79 results about "Bone structures" patented technology

The invention relates to a skeleton action recognition method based on spatio-temporal topology learning, and belongs to the technical field of computer vision and artificial intelligence. The method comprises the following steps: constructing a two-dimensional topological coding module to capture a static topological relation and a dynamic topological relation of a skeleton structure at the same time; a multi-level space attention aggregation module is adopted to carry out adaptive weighted aggregation on skeleton features of different levels so as to enhance the expression ability of key nodes and edges; a time dynamic sequence pooling method is designed, high-order dynamic information of time sequence data is extracted based on a dynamic mode decomposition strategy, and the accuracy of action recognition is improved. The method has the advantages that time-space structure information of skeleton data can be fully utilized, accurate recognition of human body actions is achieved, meanwhile, the modeling capacity of complex dynamic behaviors is improved, and the limitation of a traditional method in capturing high-order dynamic information is avoided.

The invention discloses a personalized orthopedic surgery planning method based on machine learning, and relates to the technical field of personalized medical treatment, and the method comprises the steps: collecting medical data of a patient, generating a personalized basic data set of the patient, building a risk prediction model, and obtaining a predicted surgical risk score; preprocessing the basic data set, and extracting features of the skeleton structure of the patient based on a deep learning algorithm; training the personalized orthopedic surgery planning model, optimizing the historical patient data based on the personalized orthopedic surgery planning model, and predicting an optimal surgery plan; and outputting a personalized operation scheme according to the trained machine learning model. According to the method, machine learning and personalized orthopedic surgery planning are combined, a personalized surgery scheme is customized for each patient, the most suitable surgery scheme is provided for the patient in combination with historical data and the risk prediction model, the surgical treatment effect and the life quality of the patient are remarkably improved, and the method has wide clinical application prospects.

According to the modularized ultrasonic-guided lumbar puncture teaching model provided by the invention, on the basis of the detachable modularized ultrasonic-guided lumbar puncture teaching model, the pathological bony structure module for simulating the corresponding pathological conditions of the lumbar structure is introduced, so that the lumbar puncture process in different pathological states is simulated; therefore, trained medical staff can be helped to better understand the anatomical basis and operation key points of lumbar puncture, the understanding of different pathological changes is deepened, and an experimental platform is provided for studying the improvement of lumbar puncture operation, the occurrence mechanism of puncture-related complications and the like. Furthermore, better lumbar puncture operation in actual clinical work is promoted through a better teaching and training effect, and the medical service experience and personal safety of a patient are guaranteed.

The invention discloses a topological mapping monitoring and correcting method for abnormal scapular brachial rhythm after breast surgery, and belongs to the field of medical rehabilitation and computer vision. The method comprises the following steps: acquiring a trunk dynamic three-dimensional point cloud and infrared thermal imaging data; constructing a multi-layer collaborative dynamic topology network fusing a skeleton structure, soft tissue deformation and physiological activeness; extracting an intrinsic motion field and comparing the intrinsic motion field with the ideal model to generate deviation measurement; and calculating a dynamic instability index, comparing the dynamic instability index with a threshold value, and triggering optimization energy correction path calculation and instruction output. According to the method, the multi-dimensional topological mapping and dynamics prediction technology is adopted, accurate recognition and feed-forward early warning of motion abnormity under the influence of deep tissue adhesion after the breast surgery can be achieved, rehabilitation of a patient is guided through an energy consumption minimization path, and the accuracy of shoulder joint function remodeling and the individualized treatment effect are improved.

The invention relates to the technical field of computer vision, in particular to a sheep abnormal behavior detection method based on video analysis, which comprises the following steps of: processing a multi-view video or monocular video data stream, performing posture recognition on each sheep in continuous video frames, establishing a skeleton movement time sequence record of each sheep in continuous time, and recording the skeleton movement time sequence record of each sheep; and generating a three-dimensional bone key point sequence of the sheep. According to the method, posture recognition is carried out on the skeleton structure of each sheep in the continuous video frames, the key point positions of the four limbs are positioned, and the motion trails in the continuous time period are established in cooperation with three-dimensional skeleton reconstruction, so that animal behaviors obtain the expression basis in the space dimension and the time dimension at the same time. And in combination with the key structure vertical displacement, step length and ground contact duration of the left and right limbs in the support phase, a parameter set with symmetry evaluation ability is constructed, and the abnormal gait state caused by small motion difference can be quantified.

The invention discloses an orthopedic surgery navigation drilling and implant placement intention real-time optimization method based on multi-modal perception, and relates to the technical field of computer-aided surgery, man-machine interaction and intelligent medical equipment. Multi-modal signals such as electroencephalogram, eye movement and myoelectricity of a doctor are collected in real time through XR glasses and an intelligent surgical drill; and inputting the pre-trained micro-world model to generate a current intention vector and predict a future bone structure trajectory. The intention level is judged by calculating the energy distance between the intention and the master template and an emotional value function: when the intention meets the master level condition, the system automatically generates an XR green optimal path and assists in operation; and when the intention is identified as the risk intention, triggering the skykeeper system to lock the equipment and send out an alarm. The system supports a data federation learning evolutionary model, and immediately destroys an original multi-mode signal after encoding to guarantee data security. According to the invention, the real-time monitoring, evaluation and guidance of the operation intention are realized, and the accuracy and safety of the operation are improved.

The invention relates to the technical field of knee joint brace design, and discloses a knee joint brace personalized design method based on 3D printing. The method comprises information of a skeleton structure, a soft tissue contour and a joint motion range. Determining a personalized anatomical feature set of the knee joint by combining a preset knee joint biomechanical knowledge base on the basis of the three-dimensional scanning data; according to the personalized anatomical feature set and the corresponding at least one design rule file, dividing the stereo scanning data into a macroscopic structure region and a microscopic detail region; the macrostructure area outputs skeleton frame data, and the data is transmitted to the microcosmic detail area for guiding soft tissue matching analysis; constructing a three-dimensional model of the knee joint brace based on a division result; and converting the three-dimensional model into a 3D printing instruction file which is used for driving 3D printing equipment to produce the personalized knee joint brace. According to the method, personalized manufacturing of the knee joint brace is achieved through multi-dimensional data fusion and structural collaborative design.

The embodiment of the invention provides an orthopedic implant monitoring method, device and system and a readable storage medium, and the method comprises the steps: obtaining a sound signal generated by a knocking operation in a process that an implant is embedded into a designated region in a skeleton structure; and acoustic characteristics of the sound signal are acquired, and according to the acoustic characteristics, fitting degree information of the implant and a designated area in the skeleton structure is determined.

The utility model relates to the technical field of heating and ventilation pipeline internal cleaning equipment, disclose a kind of scale cleaning equipment in heating and ventilation pipeline inside, including base, it is characterized in that, the upper side of base is fixedly connected with load-bearing support, the upper side of load-bearing support is sequentially head-tail rotationally connected with multiple snake bone joints, each snake bone joint includes thimble and two pull rods, two pull rods are fixedly connected to the lower side of thimble respectively, and two pull rods are symmetrically distributed, two sides outside each thimble are respectively provided with limiting slot, the utility model can make the snake bone structure of multiple thimble groups make various space swing angles by servo motor pulling steel wire rope, turning, obstacle-crossing ability is stronger, so that high-pressure water gun assembly can shuttle in any heating and ventilation pipeline scene containing tee branch, can all be responsible for the work of cleaning pipeline internal scale.

The invention discloses a pelvic cavity tissue implantation teaching model body and a teaching evaluation method, and the model body comprises a pelvic cavity shell model body which is used for simulating an external anatomical structure of a human pelvic cavity and can be detached into two parts which are in bilateral symmetry, and the interiors of the two parts respectively comprise pelvic bone structures; the target region endangered organ die body is arranged in a space formed by folding the left part and the right part of the pelvic cavity shell die body and is used for simulating a real target region tissue and a surrounding organ at risk, and two parallel gaps which are spaced at a fixed distance are formed in the die body; the coordinate paper acquisition system comprises two pieces of coordinate paper which are arranged in parallel, and the two pieces of coordinate paper are respectively arranged in two parallel gaps on the target region endangered organ mold body and are used for recording the spatial position information of the implanting needle; and the connecting handle is detachably connected with the target region endangering organ die body through a first standardized interface, and a whole formed by connecting the target region endangering organ die body and the connecting handle is detachably connected with the left part and the right part of the pelvic cavity shell die body through a second standardized interface.

Ultrasound energy therapy devices, systems, and methods for the treatment of a condition via neuromodulation of a nerve in a tissue, such as a spleen or liver. A therapy device having a transducer array configured to transmit ultrasound energy to the spleen or liver for neuromodulation. One or more transducers configured to transmit and receive ultrasound energy to detect the presence of bone or air between the spleen or liver and the therapy device. Detection of an obstruction can be used to guide an operator to adjust the alignment of the therapy device with the skeletal structure of the patient to minimize reflection of the energy transmitted from the transducer array to the spleen or liver.

This invention relates to a skeletal action recognition method based on spatiotemporal topology learning, belonging to the field of computer vision and artificial intelligence technology. The method includes: constructing a two-dimensional topology coding module to simultaneously capture the static and dynamic topological relationships of the skeletal structure; employing a multi-level spatial attention aggregation module to adaptively weight and aggregate skeletal features at different levels to enhance the expressive power of key nodes and edges; and designing a temporal dynamic sequence pooling method to extract high-order dynamic information from time-series data based on a dynamic modality decomposition strategy, thereby improving the accuracy of action recognition. The advantages are: this method can fully utilize the spatiotemporal structural information of the skeleton data to achieve accurate recognition of human actions, while improving the modeling ability for complex dynamic behaviors, avoiding the limitations of traditional methods in capturing high-order dynamic information.

The application relates to a bendable electrode with a liquid channel and a system thereof, and belongs to the technical field of orthopedic surgical instruments. The bendable electrode comprises a handle, a plasma electrode and an insertion part. The insertion part is connected to the handle at one end, and comprises an outer tube and an inner tube. The outer tube is movably arranged in the handle at a proximal end and can move along the axis direction of the outer tube, and the distal end of the outer tube is provided with an outer bendable section. The inner tube is arranged in the outer tube, and the proximal end of the inner tube is fixedly connected to the handle, and the distal end of the inner tube is provided with an inner bendable section. The plasma electrode is arranged at the distal end of the inner bendable section, and is provided with a liquid injection port. The inner and outer tubes with multi-dimensional adjustment capacity are arranged in the insertion part, the snake bone structure is matched with the telescopic outer tube, and the electrode system can realize flexible guidance and multi-angle accurate positioning in a complex surgical path.

The present invention provides an intramedullary nail aimer and a surgical instrument box containing the same, belonging to the technical field of surgical instruments. The intramedullary nail aimer comprises a proximal aiming module, an adjustment module, and a distal aiming module connected in sequence; the adjustment module comprises a first adjustment block and a second adjustment block; the proximal end of the first adjustment block is connected to the proximal aiming module, the distal end of the first adjustment block is rotatably connected to the proximal end of the second adjustment block, and the distal end of the second adjustment block is connected to the distal aiming module. The intramedullary nail aimer has a simple structure and is easy to use. It can rotate when aiming at the distal end of the intramedullary nail, and can meet the needs of aiming at various angles of intramedullary nail holes. In addition, the intramedullary nail aimer has a stable structure and is detachable, and can be connected to the distal aiming module according to surgical needs. The rotation angle and vertical position of the intramedullary nail can be adjusted to meet the various needs of people of different heights, people with different bone structure curvature, etc.

This invention discloses a snake-bone structure, an active bending section, an insertion part, and an endoscope, relating to the field of medical devices. In this snake-bone structure, adjacent snake-bone units are connected by a first pivot, a second pivot, and a third pivot. The first and second pivots are located on opposite sides of the signal line channel in the radial direction, while the second and third pivots are located on opposite sides of the instrument tube channel in the radial direction. Each snake-bone unit also has an opening located between the second and third pivots, communicating with the instrument tube channel. The opening is used to install the instrument tube to be installed along the radial direction of the instrument tube channel. The first, second, and third pivots, the instrument tube channel, and the opening are all spirally distributed. The snake-bone structure of this invention, which assembles the instrument tube to be installed along the radial direction of the instrument tube channel, has the advantage of lower resistance to the instrument tube. Simultaneously, this snake-bone structure helps improve its bending accuracy and stability after bending.

A method is provided for configuring a location and / or boundary of a scan range (volume to be scanned) of a subject based on processing camera data with a predictive model to predict a position of a skeletal structure within a body and then determining the scan range based on a reference to the position of the skeletal structure. The skeletal structure locations provide spatial reference points or anchor points for defining the extent of the volume to be scanned.

Robotic surgical procedures are successively performed on a patient's bony anatomy by engaging the patient's bony anatomy with a first tool or implant coupled to a first surgical robotic arm to perform a first procedure. A second tool or implant coupled to a second surgical robotic arm is then used to perform a second procedure while the first surgical robotic arm and the first tool or implant remain engaged with the patient's bony anatomy to stabilize the bony anatomy while the second procedure is being performed with the second surgical robotic arm and second tool or implant.

The application discloses a processing method and device of a 3D printing module dissection teaching model of a nasal cavity and nasal sinus, which can be widely applied in the technical field of teaching data processing. After real nasal cavity and nasal sinus image data are acquired, a 3D virtual model including a bone structure virtual model, a soft tissue structure virtual model, a nerve and blood vessel virtual model or a skull base and eye socket virtual model is constructed according to the real nasal cavity and nasal sinus image data, then a printing process of the 3D printing module dissection teaching model is performed according to the 3D virtual model, so as to obtain a 3D printing module dissection teaching model with a proportion of 1:1 with the real nasal cavity and nasal sinus image data, and nasal cavity and nasal sinus dissection teaching is performed according to the 3D printing module dissection teaching model, so that the nasal cavity and nasal sinus structure can be restored by the 3D printing module dissection teaching model, and the 3D printing module dissection teaching effect of the nasal cavity and nasal sinus is effectively improved.

The invention discloses a medical image key point detection method and device, equipment and a medium, and aims at detection of hip joint key points in a medical CT image based on skeletal anatomy prior information and a deep neural network. According to the method, common skeleton structure missing or damage conditions in clinical image data are considered, and anatomical prior information is introduced to realize key point detection of a skeleton defect part. And the current common deep neural network structure for detection is improved, and the balance between the detection precision and the detection efficiency is realized. In addition, the method improves the loss function of the detection network, and uses a skeleton region mask to correct the position of the predicted key point, so that the predicted position result of the key point better conforms to normal cognition.

The invention belongs to the technical field of medical intelligent auxiliary systems, and particularly relates to a haptic editing system capable of being mixed with a quick virtual editing function of a real surgery, which comprises a data acquisition module used for acquiring multi-source volume data of a human body, reconstructing a digital three-dimensional model containing a bony structure, soft tissue and vascular nerves based on the multi-source data, and outputting the reconstructed digital three-dimensional model; in combination with a mixed reality space mapping technology, generating a virtual surgery scene with virtual-real fusion; the interaction control module is used for carrying out organization layering and deformation parameter space construction on the virtual operation scene data to obtain three-dimensional operation scene analysis data; and the application output module is used for analyzing the three-dimensional operation scene analysis data and the operation interaction mechanics data to generate a standard degree evaluation report and risk early warning information. According to the system, a brand-new virtual operation training platform is provided for operation workers through the mixed reality (MR) technology and the haptic interaction technology.

The present invention discloses a hip joint surgical robot based on three-dimensional scanning and image processing and a fast and accurate alignment method thereof, comprising a three-dimensional scanner, which is integratedly installed at the end of the hip joint surgical robot and is used to perform three-dimensional contour scanning of the inside of the acetabulum to generate three-dimensional image data; a central processing unit, which is tightly coupled with the three-dimensional scanner and is used to receive and analyze and process the three-dimensional image data in real time; an image processing module, which is configured to pre-process the three-dimensional image data obtained by the scan, identify and extract the bone structure, separate the bone structure contour in the acetabulum, and obtain bone structure information; the present invention can accurately distinguish between orthopedic flesh and soft tissue through the image processing module, eliminate the influence of soft tissue deformation on alignment accuracy, and achieve more accurate surgical instrument positioning and implant placement. The technical means of the present invention can not only improve the accuracy of surgical operations, but also reduce operation time, reduce the workload of doctors, and improve surgical safety.

The embodiments present a system and method for generating motion of a 3D character using rotation range constraints based on joint-specific biomechanical information based on artificial intelligence. A method according to one embodiment receives a text prompt for generating motion of a 3D character from a user terminal, inputs the text prompt into a text encoder to generate a text condition vector, obtains skeleton configuration parameters including a character type, an active joint set, and a character proportional parameter based on the text condition vector, generates skeleton structure information including joint list information, joint connection information, joint characteristic information, and joint rotation axis information based on the skeleton configuration parameters, inputs the character proportional parameter and the skeleton structure information into a biomechanics encoder to generate a biomechanics context vector including an allowable rotation range per joint, a joint type, and a bone length, inputs the text condition vector and the biomechanics context vector into a diffusion-based motion generation model to generate a rotation sequence per joint, transmits 3D motion data generated by applying the rotation sequence per joint to the user terminal, and performs scale adjustment and shift adjustment on the output feature vector generated in the graph transformer layer of the diffusion-based motion generation model using the biomechanics context vector.

The invention relates to a micropore abrasive drill with a telescopic tool bit, and belongs to the technical field of orthopedic instruments. The insertion part extends out from the far end of the holding part, and an accommodating channel is formed in the insertion part; the rotating shaft is coaxially arranged in the insertion part, and a tool bit is arranged at the far end of the rotating shaft; the insertion part adjusting device is movably installed on the holding part and used for driving the rotating shaft to move in the axial direction relative to the insertion part and adjusting the length of the part, stretching out of the far end of the insertion part, of the tool bit. Depth control is changed from manual whole machine feeding control to precise mechanism adjusting local feeding control, the grinding depth can be precisely controlled according to individual differences of patients, and the problem that the effect is affected by too shallow hole sites or the inferior bone structure is damaged due to too deep hole sites is effectively solved.

Systems and methods of detecting a presence of opacification or pneumatization in skeletal structures of patients are disclosed. The systems and methods include receiving images, processing the images using a convolutional neural network, and generating, with the convolutional neural network, an opacification score for the image. Systems and methods include training the convolutional neural network to delineate skeletal structure pixels within a computed tomography scan image and to generate an intensity value for each skeletal structure pixel within a computed tomography scan image to determine an opacification score for the computed tomography scan image.

The invention belongs to medical instruments, and particularly relates to a snake bone structure and a bronchoscope. Wherein the snake bone structure comprises a plurality of snake bone unit sections, and the multiple snake bone unit sections are sequentially hinged in the preset direction; wherein one of any two adjacent snake bone unit sections is provided with a male connector, the other one of the two adjacent snake bone unit sections is provided with a female connector matched with the male connector, and the male connector and the female connector are connected in an inserted mode and are in hinged fit, so that the two adjacent snake bone unit sections can relatively deflect; moreover, when the two adjacent snake bone unit sections relatively deflect to the maximum angle, a plurality of mutually independent supporting parts are formed between the male joint and the female joint, and meanwhile, the supporting parts abut against each other for limiting matching. In this way, the supporting stability and tensile strength of the snake bone structure in the limit deflection state can be improved, the overall anti-fatigue performance of the snake bone structure is improved, and the service life of the snake bone structure is prolonged; and the accuracy and reliability of the bending action of the snake bone structure can be guaranteed.

The invention relates to the technical field of orthopedic surgery navigation, and discloses an orthopedic surgery navigation system based on an AR technology, and the method comprises the steps: obtaining skeleton structure data of a patient through MRI scanning, carrying out the segmentation and reconstruction of original data through an image processing algorithm, and extracting a three-dimensional model of a skeleton structure; tracking and positioning the key feature region according to the extracted three-dimensional model of the skeletal structure so as to realize real-time tracking of the skeletal structure of the patient; constructing a virtual operation scene according to the skeleton structure data of the patient, and vividly rendering a skeleton model, an operation tool, a tissue and other elements by using a computer graphics technology; performing sensor calibration on the AR equipment and the surgical workstation, determining the position and direction of the AR equipment in the space by using a preset reference point or a marker, and establishing a mapping relation of a camera-world coordinate system; and performing virtual-real fusion on pre-planned navigation information and the actual skeleton structure of the patient according to the skeleton structure tracked in real time and the reconstructed operation scene, and superposing the navigation information in the visual field of a doctor in a virtual form through AR equipment to guide the doctor to perform an operation.

The invention discloses a foldable skeleton for medical care based on man-machine cooperation, and particularly relates to the technical field of intelligent medical auxiliary equipment. The framework comprises a sliding support and a device frame, sliding wheels are arranged at the bottom of the sliding support, and the top is slidably connected with the device frame through a first cylindrical sliding rod. A turnover chair panel and a transmission mechanism for driving the turnover chair panel to move are arranged on one side of the device frame, and a foldable bed assembly capable of being pulled out is arranged in the other side of the device frame. The device frame is further symmetrically connected with handrails, and auxiliary walking assemblies of bionic lower limb exoskeleton structures are arranged at the bottoms of the handrails. By integrating multiple functions of a seat, a sickbed, walking assistance and the like and adopting motor driving, flexible conversion and cooperative work of all components are achieved, and the problems that existing medical nursing equipment is single in function, low in space utilization rate and difficult to adapt to variable nursing scenes are effectively solved; the nursing efficiency and the comfort and autonomous activity ability of the patient are obviously improved.

A body area network architecture is described that establishes a communication standard using the body as the physical medium. By leveraging vascular conductivity and bone resonance, the system enables the autonomous monitoring and correction of physiological states in a closed-loop artificial homeostasis. The invention integrates metabolic energy harvesting mechanisms to power biocompatible micro-nodes and a security protocol based on the unique biological identity of the data stream. The system employs digital modulation processes to transmit biosignals through fluids and skeletal structures, eliminating reliance on external radio frequencies.This technology is applicable in precision medicine, industrial safety and advanced human-machine interface systems, providing a redundant, encrypted and ultra-low power communication infrastructure for continuous monitoring of vital parameters without external electromagnetic interference.