electrodes arranged in a first direction and second electrodes arranged in the second direction intersecting the first direction, a display panel attached to the touch panel and to display an image, and a processor to control the touch panel and the display panel. In a measuring mode, the processor is configured to: apply a driving signal to the touch panel, the touch panel being configured to form an electric field and/or magnetic field when the driving signal is applied, and determine body composition of a user based on a sensing signal output from the touch panel in accordance with eddy current, the eddy current being induced to a body of the user by the electric field and/or magnetic field formed around the touch panel.

An end to end process is disclosed that includes an installation of a prosthetic component, a prosthetic joint, or repair a musculoskeletal system. The pathway of care comprises a pre-operative pathway of care, an intra-operative pathway of care, and a post-operative pathway of care. An application downloaded to a computer drives the process. The application can include integrated PROMS, pain scores, patient Q&A, surveys, a calendar of events (such as physical therapy visits), and contact to surgeon, doctor, or healthcare provider. The pathway of care is an end to end process utilizing wearable devices, implantable devices, sensorized equipment, and sensorized tools to generate measurement data that supports a pre-operative plan, surgery, and post-operative rehabilitation. The application couples to the devices disclosed herein above to engage the patient one or more tasks such that sensors on the devices generate measurement data. The process provides better patient care while allowing the surgeon, doctor, or healthcare provider to handle more patients.

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.

In one example, a sensor is configured to be implanted into a patient's body. The sensor has at least one sensing element, a measurement device in communication with the at least one sensing element, and an internal wireless communicator in communication with the measurement device. The at least one sensing element includes a resistor, and the measurement device includes a capacitor. The measurement device measures a discharge time of the capacitor through the resistor so as to generate a measurement value that is proportional to a value of an anatomical property of the anatomical body, such as strain, that is observed by the sensor. The internal wireless communicator wirelessly communicates the measurement value through skin of the patient to an external wireless communicator situated outside of the patient's body.

A method for implementing a musculoskeletal disorder prediction model, performed by a musculoskeletal disorder prediction model implementation apparatus. The method includes: acquiring a user image which performs a pre-registered musculoskeletal test motion; extracting a feature point of a body part which performs the musculoskeletal test motion from the user image by using a motion recognition model implemented in advance; determining a range of motion ROM of a musculoskeletal system corresponding to the body part based on a movement trajectory of the extracted feature point of the body part; extracting a reference feature point of a pre-registered musculoskeletal normal range of motion image; comparing the movement trajectory of the extracted feature point of the body part and a movement trajectory of the reference feature point; and matching and storing a comparison result of the determined range of motion and the movement trajectory.