43 results about "Fracture risk" patented technology

There is provided a method of diagnosis comprising providing a sample previously isolated from a subject and analysing the sample for presence of a peptide comprising the amino acid sequence N- terminal-KSSTG (SEQ ID NO 1). The diagnosis may be for example diagnosis of a disease is selected from: osteoarthritis, early stage osteoarthritis, moderate osteoarthritis, osteoarthritis associated with risk for chip fractures of the joint or risk for avulsion fractures, severe osteoarthritis, microfractures of the joints, avulsion fractures and chip fractures of the joint.

The utility model discloses a kind of hydrogen anode and cathode rib protection devices, applied in hydrogen fuel cell field, including the inside of fixed frame and fixed sleeve connection with steel wire rope, the two sides of steel wire rope surface are connected with support, the opposite side of two supports is bolted with frame sleeve, the inside of frame sleeve is fixed sleeve connection with fixed column, the center of fixed plate bottom is bolted with lock groove, the inside of lock groove is clamped with lock catch;The utility model passes through the mechanical constraint force of controllable preapplication, significantly improve the anti-deformation ability and overall rigidity of rib structure, effectively offset the periodic load impact caused by hydrogen fluctuation in electrolysis process, make the key force bearing part of protection device form self-balancing stress system, both reduce the fracture risk caused by metal fatigue, and the stress adjustment process of later maintenance is simplified by the modular design of extracorporeal anchoring point;Vibration transmission caused by hydrogen fluctuation or external impact can be effectively alleviated, metal fatigue cracks or connecting piece loosening caused by high-frequency vibration are avoided.

The present invention relates to a system and a method for bone fracture risk assessment and provides for a system to predict Osteoporosis and Osteopenia and its associated fracture risk automatically from conventional chest X-ray image. The invention provides an automated digital X-ray bilateral Clavicle Radiogrammetry and its estimation of Cortical Thickness and Calculation of Cortical bone mass indices of Clavicle to predict dual Hips (Neck) Bone Mineral Density (BMD), dual Hips (Total) Bone Mineral Density (BMD) and Spine (Total) Bone Mineral Density (BMD) as measured by dual energy X-ray absorptiometry (DXA) bone densitometer and 10-year probability of both Major Bones (hip, spine, humerus or forearm)—and Hip-Osteoporotic Fracture Risk Scores. Using the same chest X-ray, an automated prediction of Osteoporosis and Osteopenia at both dual hips and spine regions and 10-year probability of both Major Bones and Hip Osteoporotic Fracture Risk using Artificial Intelligence (AI).

The invention provides a stope face roof disaster early warning method based on support working condition inversion, which comprises the following steps: constructing a mechanical analysis model before a stope face basic roof is fractured, regarding the basic roof as a semi-infinite elastic foundation beam, establishing a deflection curve differential equation, monitoring data in real time based on a hydraulic support, and obtaining the height and inclination angle of the support. According to a mechanical model, basic roof bending moment distribution is calculated, the maximum bending moment and the position of the maximum bending moment are determined, the fracture risk grade is judged based on the ratio of the actual bending moment to the ultimate bending moment of the basic roof, the fracture position of the basic roof is judged according to the position of the maximum bending moment, and the roof cutting and pressing frame high-risk area is predicted in combination with the frame moving step pitch. The method is based on the theoretical basis of rock mechanics and material mechanics, is used for predicting the fracture possibility and the fracture position of the basic roof in front of the coal mine stoping working face, can provide early warning for potential risks in the stoping process, and improves the safety and the working efficiency of coal mine operation.

This invention discloses an improved geriatric nursing turning device, belonging to the field of medical device technology. It includes a support frame, with rectangular frames connected to both ends. Each rectangular frame has a support base connected to both sides of its lower end. Through the synchronous linkage design of the turning component and the side-lying support component, the turning action and cushioning support are coordinated. The turning board rotates gradually under the drive of a first drive motor, while the support plate of the side-lying support component rotates synchronously through a rotating component, forming a cushioning support angle that conforms to the patient's body. This effectively alleviates the impact of sudden changes in the center of gravity during turning, avoiding traction pain or fracture risks in elderly patients due to osteoporosis and joint degeneration. Furthermore, the cushioning pad added to the surface of the turning board further reduces skin friction and local pressure concentration. Combined with the limiting effect of the L-shaped guardrail, it prevents the patient from sliding and shifting during turning, significantly improving operational safety.

The utility model relates to the technical field of orthopedic medical instruments, and discloses a tibial prosthesis structure. Comprising a tibia prosthesis and a medullary cavity insertion section which are detachably connected, a first groove is formed in the outer side wall of the tibia prosthesis, a third groove is formed in the outer side wall of the medullary cavity insertion section, and the first groove and the third groove are sequentially communicated to form a long groove used for placing an implanted bone. The long groove is a bone grafting space extending in the length direction of the tibia prosthesis structure, the bone grafting material is contained in the long groove, on one hand, the bone grafting part can be prevented from protruding after an operation, and the occurrence rate of wound complications is reduced; on the other hand, healing of the patellar ligament and the bone grafting part is facilitated, the patellar ligament fracture risk is reduced, and the knee joint function of a patient is improved.

The invention relates to the technical field of shield cutter abrasion loss evaluation, in particular to a composite stratum shield cutter abrasion loss evaluation method and system, and the method comprises the steps: determining an abrasion loss evaluation strategy of a cutterhead based on a geological parameter fluctuation coefficient; under the condition that the uniform wear evaluation strategy is determined to be started, the reference wear amount of the cutterhead is determined based on the deformation synergy index, and an impact wear evaluation strategy is started; under the condition of determining to start the impact wear evaluation strategy, determining an impact risk level based on the strength ratio, and determining whether the cutter head has a fracture risk based on the fluctuation amplitude and the impact risk level so as to start an abnormal wear evaluation strategy; under the condition that it is determined that the abnormal wear evaluation strategy is started, a preset variable coefficient is optimized based on the evaluation reliability of the cutterhead wear extent; the system comprises a data acquisition module, a strategy determination module, a uniform wear evaluation module, an impact wear evaluation module and an abnormal wear evaluation module. According to the method, the evaluation precision of the cutter abrasion loss of the shield tunneling machine is improved.

This invention provides an information processing device, an information processing method, and a program that provide users with useful information on fracture risk. [Solution] The program is a program that causes a computer to function as an information processing device that supports fracture prevention, the information processing device comprising: prediction means for predicting the fracture risk of each of the multiple subjects from the health information of the multiple subjects; and selection means for selecting subjects for fracture prevention based on the fracture risk of the multiple subjects.

The application belongs to the technical field of medical devices, and provides a single-knee prosthesis tibial tray and a mounting method, which comprises a prosthesis tibial tray body, a support wing and a support column are arranged on the prosthesis tibial tray body; the support wing is connected with the side wall of the prosthesis tibial tray body, and the support wing is embedded into the non-cutting side of the tibia; the support column is connected with the lower end of the prosthesis tibial tray body, and the support column is embedded into the tibia below the tibial bone cutting surface. The above scheme sets the support wing and the support column on the prosthesis tibial tray body, supports and fixes the prosthesis from two different positions and different directions of the side wall and the lower end, respectively, disperses and transmits the load borne by the prosthesis to the larger bone area of the tibia, effectively increases the stress area, avoids the load concentration in the local area of the tibial cutting surface, and reduces the fracture risk of the tibial cutting surface.

The application provides a multi-modal-based physiological age calculation and fracture risk data processing method, which comprises the following steps: collecting multi-source heterogeneous data of a target individual; obtaining a feature tensor set based on the multi-source heterogeneous data; processing the multi-source heterogeneous data and the feature tensor set to obtain a bone system health state latent space representation; processing the bone system health state latent space representation through a preset machine learning regression model to obtain the physiological age of the target individual; determining the age acceleration state based on the physiological age and a preset threshold; and constructing an osteoporotic fracture risk prediction model based on the above data to output an osteoporotic fracture risk probability and a post-fracture all-cause mortality risk prediction value. Through the above design, the application solves the problems of single evaluation dimension, limited application scene, single data mode and missing intervention strategy in the prior art, and cannot well meet the more accurate evaluation and intervention requirements.

The invention relates to the technical field of medical care informatics, and discloses a multi-mode osteoporosis layered early warning system, which comprises a data interface module, a prescription gradient monitoring module, a semantic feature mapping module, a time sequence feature coding module, a cross attention fusion module and a risk calculation module, the change gradient of the analgesic drug dosage is calculated in real time through the prescription gradient monitoring module, and when physical image data is missing and the drug dosage gradient is abnormal, a high-risk proxy vector is forcibly called as morphological feature input, so that an image diagnosis blind area is filled with treatment behavior data, and the diagnosis accuracy is improved. The technical problem that a traditional system cannot effectively warn the hidden fracture risk in the absence of images is solved, and the logical continuity and the acute risk capturing capability of the system under the working condition of incomplete multi-modal data are ensured.

The invention provides a bone health assessment and fracture risk prediction system based on a cross-scale mechanical model, and the system comprises a data obtaining unit which is used for obtaining clinical image data of a user and user information data; the data processing unit is used for performing multi-scale feature extraction on the clinical image data to obtain macroscopic geometric morphology features, density distribution features, regional scale features and texture scale features of the skeleton; the mechanical response parameter calculation unit is used for calculating mechanical response parameters of the skeleton under various load working conditions on the basis of the user information data, a preset skeleton template library and macroscopic geometrical morphology characteristics and density distribution characteristics of the skeleton; and the integrated risk assessment unit is used for determining the fracture risk probability based on the regional scale features, the texture scale features and the mechanical response parameters. According to the invention, the accuracy and comprehensiveness of fracture risk assessment can be improved.

The invention relates to the technical field of tunnel engineering, in particular to an anti-dislocation structure capable of actively inducing dislocation positions and a construction method.The anti-dislocation structure capable of actively inducing dislocation positions comprises inducing joints located in surrounding rock and primary supports, the inducing joints are arranged in the circumferential direction of a tunnel and distributed at intervals in the longitudinal direction of the tunnel, and a shock insulation layer is arranged between the primary supports and secondary linings of the tunnel; the second lining comprises a first deformation joint and a second deformation joint, the first deformation joint is located at the induction joint, the width of the first deformation joint is larger than that of the second deformation joint, and a variable stiffness joint is arranged at the position, corresponding to the induction joint, of the primary support. The fracture part is actively induced during fault dislocation, the structural safety under the dislocation condition is improved, the fracture risk of the tunnel lining structure penetrating through the movable fault zone is reduced, and tunnel construction and operation safety is guaranteed.

Disclosed is the use of dithiocarbamate compounds in the preparation of a drug for preventing and / or treating osteoporosis. The dithiocarbamate compounds can effectively prevent and / or treat osteoporosis, improve bone mineral density in patients with osteoporosis, and reduce the risk of fractures. Moreover, the dithiocarbamate compounds, when used in combination with a calcium supplement, can achieve better preventive and / or therapeutic effects on osteoporosis.

Provided herein is a computer-implemented method including obtaining values for non-modifiable risk factors, each defining an immutable patient characteristic determined to impact a likelihood that a complication results from an arthroplasty procedure. The system obtains first candidate values for modifiable risk factors of the patient defining a mutable characteristic of the patient or the arthroplasty procedure. The first candidate values are determined to minimize the likelihood that the complication results from the arthroplasty procedure. The system obtains second candidate values for the modifiable risk factors of the patient determined to maximize the likelihood that the complication results from the arthroplasty procedure. The system determines a personalized risk interval that represents a range of modifiable risk for the patient with respect to the arthroplasty procedure including determining (i) a lower bound and (ii) an upper bound for the personalized risk interval; and providing an output indicative of the risk interval.

The utility model discloses a caliper trimming deformation testing fixture, which comprises an angle regulator fixedly arranged at the upper part of the bottom side surface of a testing fixture platform, two vertical detection cylinder head auxiliary positioning blocks, two pairs of vertical detection support lug positioning blocks, a casting vertical placement platform block, a vertical detection arc back auxiliary positioning block, two pairs of parallel detection support lug positioning blocks, two parallel detection cap caliber positioning blocks and two casting parallel placement platform blocks are arranged on the upper surface of the detection tool platform. And two casting vertical placing blocks and two casting parallel placing blocks are arranged. The detection tool for detecting the trimming deformation of the calipers meets the actual detection and use requirements of the calipers, and compared with a common detection tool, the detection of deformation in the parallel and vertical directions and the detection of a riser neck are added, so that the problems of fracture risk caused by deformation and assembly interference caused by too high riser diameter are effectively avoided; the detection tool is additionally provided with the angle adjuster, the angle of the platform can be adjusted at will during detection, and the detection tool is suitable for various workers and high in comfort.

The present application relates to a kind of vertebral body fracture postoperative secondary fracture risk prediction model, construction method and prediction system, including the multidimensional data of collection research object;The multidimensional data of the research object meeting the requirements is standardized pre-processing;Fractured vertebral body positioning sub-network is constructed, and the output ROI of injured vertebra is input into image parameter measurement sub-network, and the output result is converted to obtain standardized image parameter set;Standardized image parameter set and clinical data are merged, and independent predictive factor is screened;Based on independent predictive factor, the risk prediction model of vertebral body fracture postoperative secondary fracture based on nomogram is constructed.The present application realizes the automatic, standardized extraction of multimodal image parameters by cascading CNN network, integrates multi-center patient baseline data, surgery-related data and postoperative nursing data, and can be used for accurately predicting the risk of secondary OVCF within 2 years after operation by feature screening and model construction;Solve the problems of poor generalization, strong subjectivity and insufficient patient compliance in the prior art.

The invention discloses an integrated cable bridge elbow manufacturing device suitable for multiple specifications and multiple radians, and relates to the technical field of cable bridges. The integrated cable bridge elbow manufacturing device suitable for the multiple specifications and the multiple radians comprises a supporting frame, a positioning mechanism is fixedly connected to the interior of the supporting frame, the positioning mechanism comprises two driving tables, and the driving tables are both arranged at the top of the supporting frame. According to the integrated cable bridge elbow manufacturing device suitable for the multiple specifications and the multiple radians, a whole metal plate is bent for welding, middle weld joints are reduced, the overall structural strength and mechanical performance of an elbow are improved, the fracture risk in the using process is reduced, accumulative errors, weld joint defects and structural strength loss caused by segmented splicing are eliminated, and the production efficiency is improved. And meanwhile, the guide rails achieve rapid remodeling, special tools do not need to be manufactured for the elbows with different radiuses, and the tool preparation time is greatly shortened.

The invention provides a real-time early warning method for a falling accident of an anti-falling slow descending device, which comprises the following steps of: after evaluating a load concentration area, identifying spatial distribution of multi-point tension load and wear degree, and identifying a core position and an influence range of an abnormal tension area; according to the core position and the influence range of the abnormal tension area, the tension dispersion degree among the multiple point positions of the whole rope is evaluated, and an early warning critical value corresponding to each position is updated; the position where the real-time tension load exceeds the corresponding early warning critical value and the abrasion degree is abnormal is evaluated as a fracture risk point, and the position of the rope section where the fracture risk point is located is marked; identifying an expansion path spreading from the rope section position where the potential fracture risk point is located to the adjacent rope section, and extracting the attenuation rate and the residual bearing capacity of the overall bearing capacity; and when the attenuation rate of the overall bearing capacity is evaluated to be increased in an accelerated mode and the residual bearing capacity approaches the overall fracture critical point of the rope, a fracture early warning signal is output to the anti-falling slow descending device.

This invention discloses a screw fracture prevention method based on vibration testing of wall-mounted products, comprising: selecting screws that meet predetermined standards; using an accelerometer to monitor the vibration value at the installation point of the wall-mounted equipment in real time; adjusting the input control of the test bench; conducting a pre-test before the formal test, and then tightening the screws a second time after the pre-test; during the formal test, monitoring the root mean square value of acceleration or the peak value of the time-domain signal at the equipment installation point in real time, judging the screw fracture risk based on the root mean square value of acceleration or the peak value of the time-domain signal, and terminating the test when a fracture risk is detected. By adjusting the input control of the test bench, the vibration input level is controlled to prevent overtesting, reducing the risk of screw fracture due to vibration overload from the source. Pre-testing and secondary tightening eliminate preload loss, reduce the risk of stress concentration, and improve the uniformity and stability of preload. This achieves early warning of fracture risk, gaining time for downtime and loss mitigation.

The utility model relates to the technical field of furniture, and provides a detachable bedstead. The bed frame comprises a head-tail assembly, a side edge assembly and a supporting assembly. The head-tail assembly comprises a bed head strip and a bed tail strip which are oppositely arranged; the side edge assembly comprises a first side strip and a second side strip which are oppositely arranged. The supporting assembly comprises a first supporting leg, a second supporting leg, a third supporting leg and a fourth supporting leg. The head-tail assemblies, the side edge assemblies and the supporting assemblies are connected through mortise and tenon joint structures. The mortise and tenon joint structure comprises a mortise, and a reinforcing plate is arranged on the surface of the periphery of the mortise. According to the detachable bedstead provided by the utility model, through the reinforced tenon-and-mortise structural design, the fracture risk at the mortise is remarkably reduced, the overall connecting structural components of the bedstead are simplified, the detachable connecting part is more stable and firmer during use, the quality of the bedstead can be effectively improved, and the service life of the bedstead can be effectively prolonged. Meanwhile, due to the adoption of the reinforced tenon-and-mortise structural design, the disassembling and assembling steps are few, the operation is convenient and fast, and the practicability of the bed frame is high.

The invention discloses a high-low staggered spine protection spring bed core structure which comprises a plurality of high springs and low springs, and the high springs and the low springs are arranged side by side to form a support of a bed core; the upper end of the high spring is higher than the upper end of the low spring, and the upper end of the low spring is provided with compensation sponge. According to the invention, the springs with height difference are adopted to form high-low staggered support, and the high-low difference of the springs is compensated through the compensation sponge, so that different elastic support effects at different positions of the bed core are realized; and the compensation sponge is arranged at the upper end of the low spring to compensate the height difference between the low spring and the low spring, so that the elastic difference transition is smoother, the local stress concentration of the high spring due to initial compression is reduced, and the dislocation abnormal sound and fracture risk of the spring are reduced.

The invention relates to the technical field of medical diagnosis, and particularly discloses an osteoporotic fracture risk assessment method and a prediction model for the elderly, and a Nomogram risk prediction model is constructed by detecting the Non-HDLc / ApoB ratio of an elderly osteoporotic patient and combining factors such as a bone reconstruction balance parameter (BL), a bone transition rate (MoT) and age. The invention reveals that the Non-HDLc / ApoB ratio has significant association with the OPF risk and has nonlinear association close to statistical significance, the safety interval is 3.819-4.522, and accurate screening and individualized intervention of the OPF risk are realized based on the ratio. Model verification shows that the consistency index (C-index) is 0.732, and good clinical applicability is achieved.

This invention relates to the field of fracture risk prediction technology, and particularly to a method and system for constructing a fracture risk prediction model for diabetic osteoporosis. The method involves collecting bone metabolism data and hip and spine bone density computed tomography images from diabetic patients to construct a multi-dimensional three-dimensional model of bone tissue microstructure. Based on this model, blood glucose fluctuation-bone strength mapping is performed to calculate the trabecular fragility increment and identify the pre-gradient feedback characteristics of brittle mechanical signals to obtain brittle mechanical pre-gradient feedback data. Phase shift analysis of bone stress signals is then performed on the above data to extract phase shift feature data and construct a fracture risk prediction model for diabetic osteoporosis. Finally, dynamic assessment and remote monitoring of the patient's fracture risk are conducted. This method integrates three-dimensional bone microstructure modeling, blood glucose fluctuation impact analysis, and artificial intelligence prediction, improving the early warning accuracy of diabetic osteoporotic fractures.

The utility model provides a titanium mesh for oral implantation, which not only can be conveniently taken out in sections, but also can reduce the risks of displacement and breakage during placement, and relates to the technical field of oral implantation. The oral implant titanium mesh comprises a bent arch-shaped titanium mesh body, the titanium mesh body comprises a titanium mesh edge and a pore structure arranged in the titanium mesh edge, a weak structure easy to break is arranged on the side face of one side of the titanium mesh body, and the weak structure easy to break comprises a groove body extending from one end of the titanium mesh body to the other end of the titanium mesh body. At least one supporting rod group is arranged in the groove body; the supporting rod set is composed of two supporting rods which incline towards the two sides of the width direction of the groove body respectively and intersect in an X mode, and the two ends of each supporting rod are connected with the inner walls of the two sides of the groove body respectively. A fracture guide groove is formed in the intersection position of the two supporting rods of the supporting rod set. According to the utility model, the flap turning area when the titanium mesh is taken out in the later period can be reduced, and the treatment effect of the bone increment surgery can be better ensured.

The invention discloses an osteoporosis fracture risk identification system, and relates to a fracture risk identification system. The invention aims to solve the problems that DXA or QCT detection cannot clearly determine the risk of osteoporotic fracture of a patient, the detection accuracy is not enough, and the patient with high risk of fracture cannot be effectively and timely identified. The system comprises a CT image acquisition module, a data transmission unit and a data processing and display unit, the CT image acquisition module is used for acquiring an in-vivo lumbar vertebra CT image of a human body and transmitting acquired image data to the data processing and display unit through the data transmission unit; the data processing and displaying unit calculates and outputs the fracture risk level according to the bone structure parameters of the annular area of the boundary of the cortical bone and the cancellous bone of the lumbar vertebra body, namely the transition zone area of the cortical bone and the cancellous bone. The invention belongs to the field of medical instruments.

The invention relates to the technical field of high-strength steel detection, in particular to a stress-attenuation-based method for testing the fracture limit hydrogen content of a high-strength steel material for an automobile, which comprises the following steps of: obtaining the static stress attenuation of the material by adopting a slow strain rate testing method, and obtaining the hydrogen content after fracture by utilizing a thermal desorption analysis method. And obtaining the fracture limit hydrogen content of the material according to the relationship between the hydrogen content and the fracture stress. The method has the beneficial effects that the fracture limit hydrogen content can serve as a hydrogen content threshold value for safe use of the material, the hydrogen concentration in the material or in the environment is controlled to be lower than the critical value, the hydrogen-induced delayed fracture risk can be remarkably reduced, the hydrogen-induced delayed fracture risk can be effectively reduced, and safer application of ultrahigh-strength steel in the lightweight field is promoted.

The application provides application of uterine mesenchymal stem cell exosomes in preparation of drugs for preventing and treating osteoporosis, and belongs to the technical field of biological medicine. The uterine mesenchymal stem cell-derived exosomes provided by the application have extremely low immunogenicity and good biological safety, avoid the immune rejection and adverse reactions possibly caused by traditional drugs or cell therapy, can be effectively targeted to the skeletal system, especially the diseased bone marrow microenvironment, and realize precise drug delivery; the exosomes not only can effectively increase bone density and improve bone microstructure, but also can improve the biomechanical strength of the skeleton, significantly reduce the risk of fracture; in addition, the preparation process is mature and stable, and as a natural cell-free therapeutic product, the exosomes avoid the ethical and safety concerns related to live cell transplantation, and provide a new strategy with great clinical application potential for the prevention and treatment of osteoporosis.

The invention relates to the technical field of medical artificial intelligence and blood tumor clinical crossing, in particular to a multiple myeloma patient fracture risk early warning system based on deep learning, which comprises a data acquisition module, a multi-modal fusion module, a prediction model module, an interpretability module and an early warning push module. The data acquisition module acquires dynamic multi-modal data; after the features are extracted by the multi-modal fusion module, dimensions are unified through a full connection layer, and weight fusion is allocated according to pathological association; the prediction model module outputs the fracture risk probability of the patient in the next six months through a Transform prediction model, and optimizes the prediction model by taking fracture risk prediction as a main task and bone metabolism deterioration trend prediction as an auxiliary task; the interpretability module quantifies the contribution degree of each dynamic feature to a risk prediction result, and generates a text report of association between the change of each dynamic feature and the risk; and the early warning pushing module generates early warning information according to the fracture risk probability, and pushes the early warning information and the text report to the user terminal after grading and labeling the early warning information and the text report.