3608 results about "Skeletal bone" patented technology

The present invention relates to a pose recognition method and system combining environmental adaptation with estimation and classification, and a medium, the method comprising: on the basis of an application scenario, obtaining a human pose estimation model; inputting image data to be tested into the human pose estimation model to output human pose keypoints; performing data enhancement and normalization on the human pose keypoints; inputting the human pose keypoints that have undergone data enhancement and normalization and high-order pose features into a pose classification model to obtain a pose recognition result, the high-order pose features comprising bone vectors, the mean of bone vector moduli, relative lengths of bones, and an included angle between the line connecting each human pose keypoint and a trunk midpoint and the horizontal direction. Thus, according to the present invention, pose recognition is divided into two processes of pose estimation and pose classification, which facilitates algorithm updating and iteration being performed when there is better estimation and classification performance, and the structure is flexible.

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 discloses an osteoarticular disease rehabilitation training optimization system, and relates to the field of medical training, and the system comprises an authority control module which is used for connecting an electronic medical system, obtaining the reading authority of historical and current medical data of a patient, and obtaining the instruction control and data reading authority of each functional module; the multimode acquisition module is used for acquiring pathological bone joints, associated musculoskeletal data and personal basic data through the authority control module, and converting original data into feature vectors of muscle activation degree, bone joint activity degree and skeleton stress distribution of a corresponding area of a patient body; by integrating medical data, musculoskeletal features and economic condition information of a patient, a personalized model is constructed to output an optimal adaptive training item and specific data thereof, the compensatory load of a non-ill-conditioned joint is evaluated, and timely intervention is performed through a fusing mechanism when abnormity is monitored in real time, so that the safety is ensured.

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 lower limb exoskeleton rehabilitation robot joint torque prediction method and device based on an electromyographic signal, and the method comprises the steps: firstly collecting the electromyographic, joint angle, angular velocity and joint torque data of a user, and carrying out the modeling of four muscles related to a knee joint through a neuromusculoskeletal model; and identifying physiological parameters used in the model by using a sparrow optimization algorithm, and outputting an optimal solution to obtain an estimated torque. Then, the real torque and the estimated torque are endowed with the weights of # imgabs0 # respectively, and a fusion torque is obtained; and training a neural network model by using the collected data and the fusion moment, and meanwhile, enabling the neuromusculoskeletal model to participate in the training process of the neural network model by adopting a method of bringing the neuromusculoskeletal model into a loss function, so that the constraint of the model is increased. And finally, storing the trained model for subsequent calling. The method has the advantages of high precision and strong generalization, and model training can converge more quickly under the condition of less data volume.

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.

Methods and devices for consistently and accurately controlling the depth of the graft tunnel. A sheath is inserted into the bone until a stop member on the sheath contacts the bone. A cutting member is then deployed to drill a larger bore in the tunnel until making contact with the distal end of the sheath. The cutting member may be drawn retrograde within the tunnel, or driven antegrade from an opening opposite the opening in which the sheath resides. The drill and the sheath can then be removed, leaving the tunnel that includes a tunnel portion sized to fit a graft so that the graft fits tightly within the tunnel portion and is flush with the opening of the tunnel.

A method and apparatus for coupling a soft tissue implant into a looking cavity formed within a bone is disclosed. A bone engaging fastener is coupled to bone. A second fastener is coupled to a suture construction. The second fastener is coupled to the first fastener. Soft tissue is coupled to the suture construction.

Surgical systems and instruments for performing shoulder repair procedures using a transhumeral approach are disclosed. The systems include a humeral guide configured to set a path of travel for a guide pin that operates bone preparation instruments with a transhumeral approach. The guide pin can selectively engage one or more bone preparation instruments disposed at a humeral resection surface and operate the tool(s) by powering the guide pin from below the humeral resection surface. A handle assembly can be used to position bone preparation instruments at the surgical site, with the handle assembly being selectively mountable to the humeral guide. The humeral guide can also have a sizer attachment coupled to it to assist in measuring and sizing locations for an implant to be placed on the humeral resection surface. Measuring, reaming, broaching, and implanting actions can all be performed with assistance from the humeral guide.

An orthopedic tool includes a main body and a reference member. The reference member may be configured to engage an anatomical feature of a patient, such as the patient's bone. The angle of the reference member may be adjusted using a knob.

The invention relates to the technical field of automobile safety, in particular to a human body finite element model soft tissue motion deformation non-simulation rapid calculation method. Comprising the steps of initializing a calculation structure, recognizing a skeleton-soft tissue common node NBS, and extracting a soft tissue inner surface node NSS, a near-end end face node NSP and a far-end end face node NSD. And extracting skeleton motion information, calculating node coordinate sets BS0 and BS1 based on the initial configuration B0 and the target configuration B1, and determining end face boundaries SP0 and SP1 and SD0 and SD1 by utilizing rigid body transformation. Calculating an initial displacement field D0, acting on the NSS to obtain an initial deformation inner surface SS1, and processing a penetration site to obtain SS2; and fixing the BS1, and optimizing the coordinates of the SS2 node to obtain SS3. And integrating the initial mark point sets SS0, SP0 and SD0 and the post-motion mark point sets SS3, SP1 and SD1, and calculating a final displacement field D1 through spatial interpolation. The technical scheme can quickly and accurately simulate the large deformation of the soft tissue involved in human motion.

The present invention relates to a nutritional composition, food and pharmaceutical products comprising the nutritional composition, and uses thereof. The nutritional composition comprises medium and long chain fatty acid triglycerides and breast milk oligosaccharides, and the weight ratio of the medium and long chain fatty acid triglycerides to the breast milk oligosaccharides is 1: 1 to 9: 1. The nutritional composition disclosed by the invention can play a role in synergistically promoting skeletal development and particularly improving bone mineral density.

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.

Various embodiments of implant systems and related apparatus, and methods of operating the same are described herein. In various embodiments, an intermedullary implant for interfacing with a bone structure includes a web structure, including a space truss, configured to interface with human bone tissue. The space truss includes two or more planar truss units having a plurality of struts joined at nodes. Implants are optimized for the expected stress applied at the bone structure site.

An orthopedic fixation device operable for securing bone parts comprising one or more blocking cams integrated into a structural support device such as an intervertebral spacer or a fixation plate. The blocking cam is irremovable from the structural support device without destruction of the blocking cam or the structural support device or both. In preferred embodiments, the blocking cam comprises a central body with one or more tabs extending radially from the central body. The blocking cam is rotatable between a locked mode wherein one of the tabs obstructs removal of a bone anchor from a fixator port of the structural support device and an unlocked mode wherein the bone anchor is unobstructed from removal from a fixator port.

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 relates to bionic matrix hydrogel for constructing bone organs and a preparation method of the bionic matrix hydrogel. The bionic matrix hydrogel is prepared from a bone acellular extracellular matrix, a salmon DNA (Deoxyribose Nucleic Acid) network and a calcium phosphate oligomer under the combination of photo-crosslinking and self-assembly physical crosslinking. The acellular extracellular matrix in the bionic matrix hydrogel can simulate organic components in natural bones, the calcium phosphate oligomer can simulate inorganic components in the natural bones, and sufficient phosphate ions can be provided for biomineralization due to introduction of a DNA network. The biomimetic matrix hydrogel can replace Matrigel to act in bone organoid culture, provide a living environment similar to bone tissue for three-dimensional culture cells, enhance substance exchange and signal transduction between cells, promote proliferation, adhesion and osteogenic differentiation of bone marrow mesenchymal stem cells, and further accelerate the process of biomineralization. The invention provides an optional new material for preparing the functional bone organ.

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.

The invention discloses a skeleton model manufacturing method based on a 3D printing technology, and relates to the technical field of medical treatment, and the method comprises the steps: collecting the multi-modal image data of the skeleton of a patient, carrying out the image segmentation and reconstruction, and generating a digital three-dimensional model of the skeleton of the patient; carrying out mechanical optimization and material distribution adjustment on the digital three-dimensional model by utilizing a topological optimization algorithm, designing a bionic microstructure, and outputting a three-dimensional skeleton model subjected to optimization and bionic design; the bone model which is detected to be qualified is used for generating a personalized mold, and a prosthesis which is completely matched with the bone of the patient is customized through the mold; preoperative simulation and design of a prosthesis implantation scheme are carried out based on the skeleton model, and a personalized prosthesis and an operation scheme matched with the skeleton of the patient are obtained; the structural rigidity is maximized and the material consumption is minimized by utilizing a topological optimization algorithm, so that the bone model can better meet the biomechanical requirements of a patient, and meanwhile, the bionic characteristics and mechanical properties of the model are enhanced through the bionic microstructure design.

The invention provides a nutritional composition and application of the nutritional composition. The nutritional composition comprises medium-chain and long-chain fatty acid triglyceride and a milk fat globule membrane in a mass ratio of (2: 1)-(97: 1), and the medium-chain and long-chain fatty acid triglyceride and the milk fat globule membrane have a synergistic effect in the aspects of promoting skeletal development, especially increasing bone mineral density and / or preventing or treating osteogenesis insufficiency and / or osteoporosis.

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 an image correction technology, and discloses a CBCT (cone beam computed tomography) image osteosclerosis artifact correction method, which comprises the following steps: acquiring a high-energy projection image and a low-energy projection image of a target object, performing image reconstruction, and calculating to obtain a primary artifact-free image; extracting a bone image and a soft tissue image from the primary artifact-free image based on threshold segmentation, calculating a bone weight, taking the artifact image of the target object as training input data, taking the bone image and the soft tissue image as reference data, and training to obtain a dual-channel artifact correction model; and outputting a preprocessed bone image and a preprocessed soft tissue image according to the to-be-processed osteosclerosis artifact image by using a dual-channel artifact correction model, and carrying out weighted fusion on the preprocessed bone image and the preprocessed soft tissue image according to a bone weight to obtain an artifact-free reconstructed image. The invention further provides a CBCT image osteosclerosis artifact correction device, electronic equipment and a storage medium. According to the invention, the image artifact correction effect can be improved.