42 results about "Human anatomy" patented technology

The invention belongs to the technical field of gait recognition, and particularly relates to a human gait recognition method and system in a complex scene. And sequentially performing illumination correction, human body posture angle alignment and shielding processing on the extracted human body gait data, and performing human body gait recognition based on the gait data obtained after illumination correction, human body posture angle alignment and shielding processing. According to the occlusion processing, a comprehensive and reliable occlusion area judgment standard is set based on the connection relation between skeleton nodes, the human anatomy reference distance, kinematics constraint and the time continuity requirement, and then a missing human body area is reconstructed through optical flow compensation or bilinear interpolation based on information of visible pixels around the occlusion area. The accuracy of gait recognition in a complex scene is improved, the problem of adaptability of the complex scene is solved in a breakthrough mode, high-precision gait identity recognition is achieved, and the security and protection monitoring requirement of a real scene is met.

The invention relates to a multi-stage optimization and kinematics constraint-based thumb posture estimation method and computing equipment. The method comprises the following steps of: acquiring original hand data, preprocessing the original hand data, and initializing parameters; constructing a multi-objective optimization function with multiple constraints, obtaining an initial estimation thumb posture based on the preprocessed data, taking the initial estimation thumb posture as an initial value, and performing recursive calculation by using a kinematics chain to obtain an accurate angle of each joint of the thumb; integrating the accurate thumb joint angle to complete hand posture parameters and outputting the parameters; a computing device is implemented based on the method. Complete and accurate thumb kinematic chain recovery under incomplete input is achieved, it is guaranteed that all estimated thumb joint angles conform to the human anatomy activity range, and high-fidelity basic data are provided for downstream application; the generated thumb motion sequence is continuous and smooth in the time dimension, and the visual experience in real-time interaction application is greatly improved; in an interactive application, a more natural, accurate and jitter-free gesture control experience can be realized.

The utility model provides a multi-curvature ankle joint prosthesis which comprises a tibia prosthesis connected with a tibia, a talus prosthesis connected with a talus and a cushion block with one side connected with the tibia prosthesis, a joint contact surface is arranged on the other side of the cushion block, and a talus contact surface matched with the joint contact surface is arranged on one side of the talus prosthesis. The curvature of the sagittal plane Z in the talus contact face is reduced from front to back, and the instantaneous rotation center of the talus prosthesis on the joint contact face is in an arc shape. According to the multi-curvature ankle joint prosthesis, the talus contact face and the anatomical structure of the human body are high in consistency, the natural form and the motion mode of the ankle joint are accurately restored, the ankle joint prosthesis better conforms to biomechanics and kinematics in the motion process, the motion stability of the human body is improved, local friction stress of the ankle joint prosthesis is smaller, and the ankle joint prosthesis is more stable in motion. And the service life of the ankle joint prosthesis is prolonged, so that the durability of the ankle joint prosthesis is improved.

The invention discloses a rehabilitation training action difficulty grading analysis and scheme recommendation method and system. The method comprises the following steps: defining a geometric center of a key virtual joint point; calculating a human joint mass center and a moving limb mass center; joint kinematics parameter meters are calculated, wherein the joint kinematics parameter meters comprise angles, angular velocities and angular accelerations; based on the mass center of the moving limb, the body weight ratio and the kinematics parameters, calculating torque in combination with a mechanics principle; based on prime mover muscle analysis of a human body posture, combining a joint angle and an angular velocity direction, and performing work division according to functions of prime mover muscles in human anatomy; evaluating an action difficulty grade; and comparing the actual functional state of the patient with the training standard corresponding to the current difficulty weight. The recognition precision is remarkably improved.

The application discloses a kind of Chinese fifth percentile old male passenger injury bionical model with sign, also called biomechanical model, is the digital computing tool in the technical field of intelligent high-end detection equipment of automobile safety.This application is based on the fifth percentile male automobile passenger injury bionical model of thurstone, its each part is adjusted with age-related change to represent old male.The injury bionical model provided by the application meets the Chinese fifth percentile old male sign parameter;The model has detailed human anatomy structure characteristics.The Chinese fifth percentile old male passenger injury bionical model developed and constructed in the application not only provides a high-fidelity simulation tool for studying the injury mechanism of Chinese old passengers during the collision process, but also helps to deepen the understanding of the complex relationship between age change, body geometry and tissue mechanical properties and injury risk.

The invention relates to the production method of anthropomorphic head-neck phantom in heterogeneous structure and in a form suitable for human anatomy using 3D printer and molding technique.

This invention discloses a rare-earth magnetic graphene far-infrared spinal health pillow. Based on human anatomy and biomechanics, the pillow body is designed with seven independent functional zones. In the supine position, the neck support zone consists of, from top to bottom, a biomimetic curved support layer, a negative ion health function layer, a far-infrared emission source layer, a support filling layer, and a magnetic therapy composite array layer. Height-adjustable airbags are also provided within the zone. This invention uses graphene far-infrared light waves to physically excite the negative ion substrate to release negative ions, abandoning high-voltage ionization methods, resulting in no leakage, no radiation, and no harmful byproducts. The far-infrared rays are amplified through secondary excitation, achieving focused energy and deep therapy. The support layer features a soft upper layer and a hard lower layer, while the magnetic therapy layer uses rare-earth permanent magnets and soft magnetic topological arrangements to form a stable and uniform magnetic field. The product is suitable for various sleeping positions and body types, with a negative ion concentration of 1500-3000 ions / cm³ and a far-infrared emissivity of no less than 85%. It combines cervical spine alignment, calming and sleep aid, and microcirculation regulation functions. It is structurally stable, safe, durable, and offers outstanding health benefits.

This invention relates to the field of image feature recognition technology, specifically to a method and system for locating key surgical points in orthopedic surgery based on anatomical structure feature recognition. The method includes the following steps: constructing a prior skeletal topology map representing biomechanical connectivity based on human anatomical standards; utilizing a graph attention mechanism to perform semantic mapping and feature aggregation between the multi-scale anatomical feature map and the prior skeletal topology map to generate node-enhanced feature vectors; and performing spatial coordinate regression calculations based on these node-enhanced feature vectors to output the coordinates of the surgical key points. In this invention, by introducing prior anatomical topological knowledge as a global constraint for feature extraction, the information transmission mechanism of the graph structure effectively captures the geometric dependencies between key skeletal points. This solves the problem of local feature ambiguity caused by traditional methods in complex pathological scenarios such as fracture displacement, bone hyperplasia, or tissue occlusion, achieving high-precision and robust surgical key point localization.

The invention discloses a monocular picture 3D human body posture estimation method based on a space state module. The method comprises the following steps: firstly, extracting a 2D key point sequence from a monocular picture, splicing the 2D key point sequence with noise, inputting the spliced 2D key point sequence into a backbone network and a regression head, gradually denoising through repeated iteration, and outputting a 3D human body posture estimation result. The backbone network comprises a plurality of continuous space state modules, and each space state module comprises a joint pyramid pooling module and a bidirectional space-time scanning module; and the joint pyramid pooling module performs grouping average pooling on the input joint feature representation H according to a human anatomy structure to generate multi-scale feature mapping representing different semantic levels. The bidirectional space-time scanning module carries out reordering and bidirectional scanning on the feature sequence through a space state model, then modulates the feature sequence through a SiLU gating signal, and finally inputs the feature sequence to the next space state module. According to the method, higher attitude estimation precision and parameter efficiency are realized while the calculation complexity is remarkably reduced.

The invention relates to an improved guide splint (1) for dental procedures in fully or partially edentulous patients, having a lower face (1a) with an anatomical shape designed to rest on a jaw of the patient and comprising at least one through hole (2) configured to serve as a reference for a dental procedure. The splint (1) of the invention also comprises at least one recess (3) on the lower face of same configured for snap-fit engagement with at least one lug (T) protruding from the gum.

The invention discloses a humanoid robot expression control method and system based on anatomy and a facial topological structure, relates to the technical field of bionic robots and voice interaction, and aims to solve the problems that the mouth shape and pronunciation of an existing robot are not matched, the expression is rigid, and no natural micro-expression exists in a non-pronunciation state. A facial topological structure model matched with a robot is constructed based on human anatomy, a lip-tooth-tongue time sequence synchronous linkage control instruction is generated in combination with a language pronunciation rule, facial expressions, micro expressions and eye movement data matched with pronunciation are synchronously generated, meanwhile, an independent expression control instruction can be generated in a non-pronunciation state, and the control precision is improved. And finally, full-scene full-face natural expression control of the robot is realized. The humanoid reality and man-machine interaction naturalness of the humanoid robot are greatly improved, and the method can be widely applied to various bionic service robots and virtual digital humans.

The invention relates to a training method for generating an AI system (1) for estimating the position of an anatomical landmark (L) by means of text input, wherein the training method comprises the following steps: - Providing a context set (L) that includes a list of names of anatomical landmarks (L), - Providing a position list (P) that includes position tokens (P) which are expressions with respect to relative positioning, - Generating multiple question inputs (Q) that ask for the relative position of a landmark (L), using varying combinations of the landmarks (L) and position tokens (P) of the context set (L) and position list (P), - Generating a number of target landmarks (T) for each question input (Q) by inputting the question inputs (Q) into a Large Language model (12) with a basic understanding of human anatomy, parsing the response (A) for landmarks (L) and defining the found landmarks (L) as target landmarks (T), - Forming multiple training datasets (X), where each training dataset (X) includes the landmark (T), the position token (P) from a question input (Q), and the target landmark (T) from the answer (A) to that question input (Q), - Training the AI ​​system (1) with the training data set (X) and additional spatial coordinates (C) of a subset of the landmarks (L) of the context set (L). Furthermore, the invention describes an AI system and a training device.

The invention discloses a movable type human body dissecting and storing dual-purpose dissecting table which comprises a storage assembly. The storage assembly comprises a storage box, the inner side wall of the storage box is fixedly connected with a shell, and the inner side wall of the shell is rotationally connected with a threaded rod through a rotating shaft; through the arrangement of the plate bodies, the two plate bodies are hinged to the bottom of the top cover through the independent hinges, single-side opening is supported, an operator can select to only open the lighting plate on the corresponding side and keep the other side closed according to the anatomical direction, the plate body on the opening side forms a physical barrier, hard light in a non-operation area is effectively prevented from directly irradiating eyes of the operator, glare interference is avoided, and the safety of the operator is improved. The lamp tubes embedded in the plate body project light at a 45-degree inclination angle, the light is focused on a corpse operation area, the side lamp tubes are turned on to form a crossed light source with the first illuminating lamp set and the second illuminating lamp set in the center of the top cover, illumination dead angles are compensated from different angles, and therefore shadows generated by instruments or hands of an operator are eliminated.

The invention relates to a portrait missing image completion method and system based on hybrid editing, and the method comprises the steps: expanding a canvas space of an input image, and reserving a blank completion region of a missing part in an expansion region; a limb contour and a face positioning line are drawn on the expanded canvas, and an intermediate image is generated; performing background filling according to color distribution characteristics of adjacent pixels in the missing area; inputting the image containing the structure reference and the background filling into the generative image completion model, and generating a preliminary completion image in combination with a cue word reversely deduced from the original image; and adjusting the human body posture of the complemented score in the preliminary complemented image and optimizing the marginal area until the complemented score and the original image are coordinated and consistent in posture and background, and outputting a final complemented image so as to achieve the purpose of efficiently completing high-quality complementation of the missing part of the portrait while keeping the accuracy of human anatomy.

The present application proposes a chest and abdominal respiration signal decoupling and reconstruction method based on millimeter wave radar. Using a millimeter wave multiple-input multiple-output radar device, the radar echo is first mapped to a three-dimensional space using 3D beamforming technology, mapping the one-dimensional time domain signal to a spatial energy heat map containing distance, azimuth, and elevation three-dimensional information. Then, through spatial filtering strategy, the physiological vibration source signal clusters of the subjects with coupling relationship are separated. When the physiological vibration source includes the chest reflection area of the first anatomical site and the abdominal reflection area of the second anatomical site, combined with the adaptive best point selection algorithm, according to the anatomical features of the human body, the chest reflection area and the abdominal reflection area are physically located and distinguished in the three-dimensional space, and the independent breathing waveform is extracted from the body surface reflection to perform high-precision spatial separation and anti-interference waveform extraction operation of chest and abdominal respiration movement. The present application can realize high-precision spatial separation and anti-interference waveform extraction of chest and abdominal respiration movement.

The invention belongs to the field of portable electrocardiogram detection devices, and particularly relates to a high-precision portable electrocardiogram detection device. In order to optimize the use experience of a user, the high-precision portable electrocardiogram detection device comprises a shell and an electrode installed on the shell, the shell is sequentially divided into a first section, a second section and a third section from left to right, the upper surface of the first section is lower than the upper surface of the second section, the upper surface of the second section is lower than the upper surface of the third section, and the electrode is arranged on the shell. A transition face in smooth transition with the upper surfaces is arranged between the upper surfaces of every two adjacent sections, the upper surface of the first section, the transition face and the upper surface of the second section jointly form an experience improving portion used for avoiding or bearing the mammary gland of a user, the V2 electrode is installed on the upper left corner of the third section, and the V3 electrode is installed on the upper portion of the second section. Human anatomy and an electrocardiogram detection device are combined, the experience improvement part is used for optimizing the use experience of a user, the size of the electrocardiogram detection device is reduced, and the measurement precision is improved.

The invention discloses a calculus removing robot based on visual localization, and relates to the technical field of medical equipment, the calculus removing robot comprises a mechanical arm, a calculus removing bed and a vibrator arranged on the moving end of the mechanical arm, and further comprises control equipment, ultrasonic equipment and image acquisition equipment, the image acquisition equipment is used for acquiring two-dimensional or three-dimensional image information and anatomical geometric feature data of a target object in real time; the ultrasonic equipment is used for scanning a urinary system area of a patient, collecting ultrasonic image data of a calculus focus and identifying morphological parameters and spatial position information of the calculus; according to the urinary calculus removing robot based on visual positioning, automation and intelligentization of the whole urinary calculus removing process are achieved through multi-technology fusion, the problem that traditional equipment is tedious in operation is solved, the clinical curative effect is improved through accuracy and adaptability, and a feasible path is provided for automatic upgrading of urinary calculus treatment.

Devices are provided having human anatomical dimensions, regardless of materials made, that can deliver iEF therapy for treatment of cancer. For instance, aspects can be implemented as a wearable device for treating solid tumors. The device includes a coil of electrically conductive material supported by the wearable garment. Further, the wearable device includes a controller electrically coupled to the coil to produce an induced field for therapy.

The invention relates to the technical field of human body models, and discloses a human body anatomical model which comprises a skeleton model, the skeleton model is externally covered with a three-layer structure, the three-layer structure comprises a first component, a second component and a third component from outside to inside, the first component sequentially displays anterior abdominal wall skin, superficial fascia and deep fascia from outside to inside, and the second component sequentially displays anterior abdominal wall skin, superficial fascia and deep fascia from outside to inside. The first component displays abdominal muscle, the second component displays abdominal muscle, the third component displays abdominal transverse fascia, the left layered structure is fixed, the right layered structure can be separated and movable, through gaps are formed in the second component and the third component, a groin pipeline is arranged in the gaps in a penetrating mode, and an LED lamp strip is arranged in the groin pipeline. According to the human anatomy model, through the model, structures of all layers can be freely displayed in a layered mode, walking of cavity gaps and contents can be displayed in a three-dimensional mode, and the position, two mouths, four walls and the contents of a groin canal can be clearly displayed through the LED lamp strips.

The utility model relates to the technical field of specimen models, in particular to a human anatomy specimen model which comprises a fault specimen and a display stand assembly, the lower end of the fault specimen is installed on the inner side of the display stand assembly, the inner side of the lower end of the fault specimen is fixedly connected with a first permanent magnet, and the inner side of the display stand assembly is fixedly connected with a monitoring assembly. A magnetic attraction auxiliary assembly is installed on the inner side of the monitoring assembly, the monitoring assembly comprises a plastic electric connection shell, a movable groove is formed in the inner side of the plastic electric connection shell, a first electric connector is fixedly connected to the inner side, close to the upper end of the movable groove, of the plastic electric connection shell, and a first connecting wire and a second connecting wire are fixedly connected to the inner side of the plastic electric connection shell; the first connecting line, the second connecting line and the controller are electrically connected, the controller is electrically connected with the indicator light, the device can accurately monitor and remind the placement position of a fault specimen, and the problem that the subsequent learning effect, management and maintenance are affected due to the fact that the specimen is placed in a wrong position is effectively solved.

This invention provides a method for human behavior recognition based on the fusion of multimodal data collected by UAVs, comprising the following steps: concatenating joint tokens with spatial CLS tokens extracted using a spatial Transformer in the same frame to obtain a feature fusion module; structurally encoding the joint sequence based on human anatomical structure to construct a human topology association module; constructing a temporal cross-Transformer module; stacking the spatial Transformer, feature fusion module, human topology association module, and temporal cross-Transformer module to obtain a backbone feature extraction network; employing a 10-layer backbone feature extraction network to perform deep feature extraction on the input pre-fusion data and feature fusion data, and using a classification head for classification; mapping the features output by the backbone network to a dimension equal to the number of behavior categories, and outputting a prediction score for each category; and obtaining the human behavior recognition result based on the prediction score. This method can effectively recognize human behavior in multimodal data collected by UAVs.

The application discloses a kind of automobile digitization evaluation models with Chinese sign 95th percentile male sign, the model is simulated by a variety of finite element grid unit to human tissue, give different material properties, with detailed human anatomy structure features are optimized, splice different tissue structure, obtain the model.The application also discloses the construction method of the above-mentioned model, comprising: by collecting the CT data of Chinese 95th percentile male sign to construct human geometry model, form hexahedron unit structure by finite element grid division, correct the physiological curvature of spine and construct intervertebral disc, annulus fibrosus etc., after being connected to form standing posture model by tendon, adjust posture according to passenger sitting posture angle and optimize muscle grid, finally integrate each tissue structure to form passenger posture automobile digitization evaluation model with Chinese 95th percentile male sign.The application has wide application value.

An improved exercise club may include a body made of frustoconical shaped lower and intermediate portions, and a handle attached to a smaller end of the intermediate portion. The club is ergonomically designed taking into account specific human anatomy and shape (e.g., the back, trapezius, shoulders, etc.) to allow a user to leverage these parts of body as a tool to be used in conjunction with the club's proportions and may facilitate a range of exercises with comfort and safety for the user. The shape of the club may be defined by different ratios, which ensures that the club can be safely rolled over the shoulder and behind the head, and thrown in specific patterns, while also allowing the user to maintain balance of the club on his body.

The utility model provides a kind of three-dimensional human body model of spinal nerve innervation body surface area, specifically related to human anatomy and neurology research technical field.Aiming at two-dimensional display mode and light interference and other problems, the utility model provides a kind of three-dimensional human body model of spinal nerve innervation body surface area, including three-dimensional human body model ontology, three-dimensional human body model ontology is divided into multiple spinal nerve innervation areas, adjacent spinal nerve innervation area is separated by light-tight partition, and each spinal nerve innervation area is provided with luminous body at its sensory key point.The device enables learners to more intuitively understand and remember the distribution and function of spinal nerves.

The invention discloses a nasointestinal tube positioning examination method and system based on an abdominal X-ray plain film and a medium, and relates to the technical field of medical image processing.The method comprises the steps that an abdominal X-ray plain film image nasointestinal tube positioning model is established, and an image of an abdominal X-ray plain film of a target patient is obtained through an HIS system; an AI intelligent examination engine is developed to recognize, analyze and interpret images and clinical information of X-ray plain films of the abdomen of a target patient, a virtual human anatomical model is generated based on a CT scanning template, a result is output, and when it is detected that the catheter position is abnormal, a real-time early warning mechanism immediately triggers a grading response process, and an HIS system pops up a positioning result prompt. According to the method, an image and text double-path fusion model is constructed, nasointestinal tube positioning is remarkably optimized, RoBERTa-wwm-ext is combined with BiLSTM-CRF, position and morphological features are extracted from a report, implicit inference and cross-modal attention dynamic weighted image-text features are supported, the comprehensive confidence is composed of image matching, text semantics and abnormal modes, and the misjudgment risk is reduced through multi-source complementation.

A catheter system includes a catheter, a fiber optic sensor assembly, and a processing unit. The catheter may be configured for placement within a digestive tract of a patient. The fiber optic sensor assembly may be configured to sense two or more characteristics along at least a subsection of the catheter. The two or more characteristics may be selected from the group consisting of: a shape of the catheter, pressure, strain, vibration, and temperature. The fiber optic sensor assembly senses the two or more characteristics and transmits signals related to the two or more characteristics to the processing unit. The processing unit is configured to detect a location of the catheter in a patient's body relative to human anatomy, physiological conditions in a vicinity of the catheter, and / or physiological parameters of the patient's body based on the signals received from the fiber optic assembly.

The present application belongs to the field of portable electrocardiogram detection device, in particular to a high-precision portable electrocardiogram detection device. In order to optimize the use experience of the user, the present application provides a high-precision portable electrocardiogram detection device, which comprises a shell and an electrode mounted on the shell, the shell is sequentially divided into a first section, a second section and a third section from left to right, the upper surface of the first section is lower than the upper surface of the second section, the upper surface of the second section is lower than the upper surface of the third section, the upper surfaces of the adjacent two sections are provided with a transition surface which is smoothly transitioned with the upper surface, the upper surface of the first section, the transition surface and the upper surface of the second section jointly constitute an experience improvement part for avoiding or supporting the breast of the user, a V2 electrode is mounted at the upper left corner of the third section, and a V3 electrode is mounted at the upper part of the second section. The human anatomy is combined with the electrocardiogram detection device, the experience improvement part is used to optimize the use experience of the user, reduce the volume of the electrocardiogram detection device and improve the measurement accuracy.

The invention relates to the technical field of image feature recognition, in particular to an orthopedic surgery key point positioning method and system based on anatomical structure feature recognition, and the method comprises the following steps: constructing a prior skeleton topological graph representing a biomechanical connection relation based on a human anatomy standard, and executing semantic mapping and feature aggregation between the multi-scale anatomical feature graph and the prior skeleton topological graph by using a graph attention mechanism to generate a node enhanced feature vector, performing space coordinate regression calculation based on the node enhanced feature vector, and outputting a surgical key point coordinate. According to the method, anatomical topology priori knowledge is introduced as a global constraint condition of feature extraction, and a geometric dependency relationship between skeleton key points is effectively captured by using an information transmission mechanism of a graph structure; the problem of positioning deviation caused by fuzzy local features when a traditional method faces complex pathological scenes such as fracture displacement, hyperosteogeny or tissue shielding is solved, and high-precision and high-robustness operation key point positioning is achieved.

The invention discloses a multi-sensor coupled finger posture real-time estimation method and system, and relates to the technical field of wearable sensing and rehabilitation engineering. A heterogeneous sensing layout is constructed according to the density difference of finger joint information, fabric capacitors arranged along the back side are used for representing the total stretching of the whole finger, local bending is anchored through film resistors at PIP joints, and multi-dimensional monitoring of bending and stretching and abduction / adduction of MCP joints is achieved in combination with inertial measurement unit sets of metacarpal bones and proximal phalanges; in the algorithm level, strong physiological coupling constraints (specific linkage coefficients are set according to finger differences) of DIP and PIP are introduced to eliminate redundant variables, data are aligned through a multi-channel queue and a unified time axis, a baseline, a mapping relation and a dissection coupling coefficient are updated online only in a detected static stable platform window, physical shaping and failure degradation are applied during operation, and the dynamic performance of the static stable platform is improved. Continuous angle estimation which is low in time delay and high in robustness and conforms to anatomy is achieved on the edge processor.