39 results about "Functional recovery" patented technology

The invention relates to the technical field of medical data analysis. By providing the multi-modal fusion ACLR post-rehabilitation intelligent evaluation method and system, the method comprises the steps that peripheral modal data, central modal data and rehabilitation intervention data of an ACLR patient are synchronously collected and processed, and a multi-source heterogeneous data set is obtained; performing space-time alignment processing on the multi-source heterogeneous data set through a preset unified timestamp to generate a time-synchronized cross-modal data set; the cross-modal data set is processed through the trained brain-muscle-bone multi-modal fusion model, and three-dimensional comprehensive evaluation indexes including the structure safety degree, the function recovery degree and the nerve recombination degree are generated; and performing rehabilitation parameter dynamic optimization processing according to the three-dimensional comprehensive evaluation index, and generating a personalized blood flow limitation training pressure value and proprioceptive training intensity, so as to achieve the technical effects of multi-dimensional quantification of a rehabilitation state, dynamic adaptation of training parameters, nerve-muscle-bone collaborative intervention, improvement of a rehabilitation curative effect and reduction of a re-injury risk.

The invention discloses a lumbar postoperative functional recovery evaluation method based on gait analysis, and the method comprises the steps: collecting a multi-modal gait multi-source signal, and building high-quality space-time synchronous multi-modal gait data through standardization processing and abnormity elimination; further extracting multi-point features such as an action sequence, pressure and myoelectricity, and realizing deep association between gait features and clinical evaluation indexes by adopting graph structure fusion and knowledge graph mapping; a graph neural network and an attention mechanism are introduced, the causal relationship between gaits and lumbar function recovery is reasoned, self-supervised dynamic optimization is performed according to individual differences, the objectivity, interpretability and adaptive ability of rehabilitation evaluation can be improved, and the rehabilitation accuracy is improved. And reliable data basis and causal traceability are provided for medical decision and personalized rehabilitation.

The invention relates to the technical field of rehabilitation training, in particular to a rehabilitation training method and system integrating a rehabilitation robot and a cloud platform. Comprising the following steps: constructing a standardized motion track data set; joint time sequence features are extracted, coordination deviation in the multi-joint coordination process is analyzed, time sequence coordination deviation distribution is determined, and when deviation exceeds a preset range, an abnormal deviation track and a compensation behavior mode are recognized; generating a personalized training protocol scheme in combination with the compensatory behavior pattern and patient personalized data, and obtaining an optimized motion guidance path through multi-joint collaborative path simulation and parameter correction; training feedback indexes are extracted based on the motion guidance path, the training effect is judged, rehabilitation robot control parameters are dynamically updated, and a continuously optimized function recovery path is formed. The problems that in existing rehabilitation training, multi-joint collaborative evaluation is insufficient, and a training scheme is difficult to dynamically adapt are solved, and intelligentization, individualization and continuous optimization of the rehabilitation training process are achieved.

The invention belongs to the technical field of medical rehabilitation, and discloses a rehabilitation treatment monitoring system based on multi-modal sensing and AI evaluation. A multi-dimensional skeleton key point confidence evaluation mechanism is established by integrating three types of sensing data of visual skeleton tracking, an inertial measurement unit and pressure distribution, and potential tracking interruption risk frames and error recognition candidate frames are recognized in real time. And a multi-modal fusion correction model is adopted to carry out accurate compensation on error recognition, missing data are reconstructed in combination with a skeleton motion mode memory bank and a bidirectional time sequence prediction algorithm, and a continuous and complete all-day skeleton motion sequence is generated. On the basis of the calculation, the time-phased activity level index and the rehabilitation action completion degree score of the patient are calculated, and an objective and quantitative rehabilitation evaluation basis is provided. According to the invention, the stability and continuity of skeleton tracking in a complex rehabilitation environment are improved, so that a medical team can obtain a real and complete all-day activity portrait of a patient, accurately position a rehabilitation bottleneck, formulate a personalized treatment scheme and promote functional recovery of the patient.

The invention provides a virtual reality body rehabilitation system. The virtual reality body rehabilitation system comprises a virtual domain system, a body feeling stimulation system, a body feeling evaluation system, an equipment domain system and a central control module. The virtual domain system specifically induces the sense of ownership, the sense of autonomy and the sense of position by creating a virtual environment of a virtual avatar, real-time action mapping and adaptation rehabilitation tasks; the body feeling stimulation system takes visual stimulation as a core and is matched with linkage of various kinds of sensory stimulation, so that the authenticity of body experience is enhanced; the body feeling evaluation system evaluates real-time body feeling and provides reliable data support for regulation and control. On the basis of the physical cognition theory, the virtual reality technology, the multi-mode sensing technology, the neuroscience and the rehabilitation medicine principle are fused, multi-channel feeling collaborative stimulation such as vision, body feeling and touch feeling is achieved by constructing the immersive virtual environment, a patient is induced to generate physical experience, abnormal body representation is remodeled, nerve plasticity and function recovery are promoted, and the rehabilitation effect of the patient is improved. The patient is helped to return to normal life and society.

The invention relates to joint non-surgical treatment, in particular to the technical field of medical apparatuses and instruments, and discloses a leg rehabilitation nursing device which comprises an electric push rod, a massage part is arranged on the electric push rod, an adaptive part is arranged on the massage part, monitoring parts are arranged on the massage part and the adaptive part, a supporting part is mounted on the electric push rod, and the supporting part is connected with the electric push rod. A binding part is installed on the supporting part, the massage part comprises a first connecting arm, the first connecting arm is fixedly arranged on an outer rod of an electric push rod in a sleeving mode, and a frame is fixedly connected to the first connecting arm. The functions of leg stretching or bending training, synchronous kneading massage and targeted blood circulation activating are integrated, equipment does not need to be replaced, operation is simplified, and space is saved; the rehabilitation continuity is improved, training, massaging and blood activating are synchronously carried out, muscle tension is relieved in a targeted mode, blood circulation is promoted, the rehabilitation scheme is optimized in cooperation with electromyographic signal monitoring, function recovery and function integration is accelerated, and the problem of traditional instrument splitting is solved.

The invention relates to the technical field of medical rehabilitation equipment control, in particular to a leg fracture bedridden complete-cycle rehabilitation system based on hybrid real force touch interaction and a control method, by adopting the method provided by the invention, a multi-mode rehabilitation state feature set is constructed, a coupled feature set is formed through feature coupling, and the rehabilitation effect of a patient is improved. The method comprises the following steps: firstly, dynamically updating a local dynamic transition threshold value and a global dynamic transition threshold value, setting a trigger condition, judging whether to transition from a current rehabilitation stage to a next stage or not according to the trigger condition, and dynamically updating the local dynamic transition threshold value and a global accumulation threshold value; and a control signal for virtual display is sent to the MR interaction unit according to the current rehabilitation stage and a preset condition, so that real-time adaptive switching of multi-stage rehabilitation training is realized, a mixed reality function is realized in combination with the MR interaction unit, lightweight, immersive and personalized rehabilitation experience is provided for a patient, leg function recovery is accelerated, and the rehabilitation effect of the patient is improved. The rehabilitation efficiency and quality are improved.

The invention discloses a motion function rehabilitation training system for a forearm limb disabled patient based on visual and vibratory tactile collaborative feedback. The system comprises a hardware layer, a data processing layer, an application layer and a user interface layer. The training process is guided through visual feedback, the task completion condition and the gripping strength are reflected through vibration stimulation, the forearm amputation patient is helped to achieve integration of visual information and tactile information, and the accuracy of exercise decision making and the training effect are remarkably improved. Besides, on the basis of the electromyographic signal level of the patient, a personalized rehabilitation training scheme is adopted, and the pertinence and the individual adaptability of rehabilitation training are effectively enhanced by evaluating the muscle activity intensity level and the antagonism coefficient of the patient with the forearm limb disability and customizing the difficulty level of a digital large-synthesis electromyographic game and the training types of life scenes and tasks; functional recovery of the patient is promoted.

The invention discloses a bilateral difference cooperation-based hemiplegic upper limb mirror image induction rehabilitation method and system, and relates to the technical field of medical rehabilitation, and the method comprises the steps: collecting signals through basic actions before training, and generating an individual ability baseline containing bilateral function asymmetric types and virtual coupling model initial parameters; during training, healthy and affected side movement and electromyographic signals are collected, a virtual task object state jointly determined by two sides is generated through a virtual coupling model, a first real-time performance deviation is calculated to recognize a healthy side dominant / affected side inertia mode, and healthy side dimensionality reduction or affected side excitation interference is applied in a targeted mode; and task parameters are iteratively updated based on the dynamic performance indexes, and the cooperative capability is converted into an affected side independent function through coupling-decoupling circulation. A traditional one-way simulation mode is subverted, unhealthy side compensation is restrained, activeness waste is broken through, personalized precise rehabilitation is achieved, and rehabilitation efficiency and function recovery quality are improved.

The invention relates to the technical field of medical management, and discloses a medical management system and method based on artificial intelligence. By collecting health archives, postoperative evaluation and sensor data of patients, a rehabilitation plan is customized for each patient, and the problem of one-time operation is avoided. The system sets multi-dimensional rehabilitation targets, such as functional recovery, muscle recovery, pain management and mental health, according to patient information and evaluation data, and dynamically adjusts the priority through a weighted target function to ensure the balance of the rehabilitation process. A sensor is worn to monitor data such as joints and gaits in real time, the scheme is dynamically adjusted, and comfort and the effect are ensured. Meanwhile, interdisciplinary integrated support is achieved, body recovery and mental health are concerned, anxiety is relieved, and confidence is improved. Group members and task optimization interaction and cooperation are dynamically adjusted, the collective rehabilitation effect is enhanced, and the participation degree is improved.

The invention relates to the technical field of rehabilitation decision making, in particular to a multi-modal regulation and control system of an intelligent joint rehabilitation monitoring protector, which comprises a cloud database, an information acquisition port, an information analysis port and an information feedback port, the data storage module is used for storing joint function evaluation data, injury indexes, rehabilitation compliance scores, treatment records and rehabilitation stage information of a patient; the information acquisition port is used for acquiring static attribute data and dynamic rehabilitation monitoring data of a patient; the information analysis port is used for calculating a joint rehabilitation risk score and a function recovery change index; the information feedback port is used for sending regulation and control instructions or personalized rehabilitation suggestions to medical staff or patients.

The invention discloses a tendon rupture auxiliary fixing device, and relates to the technical field of tendon repair, the tendon rupture auxiliary fixing device comprises a fixing nail and two fixing assemblies, each fixing assembly comprises a braided wire belt and two fixing parts, and the two fixing parts are connected through the braided wire belt; the fixing parts in one fixing assembly and the fixing parts in the other fixing assembly are arranged in a one-to-one correspondence mode, and the corresponding fixing parts are connected through the fixing nails; the two fixing assemblies are used for being arranged on the two sides of the tendon fracture position respectively, the fixing nails are used for penetrating through the tendon, the two ends of each fixing nail are connected with the two corresponding fixing parts respectively, and the braided wire belts are used for corresponding to the tendon fracture position. The auxiliary fixing device can perform auxiliary fixing on a fracture part after tendon suture, effectively prevents secondary fracture, and promotes functional recovery of a patient.

The application provides an athlete muscle strength training and rehabilitation system based on electric stimulation, and relates to the technical field of medical rehabilitation.The application synchronously collects electromyography and kinematic signals, extracts muscle coordination index and joint net output torque double-dimension features in real time, identifies three movement performance states of coordination dominant type, strength dominant type and mixed type, and dynamically generates differentiated electric stimulation parameter sets according to the three movement performance states, so that the precise typing and targeted intervention of the fatigue state of athletes are realized, the muscle coordination efficiency and strength output are synchronously optimized in training, compensatory injury is effectively prevented and functional recovery is accelerated in rehabilitation, and the individualization, safety and overall efficiency of training and rehabilitation are improved.

The application provides a virtual reality embodiment rehabilitation system, comprising a virtual domain system, an embodiment sense stimulating system, an embodiment sense evaluating system, a device domain system and a central control module. The virtual domain system induces the sense of possession, the sense of autonomy and the sense of location by creating a virtual avatar, a real-time action mapping and a virtual environment suitable for rehabilitation tasks; the embodiment sense stimulating system takes visual stimulation as the core and matches multiple types of sensory stimulation linkage to strengthen the reality of embodiment experience; the embodiment sense evaluating system evaluates real-time embodiment sense to provide reliable data support for regulation and control. The application is based on embodiment cognition theory, combines virtual reality technology, multi-modal sensing technology, neuroscience and rehabilitation medicine principles, builds an immersive virtual environment, realizes multi-channel sensory coordinated stimulation such as vision, proprioception and touch, induces patients to produce embodiment experience, reshapes abnormal body representation, promotes neural plasticity and functional recovery, and helps patients return to normal life and society.

The invention discloses a lower limb physical fitness recovery cabin, and relates to the technical field of medical instruments, the lower limb physical fitness recovery cabin comprises a cabin body, the inner wall of the cabin body is fixedly provided with a fixing plate, the upper surface of the fixing plate is provided with a sliding groove, the inner wall of the sliding groove is rotatably provided with a first lead screw, and the outer surface of the first lead screw is sleeved with a bed body corresponding to the sliding groove; a conveying groove is formed below the sliding groove, a water inlet pipe communicating with the conveying groove is fixedly installed on the side face of the cabin body, placing grooves are formed in the left side and the right side of the fixing plate corresponding to the conveying groove, the one-way assembly needs to be unlocked through the heating assembly, and meanwhile the sleeve and the fixing pipe are in interference fit. The one-way assembly and the heating assembly are fixed through interference fit, when the heating assembly is maintained, only the heating assembly needs to be replaced, and the steps needed by replacement are greatly reduced, so that the maintenance efficiency of equipment is improved, and the waiting time of a user is greatly shortened.

The mirabilite ice compress bag comprises an inner cold compress bag and an outer cold compress bag, and the inner cold compress bag and the outer cold compress bag are detachably connected to the inner face and the outer face of an assembly bag respectively. An ice compress material in the inner cold compress bag is mirabilite, and the inner cold compress bag is divided into a plurality of rhombic grids; the mirabilite is uniformly distributed in the plurality of diamond grids; the ice compress material in the outer cold compress bag is gel; the assembly bag is slightly larger than the inner cold compress bag and the outer cold compress bag; a wire mesh is embedded in the body; and when the metal wire mesh deforms, the assembly bag is driven to deform. The ice compress bag and the mirabilite are combined for use, so that clinical symptoms of a patient can be improved, functional recovery can be promoted, the hospitalization period can be shortened, the medical cost can be reduced, and the satisfaction degree of the patient can be improved.

This invention discloses a method, system, terminal, and storage medium for collaborative rehabilitation of the healthy and affected sides based on task-driven upper limb exoskeleton. The method includes: having the target patient wear an exoskeleton and a surface-mounted electromyography (EMG) sensor; using the movement characteristics of the healthy arm, providing different task scenarios, and learning the movement trajectory of the affected side with the goal of completing the task; simultaneously performing rehabilitation rating based on the EMG signals; assigning impedance parameters for the interaction between the exoskeleton and the arm based on the rating; and also estimating the movement intention through a muscle model and compensating and correcting the imitated movement trajectory in real time. This allows the patient to achieve collaboration between the healthy and affected sides during task completion, promoting functional recovery of the damaged limb. Through repeated practice of asymmetrical movements, the patient's motor control ability and bilateral limb coordination ability are enhanced during later rehabilitation, restoring basic motor function of the damaged limb, making the rehabilitation training process more consistent with the patient's rehabilitation process, and improving rehabilitation effectiveness.

An artificial jawbone, comprising fixing mounts (1), connecting members (2) and mandible supports (3), wherein the connecting members (2) are arranged on the fixing mounts (1); the upper end of each mandible support (3) is connected to a fixing mount (1) by means of a connecting member (2); each mandible support (3) comprises a mandibular ramus (31) and a mandibular body (32); each connecting member (2) is provided with an elongated hole (20) extending in a front-rear direction; a connecting column (311) is provided at the upper end of each mandibular ramus (31), and runs through an elongated hole (20); the upper end of each mandibular ramus (31) can rotate around a connecting column (311), and the connecting column (311) can slide in an elongated hole (20) in the lengthwise direction of the elongated hole (20), and can also slide in the elongated hole (20) in the axial direction of the connecting column (311); and each connecting column (311) is connected to the upper end of a mandibular ramus (31) at a proximal end, and has a limiting block (312) provided at a distal end thereof. The artificial jawbone can simulate and restore the elevation, depression, protraction, retraction and lateral movements of the mandible, and features a good functional recovery effect, stable connection, and resistance to dislocation.

The joint replacement surgery processing method and device fusing precise perception of soft tissue can realize real-time quantitative perception of soft tissue tension, and display the soft tissue tension in real time through augmented reality. According to the current soft tissue distribution state, different surgical scheme effects are provided to the doctor, the soft tissue adjustment precision is improved, the postoperative functional recovery effect of the patient is improved, the operation time is reduced, the operation execution efficiency of the doctor is improved, the operation pressure of the doctor is reduced, and the pain of the patient is reduced. It comprises: (1) dynamic visualization model construction; (2) tension dynamic distribution visualization enhancement; (3) intraoperative soft tissue release precise guidance.

The invention relates to the field of medical treatment, and discloses an intelligent rehabilitation device for postoperative functional recovery of lower limb joints, the intelligent rehabilitation device comprises a bottom plate, the upper surface of the bottom plate is fixedly connected with a seat, the upper surface of the bottom plate is fixedly connected with a supporting block, and the upper surface of the bottom plate is slidably connected with a moving frame; a first supporting plate is fixedly connected to the upper surface of the movable frame, a pedal is fixedly connected to the upper surface of the first supporting plate, a strap is fixedly connected to the upper surface of the pedal, a first rack is fixedly connected to the inner top wall of the movable frame, and a first gear is fixedly connected to the inner bottom wall of the movable frame. When a user trains the lower limbs, the upper limbs of the user are also promoted to be synchronously matched for training, the synchronous training of the upper limbs and the lower limbs requires mutual matching and coordinated movement of all parts of the body, the balance ability and coordination of the body can be improved, the patient can be helped to more quickly adapt to various action requirements in daily activities, and the training efficiency is improved. And the risk of accidents such as falling is reduced.

The utility model discloses a kind of hip joint prostheses for retaining femoral greater trochanter, including femoral proximal end prosthesis, bone healing structure, connecting rod and femoral stem. Femoral proximal end prosthesis includes femoral neck prosthesis and greater trochanter connecting part, preset included angle is formed between the two, greater trochanter connecting part is used for resetting retained femoral greater trochanter;Bone healing structure is arranged at the outside of preset included angle, and is connected with retained femoral greater trochanter by bone growth mechanism;Connecting rod is connected with the bottom end of femoral proximal end prosthesis;Femoral stem is connected with the bottom end of connecting rod, for inserting into femoral medullary cavity.In installation process, perfect femoral greater trochanter does not need to be removed, femoral greater trochanter is successfully retained, so that patient's gluteus medius and vastus lateralis muscle can be retained, the destruction to the stop of gluteus medius and vastus lateralis muscle is avoided, so as to improve the functional recovery effect after operation. The connection of hip joint prosthesis and retained femoral greater trochanter is realized by bone healing structure, and the stability and durability of connection are improved.

The invention discloses a spinal operation comprehensive quantitative evaluation method and device based on multi-modal ultrasonic parameters, and relates to the technical field of medical ultrasonic imaging. Aiming at the problems that the existing operation decompression assessment depends on subjective experience and has an optical blind area, the method comprises the following steps: acquiring ultrasonic data such as B ultrasonic, shear wave elasticity and ultra-micro blood flow of nerve roots before and after decompression in a liquid coupling medium, and respectively calculating change characteristic quantities of morphological, histomechanical and hemodynamic dimensions; and after normalization, substituting into a weighting model constructed by an entropy weight method, and generating a comprehensive decompression score representing physical state improvement. According to the method, subjective qualitative judgment is converted into objective quantitative evaluation, anatomical reduction and deep functional recovery are cooperatively verified, blind area hidden pressed object exploration is assisted, and the objectivity and accuracy of operation end point judgment are improved.

The invention provides an orthopedic rehabilitation training system and method. The method comprises the following steps: acquiring original electromyographic signals and three-dimensional motion data of limbs when a target patient executes orthopedic standard rehabilitation actions; determining an activation time sequence mode of neuromuscles according to the original electromyographic signals, and determining multi-modal motion features based on the activation time sequence mode and the three-dimensional kinematics data; determining a motion function index of the skeletal muscle system in the current rehabilitation period based on the multi-modal motion characteristics, and determining a function recovery track of the skeletal muscle system of the target patient in different training load scenes in the next rehabilitation period; and generating a personalized rehabilitation instruction set according to the motion function index and all the function recovery tracks, and adjusting auxiliary torque output of the rehabilitation training equipment based on the personalized rehabilitation instruction set. By adopting the scheme of the invention, the recovery tracks under different training loads can be predicted through the multi-modal motion characteristics of the patient so as to dynamically generate the personalized instruction set to assist the patient in rehabilitation training.

The invention discloses a nursing aid decision-making method applied to medical clinic, and belongs to the technical field of nursing aid decision-making, and the method specifically comprises the steps: obtaining health data, work and rest motion data, real-time physiological monitoring data and wound evaluation data of a patient; generating individualized rehabilitation tolerance characteristics based on the data; retrieving adaptive rehabilitation activity items from a rehabilitation activity database according to the rehabilitation tolerance characteristics; the rehabilitation activity items are distributed to different time periods in combination with the work and rest exercise data to generate rehabilitation execution plans; collecting behavior feedback data and physiological change data during plan implementation; and finally, combining the data to correct rehabilitation tolerance characteristics and update an execution plan. Precise matching between rehabilitation activities and individual states of patients is achieved, and a dynamic balance mechanism is established between promotion of functional recovery and avoiding of wound injuries.

The invention relates to the technical field of intelligent rehabilitation medical treatment, in particular to an AOFAS score prediction-based dynamic optimization regulation and control system for an ankle function recovery course. The method comprises the steps that a multi-source rehabilitation data collecting and processing unit collects treatment course data of ankle joint recovery of a patient, the treatment course data is preprocessed, a rehabilitation feature vector is generated, and the generation process of the rehabilitation feature vector is corrected through a plantar pressure compensation analysis algorithm; and the AOFAS score evolution prediction unit establishes a time sequence prediction model of the AOFAS score changing along with the progress of the ankle joint recovery treatment course by using a long-short-term memory network based on the rehabilitation feature vector, and outputs an AOFAS score prediction result in a future rehabilitation period. By means of the multi-source rehabilitation data collecting and processing unit and a built-in plantar pressure compensation analysis algorithm, compensatory load signals of healthy side limbs can be intelligently recognized and eliminated from collected multi-source data such as plantar pressure.

The invention relates to the technical field of recovery training, in particular to a hand function recovery training interaction method and system, and the method comprises the following steps: continuously collecting joint angles, calculating a change rate, building a feature vector, comparing a threshold value, determining a state generation instruction, adjusting parameters, shortening a stroke, obtaining a self-adaptive scheme, calculating fluctuation, and determining effectiveness. And when invalid, establishing a dynamic compensation scheme based on historical data. According to the method, the joint angle is collected in real time, the change rate is calculated, the motion feature vector is established, the abnormal speed or stiff risk state is automatically judged based on threshold comparison, the speed is adjusted or the torque is increased, the stroke is shortened in combination with the safety range, displacement fluctuation is evaluated, and when training is judged to be effective and invalid, a dynamic compensation scheme is established; real-time data driving decisions are introduced, the joint load risk is reduced, the stiffness occurrence probability is relieved, meanwhile, progress continuity is optimized through dynamic compensation, training stability and personalized adaptive capacity are enhanced, and rehabilitation efficiency and effect reliability are integrally improved.

The application relates to a post-illness limb function recovery training device, which comprises a chassis, a cushion fixed at the upper end of the chassis and a fixing frame fixed at one end of the chassis, two sliding frames are fixed at the upper end of the fixing frame, and the right lower end of the sliding frame is fixedly connected with the chassis. The device can move forward and backward through the soft foot cover and the horizontal rod after operation, and can perform lower limb training such as leg stretching and knee bending, improve the knee joint activity, prevent postoperative joint stiffness, and can separate and approach the two soft foot covers, open the two feet from the close to the two sides, and then recover the close, improve the hip joint activity and the lower limb stability, further improve the postoperative lower limb rehabilitation training effect, and in addition, during the lower limb training, the backrest can be slightly rotated, the upper body can be moderately moved during the lower limb training, the whole body coordination is enhanced, the whole body blood circulation is promoted, and the risk of local blood stasis of the upper body is reduced.

The invention relates to a kind of alloy ceramic composite knee joint prosthesis and its preparation method.The prosthesis is composed of femoral condyle and tibial plateau, both of which are made of alloy and ceramic composite material, the bottom of tibial plateau is made of alloy with high strength and wear resistance, and the top of tibial plateau is made of alloy and ceramic material mixed and made by 3D printing.The preparation process combines powder metallurgy and 3D printing technology to ensure the accurate distribution and structure of the material.In addition, the shape and size of the prosthesis can be customized according to the needs of the patient to achieve better matching and functional recovery.

The invention belongs to the technical field of medical apparatus and instruments, and particularly relates to orthopedic postoperative bleeding suppression and function recovery auxiliary equipment which comprises a thigh fixing brace, a shank fixing brace and a driving module, and a man-machine interaction module and an intelligent pressurization fixing module are fixedly arranged on the outer side of the thigh fixing brace; a wound avoiding notch is formed in the middle of the intelligent pressurization fixing module, when the shank fixing brace drives the legs to bend in the exercise process, the shank fixing brace can drive the swing type pressurization module to work in a linkage mode, and the swing type pressurization module can inflate the side wing air bags; the inflated side wing air bags can gently, continuously and slightly extrude skin tissues on the two sides of a wound towards the middle, transverse gathering force is generated, wound transverse tension caused by knee bending can be resisted, the wound at the knee can be prevented from being disintegrated during leg bending exercise, and the wound healing effect is improved. The intelligent pressurizing hemostasis function in the early stage of the operation and the active rehabilitation training function in the middle and later stages are integrated into a single device, and seamless connection of treatment can be achieved.

The present application relates to the technical field of health assessment, in particular to a kind of orthopedics rehabilitation process real-time monitoring and evaluation method, comprising the following steps, based on gait biomechanics parameters, feature point is identified, node is optimized in combination with weight, step frequency and stride change, extract node correction parameter group, analyze knee joint and ankle joint muscle strength change, in combination with gait stability and joint activity, obtain correlation index proportion sequence.In the present application, parameters such as step frequency, stride, weight are combined with automatic identification of feature points within gait cycle, through dynamic correction of feature point determination standard, the time sequence sensitivity and individual adaptability of data are enhanced, muscle strength recovery, gait stability index is synchronized integrated and quantified in different stages, the linkage relationship between indexes can be adjusted according to real-time data, further support the accurate tracking of functional recovery path, and rehabilitation progress can be reflected by dynamic structure of multi-dimensional parameters.