68 results about "Medical simulation" patented technology

The invention relates to the technical field of medical simulation training, in particular to an ultrasonic operation intelligent training method and device based on multiple modalities, and the method comprises the steps: obtaining real-time six-degree-of-freedom pose data of an ultrasonic probe held by an operator, and generating an ultrasonic image in real time through a first deep learning model in cooperation with scene parameters; wherein the first deep learning model is trained to learn and establish a continuous mapping relation from an ultrasonic probe pose space to an ultrasonic image space; performing section classification on the ultrasound image by using a second deep learning model, and determining deviation information for a non-standard section; and based on the real-time six-degree-of-freedom pose data and a division result of a preset standard section and an ultrasonic probe pose, generating visual guide information for guiding an operator to adjust the probe pose, and displaying the visual guide information. In this way, the problems that an existing virtual training image is discontinuous and guiding is inaccurate are solved, and meanwhile the training efficiency and the reality sense of ultrasonic operation are remarkably improved.

The invention discloses a medical training evaluation method and system based on an intelligent simulation patient, and relates to the field of artificial intelligence technology and medical simulation, and the method comprises a virtual patient model construction step, a multi-modal perception step, an intelligent interaction step and an intelligent evaluation step. By integrating voice recognition, natural language understanding, facial expression recognition, gesture recognition and virtual reality technologies, a high-simulation and high-interactivity intelligent patient model is constructed for medical students or clinical medical staff to perform diagnosis and treatment training and skill operation assessment. The virtual patient model supports custom information such as age, gender, race, medical history, living habits and the like, different virtual patient images and different pathophysiological states are generated, and personalized learning requirements of users are met. In addition, targeted training suggestions are provided, the training difficulty and content can be adjusted according to the performance of the user, and different training requirements are met.

The invention discloses an umbilical vein catheterization virtual-entity fusion training system based on a novel material, and relates to the technical field of medical simulation training. According to the system, a dynamic three-dimensional umbilical vein anatomical model is constructed through the virtual simulation unit, the entity operation unit adopts a bionic gradient material to simulate neonatal umbilical tissue, and the binding force feedback unit realizes tactile-visual dual-channel interaction. Comprising a multi-source coupling coordinate calibration algorithm, a viscoelastic layered deformation transmission algorithm and the like, and the problems of insufficient operation authenticity and feedback lagging in traditional training are solved by dynamically matching virtual and entity operation spaces and simulating real tissue mechanical response. The novel material preparation unit realizes mechanical property matching with human tissues through a nano-composite process, and the environment simulation unit can reproduce various pathological scenes. The immersion and effectiveness of operation training are remarkably improved, and the method is suitable for standardized training of medical staff in the neonatology department.

The invention discloses a task state brain-computer interface training system for closed-loop transcranial focused ultrasound, and relates to the technical field of medical simulation training. According to the task state brain-computer interface training system for closed-loop transcranial focused ultrasound, the states of software, hardware and participants are verified and protected in sequence through a safety and equipment initialization module; the baseline acquisition and feature calibration module extracts individualized EEG time-frequency features with high signal-to-noise ratio in resting and task states and screens key channels, the offline decoding training module aligns feature mapping and task labels and then generates a high-precision discriminator through cross validation optimization, and the online closed-loop modulation module embeds the discriminator into a real-time EEG assembly line. The self-adaptive optimization and advanced task module realizes'reading-judging-writing-evaluating 'closed-loop intervention, guarantees safety through physiological monitoring, and finally constructs a safe, accurate and sustainable self-perfect closed-loop transcranial focused ultrasound brain-computer interface training platform by continuously iterating a model and stimulation parameters based on real-time feedback and historical data through the self-adaptive optimization and advanced task module.

Implementations relate to medical simulations for medical procedure training. In some implementations, a system includes a simulation processing component including at least one processor and which generates a virtual environment using position signals that describe at least one of a position and a configuration of a physical surgical instrument relative to a physical surgical site. The simulation processing component updates the virtual environment according to changes in the position signals and according to control signals corresponding to inputs by a user of the system. The updating includes moving a virtual surgical instrument within the virtual environment, where an interaction of the virtual surgical instrument with a virtual surgical site is defined at least partly by a physical relationship between the physical surgical instrument and the physical surgical site. The simulation processing component outputs a representation of a simulation state signal indicative of a current state of the virtual environment.

The invention relates to the technical field of medical simulation training equipment, in particular to an arm puncture simulation training device and a simulation system thereof, comprising an arm model main body and a control box base arranged at the end of the arm model main body; the puncture training assembly is arranged on the arm model main body and comprises a hand back clamping groove formed in the hand back of the arm model main body, a hand back module piece arranged in the hand back clamping groove, an ejection piece arranged in the hand back clamping groove and a storage piece arranged in the control box base; the rectangular plate is arranged in the control box base, long objects such as tourniquets and the like can be clamped and stored in the rectangular plate, so that the long objects cannot be intertwined and interfered with one another, medical students can clearly take needed objects, the first connecting rod and the second connecting rod drive the expansion plate to be unfolded in the control box base, and the expansion plate is convenient to use. Storage of necessary small articles such as cotton swabs by the control box base is improved, and the situation that the necessary articles of the arm model main body are stored in a mess is improved.

The application belongs to the intersection of medical education technology and GSP medicine management informationization, and provides a GSP medicine management whole-process virtual simulation system based on human-computer interaction, which comprises a virtual simulation engine end, an interactive device, a voice input device, an analysis module and a guiding module; the virtual simulation engine end is used for realistically presenting a medical simulation working scene; the interactive device is used for capturing the current action of a practical training personnel and acquiring the operation content of the practical training personnel in reality according to the current practical training process in which the practical training personnel is located; the voice input device is used for receiving the voice input of the practical training personnel in the current practical training process; the analysis module is used for performing interactive logic judgment on the operation content and the voice input and performing behavior feedback, determining the behavior correct guidance of the practical training personnel in the current practical training process, and generating the behavior guidance strategy of the current practical training process; and the guiding module is used for continuously guiding the practical training personnel according to the behavior guidance strategy. The immersion learning improves the practical training effect.

The application discloses a real scene interactive anesthesia simulation training management method and system based on VR technology, and relates to the technical field of intelligent medical simulation, which comprises the following steps: generating a virtual three-dimensional anatomical view by using a generative adversarial network based on MRI / CT images and medical records of a patient, configuring a linear mapping function by using a linear regression method, generating virtual patient physiological parameters, and embedding the virtual patient physiological parameters into the virtual three-dimensional anatomical view to obtain a virtual patient model; calculating the interaction force of a puncture needle in the virtual patient model in real time by macroscopic finite element analysis and microscopic molecular dynamics; and calculating the interaction force deviation value and the anesthetic deviation value based on the interaction force and the pharmacodynamic curve, and giving real-time prompts to a trainee through a VR head-mounted display and a tactile glove. By generating the virtual patient model, the application realizes accurate modeling of individualized anatomical structures and physiological parameters, and significantly improves the authenticity and individualization of the patient simulation.

The invention relates to the technical field of medical simulation, in particular to an ablation needle puncture training auxiliary system, and aims to solve the problems of insufficient tactile feedback and low fineness when an existing ablation needle puncture training system simulates a needle tip to penetrate through multiple layers of biological tissues so as to improve the'needle feeling 'cognition and fine operation skills of doctors. The system is characterized by comprising a physical interaction module, a virtual simulation module, a central processing module and a visual presentation module, a high-fidelity virtual tissue model is constructed, real-time multi-mode tactile feedback is combined, and an accurate needle-tissue interaction mechanical simulation and multi-dimensional tactile rendering algorithm is adopted. By the adoption of the technical scheme, the problem of a touch gap is effectively solved, the authenticity and effectiveness of simulation training are improved, and the precision and safety of clinical puncture operation are remarkably improved.

The present application relates to the technical field of computers, and provides a three-dimensional model usage method and apparatus based on a medical model content library, an electronic device, and a storage medium. The method comprises: when performing medical simulation training, invoking a medical virtual content library, wherein the medical virtual content library is obtained by storing three-dimensional data files; and obtaining demand data, searching the medical virtual content library for a corresponding target three-dimensional data file on the basis of the demand data, and invoking a corresponding target three-dimensional model on the basis of a target three-dimensional medical file. The present application solves the problem in the prior art of how to quickly provide medical three-dimensional scenes and matched modes under various scenes.

The present invention belongs to the field of medical simulation and education technology. The present invention discloses a method and system for building an interactive medical simulation scene based on AI artificial intelligence, including collecting patient physiological data, medical information data and patient feedback data; preprocessing the patient physiological data and medical information data to obtain a physiological characteristic data set and a medical information characteristic data set; fusing the patient feedback data into the physiological characteristic data set and the medical information characteristic data set to obtain a medical comprehensive characteristic data set; training a medical scene prediction model, inputting the medical comprehensive characteristic data set into the medical scene prediction model, and predicting medical scene simulation data; processing the predicted medical scene simulation data to obtain data simulation similarity error; providing more realistic data support for medical training, research and decision-making, and improving the effect and reliability of medical simulation.

This invention discloses a seamless switching medical simulation training system that integrates virtual and real-world childbirth and postpartum hemorrhage scenarios. Its features include: a maternal model, a childbirth simulation mechanism, and a postpartum simulation mechanism, one of which can be selectively mounted on the maternal model; the childbirth model mechanism includes an infant model, a birthing belly component, a birthing vagina component, and a drive device. The drive device is located within the maternal model, and the infant model is mounted on the drive device, allowing the drive device to move the infant model linearly and rotate towards the birthing vagina component; the birthing belly component is equipped with undulating components; this system achieves seamless switching between childbirth and postpartum hemorrhage scenarios through a modular and detachable structure, realistically simulating clinical scenarios such as the childbirth process and postpartum hemorrhage care. It is comprehensive in function, realistic in operation, and can effectively improve the standardized operation and emergency response capabilities of medical personnel.

The invention relates to the technical field of medical simulation devices, in particular to an artificial intelligence driven thoracic and abdominal movement simulation die body which comprises internal soft tissue equivalent to a human tissue CT value, the simulation die body can simulate movement of the heart, the lung, the liver, the intestinal tract and the tumor at the same time, surface movement simulation of the die body is considered, and the simulation effect is good. Simulation movement is achieved through multiple maneuvering modes, and movement of thoracic and abdominal organs, tumors and body surfaces is restored to the maximum extent. The model body is made of a simulation material equivalent to a human tissue CT value, it is ensured that the physical property of the model body is similar to that of the human tissue, the simulation authenticity is improved, and organ movement control modes including fixed frequency input, collected patient frequency input and movement frequency predicted through an artificial intelligence algorithm are flexible and diversified. And guarantee is provided for dosimetry verification by shooting 4D CT and position error verification by means of a body surface optical positioning system.

The invention relates to the field of medical simulation training. The invention discloses a minimally invasive surgical skill training system and an evaluation method thereof, and the system comprises a recognition and collection module which is used for collecting doctor information and recognizing and extracting surgical features, a storage module which is used for storing the doctor surgical information and the surgical features, and a data processing and analysis module which is used for analyzing, processing and fitting the surgical features. The three-dimensional module is used for converting the analyzed, processed and fitted surgical features into a three-dimensional model; and the display simulation module is used for displaying the three-dimensional model. Multi-doctor operation characteristics are collected, data are separated according to time and success rate, a dynamic operation model is generated through fitting of a genetic algorithm and the like, and individuation and standardization are combined. The sensing module is used for collecting data, constructing a three-dimensional model and providing force feedback. Through dual-mode and dual-threshold grading evaluation intervention, success rate constraint is introduced to guarantee the quality of key steps, and the efficiency is optimized for time-limited surgery.

The present application relates to the technical field of medical simulation, in particular to a postoperative hemorrhage intelligent early warning and nursing simulation system based on virtual-real linkage, which comprises a construction module, an embedding module, a simulation module, an analysis module and a processing module. The construction module sets a time window and generates a postoperative hemorrhage quantitative identification model according to postoperative hemorrhage historical case data, embeds the model into the simulation system, and automatically switches the model calling according to the collection time. The simulation module locks the hemorrhage stage and generates clinical manifestations through index threshold matching. The analysis module makes abnormal grade labeling on the manifestations, determines the hemorrhage signs according to the rules, and the processing module triggers the graded early warning according to the hemorrhage signs and calls the adaptive postoperative hemorrhage nursing simulation operation. The present application solves the problems of experience-dependent postoperative hemorrhage judgment and early warning lag, realizes the timely early warning of postoperative hemorrhage, builds a virtual-real linkage simulation training system that fits the clinic, improves the emergency disposal ability of medical staff, and has clinical practicability.

The invention discloses a robotic wounded personnel system for quantitative evaluation of bioaerosol respiration exposure, and belongs to the technical field of medical simulation models, and the robotic wounded personnel system comprises a human body shape subsystem; the bionic breathing subsystem is arranged in the simulated human body model; the simulated lung subsystem is arranged in the simulated human body model; the rear end of the air pipe simulation structure communicates with the cylinder through a first one-way valve; an aerosol analysis unit; one end of the exhaust pipeline is communicated with the cylinder through a second one-way valve, and the other end is communicated with the air pipe simulation structure through a filter; the bionic respiration subsystem is provided with detection points, and the aerosol analysis units are connected to the detection points respectively for sampling and analyzing particle size distribution and concentration of aerosol of each detection point. The system simulates a human body breathing process in a biological aerosol environment through the machine wounded simulation model, and can realize accurate quantitative evaluation of aerosol breathing exposure in combination with the aerosol analysis unit.

This application relates to the field of medical simulation model manufacturing technology, specifically to a method for fabricating a fourth-level bronchus model, comprising: S1. Reverse modeling based on CT scan data of healthy human bronchi, and using Lasty-R liquid material to 3D print a lost foam of the fourth-level bronchus; S2. Applying a layered coating of platinum silicone to the surface of the lost foam and simulating the histological features of the bronchus to obtain a bronchus blank coated with a silicone layer; S3. Placing the bronchus blank in a heating environment of ≥100℃ to soften and break the internal lost foam into fragments; S4. Adding a lubricant into the cavity of the bronchus blank, removing the lost foam fragments, and obtaining a hollow fourth-level bronchus model. This method simplifies the fabrication process of the fourth-level bronchus model, shortens the cycle time, and reduces costs. The model has high simulation accuracy and strong reusability, meeting the needs of clinical training and medical teaching in multiple scenarios.

The invention belongs to the technical field of medical simulation education, and discloses injection equipment for nursing learning operation training, which comprises a mounting seat, an injection needle inserted on an injection equipment body and an injection needle cap sleeved on the injection needle, through cooperation of structures such as an insertion block, a control rod, an inclined groove and an insertion groove, rapid disassembly and assembly of an injection equipment body are achieved, the equipment maintenance and replacement efficiency is improved, specifically, a sleeve is pushed in the direction away from an injection needle, a control ring is driven to move in a fixing groove, and therefore the control rod moves upwards synchronously, and the equipment maintenance and replacement efficiency is improved. When a new injection needle is inserted, the inclined surface of the new injection needle extrudes the insertion block to move towards the two sides and compress the first spring, when the insertion groove and the insertion block are located on the same horizontal line, the insertion block is pushed into the insertion groove through the elastic potential energy of the first spring, and then the new injection needle can be pulled out easily. And the injection needle is smoothly replaced.

The invention belongs to the technical field of medical simulation. According to the digestive endoscope virtual simulation training system and the digestive endoscope operation evaluation method, a background control terminal carries a visual interaction platform and a user assessment system, an attitude sensor is arranged in a box body, a handle is used for simulating key operation of an endoscope, and the visual interaction platform is connected with the user assessment system. A virtual digestive tract modeling scene is configured in the visual interaction platform; the handle and the attitude sensor are both in communication connection with the control terminal; the control terminal is in communication connection with the background control terminal; the visual interaction platform restores the operation behavior track of the endoscope in the virtual digestive tract modeling scene according to the received posture data of the endoscope and in combination with the virtual digestive tract modeling scene; an endoscope video is collected through a camera on a handle, and a user assessment system performs operation evaluation on the digestive endoscope according to an operation behavior track, the endoscope video and a diagnosis report of a user; and the accurate restoration of the endoscope operation process is realized.

The invention relates to the technical field of medical instruments and medical simulation training, discloses a stomach tube visual training system and method, and aims to solve the problems that an existing training system is low in visual precision, lacks neurology special pathological scene modeling, and cannot intelligently recognize operation errors and provide personalized feedback. The method comprises the following steps: constructing a high-fidelity anatomical digital twin integrating hyperpharyngeal reflex and esophageal spasm simulation; through fusion sensing of the fiber bragg grating and the inertial measurement unit, the pose and mechanical parameters of the stomach tube are collected in real time, and advanced training tasks are dynamically recommended. The system comprises a high-fidelity anatomical model module, a multi-modal sensing fusion module, a visual rendering module, an intelligent error recognition module and a personalized training feedback module. According to the technical scheme, the authenticity of training, the accuracy of operation feedback and the individuation level of skill improvement are remarkably improved.

The invention discloses a real-time feedback teaching method and system for a medical dummy, and relates to the technical field of medical education, and the method comprises the steps: collecting multi-source behavior data generated when a student operates the medical dummy through a sensor group, carrying out the feature extraction, carrying out the real-time comparison, and generating decision deviation data, when the deviation exceeds a threshold value, an intervention instruction is triggered, teaching intervention is executed, operation deviation can be captured in real time, targeted guidance can be dynamically generated, multi-source behavior data are collected and analyzed in real time and compared with a standard clinical decision path, operation deviation of trainees can be detected in real time, teaching intervention is automatically triggered when the deviation is too large, and teaching efficiency is improved. Therefore, timeliness and accuracy of medical teaching feedback are improved, wrong operation is prevented from being solidified, and training efficiency is improved.

The invention relates to the technical field of medical simulation training, in particular to an injury condition medical simulation practice system, which comprises a field integrated simulation terminal, the field integrated simulation terminal comprises a controller, a display, a memory and a simulation device, and the simulation device comprises a simulation box and a plurality of simulation persons located in the simulation box and used for simulating different injury conditions; the controller, the display and the memory are arranged on the simulation box; a plurality of injury condition training modes, injury condition processing standard steps and injury condition processing medical materials are stored in the memory; the display displays injury condition mode selection; during use, trainees select injury condition training modes through the display, the controller controls the simulation box to rotate to switch the simulated persons, and the box door is automatically opened to output the corresponding simulated persons upwards; and meanwhile, the controller calls the injury condition processing standard steps of the corresponding modes to be displayed on the display, so that trainees can independently train, the training efficiency is improved, and the waste of human resources is reduced.

The invention discloses a voice generation method and electronic equipment, and the method comprises the steps: obtaining the feature information of a virtual object, the feature information comprises the basic information and medical information of the virtual object, and the medical information comprises at least one of a diagnosis result, a medical record, and a psychological assessment result; determining a target voice parameter based on the feature information; obtaining output text information; and obtaining voice data based on the target voice parameter and the output text information. According to the invention, personalized adjustment of the voice parameters is realized according to the features of the virtual object, so that the generated voice information better fits the real expression corresponding to the virtual object, and the technical effect of improving the reality sense and credibility of interaction in medical simulation is achieved.

The invention relates to the technical field of medical simulation experiments, and particularly discloses a puncture force feedback device, a simulator and a use method thereof.The puncture force feedback device comprises a shell, a guide mechanism, a sliding block assembly and a peripheral acquisition circuit, the guide mechanism and the sliding block assembly are installed in the shell, and the peripheral acquisition circuit is installed outside the shell; a soft iron sheet attracted to the electromagnet is installed in the shell, a displacement monitoring module and a pressure monitoring module are installed outside the sliding block assembly, and a needle hole used for containing a force feedback needle is formed in the top of the shell; the electromagnet, the displacement monitoring module and the pressure monitoring module are respectively connected with a peripheral acquisition circuit through wires. According to the invention, the resistance of the sliding block is controlled by adopting the change of the magnetic force; a corresponding pressure sensor is matched with a peripheral acquisition circuit, so that the resistance is linearly adjustable; the device can eliminate the resistance influence of the return spring in a specified effective range to obtain constant feedback force.

A method is provided for transforming a high-level language representation of a tensor computation graph into a low level language. The method includes assigning a tensor shape and a loop primitive. The method also includes generating, from the tensor computation graph and the assigned loop primitives, an initial loop structure. The method further includes positioning the layers of the tensor computation graph within a nested loop structure to provide a final loop structure, collapsing loops in the final loop structure, and mapping the collapsed loops to hardware components configured to execute the collapsed loops. The method can be applied to artificial intelligence (AI) and machine learning (ML) use cases for improved optimization of neural networks including compilation optimization for improving performance of simulations such as medical simulations, healthcare simulations, weather simulations, and / or simulations related to other complex systems, which can also support decision making.

The application relates to the technical field of medical simulation teaching, in particular to a virtual teaching system of a bronchoscope. An acquisition module first acquires the multi-modal operation data of a target operator on a virtual bronchoscope collected in real time through a VR device. An evaluation module generates a capability profile and determines a weak point in capability in combination with the multi-level branch anatomical features and respiratory physiological features of a bronchus. An adjustment module selects training content matched with the capability profile and the weak point in capability from a training library. An interaction module visualizes the operation suggestions of a teacher and superimposes the operation suggestions on the display interface of the VR device through an AR device to dynamically update the display parameters. The application provides targeted teaching scenes for target operators with different degrees of proficiency in combination with the VR device and the AR device, improves the training efficiency and clinical conversion rate, and reduces the understanding difficulty of the target operator based on the visual guidance of the teacher, thereby improving the teaching efficiency of bronchoscope operation.

The invention relates to the field of medical simulation training instruments, in particular to an ultrasonic guided puncture training system and method based on multi-modal feedback. The system comprises a bionic tissue module, a puncture needle and a control host. Conductive target units in various shapes such as a circular shape, an oval shape and an irregular shape are embedded in the bionic tissue module according to the training difficulty gradient so as to correspond to graded training targets of different clinical scenes. And the control host is electrically connected with the puncture needle and each target point unit to form a trigger circuit. During training, an operator punctures and selects a target spot under the guidance of an ultrasonic image, and when a needle point accurately touches the target spot, a circuit is switched on and real-time acousto-optic feedback is generated. According to the method, standardized and stepped full-process puncture skill training is realized through a structured polymorphic target design and an electric and image dual-mode feedback mechanism, and the pertinence, the real-time performance and the clinical conversion effect of training are effectively improved.

The present invention provides a medical simulation for realizing efficient training by guiding the operation of an endoscope probe in the training of an endoscope using a medical simulator, and a training method using the medical simulator. In addition, the invention further provides a medical simulator which is miniaturized as much as possible and low in cost and a training method thereof, so that on-site training is facilitated. A medical simulator (10) is provided with a stomach (6), which is a hollow organ model in which the inside can be imaged through the tip (221) of an endoscope probe (22), and the stomach (6) is provided with first to eleventh guide sections (G1 to G11) for guiding the endoscope probe (22), the first to eleventh guide sections (G1 to G11) being respectively disposed corresponding to different first to eleventh specific sites (P1 to P11).

The application provides a covered stent release mechanical navigation method, device and equipment and a readable storage medium, and relates to the technical field of medical simulation. The covered stent release mechanical navigation method comprises the following steps: placing a pre-generated stent model in a compressed state into a lesion area of a pre-generated lumen model, converting the stent model to a release state, and obtaining mechanical simulation data; inputting a simulation fluid into the lumen model in which the stent model is placed, and obtaining fluid dynamics data; and obtaining a simulation result of covered stent release according to at least one of the mechanical simulation data and the fluid dynamics data. By simulating the stent release process and the body fluid flow, accurate stent release effect evaluation is provided for medical staff, which helps to optimize the selection and release position of the covered stent, reduces complications, and improves the success rate of surgery.

The invention provides a neurology training method and device suitable for multi-terminal interconnection, and relates to the medical simulation training technology, the neurology operation process can be trained through VR equipment, a user can enter a simulation operation scene by wearing the VR equipment, and the operation efficiency is improved. The system can generate the virtual display data in the user operation process in combination with the initial difficulty, score the virtual display data according to the operation condition of the user, adjust the simulation difficulty in combination with the score data, reduce the difficulty if the score of the user is low, improve the difficulty if the score of the user is high, and update the virtual display data in real time in combination with the adjustment difficulty. Therefore, the training difficulty can be automatically optimized in combination with the operation condition of the user, and the efficiency and flexibility during user training are improved.