107 results about "Fracture risk" patented technology

The invention discloses a soil-rock composite formation hob fracture avoidance method based on FEM-DEM coupling, and relates to the technical field of tunnel and underground engineering, and the method comprises the steps: building a hob cutting model based on a finite element-discrete element coupling method; generating a soil rock calibration parameter according with the input of the hob cutting model; calculating a cutting force curve of hob impact under any working condition by using the hob cutting model, and extracting the maximum value of the cutting force curve as a load peak value; extracting a cutter ring stress peak value corresponding to the moment of the load peak value; and calculating the current comprehensive equivalent stress of the hobbing cutter ring based on the limit stress, comparing the comprehensive equivalent stress with the dynamically matched yield strength threshold, and judging the risk level of the hobbing cutter ring. According to the method, refined simulation of the whole rock breaking process of the hobbing cutter in the soil-rock composite stratum is achieved, the transient impact load peak value and the induced cutter ring limit stress distribution are captured, and the fracture risk identification precision is remarkably improved.

The invention provides a wind driven generator variable-pitch high-strength bolt fracture detection method, and relates to the technical field of bolt fracture detection, and the method comprises the following steps: arranging a strain sensor and an acceleration sensor at a bolt of a variable-pitch bearing; judging whether a fracture risk exists or not according to the values of the strain sensor and the acceleration sensor to obtain a first judgment result; if the first judgment result is no, no processing is carried out, and if the first judgment result is yes, ultrasonic detection data of the bolt are extracted through ultrasonic detection; and based on the ultrasonic detection data, carrying out fracture risk grade grading on the bolt through the crack discrimination model. The method has the advantages of high timeliness and high reliability for bolt fracture detection.

The invention relates to the field of medical imaging analysis, and discloses a bone trabecula feature construction method and system, and the method comprises the steps: preferentially extracting a fragile region from an obtained vertebral image sequence, and generating an initial feature set representing the stability of a fine-grained structure; performing coherence comparison on the initial feature set in a cross-slice dimension to obtain a composite feature vector capable of reflecting the vulnerability level of the structure; based on the composite feature vector, a connectivity change curve of the bone trabecula in a loading environment is extracted by adopting a multi-layer progressive clustering mode, and candidate bone trabecula units with potential micro-damage trends are marked; classifying the candidate bone trabecula units according to risk gradients, and reconstructing a bone trabecula local topology network with weight levels; and according to the local topology network, identifying high-risk nodes showing an imbalance tendency in a specific mechanical simulation period, and generating a feature construction path finally used for micro-fracture risk prediction. The method has the advantage of improving the micro-fracture risk prediction sensitivity.

The invention provides an artificial intelligence-based ice rock mass crack monitoring and early warning method and system, and the method comprises the steps: collecting real-time geological fluctuation data including sound wave reflection, stress distribution and temperature change signals through a multi-mode sensor array disposed on the surface of an ice rock mass, inputting the real-time geological fluctuation data into a pre-trained multi-dimensional feature fusion model, and carrying out the real-time geological fluctuation data fusion; and extracting a crack feature vector containing parameters such as crack space coordinates and the like. And calling a spatio-temporal evolution prediction model to carry out time sequence analysis on the feature vector, generating a probability distribution diagram containing a crack propagation direction and a critical fracture risk level in a future preset time period, and when the critical fracture risk level in the probability distribution diagram exceeds a preset threshold value, triggering an early warning signal and generating an emergency support scheme. According to the scheme, support point coordinates, support strength parameters and construction time sequence instructions are covered, effective monitoring and early warning of ice rock mass cracks are achieved, and targeted emergency measures are provided.

The invention discloses an artificial intelligence-based osteoporosis risk assessment method and system. The method comprises the steps of receiving feedback information of a first user for an online osteoporosis risk questionnaire; according to the feedback information, determining a first risk score that the first user suffers from osteoporosis; screening a second user with a potential osteoporosis risk according to the first risk score; acquiring historical diagnosis and treatment information of the second user in each networked hospital, and searching diagnosis and treatment data related to osteoporosis diagnosis; and if the diagnosis and treatment data is found, based on the diagnosis and treatment data, determining a second risk score that the second user suffers from osteoporosis by using a pre-trained osteoporosis risk assessment model based on artificial intelligence, and sending the second risk score to the second user terminal. By utilizing the embodiment of the invention, the osteoporosis risk can be evaluated in real time in combination with the artificial intelligence technology, the screening efficiency of the osteoporosis is improved, the fracture risk is reduced, and the management and intervention effects of the osteoporosis are improved on the public health level.

The invention discloses a prediction method and a prediction system for fracture risk of an osteoporosis patient. The method comprises the following steps: firstly, collecting a plurality of parameters such as age, bone mineral density, vitamin D level and the like of the patient; constructing a bone time-varying factor and dynamic prediction model, and determining the influence weight of each parameter on the bone condition at different time nodes; then, a three-dimensional mechanical model is constructed through mechanical simulation of the skeleton microstructure, stress distribution, strain states and structural stability of the skeleton under different loads are simulated, and the model is corrected by fusing parameters to influence weights; then the fracture probability in a future preset time period is calculated; and finally, a result is presented through a nomogram visualization model. The system realizes the above method, can predict the fracture risk more accurately, and provides powerful support for clinical diagnosis and treatment.

The invention provides an osteoporosis fracture risk prediction method and system based on multi-modal imageomics. The method comprises the following steps: S1, acquiring multi-modal image data of the lumbar vertebra of a user; s2, performing feature correction according to the acquired multi-modal image data to obtain a time-space aligned multi-modal feature tensor; s3, according to the obtained multi-modal feature tensor, the integrity of the bone microstructure at each position is evolved based on the trained bone microstructure evolution model, and a bone microstructure integrity evolution result is obtained; and S4, according to the obtained bone microstructure integrity evolution result, extracting a fracture risk characteristic part, and further performing fracture risk prediction on the fracture risk characteristic part to obtain a fracture risk prediction result. According to the invention, the accuracy and reliability of osteoporotic fracture risk prediction can be improved.

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 invention relates to a method for evaluating the hydrogen-induced delayed fracture risk of high-strength steel. The method comprises the following steps: stretching a notch sample to be measured at a strain rate in a range of 3.0 * 10 <-6 >-6.0 * 10 <-5 > s <-1 > until fracture so as to obtain a fracture stress sigma H, and stretching a reference notch sample at a strain rate in a range of 6.0 * 10 <-2 >-10.0 s <-1 > until fracture so as to obtain a reference fracture stress sigma 0; and evaluating the hydrogen-induced delayed fracture risk by using a hydrogen embrittlement risk index HERI = (sigma0-sigmaH) / sigma0 * 100%. According to the evaluation method, the influence of hydrogen in the high-strength steel on the performance can be accurately reflected, the test process is simplified, and rapid inspection on a production site is facilitated. The invention also relates to a method for determining the available dew point range of an austenitizing process for producing a hot-stamped product with an aluminum-silicon coating, which is resistant to hydrogen-induced delayed fracture.

The present application relates to the technical field of oil and gas, and discloses an optimization method for a barrier-encircling trajectory of a infill well, which comprises the following steps: step 1, establishing a geometric model of a fracture risk zone; step 2, establishing a formula for the perpendicular distance from a point on a direction line to the axis of a main fracture and a formula for a collision-preventing radius; step 3, calculating the nearest point from the fracture risk zone on a starting direction line and a target direction line; step 4, optimizing the trajectory design type; step 5, setting the constraint conditions for the designed trajectory of the well to be drilled; step 6, calculating the seepage ellipsoid volume and intersection volume of the main fracture; step 7, considering the interference effect of the main fracture, calculating the daily production capacity of the block to be drilled; and step 8, calculating the development cost and income of the block to be drilled; taking the net present value as a target function, solving the optimal barrier-encircling trajectory length, and completing the optimization of the barrier-encircling trajectory of the infill well. The present application can make the optimized trajectory safely bypass the fracture risk zone and have the optimal economic benefit.

The present invention addresses the problem of providing a method for detecting a disease having a high risk of fracture.　Provided is an antibody specifically recognizing extracellular matrix protein 1 (ECM1), the antibody being characterized by: recognizing an epitope on ECM1 having the amino acid sequence represented by positions 20-540 of SEQ ID NO: 10, the epitope being located within positions 194-279 or 454-540 of SEQ ID NO: 10; or recognizing an epitope on a polypeptide having an amino acid sequence with at least 90% identity to the amino acid sequence represented by positions 20-540 of SEQ ID NO: 10, the epitope being located within positions corresponding to positions 194-279 or 454-540 of SEQ ID NO: 10.

CT images from the neck, lung, cardiac, abdominal, pelvis, hip, spine or lower extremity areas are obtained and analyzed by a computer to measure trabecular bone density on each level it is available, in the spine and hip. Any bone tissue associated with vertebrae that is fractured is excluded, along with Schmorl's nodes, large blood vessels, and cortical bone, to accurately average the trabecular bone density on a scan. The density of fat, heart, and muscle tissue of a subject is used to calibrate the results. That data may be input to an absolute fracture risk model (Fracture Risk Algorithm calculator). Information such as bone density, T score, Z score, fracture risk, and identification of vertebral fractures (if present) may be determined and reported.

The invention provides a construction method and equipment of a fracture risk prediction model, a medium and a program product, and relates to the field of intelligent medical treatment. The method comprises the following steps: acquiring basic data of a T2DM osteoporosis patient as a training set sample; the training set samples are divided into a fracture group and a fracture-free group; performing statistical analysis on the basic data, representing continuous variables conforming to normal distribution by using mean + / -standard deviation, and comparing the difference between the two groups through independent sample t inspection; adopting median and quartile to describe continuous variables which do not conform to normal distribution; through single-factor and multi-factor analysis, screening fracture influence characteristics of the osteoporosis patient from the basic data; and constructing a prediction model of the fracture risk of the osteoporosis patient based on the prediction variables. A special group of postmenopausal female diabetes is used as a research object, difference characteristics are analyzed, a prediction model is constructed, and early prevention and treatment of osteoporosis fracture patients are achieved.

The present invention relates to a bio-resorbable calcium composite lag screw to achieve compression in small bone fractures. The design features allow for reliable insertion reducing the risk of fracture by having an internal geometry of the screw wherein an inserter or driver used to insert the screw applies force only to the threaded portion of the screw distal from the inserter or driver, reducing the risk of screw breakage on insertion.

The invention provides a myriameter deep well pipe column structure and a design and construction method thereof. The myriameter deep well pipe column structure comprises a well bore structure, and the well bore structure sequentially comprises a guide pipe, a technical casing, a technical tail pipe and a production casing from top to bottom; the high-strength drilling tool assembly sequentially comprises a drill rod assembly, a drill collar assembly, a drilling tool check valve and a drill bit from top to bottom; wherein the drill collar assembly comprises a plurality of conventional drill collars and non-magnetic drill collars, and centralizers are arranged between the conventional drill collars and the non-magnetic drill collars. According to the myriameter deep well pipe column structure, casing pipe layers are matched according to stratum characteristics, compared with the prior art, the casing pipe layers are reduced, and the grading pipe column structure resistant to high temperature and high pressure and high in safety redundancy is designed; and a high-strength drilling tool combination and a matched anti-failure process are developed, and the fracture risk of the drill column is reduced. According to the design method and the construction method, fine pressure control and well body quality control technologies are integrated, and safe drilling of a complex stratum is achieved; and a well cementation and well completion integrated scheme suitable for myriameter-level well depth is provided.

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 invention relates to a distal tibiofibular joint injury fixing device and a using method, and belongs to the technical field of medical instruments.The distal tibiofibular joint injury fixing device comprises a fixing plate, a cable and a plug, the cable is a structural part formed by a titanium wire, the cable comprises a hanging ring part, a double-strand part and a bifurcation part, the hanging ring part and the bifurcation part are arranged at the two ends of the double-strand part, and the plug is connected with the hanging ring part. A stud is arranged on the fixing plate, the hanging ring portion is hung on the stud in a sleeved mode, the stud is provided with a nut used for pressing the hanging ring portion, the plug is arranged at the end, away from the double-strand portion, of the forking portion to pre-tighten the cable, the structure is adopted, the double-strand portion formed by the cable has higher structural strength, the fracture risk is reduced, the hanging ring portion is pressed and fixed through the nut, and the cable is not prone to fracture. The cable and the fixing plate are connected more firmly, the cable made of the titanium wires has good elasticity, flexibility and plasticity, the cable is pre-tightened by connecting the forked part through the plug, the risk of creep relaxation is reduced, the cable is more suitable for movement and deformation of bones and tissues, and joint micro-movement is not limited.

The application provides a medical MCL femoral insertion avulsion repair instrument and method based on mesh suture and bone cement wrapping, and belongs to the technical field of femoral insertion avulsion repair instruments. The instrument comprises a first limiting framework, one side of the first limiting framework is provided with a second limiting framework, and the two sides of the first limiting framework and the second limiting framework are provided with a binding body; an auxiliary limiting mechanism is used for strengthening the stability of the device structure and assisting in suture surgery, and the auxiliary limiting mechanism is connected with the second limiting framework. The auxiliary limiting mechanism can effectively avoid the increase of instrument loss and suture needle fracture risk, effectively improve the working efficiency of suture, and the cooperation of the first limiting framework, the second limiting framework and the binding body can also well limit the legs of the patient during the operation, and can also protect the legs of the patient after the operation.

The invention discloses a fracture risk prediction method and system, and relates to the technical field of health management. According to the prediction method, serious sarcopenia is selected to diagnose and assess the sarcopenia state, the ratio of monocytes to lymphocytes reflects the immune inflammation level, the prediction model is constructed in combination with the femoral neck bone mineral density T value, and the fracture risk influence factors are comprehensively covered; and the risk identification capability on special high-risk groups with sarcopenia, immune dysfunction and the like is effectively improved. And secondly, only three target independent variables are selected, and the three target independent variables are indexes which can be directly obtained or simply calculated in clinical routine examination, so that the data collection difficulty is greatly reduced. Meanwhile, the prediction model is visualized through a column diagram, complex calculation is not needed, a clinician can quickly inquire the fracture risk score through the actual value of the target subject, and the method is suitable for being efficiently applied to conventional outpatient service, hospitalization and other scenes.

The invention relates to the technical field of health monitoring systems, and provides a fracture prediction system combining a multi-dimensional image technology and artificial intelligence, which comprises an image acquisition terminal, a data processing terminal, a prediction analysis terminal and a user feedback terminal, the image acquisition terminal is used for acquiring multi-dimensional image data of a predicted object; the data processing terminal is used for performing preprocessing and feature extraction on the multi-dimensional image data to generate bone density information, bone structure integrity information and crack detection information; the prediction analysis terminal is used for performing prediction analysis on the prediction object according to the bone density information, the bone structure integrity information and the crack detection information and outputting prediction analysis information; and the user feedback terminal is used for providing a doctor-patient interaction interface and displaying bone density information, bone structure integrity information, crack detection information and prediction analysis information. The method has the effect of improving the accuracy and reliability of fracture risk prediction.

The invention provides a track fastener elastic strip breakage visual detection method, system and device, and relates to the technical field of track fastener detection.The method comprises the steps that a track panoramic top view is collected; preprocessing the track panoramic top view to obtain a unit fastener image; based on an elastic strip semantic segmentation model, performing pixel-level segmentation on the unit fastener image to obtain an elastic strip mask; based on the elastic strip mask, extracting a skeleton line through a morphological refinement method; and based on the skeleton line, the fracture risk is identified and quantified through a multi-dimensional feature analysis method. According to the scheme, fractures can be accurately identified and quantitatively graded, so that railway maintenance personnel can intuitively and accurately evaluate the severity of the fractures, and thus a maintenance strategy can be scientifically formulated; according to the scheme, through a multi-dimensional verification mechanism, the misjudgment rate is remarkably reduced, so that the reliability of a detection result is improved, and the manual rechecking cost is reduced.

The invention relates to the field of cross arm hoops, and provides a corrosion-resistant hoop and a preparation method thereof. The corrosion-resistant hoop is prepared from the following components in percentage by weight: 0.35 percent to 0.45 percent of C, 0.4 percent to 0.6 percent of Si, 1.8 percent to 2.5 percent of Mn, 1.2 percent to 1.8 percent of Cr, 0.8 percent to 1.2 percent of Ni, 0.25 percent to 0.35 percent of Mo, 0.11 percent to 0.23 percent of composite rare earth, 0.15 percent to 0.25 percent of V, 0.03 percent to 0.07 percent of Nb, 0.003 percent to 0.008 percent of Al, 0.02 percent to 0.04 percent of B, 0.015 percent to 0.03 percent of N and the balance of Fe and other inevitable impurities. According to the corrosion-resistant hoop provided by the invention, the local corrosion resistance of the hoop in a complex environment is improved, the problems of mechanical property reduction and fracture risk are improved, and safe operation of an electric power circuit is guaranteed.

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 utility model discloses an ulna coracoid process bone fracture plate through anterior approach, bone setting of ulna coracoid process is achieved through anterior approach, the bone fracture plate is of a T-shaped structure, the total length of the bone fracture plate is smaller than 2.5 cm, the bone fracture plate comprises an adaptive plate and a fixing plate which are in angle connection, the adaptive plate is located above the fixing plate, the adaptive plate is used for being matched with a far-end lateral column of the ulna coracoid process, and the fixing plate is used for being matched with the far-end lateral column of the ulna coracoid process. The adaptive plate comprises a positioning hole and suture holes formed in the two sides of the positioning hole; the fixing plate is narrower than the adaptive plate, an adjusting hole and a fixing hole are formed in the fixing plate, the adjusting hole is located between the positioning hole and the fixing hole and used for achieving adaptive adjustment of the bone fracture plate and the far-end outer side column, and the total length is the total distance between the top end of the adaptive plate and the bottom end of the fixing plate. According to the bone fracture plate, the matching stability of the bone fracture plate and the front portion of the elbow joint after bone fracture is improved, stimulation to local soft tissue is reduced, the contact area between the bone fracture plate and ulna coracoid processes is increased, the fixing strength between the bone fracture plate and the ulna coracoid processes is improved, the postoperative healing effect is improved, and the stress fracture risk is reduced.

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.

The present invention relates to a bio-resorbable calcium composite lag screw to achieve compression in small bone fractures. The design features allow for reliable insertion reducing the risk of fracture by having an internal geometry of the screw wherein an inserter or driver used to insert the screw applies force only to the threaded portion of the screw distal from the inserter or driver, reducing the risk of screw breakage on insertion.