50results about "Musculoskeletal system evaluation" patented technology

The invention provides a musculoskeletal disease risk assessment and early warning method and system based on multi-source data, and relates to the technical field of assessment and early warning of muscles and skeletons. Joint angles, myoelectricity and plantar load data are collected, a joint feature vector sequence consistent in time sequence is constructed, the limitation of a traditional single monitoring means is effectively made up, and the risk assessment and early warning of musculoskeletal diseases is achieved. K-means clustering is carried out on a joint angle sequence to form a standard attitude set with physiological significance, and a transition edge weight based on angle change, muscle activation and load fluctuation weighted calculation is constructed, so that quantitative expression of physiological costs of different attitude transfer paths is realized, a risk transition region is conveniently identified, and the risk transition rate is improved. According to the method, the sudden transition behavior in the movement process can be captured by calculating the deviation between the predicted value and the true value of the latent variable, and effective early warning of the musculoskeletal disease risk is realized by combining the edge weight strength of the sudden transition behavior in the directed graph and considering the transition strength and the abnormal behavior degree at the same time.

The invention relates to a lower limb diagnosis training system, and belongs to the field of medical diagnosis and rehabilitation training. The system comprises a detection part used for collecting data information related to the lower limbs of a patient; and the control unit is used for analyzing and processing the data information so as to calculate and obtain a diagnosis result. The control unit can calculate a neural function index based on the electroneurographic signal parameters, calculate a joint activity index based on the joint activity, calculate a muscle strength index based on the muscle strength evaluation value, and further calculate an initial lower limb function comprehensive score; the initial lower limb function comprehensive score is used as an initial diagnosis result to output a control signal of a numerical range of a combination of traction forces in multiple directions, so that electromyographic signal parameters and blood flow parameters acquired by a detection part in real time in the training process of a patient can be used by a control unit for correcting the initial lower limb function comprehensive score; and obtaining a dynamic lower limb function comprehensive score for adjusting the specific numerical value of each traction force distribution.

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 invention provides a sports injury rehabilitation scheme generation method, system and device and a medium, and belongs to the field of sports injury medicine, and the method comprises the following steps: obtaining text data about sports injury, and constructing a sports injury knowledge graph according to the text data; the LTE-KGE is used as an encoder of the graph neural network, the hyperbolic embedding model MrpHKG is used as a decoder of a graph neural network model, and a rehabilitation assistance model LTE-MrpHKGE is obtained; according to the method, LTE-KGE is used for carrying out embedded representation on entities of a sports injury knowledge graph, a hyperbolic geometric space of a hyperbolic embedded model MrpHKG is used for capturing hierarchical structural features of the entities and the relations, reasoning is carried out according to the symptoms of a patient and the entities and the relations in the sports injury knowledge graph, the causes of injury are obtained, and the knowledge graph is used for predicting the symptoms of the patient. And analyzing a damage mechanism according to the damage reason and generating a rehabilitation scheme. According to the invention, the accuracy of rehabilitation scheme generation can be effectively improved.

Disclosed is an apparatus (system, apparatus, method, etc.) for refining a three-dimensional (3D) model, in particular a 3D model of an ivory column. An initial 3D model and a plurality of two-dimensional (2D) images corresponding to the 3D model are received or generated. The 3D model is refined using an edge boundary of a space around or between two or more objects in the 3D model identified from the 2D image.

At least partial function of a human limb is restored by surgically removing at least a portion of an injured or diseased human limb from a surgical site of an individual and transplanting a selected muscle into the remaining biological body of the individual, followed by contacting the transplanted selected muscle, or an associated nerve, with an electrode, to thereby control a device, such as a prosthetic limb, linked to the electrode. Simulating proprioceptive sensory feedback from a device includes mechanically linking at least one pair of agonist and antagonist muscles, wherein a nerve innervates each muscle, and supporting each pair with a support, whereby contraction of the agonist muscle of each pair will cause extension of the paired antagonist muscle. An electrode is implanted in a muscle of each pair and electrically connected to a motor controller of the device, thereby simulating proprioceptive sensory feedback from the device.

Methods and devices for magnetic resonance imaging (MRI) and, more particularly, to a method and apparatus that is able to apply a mechanical load to the human knee in vivo within an MRI environment, and when combined with inverse constitutive modeling, enables the measurement of cartilage structure and mechanical function.

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.

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.

The invention relates to the technical field of hand postoperative recovery, in particular to a hand nursing device applied to postoperative recovery and a nursing method thereof.The hand nursing device comprises a wrist mounting sleeve mounted on the wrist of a patient, and an external adjusting sleeve used for controlling fingers is elastically assembled on the outer side face of the wrist mounting sleeve 1 through a lateral assembling frame. According to the hand nursing device applied to postoperative recovery, the wrist of a patient is directly sleeved with the hand nursing device, the portability is greatly improved, and meanwhile operation in all places is facilitated; the palm and the wrist of the patient are adopted to fix the equipment, so that the stability of the equipment during operation can be improved; the external adjusting sleeve is assembled and adjusted through the lateral assembling frames located on the two sides of the fingers, the fingers can be conveniently placed, and bending of the fingers is not affected.

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.

A method for intraoperative condition analysis and classification of joint tissue, comprising the steps of sensing data of the joint tissue via a plurality of sensors mounted in proximity to the joint tissue to detect stimulus responses, determining condition analysis and classification information through a matching means, processing the sensed data into a form adapted to be evaluated against a comparator, utilizing a historical data set of the processed information to generate a means for predicting condition analysis and classification, and using the generated means to perform condition analysis and classification based on processing of stimulus responses obtained intraoperatively.

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.

A method for modeling soft tissue includes receiving one or more images showing an anatomical geometry of a first subject. The anatomical geometry includes a soft tissue. The method also includes measuring a plurality of parameters of the anatomical geometry of the first subject using one or more sensors attached to the first subject. The method also includes receiving a first set of material properties for the soft tissue of the first subject, a second subject, or both. The method also includes identifying a second set of material properties that characterizes the soft tissue while the first subject performs a task. The method also includes determining a strain on the soft tissue, a stress on the soft tissue, or both based at least partially upon the one or more images, the parameters, the first set of material properties, and the second set of material properties.

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.

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 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 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, behavior features, and body composition data. The various features may be extracted from the video data using different techniques. The various features may be processed using one or more machine learning models to determine the visual frailty score.

The present invention relates to a lower limb diagnosis and training system, belonging to the field of medical diagnosis and rehabilitation training. The system comprises: a detection unit, which is used to collect data information related to the patient's lower limbs; and a control unit, which is used to analyze and process the data information to calculate the diagnosis result. The control unit can calculate the nerve function index based on the nerve electrical signal parameters, the joint mobility index based on the joint mobility, and the muscle strength index based on the muscle strength evaluation value, and then calculate the initial lower limb function comprehensive score, and use the initial lower limb function comprehensive score as the initial diagnosis result to output a control signal of the numerical range of the combination of pulling forces in multiple directions, so that the electromyographic signal parameters and blood flow parameters obtained by the detection unit in real time during the training process of the patient can be used by the control unit to correct the initial lower limb function comprehensive score, so as to obtain a dynamic lower limb function comprehensive score for adjusting the specific numerical values ​​of each pulling force distribution.

The invention provides a body forward flexion tester based on a photoelectric encoder and electromagnet reset. The body forward flexion tester comprises a tester shell, the photoelectric encoder, a control module, a reset module, a display module and a power supply module, a slide rail is arranged on the surface of the tester shell and comprises an initial position and a final position; a sliding block is arranged on the sliding rail, and the photoelectric encoder is connected with the sliding block and moves along with the sliding block. The control module is connected with the photoelectric encoder, reads a signal output by the photoelectric encoder, obtains the movement track of the sliding block and calculates a displacement value; the reset module comprises an electromagnet and a limit switch, the electromagnet is electrified to generate attraction to promote the sliding block to return to the initial position, and when the limit switch detects that the sliding block returns to the initial position, the control module closes the electromagnet current; the display module is electrically connected with the control module and is used for displaying real-time displacement data of the sliding block and a final test result; the power supply module is used for supplying power to the whole tester.

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.

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 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.

To provide an intellectual tissue classifier for bone and soft tissue.SOLUTION: A method for an intraoperative state analysis and classification of a joint tissue includes: a step for sensing data of the joint tissue via a plurality of sensors installed in proximity to the joint tissue so as to detect a response to a stimulus; a step for determining a state analysis and classification information through collation means; a step for processing the sensed data in a format adapted so as to be assessed against a comparator; a step for using a history data set of the processed information and generating means that predicts the state analysis and classification; and a step for using the generated means to perform the state analysis and classification on the basis of processing of a stimulus response acquired during the operation.SELECTED DRAWING: None

A method for differentiating between tissue states or types including receiving a sequence of thermal data of a tissue, wherein the sequence is sampled at at least one location of the tissue while the tissue is being thermally disturbed, deriving from the thermal data at least one tissue-related thermal variable associated with each of the tissue locations, segmenting the tissue into segments comprising the locations having corresponding the at least one thermal variable and generating an output indicating the tissue segments. The disclosure also includes a system and computer product for differentiating between tissue states or types.

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.