3531 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.

An orthopaedic implant includes a tibial component having a metal base with a polymer bearing molded thereto. A method for making a tibial component is also disclosed.

The invention discloses a compact humanoid robot leg structure and a robot, and belongs to the technical field of humanoid robots. In order to solve the problems that an existing humanoid robot leg is complex and redundant in structure, low in structure and form bionic degree and the like, the humanoid robot leg which is small in size, modularized, simple and compact in structure and high in structure bionic degree is provided, and the manufacturing difficulty, cost, size and total structure weight of the robot leg are reduced. The leg structure comprises a hip joint module, a thigh module, a knee joint module, a shank module and an ankle-sole module which are sequentially connected, and three-degree-of-freedom movement of a bionic hip joint, three-degree-of-freedom movement of a knee joint and two-degree-of-freedom movement of an ankle joint can be achieved. The method can be used for humanoid robots and biped robots.

The invention discloses a lower limb exoskeleton rehabilitation robot joint torque prediction method and device based on an electromyographic signal, and the method comprises the steps: firstly collecting the electromyographic, joint angle, angular velocity and joint torque data of a user, and carrying out the modeling of four muscles related to a knee joint through a neuromusculoskeletal model; and identifying physiological parameters used in the model by using a sparrow optimization algorithm, and outputting an optimal solution to obtain an estimated torque. Then, the real torque and the estimated torque are endowed with the weights of # imgabs0 # respectively, and a fusion torque is obtained; and training a neural network model by using the collected data and the fusion moment, and meanwhile, enabling the neuromusculoskeletal model to participate in the training process of the neural network model by adopting a method of bringing the neuromusculoskeletal model into a loss function, so that the constraint of the model is increased. And finally, storing the trained model for subsequent calling. The method has the advantages of high precision and strong generalization, and model training can converge more quickly under the condition of less data volume.

The walking-assisting knee joint exoskeleton structure comprises an exoskeleton, the exoskeleton comprises an assisting assembly, a thigh supporting assembly, a shank supporting assembly and a crossed four-bar linkage assembly, the assisting assembly comprises a waistband and a driving mechanism arranged on the waistband, the thigh supporting assembly comprises a thigh binding mechanism and a thigh support, and the shank supporting assembly comprises a shank binding mechanism and a shank support. The shank supporting assembly comprises a shank binding mechanism and a shank support, and the thigh support is in power connection with the shank support through a crossed four-connecting-rod assembly. The power assisting assembly further comprises a motor assembly, a first brake cable and a second brake cable, and the first brake cable and the second brake cable are connected with the front end and the rear end of the shank binding mechanism respectively. The motor assembly is moved upwards to the waist, the load of the knee joint area is reduced, joint abrasion and muscle fatigue can be reduced, the wearing comfort and the feasibility of long-time walking are improved, the trousers bear part of the weight of the exoskeleton, the load of the legs is reduced, and the overall attractiveness is further improved.

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 present disclosure includes examples of an implant system configured for targeted joint resurfacing in which only an area including the osteochondral defect is resected, wherein the area resected occupies an area smaller than an entire joint surface. The implant system can include a monolithic first implant with 3D printed metal and a second implant including a plastic portion overmolded onto a metal portion. The metal portion of the second implant also includes 3D printed metal. The first and / or second implants include solid metal portion(s) and porous metal portion(s). In an example, the first implant can be a femoral implant and the second implant can be a tibial implant. The first and second implants can be used on their own or in tandem.

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 humanoid robot comprises a trunk assembly, a thigh assembly, a shank assembly and a foot assembly, the trunk assembly and the thigh assembly are rotatably connected through a hip joint assembly, and the thigh assembly and the shank assembly are rotatably connected through a knee joint assembly. The shank assembly is rotatably connected with the foot assembly through the ankle joint assembly, the thigh assembly and the shank assembly respectively comprise a thigh skeleton and a shank skeleton, and when the thigh skeleton and the shank skeleton are straightened, the pitching rotation axis of the hip joint assembly and the pitching rotation axis of the knee joint assembly are not on the same vertical plane; the pitching rotation axis of the knee joint assembly and the pitching rotation axis of the ankle joint assembly are located on the same vertical plane, it is guaranteed that the transmission angle between the thigh assembly and the shank assembly of the robot is not 0 degree, the degree of freedom in the vertical direction cannot be lost, straight-leg standing and straight-leg starting of the robot are achieved, and the robot is closer to a real person in shape.

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.

Systems and methods related to an orthopedic tensor for a knee joint. The tensor is motorized and operates in a force control mode and a displacement control mode. A control system controls the tensor in the force control mode to apply forces to the knee joint until a predetermined force is reached. The control system captures a plurality of force-displacement data pairs from the tensor as a result of the forces applied by the tensor in the force control mode. Control of the tensor is switched from the force control mode to the displacement control mode to perform an extension test whereby a displacement of the tensor is progressively decreased according to displacements from the plurality of force-displacement data pairs until the knee joint can reach an acceptable full extension pose during, or after completion of, the extension test.

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 wearable knee joint exoskeleton comprises a thigh supporting part, a knee joint rotation limiting device and a shank supporting part, the knee joint rotation limiting device is used for limiting the angle range of human knee movement, and the knee joint rotation limiting device is arranged between the thigh supporting part and the shank supporting part; the leg support part is fixedly connected with the thigh support part and the shank support part; the knee joint rotation limiting device is provided with a variable rotation center and supports motion angle limiting of the knee joint in a large range, the knee joint rotation limiting device comprises a continuum rotation mechanism located on the side face of the knee joint of the human body, the continuum rotation mechanism comprises a plurality of continuum rotation modules, and a rotation freedom degree exists between every two adjacent continuum rotation modules. The size of the front-back rotation angle of each rotation freedom degree is related to the shape of the continuum rotation module. The exoskeleton has a variable rotation center, can adapt to natural movement of the knee joint of the human body, and is high in safety, good in stability and easy to wear.

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.

An orthopaedic tibial prosthesis includes a tibial baseplate with an asymmetric periphery which promotes proper positioning and orientation on a resected tibia, while also facilitating enhanced kinematics, soft-tissue interaction, and long-term fixation of the complete knee prosthesis. The asymmetric baseplate periphery is sized and shaped to substantially match portions of the periphery of a typical resected proximal tibial surface, such that proper location and orientation is evident by resting the baseplate on the tibia. The baseplate periphery provides strategically positioned relief and / or clearance between the baseplate periphery and bone periphery, such as in the posterior-medial portion to prevent deep-flexion component impingement, and in the anterior-lateral portion to avoid undue interaction between the anatomic iliotibial band and prosthesis components.

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.

The present disclosure is a femoral preparation guide and a kit of surgical components related to the femoral preparation guide. The femoral preparation guide is for use on a condyle of a femur during a surgical procedure in which the condyle receives a femoral condylar implant. The femoral preparation guide includes a posterior portion for fitting over a posterior region of the condyle and a distal portion for fitting over a distal region of the condyle. The distal portion is at an angle relative to the posterior portion. The distal portion includes first and second resections slots for receiving cutting tools that provide two resections of the condyle. The first and second resections slots being at angles relative to each other.

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.

The invention relates to the technical field of robots, and discloses a humanoid robot lower limb system, comprising: a crotch portion comprising a rope-driven motor; the thighs are installed at the two ends of the crotch respectively and can rotate along a pitch axis and a roll axis; the shanks are installed at the lower ends of the two thighs respectively, a knee joint motor is installed on the upper portion of each thigh, and the shanks are driven to rotate relative to the thighs through the knee joint motors and the synchronous belts; the ankles are mounted at the lower ends of the two shanks respectively; the rope drive motor drives the shank opposite to the ankle to rotate through the steel wire rope. The synchronous belt has the characteristics of high transmission precision and strong anti-interference capability in a non-severe environment, the rope drive has the characteristic of high sensitivity, and all motors are intensively arranged at the uppermost end of the leg structure, so that the center of gravity is concentrated on the upper part, the inertia of leg movement is reduced, and the movement control is facilitated. Meanwhile, the principle that the left leg and the right leg are designed into blocks is adopted, so that the left leg and the right leg can rotate independently, and walking in multiple terrains is facilitated.

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 light-weight lower limb exoskeleton control system comprises a backrest assembly, leg assemblies are arranged on the two sides of the backrest assembly, and each leg assembly comprises a hip joint movement mechanism, a thigh exoskeleton mechanism, a shank exoskeleton mechanism and a foot mechanism which are sequentially arranged from top to bottom; a knee joint energy storage mechanism is connected between the thigh exoskeleton mechanism and the shank exoskeleton mechanism; the knee joint energy storage mechanism comprises an upper mounting seat, a lower mounting seat, a telescopic sleeve and an energy storage spring sleeving the telescopic sleeve; the upper mounting seat is fixedly connected with the thigh exoskeleton mechanism and is connected with the upper end of the telescopic sleeve through a rotating pair; the lower mounting seat is fixedly connected with the shank exoskeleton mechanism and is connected with the lower end of the telescopic sleeve; a plurality of mounting holes are formed in the upper mounting seat, and the elastic strength of the knee joint energy storage mechanism is changed according to the elongation of the energy storage spring when the telescopic sleeve is mounted at different positions. Compared with the prior art, the method has the requirements of light weight and low control complexity.