5002 results about "Skeletal bone" patented technology

The invention relates to the technical field of image processing, and discloses a scoliosis angle intelligent measurement method and system based on spine CT three-dimensional reconstruction. The method comprises the following steps: carrying out adaptive threshold segmentation and gray optimization processing on a spine CT sequence image to obtain a standardized preprocessed image, and carrying out adaptive bone tissue region identification and boundary enhancement processing to obtain spine skeleton segmentation data; performing three-dimensional grid construction and curved surface smoothing processing on the spine skeleton segmentation data to obtain spine three-dimensional model data; carrying out centrum gap identification and key point positioning processing on the spine three-dimensional model data to obtain a centrum feature data set, and carrying out spine midline curve construction and end centrum marking processing to obtain Cobb angle data; and performing three-dimensional space reconstruction and multi-plane projection processing on the Cobb angle data to obtain a measurement result report. According to the method and the device, full-automatic processing from acquisition of the CT image to generation of the final measurement result report is realized on the premise of ensuring the measurement accuracy.

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.

The invention provides a tumor type bone defect reconstruction method and system. The method comprises the following steps: acquiring bone defect information; constructing a bone defect restoration; constructing a bone defect three-dimensional model; and bone defect simulation surgery. According to the method, the bone defect information is obtained by evaluating the illness state of the patient, meanwhile, the anatomical structure of the bone tumor of the patient is subjected to structural evaluation through modern medical imaging, and the bone defect restoration is constructed in combination with the corresponding bone defect information; then, according to preset prosthesis design data, carrying out repair design on the bone defect prosthesis and obtaining three-dimensional skeleton data of a patient in real time, then, according to the obtained three-dimensional skeleton data, constructing a three-dimensional bone defect model and carrying out a bone defect simulation operation, and finally, predicting and optimizing the implantation position, direction and angle of the bone defect prosthesis. The effect of improving the construction accuracy of the bone defect prosthesis is achieved, and the problem that in the prior art, the construction accuracy of the bone defect prosthesis is low is solved.

The invention provides a bone image superposition presentation method and system based on an augmented reality technology, and relates to the technical field of intelligent medical systems.The method comprises the steps that fracture image data for a fracture area of a patient are acquired, and the fracture image data comprise a CT image, an X-ray image and a light field image; analyzing a light model corresponding to the light field image; the light model provides propagation information of light in a fracture area space of a patient; determining multi-modal fusion features corresponding to the fracture image data based on a light model and a feature fusion network; the feature fusion network adopts a convolutional neural network; reconstructing a three-dimensional model of the fracture part based on the multi-modal fusion features; and aligning and calibrating the reconstructed three-dimensional model of the fracture part and the fracture area of the patient in the actual operation scene. Therefore, the augmented reality technology, the light model and the feature fusion network are comprehensively applied, the three-dimensional model of the fracture part is accurately overlaid and presented in real time in a real operation scene space, and the accuracy and efficiency of the operation can be remarkably improved.

A method for performing segmentation on CT image data of a spine is provided. The method includes retrieving the CT image data of the spine, detecting an estimated position of at least four pedicle regions associated with a plurality of vertebras, determining a pose for each of at least two vertebrae. The method further includes performing a first segmentation process on the CT image data with a shape model to generate a first segmentation and performing a second segmentation process on the CT image data using a first neural network to generate a second segmentation of the at least two vertebrae. The method also includes mapping the shape model to the second segmentation, applying landmarks from the shape model to the second segmentation using the mapping, and overlaying a segmentation mask based on the second segmentation over the CT image data.

The invention provides a tripeptide for promoting bone growth, the tripeptide is VPF, the amino acid sequence of the tripeptide is Val-Pro-Phe, the molecular weight of the tripeptide is 361.44 Da, and the tripeptide belongs to the technical field of functional bioactive peptides. The tripeptide can be prepared from egg yolk protein through enzymolysis separation and purification, can also be obtained through chemical solid-phase synthesis, has a good effect of promoting bone growth, can remarkably improve the growth and proliferation level of osteoblasts in a body, promotes synthesis and secretion of bone matrixes, and has a good application prospect. Meanwhile, the secretion of insulin-like growth factors (IGF-1), transforming growth factors (TGF-beta1) and I-type procollagen amino-terminal peptide (PINP) in the body is efficiently promoted, and good market prospects are achieved.

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 provides a bacterial strain for improving bone health and application of the bacterial strain. The preservation number of bifidobacterium animalis subsp. Lactis BL-11 is CGMCC (China General Microbiological Culture Collection Center) No.20847. The strain can promote osteoblasts and inhibit osteoclasts in a cell experiment; by constructing a mouse model with abnormal bone growth, the BL-11 probiotics have an obvious improvement effect on bone development indexes of the model mouse, promote bone formation and inhibit bone resorption; furthermore, the BL-11 probiotics can improve the ostealgia score, life quality and bone mineral density of people with osteoporosis or bone mass reduction. The results indicate the application potential of the probiotics in improvement of abnormal bone growth and prevention and treatment of osteoporosis.

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.

The invention discloses an intelligent analysis system and method for orthopedic nursing, and relates to the technical field of medical information, and the method comprises the steps: collecting and preprocessing medical image data, combining the daily motion state data of a patient, constructing a multi-dimensional data set containing skeleton morphological features and motion features, extracting data features, and carrying out the analysis of the data. Adaptive fusion is carried out by adopting an attention mechanism, and a digital feature model containing static morphological features and dynamic motion features is established; based on the digital feature model, joint stress features and coupling features are obtained, and a comprehensive evaluation index system is constructed to achieve quantitative evaluation of the bone health condition; and according to the evaluation index system, constructing multi-level risk early warning to carry out real-time monitoring and early warning on abnormal conditions, and meanwhile, based on the rehabilitation progress evaluation indexes, adaptively generating personalized rehabilitation schemes and exercise suggestions. According to the rehabilitation parameter adjusting method combined with double-objective optimization, the safety of the rehabilitation process is guaranteed, and the pertinence of the rehabilitation effect is improved.

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 discloses hydrolyzed egg yolk powder rich in growth factor-like polypeptide and a preparation method and application thereof, relates to the technical field of biology and the field of nutrition and health, and particularly relates to the hydrolyzed egg yolk powder rich in growth factor-like polypeptide and application of the hydrolyzed egg yolk powder as a medicament for promoting bone growth. The hydrolyzed egg yolk powder is extracted from egg yolk through a specific enzymolysis technology, and is rich in growth factor-like polypeptides with a remarkable osteogenesis promoting function. The hydrolyzed egg yolk powder and the growth factor-like polypeptide can be used as food additives or medicine components, can effectively promote bone growth, and have remarkable effects on treating or preventing bone health related diseases such as osteogenesis imperfecta, osteoporosis and arthrosis deformans.

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.