10 results about "Joint contact" patented technology

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

The utility model provides a multi-curvature ankle joint prosthesis which comprises a tibia prosthesis connected with a tibia, a talus prosthesis connected with a talus and a cushion block with one side connected with the tibia prosthesis, a joint contact surface is arranged on the other side of the cushion block, and a talus contact surface matched with the joint contact surface is arranged on one side of the talus prosthesis. The curvature of the sagittal plane Z in the talus contact face is reduced from front to back, and the instantaneous rotation center of the talus prosthesis on the joint contact face is in an arc shape. According to the multi-curvature ankle joint prosthesis, the talus contact face and the anatomical structure of the human body are high in consistency, the natural form and the motion mode of the ankle joint are accurately restored, the ankle joint prosthesis better conforms to biomechanics and kinematics in the motion process, the motion stability of the human body is improved, local friction stress of the ankle joint prosthesis is smaller, and the ankle joint prosthesis is more stable in motion. And the service life of the ankle joint prosthesis is prolonged, so that the durability of the ankle joint prosthesis is improved.

The invention relates to the field of orthopedic surgery risk assessment, in particular to an orthopedic surgery risk assessment method and system. The method comprises the following steps: acquiring preoperative data and intra-operative data of an orthopedic surgery of a patient, performing data preprocessing on the preoperative data and the intra-operative data, and extracting bone microstructure spatial features in initial orthopedic surgery data by using a cascade feature extraction network; calculating an association weight of the image data and the biological signal through a cross-modal attention mechanism, and constructing a patient specific skeleton model based on finite element analysis to perform real-time scene simulation on the characteristic orthopedic surgery data; the influence of joint contact stress distribution under different osteotomy angles, a bone implant interface micro-motion threshold after implantation of an internal fixation instrument and hemodynamic changes on a bone healing microenvironment is simulated in real time, complications caused by misoperation are remarkably reduced, and the success rate of an operation is increased.

This invention relates to the field of orthopedic surgical risk assessment, and in particular to a method and system for orthopedic surgical risk assessment. By acquiring preoperative and intraoperative data of a patient's orthopedic surgery, the method preprocesses the preoperative and intraoperative data, extracts the spatial features of bone microstructure from the initial orthopedic surgical data using a cascaded feature extraction network, calculates the correlation weights between imaging data and biological signals through a cross-modal attention mechanism, and constructs a patient-specific bone model based on finite element analysis to simulate the characteristic orthopedic surgical data in real time. The method simulates the distribution of joint contact stress at different osteotomy angles, the impact of micromotion thresholds at the bone implant interface and hemodynamic changes on the bone healing microenvironment after internal fixation device implantation, significantly reducing complications caused by improper operation and improving the surgical success rate.

The utility model relates to the field of medical blood collection relates to a novel blood collecting tube, its and base joint, base sets up on the storage box, including blood collecting tube body, the cap that buckles on blood collecting tube body, set up on the pressing subassembly of cap and set up on the self -locking subassembly of blood collecting tube body, drive the part structure on pressing subassembly can make it with self -locking subassembly joint or each other separate from each other. The utility model discloses through pressing pressing head movement, makes it drive inclined block movement and first joint contact, realizes the mutual locking between cap and blood collecting tube body after blood collection again, can effectively avoid the loosening of cap even accidental drop caused by external force factor, can avoid the impurity into blood collecting tube and pollute sample. Through pressing pressing head again, make the inclined block continue to move and third joint contact, while the inclined block promotes second joint movement and first joint contact, cap and blood collecting tube body are unlocked, can pour out the sample in the inside fast, simple operation, convenient to use.

The application provides a finger partial defect repair fixed-point matching method and system. The method constructs a multi-pose three-dimensional reconstruction model based on first three-dimensional medical image data and second three-dimensional medical image data of a finger to be repaired, and obtains a three-dimensional template model of a complete finger. Then, the three-dimensional template model is mapped to a first pose and at least one second pose to obtain a template multi-pose model. Then, a fixed-point matching relationship and corresponding deformation parameters between residual phalanges and corresponding anatomical points on the three-dimensional template model are determined. Finally, based on the fixed-point matching relationship and the deformation parameters, a fixed-point matching result for repairing a finger partial defect area is generated to ensure that the fixed-point matching result and the residual phalanges not only match well in each static pose, but also maintain stable joint contact relationship and soft tissue strain state in the continuous process of postoperative flexion and extension movement.

The invention discloses a construction method and application of a calculation model of varus knee joint contact stress, and the method comprises the steps: setting a femur and femur cartilage of a knee joint as first elastomers, setting a tibia and tibia cartilage as second elastomers, respectively setting a high-elasticity-modulus layer and a low-elasticity-modulus layer, applying a normal force to the high-elasticity-modulus layer and introducing a modification coefficient, obtaining the corrected contact radius and peak pressure, and constructing a dynamic equilibrium equation of the introversion knee joint; adding meniscus parameters, and constructing a peak contact stress model of double contact areas of the introversion knee joint; constructing a strain function for the low-elastic-modulus layer by adopting a Yeoh model to obtain the elastic modulus of the meniscus material during large strain; inputting the image data, the introversion angle and the load parameters of the subject into the mathematical model of the peak contact stress of the knee joint, comparing the obtained analytical solution with the numerical solution of the finite element model, and if the analytical solution is within a preset range, proving that the mathematical model is correct, and applying the mathematical model to the optimization application of the artificial meniscus and the knee joint prosthesis.

The utility model relates to the technical field of three -way joint, specifically disclose a wear -resisting three -way joint, including three -way joint, two horizontal joint's bottom is provided with wear -resisting structure, wear -resisting structure includes integrated mounting panel and wear plate, is set up on wear plate multiple wear -resisting recess, integrated on wear plate multiple wear -resisting convex, multiple wear -resisting recess and multiple wear -resisting convex interval arrangement, through setting wear -resisting structure in the vertical joint's right below, can reduce the impact of water flow buffering and the long -term wear and tear of water flow to the inner wall bottom end of horizontal joint, specifically when water flow flows down from the vertical joint, water flow and multiple wear -resisting recess and multiple wear -resisting convex on wear plate contact, and then through multiple wear -resisting recess and multiple wear -resisting convex can disperse water flow, slow down the impact of water flow, avoid the water that flows down from the vertical joint directly with the inner bottom end of horizontal joint contact to realize the effect of wear -resisting protection to three -way joint.

This invention discloses an IMU-based method and system for predicting lower limb joint dynamic parameters. The method includes the following steps: acquiring kinematic data of key rigid bodies in the lower limb kinetic chain using four inertial measurement units (IMUs) configured at specific locations on the lower limb; preprocessing the kinematic data to construct a temporal input feature tensor; inputting the temporal input feature tensor into a pre-trained deep learning prediction model to obtain a fused feature vector; the deep learning prediction model performing split decoding on the fused feature vector, mapping it to different task branches; the multi-task branches simultaneously outputting the joint contact forces and torques of the hip, knee, and ankle joints; and the system integrating the aforementioned IMU-based method for predicting lower limb joint dynamic parameters. This invention achieves real-time, high-precision synchronous prediction of contact forces and torques of the hip, knee, and ankle joints using only IMU sensors, and is suitable for rehabilitation assessment and motion monitoring.

The utility model relates to the technical field of pipe joints, and discloses a single-button detachable quick connector, which comprises a connector body and a single-button lock catch, and is characterized in that the connector body comprises a sleeving part and an inserting part, the inserting part is used for being fixedly connected with one end of a pipe in a pipeline, and the other end of the pipe in the pipeline is fixedly connected with the single-button lock catch. The sleeving part is used for being fixedly connected with a male connector in an inserted mode, an installation inserting opening is formed in the sleeving part, the single-button lock catch is detachably fixed to the installation inserting opening, all the anti-skid ribs are fixed to the side, facing the inserting part, of the single-button lock catch, and when the lock catch makes contact with the male connector, the larger the contact force is, the larger the contact force is, due to the effect of the anti-skid ribs, the larger the contact force is. In a general state, the lock catch is pressed, the lock catch is opened, and the unlocking male connector can be pulled out.