2898 results about "Skeletal bone" patented technology

The invention relates to the field of medical robots, and discloses a meridian point foundation construction method for precise positioning of an acupuncture robot, which comprises the following steps: scanning skin texture, muscle contour and skeleton mark features of a human body surface, and establishing a human body surface feature digital model; the method comprises the following steps: acquiring temperature distribution data of a human body surface, human body surface feature digital model data and elastic modulus data, performing weight mapping feature level fusion to generate an enhanced acupuncture point feature map, and establishing an acupuncture point-meridian association relationship matrix based on the enhanced acupuncture point feature map; compared with the prior art, the method has the advantages that three-dimensional body surface scanning, infrared thermal imaging and elastic modulus data are integrated through the multi-modal data fusion technology to generate the enhanced acupoint feature map, the dynamic meridian-acupoint twinborn model is constructed in combination with double-ellipse section fitting and implicit curved surface reconstruction, and tissue deformation is simulated in real time.

The invention relates to the technical field of image processing, in particular to an intelligent fracture diagnosis system based on image recognition, which comprises an image analysis module, a mode recognition module, a form analysis module, a risk assessment module and an auxiliary decision module. According to the method, skeleton gray level distribution and boundary consistency are analyzed through continuous frames of X-ray images, fracture feature extraction precision and time sequence coherence are improved, key point space distribution, symmetry standards and form proportions are fused, fracture area structured quantitative evaluation is achieved, the form change trend and abnormal offset point screening are combined, and the accuracy of fracture feature extraction is improved. The method enhances abnormal trajectory recognition precision, associates bone mineral density and form offset, calibrates high-risk time periods, improves risk assessment perspectiveness and individual adaptability, dynamically corrects output content according to an inter-frame suggestion change trend and extended feedback, enhances timeliness of diagnosis suggestions and closed-loop feedback quality, and improves risk assessment accuracy. Image evolution, structural geometry and physiological data are integrally fused, and multi-dimensional intelligent judgment of fracture recognition and evaluation is achieved.

The invention discloses a teenager physical exercise real-time monitoring system, and relates to the technical field of intelligent monitoring. An individualized health assessment model is constructed through space-time alignment processing of joint three-dimensional movement, electromyographic signals and plantar pressure and a bone age dynamic matching technology. Time sequence deviation is eliminated through unified clock marking and interpolation compensation, parameters such as bone stress deviation degree, muscle synergy asymmetry degree and plantar pressure unbalance degree are extracted, and comprehensive health indexes are generated through weighting. And in combination with a preset training path model, analyzing a health index trend in real time and triggering a grading adjustment instruction, dynamically optimizing training intensity, interval and action schemes, and correcting path model parameters through a closed-loop feedback mechanism to realize adaptive updating. The defects that traditional teenager physique monitoring data fusion is large in deviation and static evaluation hysteresis is high are overcome, real-time accurate monitoring and personalized training optimization of teenager physique exercise are achieved, and the sport injury risk is effectively reduced.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

The invention relates to the technical field of spine rehabilitation training, and discloses a computer vision recognition and guidance system for spine rehabilitation training actions. The system comprises a data acquisition module for acquiring user spine motion three-dimensional dynamic image data by using a multi-camera array; the action recognition module tracks bone joint points based on an improved algorithm to generate a real-time action sequence; the posture evaluation module is used for extracting spine curvature and joint angle features through a multi-scale convolutional neural network; the guidance instruction generation module inputs the features into a reinforcement learning model to generate a personalized instruction; and the feedback execution module constructs a fuzzy self-adaptive control model to correct the motion trail of the spine. According to the system, training actions can be accurately recognized, personalized guidance is provided, real-time correction is achieved, the spine rehabilitation training effect is effectively improved, subjectivity and errors of manual evaluation are reduced, and rehabilitation requirements of different patients are met.

The invention belongs to the technical field of microbial fermentation, and particularly relates to lactobacillus rhamnosus capable of maintaining bone health and improving local joint inflammation and a metagen and application of the lactobacillus rhamnosus. According to the invention, the probiotic NKU ML1-2 is subjected to fermentation culture, such that a post-generation product is prepared. Results of embodiments prove that the metagen product can enhance the oxidation resistance of cartilage and osteoblasts and promote the synthesis of anti-inflammatory factors and cartilage matrixes (type II collagen and proteoglycan), and has the potential of relieving oxidative stress and inflammatory response of local joints, relieving joint inflammation and delaying cartilage destruction. The prepared metagen product is high in safety and good in stability, and can be applied to preparation of medicines for preventing and / or treating osteoarthritis; the metagen product can also be used for promoting bone health, enhancing the antioxidant capacity of osteoblasts and / or chondrocytes, promoting osteoblast activity and / or promoting calcium absorption and fixation, and a new solution is provided for joint health management.

The invention provides a falling detection method and system based on millimeter wave radar fusion human body postures, and relates to the technical field of falling detection, and the method comprises the steps: collecting human body echo signals, and constructing three-dimensional point cloud data through distance, angle and speed estimation; the point cloud is processed to generate a dynamic sequence, and skeleton features and key point coordinates are extracted in combination with a graph convolutional network. A skeleton connection relation is constructed based on the key points, attitude features are calculated, key change features are extracted through a self-attention mechanism, and the key change features are fused with a point cloud sequence to construct multi-modal features. And the double-branch state recognition network processes the fusion features, and when abnormality is detected, further analysis is carried out through residual attention and space-time diagram convolution, and finally, the falling state is recognized and the risk level is evaluated.

The invention discloses an intelligent identification system for an osteoporosis area, belongs to the field of image processing calculation, and aims to solve the problems of limited technical coverage and lack of a dynamic optimization mechanism. In a feature extraction stage, a system combines traditional image processing and deep learning technologies in parallel, extracts bone trabecula multidirectional texture features by using a Gabor filter and a local binary pattern algorithm, analyzes bone contour curvature by combining Sobel edge detection and morphological operation, constructs geometric morphological parameters, and performs feature extraction on the bone trabecula. The local branch focuses on the porosity and arrangement rule of the bone trabecula by adopting a 3D convolutional network, the global branch is embedded into a compression excitation module based on an improved MobileNetV3 network to strengthen the overall morphological expression of the bone, the response intensity of a local microstructure is enhanced by space attention, the weight of global bone topological characteristics is calibrated by channel attention, and a multi-scale splicing strategy is combined, so that the overall morphological expression of the bone trabecula is optimized. And finally, outputting a fusion feature matrix after noise suppression, and remarkably improving the expression ability of pathological features.

The invention provides an application of bifidobacterium animalis subsp. Lactis CP-9 in preparation of a product for promoting bone growth and development or improving bone health. Long-term research and a large number of experiments show that the bifidobacterium animalis subsp. Lactis CP-9 can improve the bone volume fraction, the bone trabecula thickness, the bone density and the bone volume of an organism, and can also effectively improve the growth hormone level and the insulin-like growth factor 1 level, so that bone growth and development are promoted. Meanwhile, the bifidobacterium animalis subsp. Lactis CP-9 can effectively improve the N-terminal propeptide level, osteocalcin level, bone morphogenetic protein level and osteoprotectin level of I-type procollagen in a body, and remarkably reduce the amino-terminal peptide level of the I-type collagen and the ligand level of nuclear factor kappa B receptor activating factor, so that osteoblast differentiation is promoted, osteoclast differentiation is inhibited, and osteoclast differentiation is inhibited. Furthermore, bone formation is promoted, bone resorption is inhibited, bone metabolism is improved, and finally the effect of improving bone health is achieved.

The present disclosure provides a target region positioning method, an electronic device and a computer readable storage medium, the target region positioning method comprising: acquiring, by a camera, a target image comprising a skin surface region corresponding to a reaction bone; wherein the reaction bone is a bone having a target feature; identifying the skin surface region from the target image; determining first device coordinate information of a center position of the skin surface region in a device coordinate system; determining second device coordinate information of a center position of a target region comprising a lesion in the device coordinate system according to the first device coordinate information and predetermined first position relationship information; wherein the first position relationship information is position relationship information between the center position of the skin surface region and the center position of the target region.

The invention relates to a skeleton posture prediction method and system, computer equipment and a storage medium. The method comprises the steps that preoperative three-dimensional image data and intra-operative projection data of a target skeleton are acquired; obtaining an initial attitude matrix of the target skeleton according to the three-dimensional image data; obtaining preoperative projection data of the target skeleton according to the initial attitude matrix and the preoperative three-dimensional image data; performing style migration on the preoperative projection data to obtain intra-operative simulation projection data; and obtaining a target attitude matrix of the target skeleton according to the intraoperative simulation projection data and the intraoperative projection data. According to the method, the image style migration is performed on the preoperative projection data to obtain the intraoperative simulation projection data, so that the intraoperative simulation projection data is closer to the real intraoperative projection image to improve the registration precision, prediction is performed in combination with the actually acquired intraoperative projection data, the precision and robustness of bone pose prediction are improved, the iteration process is simplified, and the accuracy and robustness of bone pose prediction are improved. And the bone posture prediction efficiency is greatly improved.

Apparatus and methods are described for use in securing a first bone relative to a second bone using a pair of surgical staples or, alternatively, a surgical staple and a bone screw. When a pair of staples are used, one of the legs of one of the staples may pass between the legs of the another of the staples. When a staple and a bone screw are used, the bone screw may pass between the legs of the staple. A guide tool can be used during the drilling of the holes for the legs of the staples or the legs of the staple and a bone screw. The guide tool provides guides for drilling guide holes for the staples or for the screw and staple.

A suture button system for fixing a syndesmotic injury comprises a flexible fixation implant and an inserter device used to deploy the implant across bones. The flexible fixation implant typically comprises a flexible connector and two suture buttons which interface with the bone surface or a bone plate or washer. The flexible connector comprises a plurality of suture strands. The buttons typically have a feature which allows them to interface with an instrument used to deploy the implant across the two bones. The inserter device is configured to interface with the flexible fixation implant and to position it across bones through a pre-drilled bone tunnel. The inserter device may comprise an cannulated insertion rod and a handle.

The invention belongs to the technical field of biological medicine, and discloses a probiotic agent capable of improving the physiological activity function of vitamin D and maintaining bone health and application of the probiotic agent. The invention provides a probiotic agent composed of bifidobacterium adolescentis and bifidobacterium longum, the probiotic agent can significantly improve the bone mineral density, the bone trabecula thickness, the bone trabecula number, the bone trabecula connectivity and the bone volume fraction of an osteoporosis mouse, and meanwhile, the bone trabecula separation degree of the osteoporosis-removed mouse is significantly reduced; the level of vitamin D metabolites such as 25-hydroxy vitamin D and 1, 25-dihydroxy vitamin D in mouse serum is improved; the content of serum calcium and alkaline phosphatase in serum of mice is reduced, and the level of osteocalcin and type I procollagen amino terminal peptide in the serum is improved. The probiotic agent can relieve bone calcium loss, maintain bone health, repair bone injury, increase osteoblasts and reduce the osteoporosis degree, and can be used for preparing drugs for preventing and / or treating osteoporosis or preparing health care products or food beneficial to improving bone mineral density.

The invention relates to the technical field of medical informatics, in particular to a construction method of an osteoporotic fracture risk prediction model. The method comprises the following steps: acquiring an included angle between a foot and the ground, a step speed and a CT image of a target person in a monitoring process; dividing pixel points in the CT image into a plurality of bone tissue areas; according to the shape distribution characteristics of the edge lines in the bone tissue area, bone characteristic values of the bone structure are obtained; obtaining a posture control factor of each gait according to the included angles between the left and right feet of the target person in each gait and the ground; determining an abnormal posture index of each gait in combination with the posture control factor and the corresponding step speed; obtaining a control disorder coefficient of each time period according to the numerical distribution characteristics and the change characteristics of all the posture control factors in each time period; and determining an osteoporosis evaluation value by integrating the bone characteristic value and the disorder control coefficient of the skeleton structure. The accuracy of the bone comprehensive evaluation result of the target person is improved.

The invention relates to the technical field of model construction, in particular to a method for creating an image recognition model based on clinical disease data integration. The method comprises the following steps: acquiring a medical clinical orthopedic image set; the bone density and the bone form of the medical clinical orthopedic image set are extracted, bone structure division is carried out on the medical clinical orthopedic image set, bone structure division images are generated, and the bone structure division images comprise large bone structure images and small bone structure images; analyzing the bone layer thickness of the big bone structure image and performing physical layer thickness compensation reconstruction on the big bone structure image to generate big bone middle virtual slice data; and performing detail guide reconstruction on the small bone structure image to generate small bone fracture texture reconstruction data. According to the invention, through image resolution enhancement, multi-modal data integration, motion simulation and optimization model training, the accuracy of skeleton image dynamic identification is improved.

The invention discloses a scoliosis rapid screening method and device, and the method comprises the steps: S1, obtaining frame-by-frame images of a human spine through a visual sensor, and forming a human standing video sequence; s2, acquiring three-dimensional coordinate information of main skeleton key points of a human body; s3, analyzing the three-dimensional coordinate information of the main skeleton key points of the human body; s4, collecting human body front and back double-view-angle stoop motion videos through a color vision sensor; s5, carrying out frame-by-frame processing segmentation on the motion video sequence of human body stooping; s6, splicing the two-dimensional back contours extracted frame by frame to generate a complete back three-dimensional curved surface model; and S7, judging whether the scoliosis risk exists in the testee or not by combining the dynamic change indexes of the back contour features in the motion state, combining the back contour features of each frame extracted frame by frame and a plurality of indexes calculated according to the skeleton key points and inputting the indexes into the joint learning model.

An apparatus includes a pair of engaging members to engage a first and second portion of a body toward an upper and lower portion of a neck, and a plurality of assemblies connecting the first engaging member and the second engaging member to maintain a distance between bones of a body portion comprising an area of the neck, wherein the body portion resides between the first and second portions, and wherein each assembly comprises a plurality of rods coupling the first engaging member and the second engaging member, and a coupling tube with a first rod of the plurality of rods secured to a proximal end and a second rod of the plurality of rods secured to a distal end, wherein rotation of the coupling tube adjusts a gap between the first and second rods in the coupling tube to control the distance between the bones of the body portion.

A bone anchoring surgical system comprising a bone anchoring device comprising a bone anchor body configured to anchor a bone; and a deformable structure associated with the bone anchor body and located distally or proximally to the bone anchor body, the deformable structure configured to expand following deployment thereof in a target inner body skeleton position.

The invention relates to the field of nutrient solutions, and particularly discloses a high-calcium-zinc dietary nutrient solution for promoting skeletal development and a preparation method thereof, the high-calcium-zinc dietary nutrient solution for promoting skeletal development comprises the following raw materials: calcium citrate, zinc citrate, a zinc-containing yeast extract, vitamin D3, a nutrition enhancer, functional oligosaccharide, xanthan gum, anhydrous citric acid, essence, a sweetening agent and water; the preparation method comprises the following steps: mixing the zinc citrate, the zinc-containing yeast extract, the seaweed meal, the natto powder, the stachyose and the trehalose to prepare a mixture A; uniformly premixing stevioside, xanthan gum and trehalose to obtain a mixture B; s4, vitamin D3 powder and trehalose are premixed and dissolved, and a mixture C is prepared; heating the residual water, adding the mixture A, the fructo-oligosaccharide, the anhydrous citric acid, the calcium citrate, the mixture B, the trehalose and the mixture C, adding the essence, and stirring to obtain the beverage. The preparation method has the characteristic of preparing the liquid calcium-zinc dietary nutrient solution with good absorption and utilization rate and palatability.

The invention relates to the technical field of image processing, in particular to a plastic surgery aided navigation method and system based on computer aiding.The method comprises the steps that a skeleton image is collected, suspected pixel points are obtained according to a gray histogram of the skeleton image, edge vectors are constructed according to skeleton edges of the skeleton image, and all center pixel points are obtained; the skeleton roughness and the edge included angle of each center pixel point are obtained, skeleton roughness abnormal factor parameters of each suspected pixel point are calculated, and all abnormal pixel points are obtained in combination with the gray value and the distance between each suspected pixel point and the nearest skeleton edge; all target pixel points are obtained according to the gray value difference between each abnormal pixel point and the surrounding pixel points, the target pixel points are clustered to obtain a plurality of target clusters, and the suspected bone uplift abnormal area is obtained after segmentation. The method aims at solving the problem of wrong segmentation caused by the fact that seed points are arranged at low-density bones, and the accuracy of bone uplift abnormal region segmentation is improved.

The invention provides a method for acquiring a three-dimensional model of an ankle skeleton of a human body by simulating load-bearing CT scanning. The method comprises the following steps: acquiring CT scanning data; uploading the CT scanning data to medical image processing and three-dimensional reconstruction software to obtain an initial scanning image; constructing a three-dimensional model according to the initial scanning image; and carrying out model verification on the three-dimensional model to obtain a skeleton three-dimensional model. According to the method, the high-resolution three-dimensional model of the ankle skeleton can be obtained, and reliable support is provided for medical research, clinical diagnosis and treatment of the ankle and research and development of medical instruments. Compared with a traditional method, the data obtained by simulating the load is more practical, the model quality is remarkably improved through the advanced technology and algorithm, and development of related research and application in the medical field is promoted.

The invention relates to the technical field of knee joint rehabilitation evaluation, in particular to a knee joint rehabilitation evaluation method based on a human skeleton by using a space-time diagram convolutional network, and the method comprises the following steps: obtaining a rehabilitation evaluation gait video set; extracting human body key point skeleton data, and slicing the human body key point skeleton data into gait samples according to the number of time frames; preprocessing the gait sample, and extracting joint, skeleton and joint angle features; a gait-link method is adopted to divide a space gait skeleton diagram, a space-time attention mechanism is added, and an improved CTR-GCN network model is constructed; training the improved CTR-GCN network model by using the gait sample to obtain a gait evaluation model; and processing a gait video to be evaluated, and inputting the processed gait video into the gait evaluation model to obtain a rehabilitation evaluation result of the patient. According to the method, the human body key point skeleton in the walking video of the patient is extracted and input into the space-time diagram convolutional network for training, the rehabilitation evaluation model is obtained, the rehabilitation condition of the patient is evaluated by using the model, and the requirement of rehabilitation evaluation is met.

A dynamic reference base (DRB) and associated method are provided for rigidly affixing an array frame to bone for use in navigated or robotic surgery. The DRB includes a bridge element that includes a connecting rod having a distal end and a proximal end; a clamp coupled to the distal end of the connecting rod; a first and a second pin guide extending distally from the clamp; a locking nut disposed on the clamp; and a clutch coupled to the proximal end of the connecting rod, the clutch being adapted to couple to the array frame. The DRB also includes the array frame, which is couplable to the clutch, and is adapted to include a plurality of tracking markers disposed thereon.

The massage method for identifying the back acupoints based on the intelligent AI comprises the steps that a back image of a user is collected, feature extraction is conducted on the back image, back muscle textures and skeleton contour features in the image are obtained, regional features with the acupoints are highlighted through an attention mechanism, and acupoint candidate feature vectors are obtained; inputting the acupoint candidate feature vectors into a trained acupoint positioning model to obtain an acupoint positioning result; generating an optimization strategy based on the acupuncture point positioning result; acquiring a massage demand input by a user, and matching a corresponding initial massage strategy by using a decision tree algorithm based on the massage demand; optimizing the initial massage strategy based on an optimization strategy to obtain a personalized massage strategy; based on the personalized massage strategy, a control instruction of the massage equipment is generated to control the massage equipment to complete back acupoint massage. According to the method and the device, the defect that a targeted massage strategy cannot be quickly generated based on the difference of users at present is overcome.

In some embodiments, a method comprises disposing a portion of a flexible fastening band into contact with a first bone portion and into contact with a second bone portion. The portion of the flexible fastening band having a substantially uniform shape configured to substantially compliment a shape of the first bone portion and a shape of the second bone portion. The method further includes inserting the portion of the flexible fastening band into a fastener and advancing the portion of the flexible fastening band through the fastener until the first bone portion and the and the second bone portion are stabilized.

The embodiment of the invention discloses a skeleton health dynamic tracking and intervention method and system based on movement and nutrition. The method comprises the following steps: acquiring gait information, bone metabolite information and bone state measurement parameters of a target user by adopting wearable equipment; processing the gait information, the bone metabolite information and the bone state measurement parameters based on an artificial intelligence (AI) model to obtain bone state prediction parameters; according to the bone state prediction parameter and the health data of the target user, performing bone health state evaluation of the target user to obtain a health state prediction parameter; the health state prediction parameters comprise a bone health state instant evaluation index and bone health dynamic trend data; generating a targeted exercise plan and a diet plan according to the health state prediction parameters; wherein the target motion planning is used for guiding the motion of the target user; the diet planning is used for guiding the diet of the target user.

The invention relates to the field of rehabilitation management, and discloses an orthopedic patient rehabilitation process tracking system comprising a patient data acquisition module used for acquiring joint motion parameters and three-dimensional skeleton point cloud data of an orthopedic patient; the muscle model building module is used for building a skeleton model of the orthopedic patient, defining skeleton degree-of-freedom motion of the skeleton model and building a specific skeleton-muscle model; the monitoring network construction module is used for determining a distributed flexible strain sensor and an epidermal electrode of the orthopedic patient, defining an ad hoc network protocol of the distributed flexible strain sensor and the epidermal electrode, and constructing a flexible electronic monitoring network; the monitoring network data acquisition module is used for monitoring local muscle electrical activity and mechanical stress distribution of the orthopedic patient; and the rehabilitation process tracking module is used for executing rehabilitation process tracking of the orthopedic patient after analyzing a function recovery curve of the orthopedic patient by using the joint contact force and the ligament strain energy. The evaluation accuracy of the rehabilitation process of the patient can be improved.

To provide an apparatus for the treatment or prevention of osteopenia and osteoporosis, stimulating bone growth, preserving or improving bone density, and inhibiting adipogenesis.SOLUTION: A vibration apparatus for treating a subject comprises an actuator configured to generate vibrational energy, a securing mechanism for positioning the actuator upon the body of the subject while maintaining portability of the actuator such that the vibrational energy is directed into an area of the body to be treated, an accelerometer disposed along the securing mechanism, and a controller in communication with the actuator and the accelerometer. The controller is programmed to measure an exposure level of the vibrational energy to the area of the body using acceleration acquired from the accelerometer, and to compare the exposure level with a maximum exposure level such that the exposure level is limited by the maximum exposure level within a predetermined period of time.SELECTED DRAWING: Figure 1

The invention relates to a skeleton action recognition method based on spatio-temporal topology learning, and belongs to the technical field of computer vision and artificial intelligence. The method comprises the following steps: constructing a two-dimensional topological coding module to capture a static topological relation and a dynamic topological relation of a skeleton structure at the same time; a multi-level space attention aggregation module is adopted to carry out adaptive weighted aggregation on skeleton features of different levels so as to enhance the expression ability of key nodes and edges; a time dynamic sequence pooling method is designed, high-order dynamic information of time sequence data is extracted based on a dynamic mode decomposition strategy, and the accuracy of action recognition is improved. The method has the advantages that time-space structure information of skeleton data can be fully utilized, accurate recognition of human body actions is achieved, meanwhile, the modeling capacity of complex dynamic behaviors is improved, and the limitation of a traditional method in capturing high-order dynamic information is avoided.