1178 results about "Acupuncture point" patented technology

The invention relates to the field of medical robots, and discloses a meridian point foundation construction method for precise positioning of an acupuncture robot, which comprises the following steps: scanning skin texture, muscle contour and skeleton mark features of a human body surface, and establishing a human body surface feature digital model; the method comprises the following steps: acquiring temperature distribution data of a human body surface, human body surface feature digital model data and elastic modulus data, performing weight mapping feature level fusion to generate an enhanced acupuncture point feature map, and establishing an acupuncture point-meridian association relationship matrix based on the enhanced acupuncture point feature map; compared with the prior art, the method has the advantages that three-dimensional body surface scanning, infrared thermal imaging and elastic modulus data are integrated through the multi-modal data fusion technology to generate the enhanced acupoint feature map, the dynamic meridian-acupoint twinborn model is constructed in combination with double-ellipse section fitting and implicit curved surface reconstruction, and tissue deformation is simulated in real time.

The invention discloses a man-machine cooperation type high-precision acupuncture method and system based on digital twinning, and relates to the technical field of acupuncture, and the method comprises the steps: obtaining user body surface image data, local subcutaneous tissue structure data, standard meridian model data and real-time electrophysiological data; generating a three-dimensional point cloud model based on the body surface image data, and mapping the standard meridian model data to the three-dimensional point cloud model to generate initial acupuncture point coordinates; dynamically correcting the initial acupuncture point coordinates based on the real-time electrophysiological data to obtain individualized acupuncture point coordinates; constructing a hierarchical tissue model containing neural distribution based on the local subcutaneous tissue structure data; the method has the advantages that dynamic acupuncture point correction is achieved by fusing three-dimensional point cloud modeling and real-time electrophysiological feedback, a precise acupuncture path is generated in combination with nerve activation probability prediction, real-time path adjustment is conducted based on physiological feedback, and the method has the advantages of improving acupuncture point positioning precision, achieving dynamic optimization of the acupuncture path and improving treatment safety.

The invention provides an AR-assisted acupoint dynamic positioning method and system based on biological characteristics, and relates to the technical field of medical assistance, and the method comprises the steps: building a three-dimensional body model based on the body shape point cloud data, collected in real time, of a current user, and calculating the theoretical coordinates of acupoints in combination with a traditional Chinese medicine acupoint positioning rule; dynamically calibrating the theoretical coordinates on the basis of synchronously acquired body surface conductivity change characteristics and body surface temperature distribution characteristics of the to-be-acupunctured body area of the current user, and generating acupuncture point coordinates and corresponding needle inserting parameters; the acupuncture point coordinates are mapped to the body part of the current user, visual acupuncture point marks are displayed in real time through AR equipment, and operation guidance related to the needle inserting parameters is synchronously provided; when it is detected that the body position change of the user exceeds the preset threshold value, the above steps are executed again, and the acupoint coordinates and the operation guidance are updated, and through multi-modal biological feature fusion, dynamic calibration and AR visualization interaction, acupoint positioning is precise, dynamic and visualized.

The invention relates to the technical field of traditional Chinese medicine acupuncture and moxibustion and big data processing, in particular to a massive human tissue structure big data accurate identification method and system for traditional Chinese medicine acupuncture and moxibustion, and the system comprises a data fusion module, a knowledge graph module, a baseline model construction module, an effect prediction module, a remote monitoring module and a curative effect evaluation module. Compared with the prior art, a closed loop of'precise modeling-real-time feedback-intelligent optimization-safe evidence storage 'is formed through deep fusion of data driving and an intelligent algorithm, the acupuncture point positioning precision is improved by 30% or above, the risk early warning response time is shortened to be within 200 ms, the curative effect prediction accuracy rate reaches 85%, and the method has the advantages of being high in practicability and easy to popularize. Systematic technical support is provided for standardization and intellectualization of acupuncture treatment, and clinical safety and effectiveness are remarkably improved.

The invention relates to the technical field of acupuncture, in particular to an intelligent acupuncture point precise positioning and stimulation regulation and control system based on combination of traditional Chinese medicine and western medicine, and the system firstly collects body surface acupuncture point information of a user, analyzes sensitivity and generates visual data. The information processing module fuses the data, generates acupoint comprehensive characteristics and marks a target acupoint. And the virtual visualization module generates a virtual acupoint image and marks a target acupoint. The needling instrument massage module formulates a needling instrument pushing scheme according to acupuncture point characteristics and needling instrument parameters, and the needling instrument pushing scheme is executed by the body surface needling instrument pushing device. Meanwhile, the electrical stimulation regulation and control module generates parameters, the electrical stimulation intensity, frequency and time are controlled, and the electric acupuncture massage device is combined with body surface acupuncture massage operation to execute treatment. According to the system, accurate acupoint positioning, personalized needle pushing scheme making and electrical stimulation regulation and control are achieved, the effect and safety of needle pushing treatment are improved, and innovative technical support is provided for modernization of traditional Chinese medicine.

The invention relates to the technical field of traditional Chinese medicine acupuncture and moxibustion, in particular to a human body acupuncture and moxibustion scheme intelligent screening method and system based on the brain-computer interface technology. Inputting the nerve response characteristic parameters into an acupoint efficacy prediction model, outputting nerve regulation efficacy scores of the acupoints, and generating an initial acupuncture scheme; in the process of executing the initial acupuncture scheme, electroencephalogram signals are collected in real time, and a neural feedback intensity value is calculated; and when the feedback intensity is lower than a preset response baseline, triggering a dynamic weight optimization algorithm, updating the scoring model and generating an optimized acupuncture scheme. According to the invention, objective evaluation and dynamic optimization of the human body to different acupoint nerve responses are realized, and the method has the advantages of high intelligence, high real-time performance, excellent individualized adaptation capability and the like, and is suitable for intelligent decision system deployment for assisting acupuncture therapy.

The invention relates to the field of traditional Chinese medicine clinical auxiliary diagnosis, and discloses an acupuncture point recommendation method, an acupuncture point recommendation model obtaining method, an acupuncture point recommendation model obtaining device, acupuncture point recommendation equipment and a medium, and the acupuncture point recommendation model obtaining method comprises the following steps: collecting patient medical record data to form a medical record data sample set; preprocessing the medical record data sample set to obtain a standard medical record data sample set; inputting the standard medical record data sample set into a preset language model, performing preliminary training on the language model based on the standard medical record data sample set, so that the language model establishes a semantic mapping relationship between the patient symptom information and the acupuncture points, and performing parameter fine tuning and strategy optimization on the preliminarily trained language model in sequence, obtaining an acupuncture point recommendation model; according to the acupuncture point recommendation model obtaining method, the accuracy and individual adaptability of acupuncture clinical treatment are improved, the diagnosis and treatment efficiency is optimized, and a scientific and systematic treatment scheme is provided for a patient.

The invention discloses a buccal needle positioning navigation method and system based on multi-mode perception driving, and the method comprises the steps: collecting the image information and depth information of the face of a patient; generating an individualized face three-dimensional model according to the image information and the depth information; determining a standard meridian map according to a meridian database, and registering the standard meridian map to the individualized face three-dimensional model through non-rigid deformation to obtain acupuncture point positioning; according to the acupuncture point positioning and a pre-stored organization hierarchy model, needle insertion path guiding information is calculated and generated, and in an interactive interface, the acupuncture point positioning and the needle insertion path guiding information are displayed in an overlapped mode so as to execute the needle insertion guiding process; and in the needle insertion guiding process, collision detection is carried out according to the needle insertion path guiding information and the organization level model, and safety early warning is carried out when a collision risk is detected. The precision and safety of the acupuncture treatment process can be effectively improved.

The invention provides an intelligent mental disease recognition method and device based on multi-modal data and a medium. The method comprises the steps that illness state self-described text information and ear image data of a to-be-tested person and impedance and / or temperature information of all designated acupoints in the auricular concha area and the helix area of the to-be-tested person are obtained; performing local feature extraction on the ear image data to obtain an image feature vector; capturing measured value feature vectors between impedance and / or temperature information of different acupoints by using a multi-head attention mechanism; extracting semantic feature vectors of the illness state self-described text information; and forming a multi-modal fusion feature vector from the image feature vector, the measured value feature vector and the semantic feature vector, inputting the multi-modal fusion feature vector into an intelligent disease identification model for classification, and outputting a mental disease prediction result. According to the method, the ear image, the impedance and / or temperature information of each acupuncture point and the multi-modal data of the text information of the patient are fused, and the deep learning model is combined to realize disease classification, so that the recognition efficiency and accuracy are improved.

The invention relates to an eye thermal therapy instrument with a massage assembly, and relates to the technical field of eye thermal therapy instruments, the eye thermal therapy instrument comprises a thermal therapy instrument shell and a physical therapy mechanism arranged on the thermal therapy instrument shell; the physiotherapy mechanism comprises a massage assembly and a hot compress assembly which are used for carrying out massage and hot compress on the eyes of the human body, and a sealing assembly which is used for carrying out sealing fit on the thermal therapy instrument shell and the eyes of the human body. The hot compress assembly comprises a water tank, a heating wire and a plurality of atomizing nozzles which are arranged on the thermal therapy instrument shell, a water storage part for storing water for the plurality of atomizing nozzles, an adjusting part for automatically adjusting the water yield of the atomizing nozzles, and a heating part for heating the heating wire. The purpose that the thermal therapy instrument precisely regulates and controls the massage force of the designated eye position of the patient and the spraying amount of the liquid medicine at the corresponding eye position is achieved, the larger the pressing force of the designated eye position of the patient is, the larger the spraying amount of the liquid medicine at the corresponding acupuncture point is, the phenomenon that the skin absorbs the liquid medicine unevenly is avoided, and the eye hot compress effect is guaranteed.

The invention discloses an intelligent acupuncture optimization method, system and device based on acupoint electric signal feedback, and relates to the field of electric data processing, the method comprises the following steps: obtaining associated acupoints of a target diagnosis and treatment mode and treatment parameters corresponding to the associated acupoints; controlling an electric needle to apply electric stimulation to associated acupuncture points according to the treatment parameters; after the electrical stimulation is applied to the associated acupuncture points, acquiring an electrical stimulation feedback signal in the target diagnosis and treatment mode, and determining a signal characteristic parameter according to the electrical stimulation feedback signal; the current treatment state is evaluated according to the signal characteristic parameters, and treatment parameters are adjusted according to the evaluation result. The electrical stimulation feedback signals of intelligent acupuncture in different diagnosis and treatment modes are analyzed in real time, the treatment state is evaluated, the treatment parameters of the acupuncture diagnosis and treatment equipment are correspondingly adjusted, real-time feedback and dynamic optimization of acupuncture treatment are achieved, and the accuracy and the curative effect of acupuncture treatment are improved.

The massage method for identifying the back acupoints based on the intelligent AI comprises the steps that a back image of a user is collected, feature extraction is conducted on the back image, back muscle textures and skeleton contour features in the image are obtained, regional features with the acupoints are highlighted through an attention mechanism, and acupoint candidate feature vectors are obtained; inputting the acupoint candidate feature vectors into a trained acupoint positioning model to obtain an acupoint positioning result; generating an optimization strategy based on the acupuncture point positioning result; acquiring a massage demand input by a user, and matching a corresponding initial massage strategy by using a decision tree algorithm based on the massage demand; optimizing the initial massage strategy based on an optimization strategy to obtain a personalized massage strategy; based on the personalized massage strategy, a control instruction of the massage equipment is generated to control the massage equipment to complete back acupoint massage. According to the method and the device, the defect that a targeted massage strategy cannot be quickly generated based on the difference of users at present is overcome.

The invention relates to the field of virtual reality (VR) and medical image processing, in particular to an acupuncture copper human visual frame selection system combined with 3D digital human body modeling. The main components of the scheme comprise 3D modeling software, a multi-level 3D acupuncture copper human model (including skin, meridians and collaterals, acupuncture points and skeleton layers), a J2000 coordinate system, an interactive interface, an infrared thermal imager, a six-axis force sensor, an AI clustering algorithm, a force steering algorithm, a decision tree algorithm, an ICP algorithm, a v-mode l technology, a BERT model and the like, and the components work cooperatively to construct a high-precision 3D model and calibrate coordinates. A frame selection instruction is received through multi-modal interaction, temperature and force data are collected to generate a dynamic matrix, label arrangement and rule generation are carried out, multi-source data are integrated and exported, real-time binding and intelligent recommendation of acupuncture points and models are achieved, a complete acupuncture point visual frame selection system is formed, and the acupuncture point positioning accuracy and the operation intelligent level are improved.

The invention relates to a personalized traditional Chinese medicine health-care intelligent recommendation system combined with an acupuncture theory. The system comprises a multi-modal data acquisition module, an AI diagnosis module and an acupuncture scheme generation module. According to the invention, the health information of the user is acquired through the multi-modal data acquisition module, the deep learning model fused with the acupuncture meridian theory is utilized to realize physique identification and disease diagnosis, and the personalized acupuncture health care scheme is generated based on the established acupuncture point, physique and disease three-dimensional association database. A reinforcement learning algorithm is combined with a user real-time feedback dynamic optimization scheme, the limitation that traditional acupuncture depends on physician experience is broken through, intelligentization, individuation and dynamics of acupuncture health care are achieved, the accuracy and operability of the health care scheme are improved, and the method is suitable for various scenes such as family health care and community medical treatment and has a wide application prospect. The method has remarkable innovativeness and practicability, the physique and the disease of the user are accurately identified based on multi-modal data, the acupuncture scheme adaptive to personal characteristics is generated, and the problem that a traditional universal scheme is insufficient in adaptability is solved.

The invention relates to the field of acupuncture teaching simulation, in particular to an acupuncture teaching simulation system and method. The method comprises the steps that based on acupuncture operation position data in historical stages, acupuncture point coordinates in acupuncture operation in all the stages are corrected; further calculating a positioning accuracy evaluation value of each stage based on the acquired acupuncture operation data; calculating the stimulation intensity of each acupuncture operation in each stage based on acupuncture operation data, and further calculating the comprehensive biological signal response in each stage; calculating a learning effect quantized value of each stage by using a learning effect evaluation algorithm based on the positioning accuracy evaluation value of each stage and the comprehensive biological signal response of each stage; and calculating the difficulty of the next stage based on the learning effect quantized value of each stage. The problems that in traditional acupuncture teaching, a standard acupuncture point model generally cannot adapt to individual differences of all students, each acupuncture operation of the students is difficult to be evaluated immediately and accurately, and the difficulty cannot be dynamically adjusted are solved.

The invention provides an acupuncture point accurate positioning device based on machine learning, and relates to the field of artificial intelligence. Comprising a multi-modal data acquisition module, a data preprocessing module, a machine learning processing module, a dynamic adaptive calibration module, a gender specificity optimization module, a laser projection module and an interaction and control module, wherein the multi-modal data acquisition module is used for acquiring human body surface sign information and human body three-dimensional space coordinate information; temperature difference information and human body posture data of the acupoint area and surrounding tissues; the machine learning processing module is internally provided with a trained improved convolutional neural network model, performs feature extraction and fusion on the data processed by the preprocessing module, and outputs initial acupuncture point coordinates; the dynamic self-adaptive calibration module dynamically corrects the coordinates of the acupuncture points; the gender specificity optimization module analyzes gender information of a patient and performs targeted adjustment on initial acupuncture point coordinates. According to the invention, the defects in precision, efficiency, adaptability and scene expansibility in the prior art are overcome.

The invention provides a control method and device of a massage robot, electronic equipment and a readable storage medium, and the method comprises the steps: scanning the acupoint position of each human body acupoint in an initial to-be-massaged area of a target user through a depth camera; detecting a key massage area in the initial to-be-massaged area through an infrared thermal imager; determining a to-be-massaged target meridian of the target user based on the position of the key massage area on the target user; generating a massage path based on each human body acupoint on the target meridian and the acupoint position of each human body acupoint on the target meridian; and controlling a mechanical arm of the massage robot to execute massage operation on the target user according to the massage path. Through the method, the massage effectiveness of the massage robot is improved.

The invention relates to the field of medical instruments, in particular to a percutaneous microflow acupuncture system closed-loop regulation and control method and system based on multi-channel acupoint impedance, and the method comprises the steps: obtaining a first surface electromyogram signal in a human body action period, and constructing a relation between an action behavior and surface electromyogram; determining a multi-channel implementation path of the percutaneous microflow acupuncture system according to the relationship; impedance characteristics of acupuncture points along the multi-channel implementation path are obtained, and percutaneous microflow electrical stimulation operation is set according to the impedance characteristics; acquiring a second surface electromyogram signal during the implementation of the electrical stimulation operation, and adjusting the electrical stimulation operation according to the first surface electromyogram signal and the second surface electromyogram signal; and acquiring a response signal for adjusting the multi-channel implementation path association region during the implementation of the electrical stimulation operation so as to change the multi-channel electrical stimulation mode. According to the invention, path calibration of multiple acupoint associated stimulation areas is implemented through multiple channels, feedback closed-loop stimulation regulation is formed by combining acupoint impedance and electromyographic signals formed during stimulation, and the stimulation efficiency is improved.

The invention discloses a traditional Chinese medicine human body acupuncture point recognition method and system based on virtual reality, and relates to the technical field of acupuncture point recognition. The system can collect action acupuncture point position data and curative effect data of a patient in the massage process in real time through an action tracking and acupuncture point recognition module in combination with VR equipment and a sensor group; and the data are transmitted to a cloud platform through a wireless network to be processed and analyzed. And the data integration processing module carries out visual display and standardized processing on the acquired data, so that the accuracy and consistency of the data are ensured. And the operation error analysis module can calculate an action space error D and evaluate the massage operation precision according to the value. When the output result of the motion space error D exceeds a certain deviation, the system gives a prompt to a physiotherapist through a visual interface to guide the physiotherapist to adjust the massage manipulation, and the integration of the system not only improves the transparency of the treatment process, but also greatly reduces errors caused by human factors.

Provided is a system used for acupuncture treatment, including a helmet that includes: a base having at least one hole positioned at strategically designated acupuncture points; at least one object placed within the at least one hole; and a heat source, wherein the heat source is configured to heat up the at least one object for acupuncture treatment. Also provided is a method for acupuncture treatment including: configuring at least one strategically placed hole in a helmet according to specific acupuncture points; having a patient wear the helmet snugly; inserting at least one object into the at least one strategically placed hole; heating up the at least one object with a heat source; and administering heat-based acupuncture treatment to the patient via the heated up at least one object through the at least one strategically placed hole.

The portable moxibustion device comprises a base, a lifting rod, a telescopic rod and a moxibustion cylinder, the lower end of the lifting rod is connected with the base, the upper end of the lifting rod is connected with one end of the telescopic rod through a connector, the other end of the telescopic rod is connected with the moxibustion cylinder through a spherical holder, and a moxa cone inserting needle is connected to the bottom of the moxibustion cylinder. The moxibustion device is used for solving the problems that an existing moxibustion device generally lacks precise positioning and moxibustion application angle adjusting functions aiming at the characteristics of the acupoints at the tail ends of the four limbs, and the requirement for precise moxibustion treatment on the acupoints at the tail ends of the four limbs in clinic cannot be met.

The invention provides a collateral dredging instrument parameter optimization method based on subjective and objective data fusion, and relates to the technical field of collateral dredging instruments, and the method comprises the following steps: generating an initial electrical stimulation parameter according to an initial electrophysiological signal of the collateral dredging instrument for detecting a target acupoint, and starting the output; in an initial stage of starting output, receiving a subjective trigger signal which is fed back by a user and represents a tolerable critical point, and recording a stimulation intensity value corresponding to the subjective trigger signal as a current personal comfort threshold value of the user; performing continuous stimulation by taking the current personal comfort threshold as basic intensity, and simultaneously executing the following parallel steps: acquiring a continuous or discrete real-time subjective comfort feedback signal input by a user through an interactive interface in real time; monitoring a dynamic electrophysiological signal of the target acupuncture point in real time, and analyzing the change trend of the dynamic electrophysiological signal to generate an objective adjustment suggestion signal; and performing fusion analysis on the real-time subjective comfort feedback signal and the objective adjustment suggestion signal, and performing real-time dynamic adjustment on the current electrical stimulation parameter according to the fusion analysis.

The invention discloses a human body back acupoint recognition and positioning method and system, a terminal and a medium, and the method comprises the steps: obtaining a back image; inputting the back image into a trained target detection model; and obtaining acupoint identification information in the back image through the trained target detection model, and marking the acupoint identification information on the back image. According to the method, acupoint recognition and labeling of the user back image are achieved through the trained target detection model, acupoint recognition standardization can be achieved, the YOLOv11 module in the target detection model can rapidly obtain possible acupoint areas, and the OfficientDet module can achieve high-precision detection, so that the accuracy and reliability of a detection result are improved, and the accuracy and reliability of the detection result are improved. Due to the fact that a target processed by the OfficientDet module is a cut image of a prediction target acupoint detection frame, consumption of computing resources is greatly reduced while high precision of the whole detection process is kept, the problems of illumination change, background interference and the like can be effectively solved, and detection robustness is enhanced.

The invention relates to the technical field of intelligent recognition, and discloses an acupoint acupuncture guidance method and system based on a knowledge graph, and the method comprises the steps: obtaining a real-time three-dimensional coordinate of a target acupoint on a target object through employing a multi-mode positioning technology; the physical sign data and disease information of the target object are obtained, an improved random forest algorithm is used for correcting standard parameters in the acupoint knowledge graph, an acupuncture scheme is generated, the acupuncture device is controlled to select a target needling instrument from the storage bin based on the acupuncture scheme, and acupuncture operation is executed; monitoring needle tip pressure, needle inserting depth and angle deviation in real time; when parameter deviation or abnormal biological signals existing in the needle point pressure, the needle inserting depth and the angle deviation are detected, the actuating mechanism is guided and driven to conduct self-adaptive adjustment till the needling operation is completed. Through the implementation of the invention, the problem that the related technology cannot meet the requirements of modern acupuncture treatment with precision, standardization and safety is solved.

The invention provides an intelligent physical therapy cushion which comprises a supporting framework, a split type cushion body, a multifunctional physical therapy module and a main control system, the split type cushion body is detachably installed on the supporting framework, and the multifunctional physical therapy module and the main control system are further installed in the split type cushion body. A skin contact layer and an elastic filling layer are sequentially arranged on the split type cushion body from outside to inside, the skin contact layer is made of a flexible conductive material, and the multifunctional physiotherapy module is composed of a pulse physiotherapy unit, a hot compress physiotherapy unit and a vibration physiotherapy unit. The pulse physical therapy unit, the hot compress physical therapy unit and the vibration physical therapy unit are arranged in the cushion body, low-frequency pulse electrical stimulation, hot compress and vibration physical therapy can be conducted on specific acupuncture points, blood circulation is promoted, fatigue is relieved, the sexual function is improved, pain is relieved, tissue repair is promoted, muscles are relaxed, and pressure is relieved; the sitting posture, the lying posture and other use postures can be adjusted, and the use comfort is improved.

The invention provides a relaxation and decompression system for relieving juvenile depression based on traditional Chinese medicine five-tone music, and relates to the technical field of five-tone relieving, the relaxation and decompression system comprises an equipment layer and a cloud service layer, the equipment layer comprises an intelligent bracelet module and a multi-mode equipment output module, a user interaction sub-module, an optical heart rate sensing sub-module, a skin electric response sensing sub-module, a body temperature sensing sub-module and a questionnaire survey sub-module are arranged in the intelligent bracelet module, the multi-modal equipment output module comprises an audio conduction unit and a wearable acupuncture point stimulation unit, and a phototherapy control sub-unit is arranged in the wearable acupuncture point stimulation unit. The cloud service layer comprises a traditional Chinese medicine five-tone generation module, a cloud intelligent analysis module and a user feedback module; by introducing the mechanism of five voices of traditional Chinese medicine and combining the theory of traditional Chinese medicine, a three-dimensional synergistic mode of music, acupoint stimulation and phototherapy is provided, and a relieving control scheme is continuously adjusted through real-time biological signal feedback, so that the depressive symptom of teenagers is effectively relieved, and the pressure is relieved.

The invention relates to the technical field of medical care, in particular to a lung cancer chemotherapy patient resilience intervention system and application thereof. According to the intervention system based on the PERMA mode, intervention is implemented in stages through comprehensive measures such as acute symptom management, psychological construction strengthening, chemotherapy adverse reaction cognition, home nursing skill training, physical recovery training, social support linkage and treatment compliance improvement. The method comprises the following steps: quantifying pain by using digital scoring equipment, and assisting pressing to relieve symptoms by using acupoint diagrams; the psychological toughness is enhanced through the positive voice listening and the anti-cancer brave diary recording; an online and offline combined mode is adopted, group lectures, scene simulation video teaching and online community interaction are carried out, and social support of patients is enhanced; personalized exercise prescriptions and home safety lists are formulated, and treatment compliance is improved. The system can significantly improve the recovery of a patient, improve the life quality during chemotherapy, and provide a scientific basis for innovation of a tumor nursing mode.

The invention relates to the cross technical field of medical education and mixed reality technology, in particular to a traditional Chinese medicine meridian point visualization system based on mixed reality technology, which comprises a data fusion and personalized calibration module, a virtual-real fusion interaction module, an interaction teaching module, an intelligent evaluation module and a meridian qi and blood simulation module. By fusing medical image data, depth sensing data and a traditional Chinese medicine acupoint selection rule, a personalized three-dimensional human body model is constructed, and acupoints are accurately calibrated; real-time registration and shielding processing of the virtual model and a real scene are achieved through mixed reality equipment; various natural interaction modes such as gestures, voices and sight lines are supported, and an integrated function of learning, training and assessment is provided; and the meridian qi-blood running state can be dynamically simulated based on the midnight-noon ebb-flow theory. The system has the advantages that the problems that traditional Chinese medicine teaching is poor in intuition and interactivity, cannot be personalized, is inconvenient to examine and the like are solved, and immersive, interactive and intelligent teaching of traditional Chinese medicine meridian point knowledge is achieved.

The invention relates to a meridian point knowledge-based false detection and restoration acupoint recovery method, device and equipment, and the method comprises the steps: generating false detection and restoration acupoint coordinates according to the symmetry constraint relation of human meridian points through known meridian points and symmetrical meridian points, and generating false detection and restoration acupoint coordinates according to the logic topology constraint relation of the human meridian points. The X-axis coordinates of the falsely detected and repaired acupuncture points are corrected through the inherent trend and naming sequence of the human body meridians, and the Y-axis coordinates of the falsely detected and repaired acupuncture points are corrected by determining the up-down position relation of the meridians under the human body posture according to the spatial topology constraint relation of the human body meridians and acupuncture points. By fusing multiple constraints of symmetry in distance, angle and direction, missing false detection and restoration of the acupuncture point can be recovered through geometric symmetry, the detection error is effectively reduced, the robustness of acupuncture point detection is improved, a dual verification mechanism of logical topology and spatial topology is combined, and the accuracy of acupuncture point detection is improved. And further, the reasonability of the recovery result is ensured through constraint.

The invention relates to the technical field of artificial intelligence, in particular to an acupuncture point visual detection and positioning method and system, and the method comprises the steps: synchronously collecting multi-view three-dimensional image data and flexible multi-parameter deformation data of a target area, and the multi-view three-dimensional image data comprises body surface textures and dynamic tracks of anatomical mark points; according to the method, multi-view three-dimensional image data and flexible multi-parameter deformation data of a target area are synchronously collected, an individual deformation feature model is constructed through mark point track purification processing, then a comprehensive feature set containing real-time state and trend prediction is generated through time sequence multi-mode fusion, and after initial acupuncture point coordinates are output through an AI basic matching model, the multi-view three-dimensional image data and flexible multi-parameter deformation data of the target area are obtained. Point-by-point correction is carried out by combining an AI self-adaptive correction model with a differential deformation compensation coefficient, irregular offset and predicted offset, and model parameters are dynamically adjusted through real-time feedback calibration, so that the problem that in the prior art, only static body shape proportional positioning is relied on, and dynamic deformation of soft tissue is not considered, so that acupuncture point offset is caused is effectively solved.