2276 results about "Knee Joint" patented technology

A humanoid robot leg that may include a shank, an ankle that includes an ankle joint that is configured to perform yaw and pitch rotations, a knee joint, multiple ankle related (AR) rotational motors that are in mechanical communication, via multiple AR transmission mechanisms, with the ankle joint, and a knee related (KR) rotational motor that is in mechanical communication, via a KR transmission mechanism, with the knee joint. The multiple AR rotational motors and the KR rotational motor are positioned above the knee joint.

The invention discloses an exercise rehabilitation assessment method and system based on limb posture and emotion recognition, and the method comprises the steps: collecting a motion video, recording the age and gender information of a patient, constructing a self-made data set, defining a candidate region containing the rehabilitation motion of the patient, constructing a basic motion posture data set, and carrying out the recognition of the rehabilitation motion of the patient based on a posture estimation algorithm. Personalized limb skeleton key points are extracted, and emotion features are obtained through face key point detection and face action unit analysis; analyzing the motion trail of the knee joint based on the personalized limb skeleton key points, and extracting limb posture information; and carrying out feature fusion on the limb posture information and the emotional features to form a quantitative rehabilitation evaluation result. According to the invention, high-precision capture of the key points of the human skeleton is realized through computer vision and pattern recognition technologies. In addition, in combination with analysis of the emotional state of the patient, the evaluation accuracy is enhanced, and the rehabilitation training effect evaluation is more comprehensive and accurate.

The invention belongs to the technical field of signal processing, and particularly relates to a lower limb motion intention recognition method and system based on electromyographic signals. The method comprises the following steps: S1, arranging electromyographic sensors on a hip key muscle group, a knee joint key muscle group and an ankle joint key muscle group in sequence, and collecting electromyographic signals; s2, performing time-frequency-space domain feature fusion and dimension reduction processing on the electromyographic signals acquired at the hip key muscle group and the knee joint key muscle group, and performing corresponding motion intention prediction by using a dynamic weight distribution method and a decoder based on an LSTM-attention mechanism; electromyographic signals collected at key muscle groups of ankle joints are processed through a muscle force distribution matrix, and meanwhile a time-varying weight adjustment strategy and impedance control are adopted for corresponding motion intention prediction; s3, according to the predicted motion intention, the system controls a direct-current brushless motor on rehabilitation training equipment, a fuzzy self-adaptive PID control method is adopted to regulate and control joint motion, and a walking posture is simulated.

The invention discloses a knee joint cartilage medical image segmentation method based on a double-flow space attention neural network, and belongs to the technical field of medical image analysis. In order to solve the problem of inaccurate segmentation of a cartilage boundary fuzzy region in an existing knee joint cartilage medical image segmentation method, one branch of a double-flow encoder module adopts deformable convolution combined with a self-attention mechanism to extract features, and the other branch of the double-flow encoder module extracts stable multi-scale features through a multi-layer convolution module; fusing the double-flow features through a double-branch information dynamic aggregation module; on the basis of shape priori knowledge, performing adaptive fusion on anatomical priori knowledge and the feature map through a space attention mechanism; and the cross-branch interaction enhancement module adopts an improved Inception structure to recover image details layer by layer, and finally knee joint cartilage medical image segmentation is realized.

The invention provides a tibial plateau assembly and a knee joint prosthesis with the tibial plateau assembly.The tibial plateau assembly comprises a first driving part arranged on a tibial plateau and hinged to a tibial pad, the first driving part has a first driving state and a first static state, and when the first driving part is in the first driving state, the first driving part drives the tibial pad to rotate; the first driving piece can stretch out and draw back in the direction from the tibia platform to the tibia gasket; the second driving piece and the first driving piece are arranged on the tibia platform in a spaced mode, the second driving piece is hinged to the tibia gasket, the second driving piece has a second driving state and a second static state, and when the second driving piece is in the second driving state, the second driving piece can stretch out and draw back in the direction from the tibia platform to the tibia gasket; the first driving part and the second driving part are matched to adjust the distance and / or the inclination angle between the tibia gasket and the tibia platform. According to the technical scheme, the problem that the relative position between the tibia gasket and the tibia platform cannot be adjusted in the prior art is effectively solved.

A knee guard for protecting the knee of a wearer is provided including an inner sleeve that fits over the knee of the wearer covering at least front and left and right side portions of a leg of the wearer proximate the knee joint, a knee guard including an outer layer positioned over the inner sleeve proximate the knee joint and slidable with respect to the inner sleeve, the outer layer attached to the inner sleeve at left and right side portions above the knee joint and at left and right side portions below the knee joint, the outer layer not attached to the inner sleeve at the front portion adjacent the knee joint; and a protective pad secured to the outer layer and not secured to the inner sleeve and slidable with respect to the inner sleeve.

The invention discloses a preparation and measurement method of a polymer-based multi-point force flexible sensor for knee joint pose measurement, and relates to the technical field of polymer-based flexible sensors and soft measurement. The structure of the multi-point force polymer-based flexible sensor shaped like a Chinese character'ao 'is designed for knee joint stress and posture state measurement, and the flexible sensor is prepared and packaged through a silk-screen printing method. A flexible sensor strain input-output knee joint stress data mapping set and a flexible sensor strain input-pose angle output data mapping set required by modeling are completed through a flexible sensor, a thin film force sensor corresponding to multi-point force and an inertial sensor corresponding to pose angle measurement of installed multi-point force polymers. And establishing a neural network soft measurement model based on an MLP algorithm, and carrying out training and verification. And the knee joint pose angle with reliable precision and the maximum stress state of the knee joint are obtained. The sensor has the advantages of being flexible, thin, skin-friendly, high in sensitivity and stable in signal output.

The invention discloses a wearable knee joint self-powered sensing system and a use method, relates to the technical field of motion monitoring, and solves the technical problem that a motion detection sensor integrating light weight and a self-powered mode is lacked in the prior art. The motor comprises a stator part and a rotor part which are rotationally arranged, a center shaft penetrating through the stator part is arranged on the rotor part, and the stator part and the rotor part are rotationally connected through the center shaft; and a motion state monitoring module and a self-powered module are sequentially and coaxially arranged at the connecting part of the stator part and the rotor part, so that the rotation angle and direction of the knee joint are accurately detected, and key data support is provided for subsequent motion analysis and health monitoring.

The utility model relates to the technical field of knee joint braces, in particular to a self-adaptive intelligent knee joint brace. The utility model discloses a self-adaptation knee joint intelligent brace, including the splint subassembly that is used for respectively fixed on the both sides of affected limb, the bandage subassembly that can adjust the degree of tightness and main control panel, bandage subassembly includes bandage, bandage degree of tightness adjustment device and pressure sensor, bandage connects splint subassembly, is used for fixing the two splint subassembly on the both sides of affected limb, and the pressure sensor is used for the pressure sensor to adjust the degree of tightness of bandage. The pressure sensor is used for detecting the contact pressure between the bandage or the clamping plate assembly and the affected limb and transmitting the contact pressure to the main control board, and the main control board is used for controlling the bandage tightness adjusting device to correspondingly tighten and tighten the bandage according to pressure data collected by the pressure sensor. The knee joint rehabilitation device can automatically adjust the tightness of the bandage in real time, not only can stably support the knee joint and the meniscus, but also can avoid damage to blood vessels and nerves and pressure sores, ensure blood circulation and improve the rehabilitation effect, is convenient and comfortable to use, and greatly improves the user experience.

The invention belongs to the technical field of medical instruments, and discloses an intelligent artificial limb which is characterized in that a swing hydraulic cylinder is arranged at the bottom of a joint head, a shank support is connected with a rotating shaft of the swing hydraulic cylinder and can rotate around the rotating shaft, an output shaft of a motor is connected with a valve rod of a flow valve, and a valve element of the flow valve is connected with an oil way of the swing hydraulic cylinder; a rotating shaft of the angle sensor is connected with the rotating shaft; the hydraulic resistance is adjusted through a motor, and the performance of the intelligent artificial limb in the aspects of safety, flexibility and movement precision is remarkably improved through accurate sensor feedback and an intelligent control system. The invention further discloses a control method of the intelligent artificial limb, the controller calculates the dip angle value of the thigh according to the value of the angle signal and the value of the dip angle signal, and a plurality of walking modes are preset in the controller; according to the invention, the angle and inclination angle signals are collected in real time, and the hydraulic resistance of the knee joint is intelligently adjusted according to multiple preset walking modes, so that the walking experience and safety in different motion scenes are optimized.

The invention discloses a knee joint postoperative rehabilitation management system, which comprises the steps of building a hip-knee-ankle multi-joint associated diagnosis AI model, generating an evaluation result based on the hip-knee-ankle multi-joint associated diagnosis AI model, generating a staged rehabilitation scheme through reinforcement learning and a rehabilitation knowledge graph, and performing rehabilitation management on the rehabilitation scheme. Sensor data in the training process of a patient is collected through a detection suite and input into an action judgment model after being preprocessed, and the model outputs an action correctness score and an error type in combination with a shank-thigh axis consistency judgment algorithm and an action standard library; according to the action correctness score and the error type, the patient is guided to adjust the action, and rehabilitation training closed-loop management is achieved. The knee joint compensation relation can be accurately judged, the kinematic chain balance principle of knee rehabilitation training can be met, the correctness of actions during training can be accurately judged, and joint unbalance is avoided.

The invention provides a unicompartmental knee arthroplasty robot navigation and positioning system and method. The system comprises a preoperative planning module, a positioning and navigation module and a mechanical arm control module. The preoperative planning module is used for carrying out knee joint segmentation and reconstruction according to the obtained knee joint medical image, carrying out preoperative planning and determining a unicompartmental knee arthroplasty scheme; the positioning navigation module is used for registering the intraoperative solid knee joint and the preoperative knee joint three-dimensional model according to the navigator and the tracer, and tracking the poses of the osteotomy tool and the solid knee joint in real time; and the mechanical arm control module is used for planning a motion path of the mechanical arm and controlling the mechanical arm to execute the motion path. In this way, the mechanical arm can be controlled to assist in completing the osteotomy operation of unicompartmental knee arthroplasty in a preoperative planning and intraoperative optical navigation mode, and the problems that the operation level is uneven and the operation effect is not expected due to different individuals in the current manual operation are solved.

The invention relates to a hip and knee joint walking aid exoskeleton robot. The double-motor hip joint mechanism is composed of a back frame, an adjustable waist mechanism, two bilaterally-symmetrical double-motor hip joint mechanisms, two bilaterally-symmetrical thigh length adjusting mechanisms and two bilaterally-symmetrical knee joint mechanisms. The two double-motor hip joint mechanisms are connected to the two sides of the back frame and the two sides of the adjustable waist mechanism respectively, the thigh length adjusting mechanisms are connected with the double-motor hip joint mechanisms, and the knee joint mechanisms are connected with the thigh length adjusting mechanisms. When the wearer performs low-speed or low-load movement, only a second motor, close to the thigh length adjusting mechanism, of the dual-motor hip joint mechanism is activated, and when the wearer performs high-speed or high-load movement, the first motor and the second motor are activated at the same time. The hip and knee joint combined assisting mode is adopted, the walking assisting performance and the wearing comfort degree of the exoskeleton are balanced, on the premise that the wearing comfort degree is not affected, the maneuverability and the load capacity are enhanced to the maximum degree, and the fatigue degree is greatly reduced.

The invention relates to the technical field of intelligent medical treatment, and discloses an intelligent knee joint rehabilitation system based on Internet of Things, comprising: a flexible multi-parameter sensing module for collecting a multi-modal biological signal of a knee joint; the edge calculation module is used for processing and analyzing sensing data in real time; the dynamic impedance adjusting module is used for dynamically adjusting impedance parameters of rehabilitation training according to the real-time data; the cloud-side collaborative decision module is used for realizing efficient transmission and collaborative decision of data; and the self-adaptive rehabilitation strategy engine is used for optimizing rehabilitation training parameters and comprises a real-time intensity adjustment module based on an improved TD3 reinforcement learning algorithm. According to the system, the flexible strain sensor array unit, the 9-axis inertial measurement unit and the surface myoelectricity sensing unit are integrated through the flexible multi-parameter sensing module, and multi-dimensional real-time monitoring of knee joint strain distribution, three-dimensional acceleration, angular velocity, magnetic field data and myoelectricity signals is achieved.

An orthopaedic knee prosthesis includes a tibial bearing component with articular features which operate to protect adjacent soft tissues of the natural knee, promote and / or accommodate desired articulation with an abutting femoral component, and facilitate expedient and effective implantation by a surgeon.

The invention belongs to the technical field of early warning of diseases, and discloses a knee joint disease early warning system based on biomechanical analysis, which comprises a data acquisition module, a data analysis module, a main control module and an early warning module, the knee joint disease early warning system based on biomechanical analysis has the expected effects that the knee joint disease early warning system based on biomechanical analysis is provided, and a patient is helped to discover and take intervention measures in the early stage of knee joint diseases through real-time monitoring and early warning, so that the disease progress is delayed, and the life quality of the patient is improved. Meanwhile, the system provides a powerful tool for clinicians and rehabilitators and is used for formulating personalized rehabilitation treatment schemes.

The invention belongs to the technical field of intelligent diagnosis, and particularly relates to an AI combined MRI and clinical JIA diagnosis system and a storage medium. According to the system disclosed by the invention, the early auxiliary diagnosis of the juvenile idiopathic arthritis is carried out by combining artificial intelligence with multi-dimensional and multi-modal information of multi-sequence MRI images of knee joints of children and various clinical information. The main technology of the method is child knee joint tissue segmentation based on deep learning, a multi-dimensional feature extraction strategy based on a segmentation result, and disease classification based on multi-modal feature integration and deep learning. By integrating the multi-dimensional features of the multi-sequence MRI images and fusing different modal features such as image information and clinical information, an auxiliary diagnosis result with high accuracy can be provided. The technology provided by the invention is beneficial to the realization of early diagnosis and early treatment of juvenile idiopathic arthritis, and has a very good application prospect.

A knee joint rehabilitation apparatus may include a support bar fixed to a height-adjustment bar, the support bar being configured to receive a knee joint posterior; a plurality of pads configured to removably mount to the support bar to adjust an effective outer diameter of the support bar; and a lower leg support connected to the height-adjustment bar, the lower leg support being mounted to the height-adjustment bar so as to allow for changes in an angular position between said lower leg support and said height-adjustment bar.

The invention belongs to the technical field of parameterization design, and discloses an orthopedic insole parameterization design method based on biomechanical data and a rule library, which comprises the following steps: by acquiring high-precision three-dimensional scanning data of a foot below a knee joint of a child, carrying out denoising processing and three-dimensional reconstruction on a foot point cloud to obtain a three-dimensional scanning data of the foot below the knee joint of the child; geometrical characteristic parameters and mechanical distribution characteristics of the foot are identified, and regional function segmentation is carried out on the foot according to the geometrical characteristic parameters and the mechanical distribution characteristics; the foot correction demand degree is calculated by analyzing an arch flatness quantitative index and a heel posture deviation characteristic, so that a personalized design parameter range is screened out; by fusing foot geometric features, simulation analysis results and material mechanical properties, an insole design scheme is constructed and optimized, a correction effect is predicted and compared with the simulation analysis results for analysis, and a design precision evaluation result is obtained; the method is applied to a personalized insole design scheme; according to the invention, accurate identification and personalized correction of the child foot problems are realized.

The invention provides a knee joint prosthesis tibial plateau capable of enhancing fixation and a tool matched with the tibial plateau, the knee joint prosthesis tibial plateau specifically comprises a tibia support, the tibia support is of a hollow cylinder structure, and three convex bodies are fixedly arranged on the outer surface of the tibia support; a groove penetrating into the tibia support is formed in the abutment, and the abutment is fixedly arranged on the tibia support; the pushing device comprises extension rods arranged at the two ends of a worm, the worm with threads arranged on the outer surfaces of the two ends, turbines arranged on the two sides of the worm, upper supporting bodies arranged at the tops of the turbines and connected with the fixing device through first connecting bodies, and lower supporting bodies arranged at the bottoms of the turbines and connected with the fixing device. The fixing device is a hollow cone, a first spring is arranged in the fixing device, one end of the first spring is connected with the first connector, and the other end of the first spring is connected with a fixing block. According to the technical scheme, the technical problem that after the knee joint prosthesis is implanted into the tibia, the tibial plateau is unstable, the prosthesis is loosened and disengaged, and then bone fusion is affected is effectively solved.

The invention relates to the technical field of knee joint rehabilitation evaluation, in particular to a knee joint rehabilitation evaluation method based on a human skeleton by using a space-time diagram convolutional network, and the method comprises the following steps: obtaining a rehabilitation evaluation gait video set; extracting human body key point skeleton data, and slicing the human body key point skeleton data into gait samples according to the number of time frames; preprocessing the gait sample, and extracting joint, skeleton and joint angle features; a gait-link method is adopted to divide a space gait skeleton diagram, a space-time attention mechanism is added, and an improved CTR-GCN network model is constructed; training the improved CTR-GCN network model by using the gait sample to obtain a gait evaluation model; and processing a gait video to be evaluated, and inputting the processed gait video into the gait evaluation model to obtain a rehabilitation evaluation result of the patient. According to the method, the human body key point skeleton in the walking video of the patient is extracted and input into the space-time diagram convolutional network for training, the rehabilitation evaluation model is obtained, the rehabilitation condition of the patient is evaluated by using the model, and the requirement of rehabilitation evaluation is met.

The invention relates to the technical field of robots, and discloses an electro-hydraulic hybrid driving and driven humanoid robot lower limb and waist assembly which serves as a connection foundation of lower limbs and a robot trunk. The near ends of the thigh assemblies are connected with the waist assembly through hip joints; the near end of the shank assembly is connected with the far end of the thigh assembly through a knee joint; the foot component is connected with the far end of the shank component through an ankle joint; the hip joint is provided with three rotational degrees of freedom, the knee joint is provided with one rotational degree of freedom, and the ankle joint is provided with two rotational degrees of freedom; the rotational degree of freedom of each joint in a sagittal plane is driven by an active hydraulic actuator and a passive hydraulic actuator; the rotational degree of freedom of each joint in a horizontal plane and a coronal plane is driven by a motor joint module; the advantages of electric drive and hydraulic drive are brought into full play, and the problems of high power consumption in the negative work stage, complex traditional hydraulic drive pipelines and the like are solved by adopting an active and passive combined distributed hydraulic drive technology.

The invention discloses a knee bone joint state recognition method and system based on artificial intelligence, and relates to the technical field of image analysis, and the method comprises the steps: obtaining multi-source medical image data of a knee joint region of a patient, carrying out the spatial registration and standardization preprocessing, and constructing a three-dimensional structure model of a knee joint after unifying a coordinate system; establishing a mapping relation between joint movement and an anatomical structure by combining knee vibration and behavior characteristic data collected by a patient in a specific movement state, extracting joint key geometric and mechanical parameters from the three-dimensional structure model, and fusing the joint key geometric and mechanical parameters with synchronously collected vibration behavior characteristics; and performing state recognition on the fused multi-source features based on an intelligent recognition model, and outputting a health state label of the knee joint. According to the invention, more accurate and more comprehensive knee joint health state identification can be realized, the accuracy and reliability of an identification result are effectively improved, and the timeliness of disease discovery and the scientificity of intervention are enhanced.

The invention relates to the technical field of humanoid robots, in particular to a humanoid robot humanoid sole and shank assembly which comprises a sole assembly, a shank assembly and a thigh assembly. The sole assembly comprises a sole, an inertial measurement unit mounted on the sole, a force sensor mounted above an arch of the sole and an adapter plate mounted on the force sensor; the shank assembly comprises a shank, a cross-shaped bearing, an ankle joint support and an ankle joint driving module, the ankle joint support is movably connected to the bottom of the shank through the cross-shaped bearing, the ankle joint support is fixedly installed on the top of the sole assembly, and the ankle joint driving module is installed on the shank and used for driving the ankle joint support to swing along double shafts of the cross-shaped bearing; the thigh assembly comprises a thigh and a knee joint driving module, and the thigh is rotationally connected to the top of the shank through the knee joint driving module. The performance of the humanoid robot in the aspects of movement flexibility, stability, load bearing capacity and complex ground adaptability is remarkably improved.

The invention discloses a double-clutch variable-stiffness knee joint exoskeleton, and relates to the technical field of wearable lower limb exoskeletons.The double-clutch variable-stiffness knee joint exoskeleton comprises a gait sensing module arranged outside and a limb connecting arm module used for being connected with a human body, and an energy storage module is installed on one side of the limb connecting arm module; a sensor module is mounted on the other side of the limb connecting arm module; the limb connecting arm module comprises a limb connecting arm assembly I used for being connected with the thigh of the human body and a limb connecting arm assembly II used for being connected with the shank of the human body, the limb connecting arm assembly I and the limb connecting arm assembly II are each provided with a clutch unit, and the core speed increaser is installed between the limb connecting arm assembly I and the limb connecting arm assembly II. The energy storage module and the sensor module are arranged on the two sides of the core speed increaser, and the core speed increaser is connected with the energy storage module. The device has the advantages of compact structure, variable rigidity bandwidth and good motion adaptability, can realize high energy recovery efficiency in a multi-gait mode, and reduces the metabolic consumption of a human body.

The invention discloses a joint dilator of an orthopedic knee arthroscope and a control method thereof, and relates to the technical field of medical instruments, the method comprises the following steps: acquiring a geometric center of a preset distraction range and a rotating fulcrum of the dilator, and constructing a preset Y axis according to the geometric center and the rotating fulcrum; when the spreader performs initial rotation by taking a preset Y axis as a rotation axis, the graph acquisition piece acquires an actual image contour in real time; comparing the actual image contour with the target image contour in real time; when the coincidence degree between the actual image contour and the target image contour is a second coincidence degree, the position of the preset Y axis is confirmed again according to the coincident contour between the actual image contour and the target image contour in the first coincidence degree, and an actual Y axis is set; the angle control device is combined with the actual Y axis to control the dilator, through the arrangement, it can be ensured that the dilated range of the dilator coincides with the range corresponding to the actual injury characteristic, and then the wound area of a patient is reduced.

The present invention is directed to a reusable residual limb protector that can be used with a knee immobilizer to protect a recent amputee patient from further injury and infection of the amputation site while preventing knee flexion contractures. In alternative embodiments, the residual limb protector is configured for use with one patient. A method of use of the residual limb protector is also disclosed herein.

The invention provides a sports action correcting and monitoring system based on image recognition and big data, relates to the technical field of artificial intelligence, and integrates multi-source data, eliminates space-time differences and improves the accuracy and reliability of an analysis result through a data synchronization and fusion module by using a big data processing technology; the biomechanical solving module calculates a lower limb joint torque vector in real time based on a Lagrange equation, and real-time monitoring of the joint torque is achieved; the load optimization module adopts an Adam optimization algorithm, optimizes the stride width and the knee joint buckling angle through a gradient descent method, minimizes the maximum value of the joint torque, reduces the joint load of an athlete, and prevents potential injury; the feedback display module transmits the optimized action parameters to the wearable device in real time, the athlete is guided to adjust the action in real time, and the high efficiency and safety of training are ensured.

A knee protection system has a lower guard that is strapped to the lower leg below the knee joint. An upper guard is attached to the lower guard by hinges so that when the knee bends the lower guard goes with it and the upper guard pivots to remain over the kneecap or thereabout.

The invention belongs to the technical field of biological medicines, and discloses a DSH loaded medicine as well as a preparation method and application thereof. The DSH loading type medicine is DNA (Deoxyribonucleic Acid) supramolecular hydrogel loaded with 2, 2, 6, 6-tetramethylpiperidine-1-oxide, and the DSH loading type medicine is a DNA supramolecular hydrogel loaded with the 2, 2, 6, 6- Wherein the DNA supramolecular hydrogel is formed by assembling a Y type DNA monomer and an L type DNA monomer. The DSH loaded medicine has good anti-inflammatory and peroxy free radical removing effects, and can achieve the purpose of treating knee osteoarthritis. In addition, the DSH loaded medicine can be used for reflecting the content of peroxy free radicals in knee joints by detecting the contrast ratio of knee joint images through magnetic resonance, and early diagnosis of knee osteoarthritis is achieved.