10 results about "Joint load" patented technology

The invention provides a boundary force control method and device based on gravitational equilibrium, equipment and a medium, and relates to the technical field of medical instruments. The method comprises the steps that current position information of a joint in a mechanical arm of a master console is obtained, and whether the joint enters a preset limiting buffer area or not is judged based on the information; and if so, dynamically generating a boundary force for preventing the joint from moving towards the mechanical hard limit based on the current position information and the gravitational equilibrium force of the joint. The boundary force is dynamically generated based on the current position information by setting the limiting buffer area room and taking the gravity balance force as the basis, it is ensured that generation of the boundary force is naturally matched with the joint load, and the reliability problem caused by parameter mismatching is reduced; meanwhile, as the boundary force directly derives from internal force adjustment, when the joint retreats from the limiting buffer area, the impedance force can be smoothly converged along with the position change, the residual interference force of traditional control is effectively eliminated, and therefore the reliability of preventing the joint from colliding with the hard limiting area is remarkably improved.

This invention belongs to the field of medical technology and discloses a method for collaborative optimization of joint torque and trajectory tracking control of surgical robot arms. Through biomechanical-multibody dynamics coupled modeling, it dynamically correlates tissue viscoelastic properties with joint torque, forming a "mechanics-damage" dual constraint mechanism. A memory-enhanced controller introduces a damage warning factor, adjusting torque output in real time during instrument-tissue interaction to avoid traction damage caused by excessive load on a single joint. Simultaneously, a digital twin system predicts potential risks in advance, reducing the threat of surgical operations to fragile tissues throughout the entire process from modeling and control to verification, providing safety assurance for operations in delicate surgical areas. Through phased dynamic weight optimization, it achieves adaptive adjustment of targets at different surgical stages. A multimodal sensor fusion architecture, combining flexible sensing and imaging data, improves the perception accuracy of complex tissue environments.

The invention belongs to the technical field of knee joint arbor treatment equipment, and particularly relates to a knee joint force line appliance which comprises a body and a pressure mechanism, the body comprises a main body supporting frame, a thigh binding assembly and a shank binding assembly, and the thigh binding assembly and the shank binding assembly are in sliding connection with the main body supporting frame; after sliding in place, the main body supporting frame is fixed, and then the main body supporting frame is bound to the thigh and the shank respectively; the pressure mechanism is located between the thigh binding assembly and the shank binding assembly, and the pressure mechanism applies adjustable pressure to the key position of a force line to adjust the form of the force line of the lower limb joint, reduce and improve the development speed of gonitis lesion and reduce knee joint pain. Gradient pressure is applied to the outer side, the lower limb force line is guided to be corrected towards the outer side, and joint load redistribution is achieved. The structure of the device adopts an arc-shaped fitting design conforming to ergonomics, and it is ensured that a pressure acting point is accurately located at a key position of a knee joint force line.

[PROBLEM] Provided is a joint load estimation program or the like for estimating a load of force applied to a joint of a subject on the basis of an image in which the exercise state of the subject is captured. [SOLUTION] The present invention is a joint load estimation program, which causes a computer to execute: a base exercise state acquisition step for acquiring an exercise state of a subject on the basis of an image in which the exercise state of the subject is captured; a rigid link model acquisition step for acquiring a three-dimensional rigid link model on the basis of a predetermined feature amount related to the human body of the subject; a rigid link system exercise state acquisition step for estimating the exercise state of the three-dimensional rigid link model in accordance with the exercise state of a subject 2 acquired by the base exercise state acquisition step, and acquiring exercise information about the three-dimensional rigid link model; and a joint load calculation step for calculating the joint reaction force applied to the joint tissue by inverse dynamics calculation based on the exercise information about the three-dimensional rigid link model.

The application provides a sports action correction and monitoring system based on image recognition and big data, and relates to the technical field of artificial intelligence.The data synchronization and fusion module uses big data processing technology to integrate multi-source data, eliminate space-time differences, and improve the accuracy and reliability of analysis results.The biomechanics solving module uses Lagrange equation to calculate the lower limb joint torque vector in real time, and realizes instant monitoring of the joint torque.The load optimization module uses Adam optimization algorithm to optimize the stride width and knee flexion angle through gradient descent method, minimizes the maximum joint torque, reduces the joint load of athletes, and prevents potential harm.The feedback display module transmits the optimized action parameters to wearable devices in real time, guides athletes to adjust actions in real time, and ensures the efficiency and safety of training.

This invention provides a simulation-based method for predicting the load-bearing capacity of a conical sleeve, comprising: a parameter modeling agent reading the structural, material, and loading parameters of the conical sleeve connection joint, and establishing a load-bearing simulation model including the reinforcement load-bearing domain, grouting force transmission domain, sleeve constraint domain, first interface contact relationship, and second interface contact relationship; a conversion calculation agent extracting the axial displacement sequence, radial constraint pressure sequence, and interface slip sequence based on the load-bearing simulation model, calculating the radial constraint conversion efficiency, and establishing a digital constraint valve model; a constraint identification agent identifying the constraint opening position, peak constraint position, and constraint fallback position, and generating a set of effective constraint state intervals; a load-bearing deduction agent calculating the joint load-bearing capacity and determining the failure mode sequence, critical loading step, and force transmission state; and a prediction correction agent outputting the predicted load-bearing capacity, safe constraint interval, and parameter correction results.

The invention relates to the technical field of crossing of orthopedic medical instruments and biomedical engineering, and discloses a knee joint personalized prosthesis appearance and implantation orientation modulation method and system based on anatomy-motion-dynamics contradiction resolution, and the method comprises the steps: constructing an energy functional of a skeleton-ligament-prosthesis system based on a minimum potential energy principle; knee joint motion features and ligament elasticity features are analyzed to serve as drive and constraint of the personalized skeleton-ligament-prosthesis three-dimensional point cloud model, and prosthesis parameters are iteratively optimized to solve the contradiction between anatomy and kinematics; establishing a muscle-bone (muscle-bone) model of a personalized prosthesis-knee joint, performing inverse kinematics and finite element coupling simulation, and aiming at minimizing joint load, muscle energy consumption and contact stress, eliminating dynamic contradiction; in combination with intraoperative morphology, kinematics, soft tissue elasticity and other multi-source information, personalized prosthesis assembly scheme optimization and surgical planning optimization are achieved, and knee joint replacement is promoted to be converted from empirical surgery to analytic surgery.

A leg joint of a humanoid biped robot for tendon movement control comprises a waist joint supporting piece, a left leg structure and a right leg structure are installed on the two sides of the waist joint supporting piece through lateral joint components respectively, and each of the left leg structure and the right leg structure comprises a thigh structure, a shank structure and a movement control assembly part. The bottom of the thigh structure is rotationally connected with the top of the shank structure through a knee joint structure, a foot plate structure is rotationally installed at the bottom of the shank structure through an ankle joint structure, and the motion control assembly part is installed at the top of the thigh structure, connected with a tendon-imitating driving pull wire assembly and provided with an installation outer shell. A lateral joint connecting part is arranged on the installation outer shell and used for being connected with a lateral joint component. According to the invention, excellent dynamic performance, naturalness and flexibility can be realized, far-end driving is realized, the joint load and rotational inertia are small, the joint structure stability is high, and the required initial driving force is small, so that the power consumption is lower.

The application discloses a high-strength passive ankle exoskeleton suitable for people with a weight of more than 75 kg, which comprises a proximal shank binding assembly, left-right symmetrical carbon fiber anti-torsion support strips, a rear integrated carbon fiber energy storage spring piece, an ankle adjustable angle mechanical hinge, a semi-enclosed rigid foot bottom support shell and a multi-point locking binding system. The device realizes weight load shunting through proximal shank bearing, and can reduce ankle joint load by 15%-30%. The carbon fiber spring piece realizes energy storage, buffering and ground-pushing assistance in a gait cycle. The bilateral carbon fiber support forms a wrapped anti-torsion cage, effectively limiting ankle joint varus, eversion and horizontal torsion. The mechanical hinge can realize adjustable dorsiflexion and plantar flexion angles, and has a mountain climbing locking gear. The overall structure safety factor is greater than or equal to 5.0, and the lightweight passive design can meet the high-intensity sports requirements such as running, jumping, sudden stopping and turning, outdoor mountaineering and the like, and solves the problems of large ankle joint load, easy sprain and insufficient stability of people with a large weight during sports.

The invention relates to the technical field of sports science, and discloses a sports state real-time identification and error correction prompting method and system, and the method comprises the steps: carrying out the data cleaning of an original sports number of a user, and obtaining the standard sports data of the user; extracting a three-dimensional angle change sequence of joints in the standard motion data, and generating joint angle information of the user; quantifying a limb movement track in the standard movement data to obtain limb curvature information of the user; according to a preset standard posture knowledge base, traversing the joint angle information and the limb curvature information, and generating a posture error identifier of the user; analyzing joint load distribution and motion biomechanical parameters in the posture error identifier, and generating a potential injury risk correction scheme of the user; extracting posture adjustment information in the potential damage risk correction scheme, converting and packaging the posture adjustment information, and outputting a posture correction signal of the user; according to the invention, the efficiency of motion state real-time identification and error correction prompting can be improved.