3136 results about "Orthopedic department" patented technology

The invention relates to the technical field of medical rehabilitation, in particular to an artificial intelligence-based orthopedic full-cycle rehabilitation management system, which comprises a rehabilitation demand evaluation module, a three-dimensional pathological modeling module, a multi-modal training generation module, a rehabilitation effect prediction module, a dynamic parameter adjustment module and a full-cycle management module. Multi-dimensional data such as bone mineral density, joint motion range, gait mechanics and psychological state of a patient are collected, an artificial intelligence algorithm is combined for analysis, a personalized rehabilitation scheme is generated, and rehabilitation parameters are predicted and adjusted in real time. The system can dynamically correct the training intensity, the nutritional supplement dosage, the psychological intervention mode and the rehabilitation schedule, and the safety and reliability of data are guaranteed through the block chain technology; according to the system, biomechanics, nutriology, psychology and environmental factors are comprehensively fused, the system has strong adaptive ability and full-period management ability, real-time optimization can be performed according to the rehabilitation process of a patient, and the rehabilitation effect of the orthopedics department and the satisfaction degree of the patient are remarkably improved.

The invention discloses an intelligent orthopedic rehabilitation self-adaptive evaluation method and device based on multi-modal physiological feedback. The method comprises the steps that multi-modal physiological data including electromyographic signals, knee joint three-dimensional motion trails, plantar pressure distribution and cognitive input degree of a subject are synchronously collected; constructing a three-dimensional baseline vector according to the MMT muscle force test, knee joint ROM measurement and VAS pain score of the subject; inputting the multi-modal physiological data and the three-dimensional baseline vector into a personalized orthopedic rehabilitation model, and outputting a knee joint function index prediction value and personalized rehabilitation adjustment parameters; dynamically adjusting electrical stimulation parameters according to rehabilitation adjustment parameters output by the personalized orthopedic rehabilitation model; if the cognitive load index exceeds the early warning line, the electrical stimulation intensity is reduced; otherwise, activating the hippocampus body wave stimulation mode. Adjustment is carried out according to the real-time state of the subject, blindness and subjectivity in the rehabilitation process are avoided, and the rehabilitation efficiency and success rate are improved.

The invention discloses a remote monitoring and guiding system for rehabilitation training in the orthopedics department, particularly relates to the technical field of medical rehabilitation intelligent monitoring, and is used for solving the problems that in an existing remote rehabilitation system, timing sequence dislocation exists in action recognition and regulation and control instruction execution, and joint movement safety early warning is delayed. According to the method, localized time sequence alignment processing is performed on joint movement data and electromyographic signals based on edge computing nodes, a joint linkage action time sequence difference is generated, and an abnormal action risk level is judged in real time by combining an electromyographic signal pre-activation feature and a conflict detection mechanism of a standard action intention; historical abnormal records are matched through the cloud platform to generate a hierarchical regulation and control instruction set, and progressive safety intervention is triggered by the patient end equipment according to the dynamic deviation of the joint activity; through a collaborative mechanism of edge side action stage accurate analysis, electromyographic signal feed-forward verification and multi-stage instruction dynamic binding, millisecond-level response of joint linkage abnormity in staged rehabilitation training is realized, and the risk of joint over-limit activity is effectively avoided.

The invention provides an orthopedic surgery navigation method, device and system, electronic equipment and a storage medium, and relates to the technical field of computers.The method comprises the steps that a three-dimensional bone model of a diseased bone is generated based on a first image and a second image, and surgery parameters corresponding to the diseased bone are obtained based on the three-dimensional bone model and all bony mark points on the three-dimensional bone model, on the basis of the corresponding relation between all the bony mark points on the three-dimensional bone model and all the bony mark points on the affected bone, the affected bone and the three-dimensional bone model are registered, the mapping relation between the affected bone and the three-dimensional bone model and / or the first image is established, and surgical navigation is conducted on the basis of the surgical parameters corresponding to the affected bone and the mapping relation. According to the orthopedic surgery navigation method, device and system, the electronic equipment and the storage medium provided by the invention, more objective and quantitative preoperative surgery planning can be realized under the condition that the diseased bone of the patient has bone defect and / or abnormal shape, and more accurate diseased bone space positioning can be realized in the orthopedic surgery.

The invention relates to an orthopedic postoperative drainage liquid infection risk identification method. Drainage liquid is regarded as system output jointly driven by postoperative local immune regulation and wound recovery; capturing a nonlinear time sequence curve; first-order derived trend modeling is carried out; abrupt change after the change rate is stable is analyzed; establishing a postoperative recovery normal path framework, and forming a standard recovery trend library by using drainage fluid dynamic parameters of non-infected cases; comparing the Euclidean offset degree and directional change between the drainage parameter behavior vector of the current patient and the standard trajectory; the change is converted into a visual recovery offset map, and infection prediction data is measured from a multi-day trend angle; constructing and identifying local abnormal signal aggregation; forming a framework of infection event transition to obtain clinical infection nodes of qualitative change caused by quantitative change; according to the method, early-stage accurate recognition can be realized, the intervention opportunity can be obviously advanced, single threshold misjudgment is avoided, the recognition accuracy and specificity are improved, the model adaptability is improved, and the recognition interpretability is enhanced.

The invention relates to the technical field of intelligent medical treatment and personalized nursing assistance, and particularly discloses a method and a system for generating a nursing assistance scheme for orthopedic patients. The method comprises the following steps: acquiring multi-modal data such as an electronic medical record, a medical image and rehabilitation monitoring, and constructing a semantic structure body; extracting a key rehabilitation state by using a graph neural network and time sequence modeling and generating a label graph; semantic matching and limiting condition extraction are carried out in combination with a nursing target library, and a target-constraint pair set is constructed; reasoning a nursing path based on a path generation model, and performing scoring modeling and weight updating in combination with execution feedback; and finally, cross-patient optimization and closed-loop semantic updating of the path model are realized. According to the method, the individuation and dynamic adaptive capacity of nursing path generation can be improved, and the intelligent level of nursing aid decision making is improved.

An orthopedic tool includes a main body and a reference member. The reference member may be configured to engage an anatomical feature of a patient, such as the patient's bone. The angle of the reference member may be adjusted using a knob.

The invention discloses bone cement for orthopedic repair and a preparation method thereof, and relates to the technical field of bone cement. The bone cement for orthopedic repair comprises solid-phase powder and a liquid-phase component, the solid-phase powder comprises the following components in parts by weight: 55-65 parts of composite calcium phosphate, 10-15 parts of bioactive glass, 2-3 parts of a developing agent, 1-2 parts of hydroxyapatite, 8-12 parts of a modified toughening agent and 2-3 parts of nano cellulose fibers; the liquid phase component is prepared from the following components in parts by weight: 40 to 50 parts of a sodium alginate solution, 10 to 20 parts of methacrylated gelatin, 0.5 to 1 part of transglutaminase, 30 to 60 parts of a citric acid buffer solution and 1 to 2 parts of an antibacterial agent. The preparation method comprises the following steps: reacting pentaerythritol with 12-oxododecanoic acid to obtain an intermediate 1, and reacting the intermediate 1 with dopamine to prepare the modified toughening agent. The bone cement for orthopedic repair prepared by the invention has good mechanical, self-repairing and antibacterial properties.

A surgical planning system for use in surgical procedures to repair an anatomy of interest includes a preplanning system to generate a virtual surgical plan and a mixed reality system that includes a visualization device wearable by a user to view the virtual surgical plan projected in a real environment. The virtual surgical plan includes a 3D virtual model of the anatomy of interest. When wearing the visualization device, the user can align the 3D virtual model with the real anatomy of interest, thereby achieving a registration between details of the virtual surgical plan and the real anatomy of interest. The registration enables a surgeon to implement the virtual surgical plan on the real anatomy of interest without the use of tracking markers.

The invention discloses a self-adaptive adjustment nerve electrophysiology monitoring device for an orthopedic tumor operation, and belongs to the technical field of medical equipment. The system comprises a signal acquisition module, a signal feature extraction module, a self-adaptive adjustment control module and an intraoperative feedback early warning module, the signal feature extraction module carries out multi-angle feature extraction on neural signals and accurately identifies changes of neural states in a complex signal environment, and the self-adaptive adjustment control module dynamically adjusts monitoring and stimulation strategies according to changes of real-time neural signals in an operation, compares pre-operation baseline signals with the real-time signals in the operation, and determines whether the neural states are changed or not according to the pre-operation baseline signals and the real-time signals in the operation. The change trend of the nerve state is accurately judged, whether the nerve signal is in the normal physiological fluctuation range or not is evaluated, the intra-operation feedback early warning module converts the nerve signal into visual and auditory feedback, the perception ability of an operator to the nerve state is improved, the nerve injury risk is dynamically evaluated, and the operation safety is improved. And according to the risk level, different levels of early warning mechanisms are triggered, and an operator is suggested to adjust an operation strategy.

The invention provides a remote orthopedic rehabilitation progress evaluation method and system based on digital twinning, and relates to the technical field of medical rehabilitation, and the method comprises the steps: obtaining the body data and rehabilitation exercise task data of a patient; inputting the body data and the rehabilitation exercise task data into a digital twin model; determining a state feature vector of the patient through the digital twin model; inputting the state feature vector into an orthopedic rehabilitation progress evaluation model; determining a rehabilitation progress score of the patient through the orthopedic rehabilitation progress evaluation model; determining a planning score difference degree according to the rehabilitation progress score, and dividing a rehabilitation exercise task according to the planning score difference degree; and adjusting the rehabilitation exercise task according to the division result. According to the invention, the accurate orthopedic rehabilitation progress can be provided, so that the orthopedic rehabilitation treatment is more efficient, flexible and accurate.

Systems, apparatuses, and methods concerning identifying and classifying target orthopedic joints using one or more deep learning networks and alignment angles, wherein the deep learning networks are configured to identify one or more alignment angles of the identified target orthopedic joint to then classify the target orthopedic joint into one or more classes selected from a set of pre-defined classes. Exemplary systems, apparatuses, and methods may further comprise recommending a type of surgical procedure based on the classification of the identified target orthopedic joint.

The invention relates to the technical field of medical image detection, and discloses an orthopedic image auxiliary detection system based on big data, and the system comprises the steps: carrying out the sharpness processing of a to-be-detected orthopedic image through fuzzy detection, obtaining a corresponding clear orthopedic image, building and training an integrated classification-positioning cascade model based on big data, judging whether the clear orthopedic image to be detected is normal or not, positioning an abnormal part in the abnormal clear orthopedic image, marking the positioned abnormal part as an abnormal image block, constructing and training an orthopedic disease classification model based on big data, identifying the disease of the abnormal image block through the orthopedic disease classification model, and if the disease cannot be identified, judging whether the image is abnormal or not. And if yes, marking the abnormal image block as a difficult image block, triggering difficult identification, constructing a structured difficult orthopaedic image library, if difficult identification is triggered, screening similar images of the difficult image block in the difficult orthopaedic image library as auxiliary detection basis output, and updating the difficult orthopaedic image library.

The invention belongs to the field of medical materials. The invention provides a porous artificial bone and a preparation method thereof, the components of the porous artificial bone comprise absorbable macromolecules and an orthopedic inorganic implant material, the mass ratio of the absorbable macromolecules to the orthopedic inorganic implant material is 1: 0.1-2, the porous artificial bone has a through porous structure, the porosity is greater than 70%, and the pore size distribution range is less than 500 [mu] m. The porous artificial bone has a pore structure and mechanical properties beneficial to bone regeneration, the pore diameter is stable, the mechanical properties are appropriate, after the porous artificial bone is implanted into a defect part, the bone volume is always increased, the increase rate of regenerated bone tissue is remarkably improved, the effect of bone conduction is effectively achieved, bone regeneration is very beneficial, and animal experiments prove that the porous artificial bone has a good application prospect. The material can be used for filling and repairing various bone defects in orthopedic surgery. The preparation method is simple, stable and effective, can be absorbed, is low in cost, has great market potential, and is simple, stable and effective compared with a conventional artificial bone preparation method at present.

The invention relates to the technical field of orthopedic surgery, in particular to a system for automatically planning a screw channel range, which comprises a medical image acquisition module used for receiving and preprocessing CT, MRI and other medical images from medical equipment; the three-dimensional reconstruction module is used for performing three-dimensional reconstruction on the preprocessed two-dimensional medical image to generate a three-dimensional skeleton model; the multi-constraint path planning module is used for planning a candidate path set meeting anatomical and mechanical constraints in the three-dimensional skeleton model; the parameter calculation module is used for calculating path information of the candidate path set; and the visualization module draws a screw channel based on the path information and displays related parameters. The method has the advantages that the candidate path set meeting various anatomy and mechanical constraints can be planned in the three-dimensional skeleton model, the path length and the path included angle are calculated according to the candidate path set, the screw channel is drawn based on the path information, and the accuracy and safety of surgical planning are improved.

A device for use in orthopedic procedures involving the alignment and fixation of bone. The device includes a body having a bone facing surface, an opposing surface, a lateral surface being disposed between the bone facing surface and the opposing surface and a longitudinal axis extending through the bone facing surface and the opposing surface. The body defines a pin hole extending through the body from the bone facing surface to the opposing surface, a bone fastener hole extending through the body from the bone facing surface to the opposing surface, a tool hole extending at least partially through the body and an alignment index for positioning the body relative to bone.

Systems and methods for joint replacement are provided. The systems and methods include a surgical orientation device, a reference sensor device, and at least one orthopedic fixture. The surgical orientation device, reference sensor device, and orthopedic fixtures can be used to locate the orientation of an axis in the body, to adjust an orientation of a cutting plane or planes along a bony surface, or otherwise to assist in an orthopedic procedure(s).

The invention belongs to the technical field of orthopedic surgery navigation, discloses a communication and positioning integrated orthopedic surgery navigation method and system based on multi-dimensional perception, and aims to solve the problems that in an existing orthopedic navigation technology, optical navigation is prone to being shielded, multipath interference of UWB positioning is serious, and real-time performance is insufficient. Comprising the steps of obtaining measurement values including positioning data of a UWB positioning module, ranging data of a laser ranging module and an attitude angle of an IMU module; according to the method, extended Kalman filtering is adopted, positioning data of a UWB positioning module, ranging data of a laser ranging module and an attitude angle of an IMU module are taken as state vectors, dynamic adjustment of credibility is realized by adjusting a process noise matrix of a state equation and a measurement noise matrix of a measurement equation according to task characteristics, and the credibility of the UWB positioning module is improved according to data of different credibility. And resolving the pose state of the tail end of the surgical instrument. The method has the advantages of high positioning precision, high response speed, high environmental adaptability and high resource efficiency.

A personalized fixation system includes a surgical planning software tool configured to adjust relationships of relevant anatomy of a subject, at least one bone anchor, a plate having a shape that does not conform to a single plane, the plate configured to accept the at least one bone anchor, wherein the shape of the plate is at least partially determined by the surgical planning software tool, and wherein the plate includes at least one node having a hole configured to receive the at least one bone anchor, and a locking element configured to connect the at least one bone anchor to the plate, wherein the plate is manufactured using additive manufacturing.

The embodiment of the invention is suitable for the technical field of computer-aided medical treatment, and provides an orthopedic surgery robot system and a computer program product, and the orthopedic surgery robot system comprises an orthopedic surgery robot and a flexible pressure sensor connected with the orthopedic surgery robot; wherein the flexible pressure sensor is used for collecting first data of the knee joint in the operation process and transmitting the first data to the orthopedic operation robot, and the first data at least comprises stress information of the knee joint in the operation process; the orthopedic surgery robot is used for obtaining second data corresponding to the first data in the surgery process, visual knee joint stress distribution information is generated according to the first data and the second data, the knee joint stress distribution information is displayed through the display interface, and the second data at least comprises the flexion and extension angle and the joint gap of the knee joint. By the adoption of the orthopedic surgery robot system, the stress condition of the knee joint in the surgery process can be accurately monitored, and accurate mechanical feedback is provided for the surgery.

An orthopedic surgical robot system (100) and an orthopedic surgical robot operating method. The system comprises: a preoperative planning module (101) for acquiring image data of a surgical site, reconstructing a three-dimensional model of the surgical site on the basis of the image data, and determining a preoperative planning result on the basis of the three-dimensional model; a control module (102) for acquiring the preoperative planning result, and on the basis of the preoperative planning result, controlling a navigator (103) and a robotic arm (104) to perform surgical registration, alignment, and surgical operations; and an evaluation module (105) for performing post-operative evaluation on the surgical site after the surgical operation. The orthopedic surgical robot system (100) can improve the degree of integration of an orthopedic surgical robot, and is applied to different orthopedic surgical scenes.

The invention relates to the technical field of medical rehabilitation, and discloses a multi-modal data fusion and real-time monitoring method and system for orthopedic rehabilitation, and the system comprises a multi-modal data collection module, a data fusion processing module and a real-time monitoring execution module. The system is provided with a multi-modal feature calibration module, when the rehabilitation state of an orthopedic patient is dynamically evaluated, the system aligns the time sequence difference between a motion track and muscle fatigue features in real time by deploying a feature fusion model based on an attention mechanism, and joint load analysis distortion caused by multi-modal data delay can be corrected in a millisecond level; the accuracy of rehabilitation risk assessment is ensured, the joint secondary injury risk is reduced, an environment coupling risk identification unit is arranged, when abnormal action active early warning is carried out, the joint motion range and environment factors are dynamically associated through a reinforcement learning algorithm, the gait safety threshold value under the ground wet and slippery condition is corrected in real time, and the joint secondary injury risk is reduced. And the safety and the response real-time performance of the rehabilitation process are ensured.

The invention relates to the technical field of medical clinical auxiliary diagnosis, in particular to an orthopedic postoperative complication early detection and early warning system based on data analysis, which comprises a multi-modal sign synchronous acquisition module, a sign dynamic difference quantification module, a complication feature association module, a grading early warning decision module and a dissection calibration visualization module. Wherein the multi-modal sign synchronous acquisition module is used for acquiring postoperative data of a patient; calculating a difference quantization parameter; the complication characteristic association module is used for identifying associated risk characteristics of the osteofascia ventricular syndrome, the deep venous thrombosis and the fat embolism; and the grading early warning decision module is used for generating a three-level early warning instruction based on the associated risk characteristics. According to the system and the method, through a multi-modal sign synchronous acquisition, difference quantification and grading early warning linkage mechanism, accurate recognition, risk grade division and visual intervention guidance of postoperative complications are realized, and the continuity of postoperative monitoring and the timeliness of early warning are improved.

The utility model discloses an orthopedic drill bit with controllable drilling depth, which comprises a fixing sleeve for fixing a drill bit body, and a limiter and a locking component are mounted at the bottom of the fixing sleeve; a plurality of telescopic holes are formed in the bottom of the fixed sleeve; the limiting stopper comprises a limiting ring, a plurality of moving rods are installed at the top of the limiting ring, springs are further installed at the ends of the moving rods, and the moving rods, namely the springs, are all installed in the telescopic holes; by means of the limiting stopper and the scales, a user can accurately set and read the drilling depth according to needs, and the drilling accuracy and safety in the operation process are guaranteed; due to the design of the movable rod and the telescopic hole, the depth can be adjusted easily and rapidly, and the operation flexibility in the operation process is improved; the limiting ring and the locking assembly are combined for use, the drill bit can be effectively prevented from excessively drilling in, and therefore bone tissue and surrounding soft tissue of a patient are protected against damage.

A computer-implemented method for designing a patient-specific orthopedic implant can include creating a user account associated with a patient. A patient-specific orthopedic implant can be designed based on patient data and imaging data. A healthcare provider can provide feedback for a design of the patient-specific orthopedic implant, treatment protocol, or other aspects of treatment. The patient can provide data and feedback.

An optical cannula system can include a cannula, a body, a first tube, a second tube, and a valve assembly. An outer cannula wall can define an interior space extending along an axis of the cannula. One or more inner cannula walls within the outer cannula wall can divide the interior space into a first channel and a second channel. A proximal portion of the cannula can be received within the body. The first and second tubes can extend from the body. The valve assembly can have a first configuration in which the first tube is in fluid communication with the first channel and the second tube is in fluid communication with the second channel. The valve assembly can have a second configuration in which the first tube is in fluid communication with the second channel and the second tube is in fluid communication with the first channel.

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

The 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.

An example method includes obtaining, by one or more processors, a target atlas of a particular patient on which an arthroplasty procedure is to be performed; selecting, by the one or more processors and based on a comparison of values of the target atlas and a plurality of reference atlases of other patients on which the arthroplasty procedure has been performed, at least one reference atlas of the plurality of reference atlases of the other patients; and determining, by the one or more processors and based on the selected at least one reference atlas, one or both of an implant size and an implant alignment for the particular patient.

The invention discloses an image recognition system for constructing osteoporotic vertebral fracture healing based on artificial intelligence, and particularly relates to the technical field of orthopedic treatment, which comprises a data preprocessing module for extracting and optimizing data from an original medical image. According to the method, the advantage of discipline crossing is developed, a recognition system on medical imaging is developed based on deep learning, the advantage that the recognition system can discover detail features and hidden rules which cannot be found by human beings is utilized, and then a large amount of structured data is utilized to automatically learn and train visual feature expression of abstract data, so that the clinical missed diagnosis rate is reduced, and the clinical diagnosis efficiency is improved. The artificial intelligence architecture is trained by a rigorous and scientific means, so that the artificial intelligence architecture has clinical experience and knowledge of high-age dominant doctors and is popularized in local hospitals to achieve an auxiliary diagnosis effect, the difference of medical differentiation is reduced, the technical and experience defects of local medical personnel are made up, and the technical and experience defects of the local medical personnel are overcome. The aim of improving the definite diagnosis rate of diseases and reducing the missed diagnosis rate is one of the purposes of the invention.