2083 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 an intelligent auxiliary acupuncture system based on the AR technology, and the system comprises the following modules: a multi-modal sensing module which is used for collecting a multi-modal sensing data set containing the surface information of a patient; the visual SLAM guiding module is used for outputting a relative pose between the camera and the skin of the patient; the three-dimensional reconstruction module is used for generating a three-dimensional skin grid model; the candidate acupoint generation module is used for generating a candidate acupoint set under the condition that the density threshold value and the minimum spacing are met; the stable matching module is used for outputting a stable matching result set; the trajectory planning module is used for binding the needle insertion trajectory to the three-dimensional skin grid model to form a needle insertion guide set; and the augmented reality rendering module is used for carrying out real-time visual rendering on the virtual acupuncture point target and the needle inserting track through an augmented reality display terminal. The invention constructs an intelligent acupuncture guide system which is oriented to a real clinical scene and has a real-time correction capability and a medical significance interpretation capability.

The invention relates to a digital acupuncture dynamic control optimization method. According to the technical scheme, the method comprises the steps that real-time physiological data, including the heart rate, the oxyhemoglobin saturation, the skin temperature and the muscle tension, of a patient are collected through a wearable device and a sensor; performing cleaning, denoising and feature extraction on the multi-modal physiological data by using a data preprocessing algorithm; a personalized digital acupuncture model is established, and the physical condition and acupoint sensitivity of a patient are dynamically evaluated; adjusting acupuncture output parameters, control frequency, pulse width and current intensity according to real-time feedback of a patient by adopting a self-adaptive fuzzy control algorithm through the obtained personalized digital acupuncture model; multi-channel biofeedback equipment including EEG, EMG and ECG is integrated, and instant response of a patient is monitored; through a closed-loop control algorithm, biological feedback data are input into the control model in real time, and dynamic adjustment of acupuncture and moxibustion parameters is controlled; a deep reinforcement learning algorithm is introduced into acupuncture therapy.

The invention discloses an acupuncture treatment effect real-time evaluation system based on a brain-computer interface technology, and belongs to the technical field of acupuncture treatment effect evaluation, and the acupuncture treatment effect real-time evaluation system comprises a brain-computer data collection module, an acupuncture data acquisition module, a treatment effect real-time evaluation module, a patient portrait generation module and a long-time treatment effect comprehensive evaluation module, comprising an electroencephalogram sensor which collects electroencephalogram signals of a patient before treatment and in the treatment process based on a non-invasive brain-computer interface technology and transmits the electroencephalogram signals to a follow-up module, and the acupuncture data acquisition module comprises a high-definition camera which is used for collecting actions of a doctor in the treatment process and judging acupuncture points and acupuncture depth of the current patient in the treatment process. According to the acupuncture and moxibustion treatment effect real-time evaluation system based on the brain-computer interface technology, by combining the brain-computer interface technology and acupuncture and moxibustion treatment characteristics, an acupuncture and moxibustion effect real-time evaluation scheme is established based on individual differences of patients, so that the accuracy and effectiveness of acupuncture and moxibustion treatment are improved.

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 field of hot compress devices, in particular to an essential oil hot compress device for acupuncture assistance, which comprises a hot compress strap and a control device, the hot compress strap comprises an elastic base layer, a plurality of hot compress areas are arranged on the elastic base layer, electric heating belts are arranged in the hot compress areas in a penetrating manner, and the electric heating belts are laid in the plurality of hot compress areas; a plurality of mounting grooves are formed in the hot compress area, liquid separation rows are mounted in the mounting grooves, a plurality of oil applying cloth belts are detachably mounted on the liquid separation rows, the oil applying cloth belts are in hollow strip shapes, a plurality of mounting holes are formed in the liquid separation rows, and one-way spray pipes matched with the mounting holes are mounted on the oil applying cloth belts; a breathable skin-friendly layer is connected between the multiple oil applying cloth belts, and an elastic filling layer wrapping the oil applying cloth belts is arranged between the breathable skin-friendly layer and the elastic base layer. Acupuncture therapy and aromatherapy are combined, essential oil hot compress is carried out on specified acupuncture points corresponding to acupuncture therapy, and essential oil is controllably added in the hot compress process.

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 field of medical informatization, in particular to a multifunctional acupuncture point training simulation system and an application method thereof. Simulation tissue, force feedback, an acupoint simulation database and an intelligent evaluation technology are fused, and a vivid acupuncture training environment is created. The system simulates human tissues layer by layer, accurately collects acupuncture pressure and resistance, feeds back force feeling in real time, intelligently evaluates acupuncture performance in combination with acupuncture point characteristic data, and generates a detailed evaluation report. The virtual reality display module visually displays the acupuncture process and provides all-around feedback information. According to the innovative design, the acupuncture training effect and efficiency are remarkably improved, a safe and efficient learning platform is created for students, the modernization and standardization process of acupuncture education is promoted, and new power is injected for traditional medical inheritance and development.

The invention provides a control method and system for electronic acupuncture equipment, and the method comprises the steps: obtaining the symptoms of a user, and recommending a matched acupoint for the user based on a symptom-acupoint database; the electronic acupuncture device scans a target area where the matched acupoint is located, skin resistance distribution and an infrared thermal image of the target area are obtained, the acupoint matching degree is calculated through a probability model, and the acupoint is positioned based on the acupoint matching degree; and monitoring whether the scanning area of the electronic acupuncture device is aligned with the recommended acupuncture point or not in real time, outputting current stimulation by the electronic acupuncture device when the scanning area is monitored to be stopped, and adjusting the output current according to the symptom of the user after the user is stimulated. By means of the method and the corresponding system, the user can be assisted in accurately positioning the acupuncture points, the stimulation parameters can be dynamically adjusted according to feedback information obtained after acupuncture and moxibustion are conducted on the user, and the optimal curative effect is kept.

The invention discloses an acupoint recognition system based on a multi-modal digital twinning technology, which comprises a multi-modal data acquisition module, a multi-modal data transmission module, a multi-modal data processing module, a digital twinning construction module, an acupoint state and positioning prediction network, a result presentation module and a multi-modal data acquisition module integrated high-performance sensor group, a high-precision clock synchronization system is connected, and acupoint and human body data are acquired in all directions by utilizing a space calibration frame; the data transmission module integrates multiple transmission modes and supports flexible switching and cooperation; the data processing module runs in a special customized RISC-V architecture processor and performs preprocessing, conversion, feature extraction, fusion and dimension reduction on the data; the digital twinning construction module constructs an acupoint physiological and pathological state digital twinning model according to the processed data; the acupuncture point state and positioning prediction network module operates an algorithm in the NPU processor, and accurately predicts the state and position of the acupuncture point according to the human body data; and the result display module displays related information on a human-computer interaction interface.

The utility model discloses an acupuncture and moxibustion boosting device, particularly relates to the technical field of medical instruments, and solves the technical problems that an insertion sheet needs to be pulled out in advance when an acupuncture point is propped in the process of an existing sleeve needle feeding method, and the use is inconvenient. The device comprises a sleeve, the inner wall of the sleeve is in sliding connection with a pushing rod, a plurality of containing grooves are formed in the inner wall of the sleeve in a surrounding mode in the direction away from the pushing rod, an arc-shaped protruding block is in sliding connection with the interior of each containing groove, and the arc-shaped face of each arc-shaped protruding block faces the direction close to the pushing rod. The arc-shaped protruding block is connected with the containing groove through a first compression spring. According to the device, when the sleeve abuts against the acupuncture point, the insertion piece does not need to be pulled out in advance, and use is convenient and fast.

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 technical field of automatic acupuncture and moxibustion, in particular to an intelligent acupuncture and moxibustion mechanical arm precise positioning and needle moving method and system.The method comprises the steps that an acupuncture and moxibustion mechanical arm collects posture visual data through a preset multi-mode visual sensor, and analyzes personnel posture image change features corresponding to the posture visual data; when the personnel posture image change feature is the same as the preset posture adjustment feature, performing analysis based on the posture visual data to obtain personnel body surface feature point data; body surface feature point displacement vectors are calculated according to the body surface feature point data, and dynamic acupuncture point coordinate positions are obtained according to preset reference acupuncture point coordinate fusion; and continuously updating the acupuncture points based on the dynamic point coordinate positions, and adjusting the contact force between a needling instrument and a human body according to a preset self-adaptive micro-motion flexible contact force adjusting strategy when the personnel micro-moves. The acupuncture mechanical arm has the advantages that the acupuncture point identification accuracy of the acupuncture mechanical arm during posture adjustment of the acupuncture personnel is improved, and the acupuncture effect is improved.

The invention relates to the technical field of medical informatics, in particular to an acupuncture positioning system based on computer vision. The system comprises a memory and a processor, and the processor executes a computer program stored in the memory to realize the following steps: acquiring a depth image of the back of a patient, performing key point detection on the depth image, correcting the coordinates of the spine and the acupuncture points on the two sides of the patient according to the position difference between the back vertebrae of the patient and the standard back vertebrae of the human body; determining a posture difference factor by combining the position difference between the position of each key point in the depth image and the position of the key point in the depth image of the standard human body back and the influence weight of each key point on each acupuncture point; obtaining an acupoint correction coefficient according to the change probability and the posture difference factor of the acupoint positions in different types of crowds; and correcting coordinates of acupuncture points at other positions except the spine and the two sides of the back of the patient by using the acupuncture point correction coefficient. According to the invention, the accuracy of acupoint positioning is improved.

The invention provides a force control method and device for massage AI navigation rehabilitation equipment. The problem that flexible adjustment and real-time dynamic adjustment cannot be achieved through an existing force control mode for massage AI navigation rehabilitation equipment is effectively solved. The method comprises the following steps: visually identifying acupuncture points on the back of a user, and determining massage track points through the acupuncture points; generating coordinate sites on the basis of the acupuncture points and the massage track points, and setting massage parameters for the user on the basis of the coordinate sites; the mechanical arm is controlled to move according to the moving route, the massage head is controlled to massage the user, and the real-time massage force applied to the user by the massage head is detected in real time; and calculating the real-time massage strength based on multiple dimensions to obtain corresponding adjustment data, and performing flexible adjustment on the massage strength of the massage head and the mechanical arm based on the adjustment data until the massage time ends.

The invention relates to the technical field of medical teaching aids, and provides an acupoint acupuncture manipulation auxiliary training system special for bone fracture rehabilitation, which comprises the following steps: acquiring acupuncture depths and change angles of a plurality of detection time periods under multiple acupuncture; analyzing the variation difference relationship of the acupuncture depths of adjacent detection time periods, and dividing a plurality of segmentation time periods; based on the variation trend and the variation amplitude of the acupuncture depth in each segmentation time period, quantifying the force application unbalance degree of each acupuncture; analyzing the change relation of the change angle along with the change of the detection time period when the needle is inserted and after the needle is stopped in the needling process, and determining the out-of-control degree of the angle of each needling; in combination with the force application unbalance degree and the needling depth change difference between needle insertion starting and needle insertion stopping in the needling process, the mold deformation degree of each time of needling is obtained; and the suggested needle application depth of subsequent needling is determined, and auxiliary prompting is carried out. The invention aims to solve the problem that the non-uniform mold material affects the judgment of the uniformity of needle applying force by students.

The invention relates to the technical field of acupuncture point recommendation, in particular to a clinical acupuncture assistance method and system based on a traditional Chinese medicine knowledge graph, and the method comprises the steps: obtaining a disease type corresponding to a to-be-detected patient; screening out each matching scheme of the target disease type and an acupoint connected with each target scheme from the target knowledge graph; the target knowledge graph acquisition method comprises the following steps: determining a curative effect matching degree and a practical matching degree between each historical disease type and each reference scheme; screening out a matching scheme of each historical disease type; and connecting each historical disease type with the matching scheme thereof, and connecting the acupoints in the matching acupoint combination corresponding to each historical disease type with the historical acupuncture scheme to which the acupoints belong, so as to form a target knowledge graph. According to the invention, the appropriate acupoint combination is adaptively recommended for the disease type corresponding to the to-be-detected patient, so that the traditional Chinese medicine can be assisted to carry out final acupoint selection, and the reasonability of acupuncture acupoint selection is improved.

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 an ACU-YOLO deep learning method for rapid human body acupoint recognition, and belongs to the technical field of human body acupoint detection, and the method comprises the following steps: S1, collecting a human body chest acupoint data set; s2, preprocessing and labeling the human body front chest acupoint data set in the step S1, and then dividing the human body front chest acupoint data set into a training set for training, a verification set for verification and a test set for testing; s3, a YOLOv10 network structure model is established, and a YOLOv10 network framework is improved, so that an ACU-YOLO network structure model can be obtained; s4, training the ACU-YOLO network structure model in the step S3 by using the training set in the step S2 to obtain a human chest acupoint detection model; and S5, testing the test set by using the human chest acupoint detection model in the step S4. According to the invention, the detection speed can be effectively improved, and higher-degree accuracy of human chest acupuncture points can be realized.

The present invention discloses an AI-based automatic acupoint recognition and positioning system and method, the system comprises an AI server, an image acquisition device, a body shape recognition and comparison module, an AI acupoint recognition module and an acupoint projection module; the AI ​​server is used to establish at least one sample model according to a pre-collected three-dimensional image of a human body shape, wherein the three-dimensional image of the human body shape contains acupoint marking points of various parts of the human body; the image acquisition device is used to collect a three-dimensional target image of the patient's body shape when the positions of various acupoints on the patient's body need to be positioned; the body shape recognition and comparison module is used to compare the three-dimensional target image with multiple three-dimensional images of human body shapes of at least one sample model in the AI ​​server to determine whether the three-dimensional target image can match the size ratio of any three-dimensional image of human body shape; the AI ​​acupoint recognition module uses the matched three-dimensional image of human body shape as a reference to determine the positions of acupoints of various parts of the patient's body; the acupoint projection module is used to project the acupoint marking points of various parts of the human body displayed by the matched three-dimensional image of human body shape to various positions on the patient's body skin surface. Effect: AI technology can quickly and accurately locate acupoints, can adapt to different groups of people, can realize the visualization and intuition of acupoint positioning, and can more easily help people who need to quickly and accurately locate acupoints.

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 auxiliary stroke rehabilitation method and device based on a multi-source physiological signal wearable device. The method comprises the steps that the pulse waveform variation rate and sublingual vein feature parameters of a subject are monitored through a self-powered five-hidden monitoring wrist strap; dynamically evaluating the internal organ imbalance index of the subject according to the pulse waveform variation rate and the sublingual vein characteristic parameters; generating personalized rehabilitation adjustment parameters according to the internal organ imbalance index of the subject; synchronously acquiring an electroencephalogram signal of a subject and a surface electromyogram signal of a target muscle, and generating an acupoint activation time sequence map of preset hand actions; the acupoint activation time sequence map is optimized according to the personalized rehabilitation adjustment parameters so as to adjust acupoint selection, stimulation intensity and stimulation time sequence; and presenting a built-in foot yangming stomach meridian virtual acupuncture scene to the subject through the VR guide instrument. According to the apoplexy rehabilitation method, electroencephalogram and myoelectricity cooperative decoding, personalized parameter adjustment, VR and a viscera imbalance traditional Chinese medicine diagnosis method are integrated into a rehabilitation scheme, and the apoplexy rehabilitation effect is improved.

The invention discloses an eye frequency spectrum far infrared atomizable massage instrument in the technical field of eye nursing equipment, the structure is reasonable, a water tank lower cover, a water tank upper cover and a waterproof cover are spliced into a whole and are installed in a middle frame, a nanoscale atomization technology is adopted, and after a proper amount of frequency spectrum water, mineral water or specified liquid is injected into the water tank, the water tank upper cover and the waterproof cover are sealed, the massage instrument can be used for massage. A water tank silica gel cover is fastened, the atomization function is started, a user can enjoy the new moisturizing experience brought by nanoscale atomization to the two eyes, a plurality of silica gel massage heads are installed in installation holes B in a middle frame, the silica gel massage heads have the vibration massage effect, the silica gel massage heads are correspondingly arranged at the acupuncture points of the eyes, and therefore the user can enjoy the new moisturizing experience. Meanwhile, the silica gel massage head has far infrared frequency spectrum and hot compress effects, the silica gel massage head is matched with the atomization function, the multifunctional effect that atomization, acupoint massage and hot compress are combined is achieved, and the use effect and the user experience of the eye frequency spectrum far infrared atomization massage instrument are effectively improved.

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.