143 results about "Biomechanics" patented technology

This invention discloses a composite microsphere loaded with ZIF-8 nanoparticles and stem cell extracellular vesicles, its preparation method, and its applications. The composite microsphere comprises a hydrogel matrix microsphere, and ZIF-8 nanoparticles and small extracellular vesicles derived from bone marrow mesenchymal stem cells uniformly dispersed and encapsulated within the hydrogel matrix microsphere. This invention integrates ZIF-8 nanoparticles and stem cell-derived sEVs into injectable, photocurable GelMA microspheres, constructing an integrated delivery platform capable of sequential release and multi-stage synergistic effects. This platform successfully integrates and leverages three major functions: immunomodulation, stem cell recruitment, and cartilage-induced differentiation, ultimately achieving high-quality functional healing of the tendon-bone interface at both histological and biomechanical levels, providing a highly promising new strategy for the regeneration and repair of interfacial tissues in the musculoskeletal system.

This invention discloses a numerical characterization method for gas explosion damage based on in vivo biological damage correction, belonging to the interdisciplinary field of explosion mechanics and biomedicine. The method first acquires multi-dimensional damage data of organisms in gas explosion experiments, constructs a fluid-structure interaction numerical model of the gas explosion flow field in the tunnel and a biomimetic finite element model of the organism, solves the model using an improved arbitrary Lagrange-Euler algorithm, and extracts dynamic biomechanical response parameters. A quantitative correlation between mechanical response and damage level is established through a multi-objective collaborative correction model and an ordered Probit correction model. After iterative optimization, a high-confidence gas explosion-induced biological damage prediction model is output. This invention forms a complete closed loop of simulation-experiment-correction, which can accurately characterize gas explosion biological damage, providing technical support for research on explosion injury mechanisms, assessment of protective effectiveness, and clinical diagnosis and treatment.

The application discloses a joint cartilage stress dynamic monitoring system based on flexible sensing and AI and belongs to the technical field of medical health monitoring.The application solves the problem that the prior art can only measure single-point pressure or strain and cannot obtain full-field three-dimensional stress distribution of a cartilage contact surface, and the system function stops at monitoring and does not form a monitoring-to-warning closed loop, quantifies uncertainty through a Bayesian neural network, provides a reliable basis for clinical decision-making, combines multidimensional biomechanical characteristics and an attention mechanism, accurately focuses on a stress key area, significantly improves the precision and individualization level of joint cartilage health evaluation, helps early detection and prevention of injury, classifies stress abnormalities, implements accurate early warning, and formulates an individualized treatment scheme according to uncertainty results and cartilage health indexes, and customizes a rehabilitation training plan according to user conditions, and improves the scientific nature of joint injury prevention and rehabilitation.

Particulated and reconstituted tissues comprising small, densely packed tissue microparticles encapsulated in a tissue specific promoting gel packed at a percolation threshold that can be transplanted into damaged tissue thereby facilitating regeneration following trauma to the tissue. The engineered microparticle construct for tissue replacement and repair, as taught herein, provides numerous benefits including (1) encouraging a regenerative response in damaged tissue regions, (2) mimicking the structural support of native tissue, (3) establishing an environment that promotes attachment, migration, and differentiation of infiltrating stem cells, and (4) providing a source of growth factors and other anti-catabolic growth factors and cytokines. Tissue specific microparticles packed together at, or past, their percolation threshold will provide the necessary mechanical environment and to best recapitulate and integrate with native tissue. The packing of microparticles, derived from the ECM of native tissue to a concentration past the percolation point will yield both the necessary biochemical and biomechanical properties necessary for reconstituting a specific tissue.

This application relates to the field of smart medical technology and discloses a method and system for monitoring medication adherence in patients during ovulation induction cycles. This invention significantly improves the accuracy and reliability of ovulation induction medication adherence assessment in complex home environments by deeply integrating the real physical boundaries of the human body, the mechanical rigidity constraints of instruments, and the fluid dynamics laws of porous media into a visual monitoring framework. Specifically, this application utilizes dynamic pixel physical mapping and biomechanical filtering technology to effectively eliminate the interference of lens distortion and physiological tremors, reconstructing a pure kinematic sequence. By using a finite state machine with dual boundaries of force application and limit, it accurately identifies and coherently processes the mid-process pauses caused by patients' fear of pain, completely solving the defect of traditional algorithms that are prone to logical breaks.

This invention provides an acoustically transparent skull based on the transfer matrix method. The skull includes a matching layer, a coupling layer, and a biomimetic skull. The biomimetic skull matrix has acoustic windows and a stepped groove design for easy and quick assembly, disassembly, and repositioning. The matching layer module is made of epoxy resin-nano-alumina composite material, and its thickness is designed according to a quarter wavelength of the target frequency band. This effectively optimizes acoustic impedance matching and reduces energy loss, becoming a key breakthrough in improving the transmission efficiency of transcranial ultrasound and expanding its application in non-invasive medical fields. This invention focuses on the field of biomechanics and medicine, addressing the problem of low transmission efficiency in transcranial ultrasound technology caused by differences in acoustic impedance of the skull. It can be used to compare the sound transmission effects of single or multiple matching layers at different frequencies. In the future, ultrasound can be more widely used for diagnosis, treatment, neuromodulation, and health / mental status monitoring of astronauts.

The application discloses a video human behavior prediction method based on residual diffusion theory and skeleton points, comprising the following steps: S10, acquiring an original group motion sequence, decomposing the multi-person sequence into individual trajectories, and then converting the time-domain motion sequence of each individual into frequency coefficients through discrete cosine transform (DCT); S20, based on the frequency domain representation, introducing a residual term to construct a forward diffusion process; S30, defining a weighted residual noise as a learning target, and realizing conversion from noise to residual noise; S40, determining an optimal step through transformation, realizing acceleration and unified training and reasoning; S50, applying physical constraints to single-person prediction, introducing a weighted combined biomechanical regularization loss function to constrain the physical feasibility of the generated sequence; and S60, synthesizing a group sequence and outputting a predicted sequence. The application utilizes deep learning technology, extracts human skeleton point information, combines a residual diffusion mechanism, predicts human behavior in a video sequence or a real-time scene, and realizes high-precision prediction of future behavior.

FIELD: cardiology.SUBSTANCE: used as a component of the first stage of cardiac rehabilitation in patients with chronic heart failure (CHF), as well as an auxiliary component at all stages of cardiac rehabilitation. Warm-up exercises are performed – stretching exercises and movements in the joints of the upper body, followed by a basic set of breathing exercises lasting from 15 to 30 minutes, at least once a day, at least 5 days a week, for at least 8 weeks. At the first stage, the main set of exercises includes four exercises performed in sequence: abdominal breathing, chest breathing, breathing involving the shoulder muscles, breathing slowing. The first three exercises are performed for 5–10 breathing cycles with an interval between exercises of at least 1 minute, the fourth exercise contains 5–15 cycles, where each cycle includes an inhalation through the first nostril, followed by an exhalation and inhalation through the second nostril, then an exhalation through the first nostril . In the second and subsequent stages, the main set of exercises includes two exercises performed sequentially: an exercise for full breathing and an exercise for slowing down breathing. The full breathing exercise involves sequentially performing abdominal breathing, chest breathing, and breathing with the involvement of the shoulder muscles throughout one inhalation. The exhalation is performed in reverse order. The number of cycles of the full breathing exercise at the second stage is 15–20. The duration of each stage is at least 2 weeks, where at each subsequent stage, starting from the second one, the duration of the exercises performed in the main complex is increased by increasing the number of exercise cycles. Also the duration of inhalation and exhalation is increased when performing exercises to slow down breathing. The method improves the biomechanics of breathing: increases the depth of breathing, reduces the frequency of respiratory movements, increases the efficiency of breathing and reduces the activity of the inspiratory metaboreflex.EFFECT: exercise tolerance in patients with CHF improves.3 cl, 6 dwg, 3 ex

The application discloses a biological implant robot machining posture planning and error compensation method based on a global stiffness model, belongs to the technical field of biological manufacturing and surgical robot auxiliary machining, and comprises the following steps: a biomechanical stiffness atlas covering the whole posture space of the implant is constructed by sparse modal sampling combined with an inverse distance weighting algorithm. The application effectively solves the problem that the cell responses are inconsistent due to the machining quality differences of different regions of the complex curved surface implant through the global surface biological activity consistency, and significantly improves the long-term success rate of implant surgery. The application is easy to deploy on the existing medical robot through hardware pollution. Through micron-level functional molding, the micron-level biological texture depth is accurately controlled, and the manufacturing level of the personalized implant is improved from simple geometric shape customization to a new height of surface biological function customization.

The application discloses a kind of real-time assessment system of pressure sore risk based on finite element analysis and deep learning, it is related to medical monitoring and biomechanics simulation field;Solve the problem that existing assessment lacks real-time monitoring of deep tissue stress, dynamic early warning is insufficient.The application acquires body surface pressure, temperature and continuous pressure duration in real time by flexible pressure sensing blanket;Offline finite element simulation constructs parameterized human-mattress model, generates the paired data set of body surface pressure and deep tissue equivalent stress;Physical information deep learning model is based on pre-training real-time inference deep tissue equivalent stress distribution;Risk evolution calculation combines temperature and continuous pressure duration, and according to damage evolution law, calculates cumulative damage risk index and residual safety time;Visual early warning generates risk thermodynamic diagram and triggers hierarchical early warning and intervention instruction push.The application realizes real-time, accurate, individualized assessment and early warning of pressure sore risk.

The present application belongs to the technical field of medical instrument monitoring and biomechanical signal processing, and particularly relates to a scoliosis orthosis monitoring method and device and a scoliosis orthosis brace. The method comprises: obtaining an acceleration signal generated by the orthosis brace with the subject moving, and an original pressure signal at an interface sensing point corresponding to a scoliosis part; determining an interface delay parameter caused by soft tissue viscoelasticity; generating a reconstructed pressure signal aligned with the phase of a motion feature point; mapping the acceleration signal to the force normal direction of the interface sensing point to obtain a normal motion acceleration representing the real-time motion state of the sensor; combining a local inertia response feature of the interface sensing point, which is pre-stored and represents the inertia mass distribution of the sensor component, to calculate a real-time inertia force component generated by the pressure sensing end from the normal motion acceleration; and vector stripping the real-time inertia force component from the reconstructed pressure signal to output a dynamic effective correction force signal reflecting the real force state of the scoliosis part.

This invention relates to the interdisciplinary field of image recognition and intelligent medical technology, specifically disclosing a method for orthopedic rehabilitation movement recognition and assessment based on image recognition. This method acquires patient motion images using a non-invasive multi-view visual sensor, extracts the three-dimensional coordinates of key skeletal points, and constructs a parametric biomechanical digital twin model integrating joint range of motion, muscle force lines, and ligament tension mechanisms. The key point data is input into a graph neural network for posture recognition, and the digital twin model is simultaneously invoked for physical feasibility verification and posture correction. Finally, the spatiotemporal trajectory similarity is calculated using a standard rehabilitation movement template, generating a comprehensive assessment result including movement completion, safety level, and injury risk. This invention, through the above technical solution, improves the robustness, physiological rationality, and clinical safety of movement recognition.

An implant type or a process of implant fixation is automatically identified by processing surgical plan information. Further, bone mineral density information associated with a patient is determined by processing at least one image. The determined bone mineral density information and patient information representing at least demographics associated with the patient are processed, and a selection of a plurality of patients that previously underwent arthroplasty is made. Outcome information representing results of arthroplasty procedures is processed and a threshold is established representing a biomechanical tolerance. The bone mineral density information is processed to be determined associated with the patient is determined to be above or below the threshold.

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.

The application discloses a kind of based on medical image human body bearing joint structure automation intelligent simulation system and method, belong to medical image processing and biomechanics simulation technical field, including: AI image segmentation and semantic recognition module, three-dimensional reconstruction and topological repair module, parameterized structure processing simulation module, adaptive material attribute assignment module, automatic load and boundary condition generation module and finite element simulation and mechanics evaluation module.Parameterized structure processing simulation module can be based on semantic label according to pre-set rule to generate the contrast model of multiple different processing schemes;Adaptive material attribute assignment module automatically assigns material parameters according to MRI image features through material mapping rules.The application can realize the full-process automation from medical image input to mechanics evaluation output, achieve the technical effects of improving simulation consistency, realizing multi-scheme quantitative comparison and individualized modeling.

The present invention relates to an orthodontic appliance and system for aligning the patient's teeth. It consists of a specially designed bracket with rounded edges and several guides or perforations around the wing, to which a special fastening system is applied. This method allows for treatment under a straight-wire orthodontic system with light forces and minimal friction between the archwires and the bracket. It promotes the physiological movement of the teeth on the alveolar bone and supporting tissues, maintaining a perfect balance between muscular forces and producing a more stable position in the alveolar bone.

This invention discloses a method for fabricating a photonic crystal hydrogel film sensor with a self-reporting elastic modulus function and its application. The method involves fabricating a hydrogel film with a periodic photonic crystal structure and constructing a bio-interface on its surface that can dynamically regulate cell adhesion, detachment, spreading, migration, proliferation, and differentiation. An optical imaging system is used to acquire images of the structural color changes of the photonic crystal hydrogel film. Image processing extracts color parameters, which are then converted into changes in reflected wavelength and the film deformation field. The elastic modulus of the film is calculated by inverting the deformation field generated by microspheres of known mass placed on the film surface, combined with an elasticity model. By combining the cell-interface interaction deformation field, the cell-interface interaction force and its spatial distribution can be obtained. A photonic crystal hydrogel film sensor with a self-reporting hardness function is constructed. This method achieves integrated biomechanical research combining dynamic regulation and real-time monitoring, offering advantages such as non-destructive operation, real-time imaging, and acquisition of mechanical spatial distribution.

The present invention relates to a set of tooth-and-jaw position adaptation apparatuses for the step-by-step, precise and controlled correction of tooth and / or jaw misalignments. For this purpose, each adaptation apparatus comprises an upper component for the upper jaw and a lower component for the lower jaw, which are non-detachably connected to one another. The apparatus has individual chambers for fixing selected teeth or groups of teeth and specifically arranged free spaces in the form of mechanical recesses, which allow a biomechanically assisted movement of the teeth from a misalignment into the correct position. The forces exerted on the teeth can be adjusted in all three spatial dimensions in terms of strength, direction and duration of action, thus ensuring controlled and precise control of the tooth movements. Each movement is possible in a targeted manner and at the same time without loss of anchoring, including occlusion adjustment, i.e. bite adjustment, at the same time, i.e. without so-called side effects..

This invention provides a wearable acoustic diagnostic system for the knee joint and its signal processing method, addressing the problems of significant environmental noise interference and insufficient accuracy in biomechanical event detection in existing technologies. The system includes: a main sensing unit worn on the knee joint; an environmental reference sensing unit of the same model positioned at a reference site; and a data processing platform communicating with both. The platform is configured to: during the resting period, establish an adaptive filtering model based on the signals from the main and reference units to predict environmental noise; during the monitoring period, use this model to cancel noise in the main signal in real time, obtaining purified joint biophysical signals; simultaneously analyze multimodal signals such as electromyography, strain, and simulated load, defining the key subphase as the intersection moment of at least two preset feature points, and capturing a phase-aligned snapshot of the event signal centered on this precise moment; this invention achieves highly interference-resistant and highly accurate dynamic quantitative assessment of knee joint function.

The application discloses a traditional Chinese medicine micro-invasive regulating needle therapy method and belongs to the technical field of traditional Chinese medicine micro-invasive treatment, and solves the technical problems that traditional therapy for treating soft tissue pain only focuses on the local part and is difficult to solve the adhesion of deep and shallow fascia layers and has a high recurrence rate. The method takes a needle-knife as a main treatment tool, integrates a needle-knife medical theory, a fascia chain theory, a traditional Chinese medicine meridian theory and a biomechanics principle, adheres to a local relaxation + overall regulation core idea, accurately positions a treatment target through three points and one side, intervenes in inflammation-adhesion-spasm three pathological changes, follows a chain point finding and pain treatment by relaxation rule, and finally realizes a treatment goal of human body muscle and bone neutralization. The application is suitable for neck, lumbar vertebra disease, joint pain and related soft tissue lesions of head, face, spine and six big joints and has the advantages of micro-invasiveness, precision, treatment of both symptoms and root causes and low recurrence rate, and effectively restores the symmetry stability and functional coordination of the mechanical structure of the human body.

This invention provides a motion environment perception method based on biomechanical features and gait adaptation, belonging to the field of human-computer interaction perception. The method includes: acquiring the subject's original motion feature sequence and biomechanical feature vector; scaling and aligning the physical dimensions using a biomechanical scaling matrix to obtain a motion feature tensor; inputting the motion feature tensor and biomechanical feature vector into a multi-task temporal convolutional network for feature-level linear modulation to obtain modulated deep features; processing these features through a backbone network, with the classification branch outputting terrain categories and the regression branch outputting initial values ​​of environmental geometric parameters; freezing the backbone network parameters; fine-tuning the regression branch based on an adaptive loss function driven by gait phase and foot arch features to obtain a motion environment perception model; inputting real-time data from the subject; and outputting terrain categories and environmental geometric parameters. This invention solves the technical problem of low accuracy in environmental geometric parameter estimation caused by biomechanical differences between individual subjects in existing technologies.

The application relates to the technical field of fall detection, and particularly discloses a millimeter wave radar fall detection method fusing HRV nonlinear features and 3D point clouds, which comprises the following steps: acquiring a heartbeat interval IBI sequence and a 3D point cloud of a to-be-detected target in parallel according to a millimeter wave radar signal; extracting HRV nonlinear physiological features based on the IBI sequence and extracting biomechanical features based on the 3D point cloud; aligning the HRV nonlinear physiological features and the biomechanical features to a unified time axis and performing feature coupling calculation to obtain four types of coupling indexes; the four types of coupling indexes are as follows: a heart-gait phase coupling, a motion-induced heart rate response, a heart-triggered motion variability and a joint entropy; and performing fall detection on the to-be-detected target based on a three-level progressive detection mechanism. The application can effectively capture abnormal physiological signals before falling by establishing the internal correlation between physiological and motion signals, and effectively solves the early warning lag problem caused by only relying on motion features in a traditional scheme.

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 application relates to the technical field of ultrasonic diagnosis, and provides a hyoid-larynx complex mobility evaluation method based on wearable ultrasound, which comprises the following steps: S1: collecting neck superficial tissue ultrasonic signals, continuously acquiring an ultrasonic image sequence containing hyoid and C2-C4 cervical vertebra anatomical structure images; S2: adopting a two-stage intelligent recognition and tracking strategy of initialization calibration+real-time tracking, automatically recognizing and continuously marking the position information of a point; S3: taking the line connecting the C2 cervical vertebra lower front edge point and the C4 cervical vertebra lower front edge point as a reference to establish a relative coordinate system; S4: based on the relative coordinate system, extracting real-time coordinates of a hyoid upper edge point in the whole process of a swallowing event, and calculating the position change amount of the marking point relative to the coordinate system; and S5: outputting the position change amount of the hyoid upper edge point as a core quantitative index of the hyoid movement amplitude. Relying on the scene advantages of ultrasonic noninvasive quantification and wearable devices, real-time, continuous and objective detection of hyoid displacement and related biomechanical parameters is realized.

This invention relates to a gastric drug delivery system based on biomechanically responsive intelligent deformation and anchoring, and its preparation method. The system includes a main body, multiple microneedle structures, a drug-loading unit, and a controlled-release unit. The main body is made of a thermoresponsive shape memory polymer and includes a head and multiple tentacles. The head is spherical with an opening, and the tentacles are distributed around the opening. Multiple microneedle structures are disposed on the tentacles. The drug-loading unit contains a metal-organic framework carrier and a drug, with the drug loaded on the metal-organic framework carrier. The drug-loading unit is distributed in the main body and / or multiple microneedle structures. When a triggering factor occurs, the drug-loading unit releases the drug. The controlled-release unit is used to control the release rate of the drug in the drug-loading unit. The main body structure of this invention utilizes the shape-restoring force generated by thermo-induced mechanical deformation to achieve stable buoyancy and fluid obstruction in gastric juice. The microneedle structures anchor to the gastric wall, effectively counteracting mechanical displacement caused by gastric peristalsis, enabling precise on-demand drug delivery.

This invention discloses a bird-inspired wing-shaped deformable aircraft that can move across media. Using birds such as pelicans, which possess transmedia capabilities, as biomimetic prototypes, and based on research into their water-entry and exiting behaviors and morphological characteristics, an innovative structural design scheme for a biomimetic deformable wing aircraft is proposed. Based on the biomechanical mechanisms of multi-joint linkage in bird skeletons and the hydrophobic properties of feathers, the aircraft employs a deformable wing and tail design; combined with lightweight materials and a multi-degree-of-freedom actuation strategy, it achieves efficient coordination between dynamic morphological switching and transmedia motion.

The application relates to the technical field of surgical assistance, and discloses a foot deformity correction surgery planning and implementation method, which comprises the following steps: fusing multi-modal medical images and dynamic function data to construct a high-fidelity foot digital twin model; intelligently quantitatively evaluating and mechanismally analyzing deformities by using a deep learning network combined with a knowledge graph; automatically optimizing in a virtual space by using a multi-agent reinforcement learning algorithm to generate a personalized surgery plan verified by biomechanical simulation; converting the optimized scheme into augmented reality navigation information and robot control instructions to guide a surgical robot to perform adaptive and accurate osteotomy and reduction operations; dynamically evaluating execution deviations and guiding correction by using real-time three-dimensional scanning and registration technology during the operation, and intelligently matching and implanting internal fixators; immediately performing function verification after the operation, and generating a personalized digital rehabilitation scheme and long-term curative effect prediction for the patient based on the operation result. The application constructs an intelligent surgery ecological system throughout the whole process of "diagnosis, planning, implementation, evaluation and management", and significantly improves the accuracy, safety, predictability and scientific level of curative effect management of foot deformity correction surgery.

An exercise machine that integrates pectoral fly and hip abduction exercises, enhancing overall biomechanics and functional movement by engaging multiple muscle groups simultaneously. The exercise machine includes a base platform with a seat and adjustable backrest for user support. The exercise machine includes handles that move between retracted and extended positions, enabling pectoral fly exercises when a pulling load is applied thereto. The machine also has a weight stack for adjusting handle resistance, and a range controller to limit handle motion for safety. A pair of abductor pads are provided to support knee movement for hip abduction exercises, with adjustable resistance via a second weight stack. The exercise machine enables users to perform integrated workouts, combining pectoral fly and hip abduction exercises, to improve muscle coordination and strength while reducing strain and enhancing safety.

The application relates to the technical field of medical devices and computer-aided surgical navigation, and discloses a virtual positioning CT-guided lung biopsy method, which utilizes real-time acquired body surface point cloud data to drive a biomechanics model, deduces a displacement field of lung internal grid nodes, and generates a virtual lung model which changes with respiratory motion. Through a fiber grating sensing array embedded in a puncture needle, the three-dimensional shape of the needle body is solved in real time, and an axial force strain is separated. The system monitors the first derivative characteristics of the strain, and when a mechanical event representing penetration of an anatomical boundary is identified, a spatial deviation vector of the physical coordinates of the needle tip and the virtual predicted coordinates is calculated. A local space calibration field is constructed by using a radial basis function, the virtual lung model is non-rigidly corrected based on the deviation vector, and a dynamic navigation image is generated. The application improves the positioning accuracy of lung puncture navigation by combining body surface deduction and puncture mechanical feedback correction model prediction error without increasing the radiation dose.