721 results about "Acupuncture point" patented technology

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 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 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 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 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 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 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.

The invention relates to an automobile massage seat system, a control method and an automobile, and belongs to the technical field of automobile chairs, the automobile massage seat system comprises a pressure detection unit arranged on a seat and used for collecting pressure data to generate a continuous pressure distribution image of a contact part of a user and the seat; the acupuncture point determining unit is used for calculating the coordinate position of the target acupuncture point in a seat coordinate system based on the continuous pressure distribution image by combining an anatomical mark positioning and pressure feature matching method; and the massage execution unit is arranged in the seat and is used for massaging the user. The actual contact form of the user and the seat can be dynamically recognized based on the collected pressure distribution image, individualized precise positioning of acupuncture point coordinates is achieved through fusion analysis of anatomical marks and pressure features, the massage execution unit can adjust the massage position in real time according to the positioned coordinates, and the massage effect is improved. Therefore, it is ensured that the massage head accurately acts on the target acupuncture point, and the massage effectiveness and overall comfort of a user are improved.

The invention relates to the technical field of image analysis, in particular to a traditional Chinese medicine acupuncture positioning method and system based on image processing, and the method comprises the following steps: collecting a posture image, analyzing the deviation and motion state of an included angle, screening a bone segment with a stable structure, mapping acupuncture point anchoring input, recognizing the sudden change of a proportion, and adjusting the coordinates of the bone segment. And after affine errors are compared, graph mapping information is obtained, and acupoint path output annotation records are segmented. According to the method, by analyzing the posture deviation and the bone chain dynamic characteristics, the judgment capacity for the motion state is enhanced, the stable structure is screened through the bone segment included angle change trend, the acupoint anchoring precision is improved, the accuracy of bone segment structure fitting is optimized by combining the proportion trend and mutation point recognition, and the accuracy of bone segment structure fitting is improved by adopting bidirectional mapping error comparison and type classification. According to the method, the adaptability of graph coordinates and template matching is improved, continuous segmentation and structure recognition of path paragraphs are achieved through sliding window merging and label labeling, acupuncture point positioning is more coherent, and the structure is clear.

The invention discloses an acupuncture large model dialectical method and conditioning optimization system fusing a dynamic knowledge graph, and the method comprises the steps: obtaining first knowledge data of the acupuncture field, carrying out the entity extraction, relation extraction and attribute extraction of the first knowledge data, and constructing an initial knowledge graph of the acupuncture field; according to the dynamic change of acupuncture clinical practice, an initial knowledge graph is updated in real time to form a dynamic knowledge graph, clinical features of a patient at multiple different time points are extracted to form a clinical feature time sequence, and time sequence embedded features are generated according to the clinical feature time sequence. Performing semantic representation learning on the dynamic knowledge graph based on a graph attention network to obtain node feature information of the dynamic knowledge graph; according to the method, the time sequence embedded features are fused and enhanced to obtain fused features, and the acupuncture treatment scheme of the patient is differentiated by using the node feature information and the fused features based on a reinforcement learning algorithm, so that the flexibility and individuation level of acupuncture point selection are improved.

The invention discloses an acupuncture robot meridian point positioning system based on digital twinning, and belongs to the technical field of acupuncture, and the system comprises a data acquisition digital modeling module which is used for obtaining body surface visual data of a patient, reconstructing a 3D digital model of the patient, and creating an initial digital twinning model of the patient; the treatment planning simulation rehearsal module is used for performing diagnosis and acupuncture treatment scheme design by a doctor and simulating and rehearsal the whole acupuncture process; and the virtual-real synchronous accurate positioning module is used for controlling the acupuncture robot to move above the target acupuncture point, tracking the tiny movement of the patient in real time, synchronously updating the patient digital twin model and the target position of the acupuncture robot, and realizing the dynamic tracking and accurate positioning of the meridian acupuncture point. The problem that the acupuncture treatment efficiency of a patient is low due to the fact that accurate positioning of meridian points of the patient cannot be achieved based on digital twinning in the prior art is solved. Precise positioning of the meridian points of the patient can be achieved based on digital twinning, and the acupuncture treatment efficiency of the patient can be improved.

The invention discloses a real-time acupuncture point mapping method based on a bone degree deflection method and a human body posture key point model, and relates to the technical field of traditional Chinese medicine digitization. According to the real-time acupuncture point mapping method based on the bone degree discount method and the human body posture key point model, acupuncture point coordinates are calculated by combining the standard bone degree discount proportion with the objective distance between the human body posture key points, traditional empirical positioning is converted into datamation and standardization calculation, personal errors are reduced, BMI parameters are introduced to formulate a BMI interval correction table, and the real-time acupuncture point mapping accuracy is improved. The three-dimensional coordinates of the acupoints are accurately corrected through the coordinate correction coefficient, it is ensured that acupoint mapping of users of different body types is highly matched with the actual subcutaneous position, the purpose of improving the acupoint positioning effect is achieved, a corresponding acupoint mapping template is selected according to the judgment result of the human body orientation, a real-time AR picture is generated in an AR superposition rendering mode, and the user experience is improved. And real-time mapping of human body acupuncture points is realized.

The invention relates to the technical field of augmented reality image processing, and discloses a traditional Chinese medicine acupuncture auxiliary positioning system based on an AR technology, which comprises a body surface anatomical feature intelligent extraction module, a personalized meridian model adaptive deformation module, a dynamic virtual-real registration tracking module and an AR visual rendering and quality closed loop module, according to the method, a thin-plate spline transformation algorithm is adopted to elastically deform a standard meridian model to the body surface of an individual, the individualized cun unit length is dynamically calculated in combination with a bone degree cun method, virtual-real registration is optimized through an iterative nearest point algorithm, movement and breathing deviation of a patient are compensated, the positioning quality is evaluated through a confidence coefficient thermodynamic diagram, closed-loop reacquisition optimization is driven, and the positioning accuracy is improved. Accurate AR-assisted positioning of acupuncture points of the whole body is realized.

The invention discloses an acupoint recognition and positioning method and system, a moxibustion robot and a storage medium. The method comprises the steps of obtaining multi-modal data of a human body to be subjected to physiotherapy; carrying out preprocessing on the multi-modal data; constructing a multi-modal feature fusion model, and generating an enhanced acupoint feature map; constructing a human body meridian-acupoint incidence relation matrix on the basis of the enhanced acupoint feature map in combination with a preset human body meridian-acupoint incidence relation matrix; dynamically compensating the candidate area, calculating the real-time offset of the acupuncture point based on the body surface micro-motion data, and correcting the depth coordinate of the acupuncture point in combination with the body surface elastic modulus data to obtain the accurate three-dimensional coordinate of the acupuncture point to be positioned; on the basis of the precise three-dimensional coordinates, blood vessels and nerve dense areas around the acupuncture points are recognized through an improved Harris corner detection algorithm, and a safe moxibustion applying path is generated; meanwhile, the confidence value of the precise three-dimensional coordinate is calculated. According to the method, high-precision, self-adaptive, all-position compatible, safe and controllable acupuncture point recognition positioning is realized.

The present invention relates to a comb specifically designed to stimulate the Lao Gong (PC-8) acupressure point in the palm of the hand. This targeted pressure application leverages the gate control theory of pain to naturally reduce perceived pain and anxiety during high-stress events, including childbirth. The comb comprises: a comb body having a top; a series of ergonomic ridges positioned along the upper contour of the comb shaped to cradle the user's fingers, promoting a stable grip and precise alignment over the palm for consistent acupressure engagement; an edge of the comb body comprising two sides and a central portion, and a plurality of teeth extending from the central portion of the edge of the comb body, wherein the teeth of the comb are placed at angle configured to hit acupressure points on a hand of a user.

The invention discloses a physiotherapy equipment control device and method based on multi-dimensional data analysis, and relates to the technical field of data processing, and the device comprises the steps: obtaining the symptom description information of a user; establishing index data, and extracting key features from a preset knowledge base by using the index data to obtain physiotherapy information; according to the physiotherapy acupoints and the physiotherapy parameters, acupoint and meridian physiotherapy path identification is carried out, and positioning identification features and tolerance identification scales of the acupoints and the meridians are marked; and carrying out interactive projection analysis on the positioning identification features of the acupuncture points and the meridians and collaterals and the tolerance identification scales through a feature matrix to generate control parameters of the physiotherapy equipment. The technical problems that in the prior art, physiotherapy equipment cannot conduct personalized accurate control according to the symptoms of a user, acupoint and meridian recognition is inaccurate, physiotherapy paths and control strategies lack adaptability, and consequently the accuracy of the physiotherapy effect and the user experience are poor are solved. The technical effect of improving the accuracy of the physical therapy effect and the user experience is achieved.

The invention provides a human body acupoint searching and positioning method based on a digital traditional Chinese medicine large-size model, which comprises the following steps of: establishing a standard meridian template by taking national standard meridian and acupoint positioning as a reference, and mapping the template to a parameterized three-dimensional human body grid to form a standard digital traditional Chinese medicine large-size model; the method comprises the following steps: collecting body surface point cloud data of an acupuncture part of a patient, carrying out denoising, hole filling and down-sampling preprocessing on the point cloud data, and then carrying out non-rigid registration on the point cloud data and a standard digital traditional Chinese medicine human big model to obtain an individualized meridian-acupoint model consistent with the current posture and body type of the patient; marking anatomical mark points in the individualized meridian-acupoint model as reference feature points, and establishing a relative position function relationship between the reference feature points and a target acupoint according to a traditional Chinese medicine bone degree division method; a real-time image of the body surface of the patient is obtained through the visual sensing unit, the actual pixel coordinates of the reference feature points are recognized, and the actual three-dimensional coordinates of the target acupuncture point on the body surface of the patient are calculated and output in combination with the relative position function relation.

The invention provides a method and system for evaluating the instant curative effect of acupuncture head acupoints on cerebral stroke cognitive impairment based on electroencephalogram signals, and the method comprises the steps: collecting the electroencephalogram signals before, during and after acupuncture in stages, and synchronously combining a MoCA / MMSE scale and a cognitive task test to obtain subjective curative effect data; an insulating acupuncture needle is adopted to reduce interference on electroencephalogram signals, and 4-8-conduction portable dry electrode electroencephalogram equipment is matched to collect signals in an area avoiding acupuncture points of the head, so that acupuncture operation and electroencephalogram collection are ensured not to influence each other. A condition vector is generated by using acupuncture point parameters and acupuncture manipulation, and a space-time Transform-GNN model is driven to dynamically focus alpha / theta / beta frequency band time sequence characteristics and a brain network connection mode of cognitive related brain regions such as a prefrontal lobe, a parietal lobe and a temporal lobe. According to the method, a multi-modal feature vector containing electroencephalogram frequency domain features, time domain components and clinical scale scores is constructed through an electroencephalogram-acupoint-curative effect triple data training model of at least 100 patients, and an obvious / effective / invalid level is output.

The invention discloses a child massage acupoint recognition method and system based on artificial intelligence, and relates to the technical field of computer vision, and the method comprises the steps: collecting child massage data, and carrying out the preprocessing; inputting the video stream image data into a pre-trained child posture estimation model, and outputting joint point coordinates; identifying a limb movement track of the child, and outputting an optimized joint point coordinate set; based on the optimized joint point coordinate set, according to a traditional Chinese medicine acupoint mapping rule, performing rule mapping on the child target acupoints, and outputting massage acupoint coordinates; constructing an acupoint topological relation graph according to the massage acupoint coordinates and the optimized joint point coordinate set, and outputting a high-precision acupoint coordinate set; and superposing the high-precision acupoint coordinate set after the three-dimensional coordinate conversion and the acupoint action data into video stream image data to generate an acupoint visual interface. According to the invention, real-time accurate positioning and self-adaptive calibration of massage acupoints of children are realized through double-mechanism cooperation of dynamic motion compensation and traditional Chinese medicine topological optimization.

The invention relates to the technical field of acupoint recognition, and discloses an acupoint recognition method and system based on bone degree cun, and the method comprises the following steps: S1, multi-modal data collection: synchronously obtaining a body surface three-dimensional point cloud, a bioelectrical impedance spectrum and bone CT data: S2, mark point feature extraction: recognizing bone mark points based on a deep learning model; s3, constructing a dynamic bone degree model: establishing a bone degree relation matrix among mark points, and updating individual bone degree coefficients; s4, space-time calibration and data fusion: synchronizing multi-source data timestamps, and unifying a coordinate system; S5, acupoint coordinate calculation: calculating acupoint three-dimensional coordinates under a bone degree coordinate system. According to the method, the body surface three-dimensional point cloud, the bioelectrical impedance spectrum and the skeleton CT data are acquired through the multi-modal data, and a multi-source data space-time reference is unified by combining space-time calibration and data fusion, so that the problems of single data and large space-time deviation in acupuncture point recognition are solved, and the effect of providing a multi-dimensional accurate data basis for acupuncture point positioning is achieved.

The invention provides a machine learning-based acupuncture combined transcranial magnetic stimulation scheme selection method, which comprises the following steps of: performing acupuncture on an object, recording acupuncture data, and obtaining acupuncture text characteristics; the acupuncture data comprises acupuncture object data and acupuncture operation data, the acupuncture object data comprises gender, age, disease name, symptom, medical history and living habit, and the acupuncture operation data comprises body position, acupuncture point, acupuncture sequence, needle inserting, needle moving and duration; performing transcranial magnetic stimulation on the needled object for multiple times to obtain transcranial magnetic stimulation data, the transcranial magnetic stimulation data including hot spot positioning, working parameters, process data and effect data, and obtaining transcranial magnetic stimulation features; establishing association between acupuncture text features and transcranial magnetic stimulation features, constructing a database storing multiple groups of acupuncture combined transcranial magnetic stimulation schemes, and selecting a layered random forest regression model for training; and selecting an acupuncture combined transcranial magnetic stimulation scheme from the database according to actual data by using a reverse prediction method.

The present invention discloses an acupressure device. The device comprises a pair of arms, each with a first end portion, a second end portion, and an arm portion comprising concave and convex portions. A fulcrum pivotally connects the arms at their convex portions, enabling outward and inward movement. A spring, positioned between the second end portions, maintains the arms in a closed position when relaxed and allows outward movement to an open position when activated. A pressure band encircles the arms to apply inward pressure. The band's position adjusts to increase pressure when fixed over the concave portion, decrease pressure when fixed over the convex portion, or maintain neutral pressure at intermediate positions. The first end portion incorporates a contact pad assembly, and the second end forms a handle for activating the spring. The pressure band is adjustable after placement to regulate consistent therapeutic pressure on a target acupressure point.

The invention relates to the technical field of image sensing, general image recognition and feature positioning under computer vision, and discloses an acupuncture point positioning method and system based on artificial intelligence, and the method comprises the steps: obtaining a non-rigid target section image through an image collection module; the key point identification module determines topological anchor points at two ends of the section; the reference construction module establishes a structure reference vector; a deflection calculation module extracts surface texture feature points, obtains a high-frequency component and a low-frequency component through multi-scale frequency domain decomposition, and determines a spatial deflection parameter based on the gradient of the energy distribution ratio of the high-frequency component and the low-frequency component; the proportion compensation module corrects a target distribution proportion coefficient; according to the method, the pose is inversed by using the scale invariance between the frequency domain components, the decoupling of the anatomical positioning logic and the pixel space is realized, and the non-linear interference of the non-uniformity of the biological surface and the dynamic environment illumination on the positioning precision is eliminated.

The invention relates to a false detection meridian recovery method, device and equipment based on spatial topology and position reasoning, and the method comprises the steps: generating a false detection recovery acupoint coordinate through a known meridian acupoint and a symmetrical meridian acupoint according to a symmetry constraint relation of human meridian acupoints, and generating a false detection recovery acupoint coordinate based on a logic topology constraint relation of the human meridian acupoints. The method comprises the following steps: correcting X-axis coordinates of falsely detected and repaired acupuncture points through inherent trend and naming sequence of human meridians and collaterals, correcting Y-axis coordinates of the falsely detected and repaired acupuncture points according to a spatial topology constraint relation of the human meridians and collaterals and acupuncture points by determining an up-down position relation of the meridians and collaterals under a human body posture and through a relative position relation under a specific scene, and correcting the false detected and repaired acupuncture points according to the spatial topology constraint relation. The positions of the acupuncture points are estimated through the movement distance of the bed body, and the false detection of the acupuncture points is discriminated and recovered. According to the method, the repairing coordinates are generated through the features of the acupuncture points and the symmetric points, cooperative correction of the axis coordinates is achieved through the logical topology and the spatial topology of the meridians and collaterals, and discrimination and recovery of long-section false detection are achieved through the position of the target point.

Described herein are a method and a device for noninvasive stimulation of the Vagus nerve. The device is a multichannel device configured to provide non-invasive alternating stimulation of the left and right ear branches of the Vagus nerve as well as acupuncture points of the earlobes using various waveforms. Advantageously, the waveforms are designed to prevent acquired tolerance of the Vagus nerve stimulation thereby creating more effective treatments for a patient.

1. Name of the product in this design: Low-frequency pulse therapy device. 2. Purpose of this design: For massaging acupoints or painful areas of the human body. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model relates to an abdominal acupoint positioning and marking device which comprises a positioner and a point marking pen, the positioner is provided with a datum point hole site, a first marking hole capable of moving in the Y-axis direction with the datum point hole site as the original point and a second marking hole capable of moving in the X-axis direction; a sliding groove is formed in the tail end of the marking pen in the length direction, a sliding plate is arranged in the sliding groove in a sliding mode, a mounting block is arranged at the outer end of the sliding plate, a containing space for containing a finger can be formed between the mounting block and the tail end of the marking pen, and a range finder is arranged at the tail end of the marking pen. Therefore, the width of the finger in the accommodating space is measured. According to the utility model, the range finder, the sliding plate and the mounting part are all arranged on the marking pen, so that a user can measure the finger width by using the marking pen anytime and anywhere, the trouble of using additional measuring tools is saved, and the measuring convenience is remarkably improved; after the finger width is measured, the same point marking pen can be directly used for marking acupuncture points, and tools do not need to be replaced.