19results about "Musculoskeletal system evaluation" patented technology

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.

A method for recommending a dietary supplement and providing weight-loss exercise and meal schedules may comprise the steps of: acquiring customer data including body composition measurement data and physical constitution test data; acquiring service data including dietary supplement data and exercise and meal schedule data; inputting the customer data and the service data to a tagging artificial intelligence model so as to acquire a keyword for the customer data and a keyword for the service data, respectively, from the tagging artificial intelligence model; inputting the keyword of the customer data and the keyword of the service data to an association analysis artificial intelligence model so as to acquire the service data matching the customer data; and on the basis of the service data matching the customer data, recommending a dietary supplement and providing weight-loss exercise and meal schedules for each customer.

An apparatus (system, device, method, and the like) is disclosed for refining a three-dimensional (3D) model, particularly 3D models of a subject’s dentition. An initial 3D model is received or generated along with a plurality of two-dimensional (2D) images corresponding to the 3D model. The 3D model is refined using edge boundaries of a space around or between two or more objects of the 3D model identified from the 2D images.

A method for modeling soft tissue includes receiving one or more images depicting an anatomical geometry of a first object. The anatomical geometry includes soft tissue. The method also includes measuring a plurality of parameters of the anatomical geometry of the first object using one or more sensors attached to the first object. The method also includes receiving a first set of material properties for soft tissue of the first object, the second object, or both. The method also includes identifying a second set of material properties characterizing the soft tissue while the first subject is performing a task. The method also includes determining a strain on the soft tissue, a stress on the soft tissue, or both based at least in part on the one or more images, the parameters, the first set of material properties, and the second set of material properties.

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.

The application provides a kind of muscle and skeleton disease risk assessment and early warning method and system based on multi-source data, it is related to muscle, skeleton assessment and early warning technical field, the application is by collecting joint angle, electromyography and foot bottom load data, constructs time sequence consistent joint feature vector sequence, effectively make up the limitation of traditional single monitoring means, by K means clustering to joint angle sequence, form standard posture set with physiological significance, and construct transition edge weight based on angle change, muscle activation and load fluctuation weighted calculation, realize the physiological cost quantization expression of different posture transfer path, it is convenient to identify risk transition area, by calculating the deviation between latent variable prediction value and true value, sudden transition behavior in the movement process can be captured, and combined with its edge weight intensity in directed graph, by considering transition intensity and behavior abnormality degree simultaneously, the muscle and skeleton disease risk is effectively warned.

A method for providing a user-customized service based on at least one of a musculoskeletal system or a nervous system comprises the steps of: receiving state information about a user; determining one or more musculoskeletal examination items on the basis of the received state information about the user; outputting the one or more determined musculoskeletal examination items; receiving, for each of the one or more output musculoskeletal examination items, one or more images including at least one of the user's posture or motion; receiving meta information about examination equipment for capturing the one or more images; and analyzing the user's state information, the one or more images, and the meta information by using a first machine learning model, and outputting a customized result for the user.

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.

An apparatus (system, device, method, and the like) is disclosed for refining a three-dimensional (3D) model, particularly 3D models of a subject's dentition. An initial 3D model is received or generated along with a plurality of two-dimensional (2D) images corresponding to the 3D model. The 3D model is refined using edge boundaries of a space around or between two or more objects of the 3D model identified from the 2D images.

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.

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.

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.

Provided herein are systems and methods for creating and measuring digital biomarkers for knee and / or hip osteoarthritis, as well as systems and methods for using such biomarkers in the diagnosis, monitoring, and treatment of knee and / or hip osteoarthritis. In particular aspects, the systems and methods involve using at least one primary device comprising one or more capacitor-pressure sensors configured to generate raw gait data, and a remote processing device configured to generate one or more gait parameters for an individual based on the gait data, and apply one or more trained machine learning models to the gait parameters. In further aspects, systems and methods for training said machine learning models configured to generate a digital biomarker are also disclosed.

The systems and methods described herein provide techniques for determining a visual frailty score by processing video data of a subject. Various features may be used to determine the visual frailty score, including, but not limited to, spinal mobility features, gait measurements, behavioral features, and body composition data. The various features may be extracted from the video data using different techniques. One or more machine learning models may be used to process the various features to determine the visual frailty score.

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.

The invention provides a non-inductive detection method and system for a neck health state, and belongs to the technical field of sensor detection. The method comprises the following steps: collecting neck activity signals under different postures through a neck sensor and carrying out denoising processing; analyzing the relationship between the material softness, the fitting area and the signal fluctuation, determining the influence weight of the material elasticity coefficient on the signal stability, and optimizing the material configuration based on the weight; dynamic activity data are tested under optimal configuration, the influence of sensor embedding depth and contact pressure on signal delay is analyzed, the comfort degree is evaluated, and the matching relation between signals and the comfort degree is established; in the continuous monitoring process, the environment temperature and sensor weight distribution are combined, the deviation between real-time data and feature distribution is calculated, and the material thickness and tensile parameters are adjusted to meet the long-term monitoring requirement; and finally, generating a non-inductive detection protocol aiming at the tiny posture change. According to the invention, long-term, stable and non-inductive dynamic monitoring of the health state of the neck is realized on the premise of ensuring comfort.

The apparatus for expecting spatiotemporal gait factor according to an embodiment includes one or more processors; and a memory storing an instruction performed by the processors, in which the processors are configured to input one or more real-time image frames, in which a gait of a subject is captured, to a first model to extract image features of the real-time image frames, input the image features to a second model to extract temporal features of the real-time image frames, input the image features and the temporal features to a third model to extract spatial features of the real-time image frames, input the temporal features to a fourth model to output a probability distribution of gait events, predict a temporal factor of the gait based on the probability distribution of the gait events, and predict a spatial factor of the gait based on the spatial features.

A measurement terminal and a control method thereof are provided. The terminal includes a touch panel including first electrodes arranged in a first direction and second electrodes arranged in a second direction intersecting the first direction, a display panel attached to the touch panel and displaying an image, and a processor for controlling the touch panel and the display panel. In a measurement mode, the processor is configured to apply a driving signal to the touch panel configured to form an electric field and / or a magnetic field when the driving signal is applied, and determine a body composition of a user based on a sensing signal output from the touch panel according to an eddy current induced to the user's body by the electric field and / or the magnetic field formed around the touch panel.