136 results about "Pulse diagnosis" patented technology

The invention relates to the field of traditional Chinese medicine diagnosis, and discloses a traditional Chinese medicine intelligent diagnosis system based on multi-source data fusion and an AI technology, and the system comprises a tongue picture collection and classification unit which is used for collecting tongue picture data of a patient through imaging equipment, carrying out the feature extraction of the tongue picture data, and obtaining a tongue picture feature data set; performing tongue picture pathological mode classification on the tongue picture feature data set based on a deep convolutional neural network to obtain tongue diagnosis identification result data; and the face diagnosis feature correlation analysis unit is used for inputting the tongue diagnosis identification result data into a multi-modal data fusion engine and carrying out face diagnosis pathological feature correlation analysis based on a graph attention network to obtain face diagnosis identification result data. The deep semantic understanding is realized by introducing a plurality of data acquisition modes such as three-dimensional imaging, thermal imaging, micro-expression recognition, spectral information and pulse condition harmonic analysis and combining advanced models such as a graph neural network, U-Net and Bi-LSTM.

1. The name of the design product: pulse diagnosis instrument. 2. The use of the design product: for hand auxiliary treatment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses a pulse diagnosis training device based on the Internet of Things and a pulse condition simulation method, and relates to the crossing field of traditional Chinese medicine education and the Internet of Things technology.The pulse diagnosis training device is composed of pulse sensor hardware and a pulse sensing APP, wireless connection and instruction interaction are achieved through an ESP8266 chip, a pulse sensor adopts three sets of independent amplitude-adjustable motors to simulate pulse of the cun, guan and chi, and the pulse sensor hardware is connected with the pulse sensing APP; in combination with PID closed-loop control and a waveform interpolation algorithm, the bit, number, shape and potential characteristics of 28 kinds of standard pulse conditions are precisely restored; the pulse awareness APP provides staged learning, random testing and learning data management functions to form a complete learning closed loop of theoretical learning-simulation practice-effect evaluation; the pulse diagnosis training device has the advantages of being light in weight, low in cost and convenient to operate, pulse diagnosis learning and practice requirements of traditional Chinese medicine students, enthusiasts and researchers can be met, the market blank of personal pulse diagnosis training equipment is filled, and the pulse diagnosis learning efficiency and accuracy are remarkably improved.

The invention discloses a traditional Chinese medicine pulse diagnosis instrument based on multi-modal analysis and a detection method thereof.The device is composed of a shell, a master controller and three sets of pulse diagnosis components used for the cun pulse position, the guan pulse position and the chi pulse position, and each pulse diagnosis component integrates an air path sensing module, an optical sensing module and a pressure sensing module; through cooperative work of the pneumatic piston, the liquid annular bag, the thin film pressure sensor and the optical sensor, accurate collection of pulse signals is completed. The system has the automatic locating and fitting function of three-dimensional linkage of the y axis, the theta axis and the z axis, intelligent locating and layered pressurization of wrist pulse positions can be achieved, and the pulse taking manipulation of'lifting, pressing and searching 'of traditional Chinese medicine is simulated. The device synchronously obtains multi-mode signals such as pulse position, pulse rate, pulse law, pulse shape and pulse potential, and after general control filtering, correction and fusion algorithm processing, a standardized feature matrix is formed and input into a multi-mode fusion model for pulse condition classification and automatic dialectical analysis. According to the device, a visual analysis result is generated based on pulse condition characteristics in combination with eight-line syndrome differentiation and viscera syndrome differentiation.

The invention discloses a multifunctional spray-seeding device for mining area slope vegetation recovery. The multifunctional spray-seeding device comprises a spray-seeding main loop assembly, a circulating degassing steady-state assembly and a pulse diagnosis and active damping control assembly. The spray-seeding main loop assembly is used for continuously conveying spray-seeding slurry to the spray head from the mixing end and forming controlled spraying; the circulating degassing steady-state assembly is used for establishing reflux circulation before spraying and during spraying interval and realizing gas stripping and slurry steady-state maintenance; the pulse diagnosis and active damping control assembly is used for carrying out pulse response examination on the loop state before spraying is started and providing adjustable damping and switching curve control in the spraying starting process. According to the device, a closed loop mechanism of a controllable micro-pulse bypass valve and near-far end double-pressure response examination is introduced into a spray-seeding main loop; and the compressibility and the equivalent friction resistance of the air bag are recognized, a soft start switching curve and an active damping strategy are generated in a self-adaptive mode, and stable starting and continuous and uniform spraying of the multi-highest-point long pipeline under frequent stopping and starting are achieved.

1. The name of the design product: air bag pulse diagnosis module (four diagnostic instrument). 2. The use of the design product: the design product is used for traditional Chinese medicine diagnosis operation. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The invention provides an artificial intelligence-based traditional Chinese medicine dialectical accurate marketing analysis system and method. According to the system, user health data is obtained through a pulse diagnosis instrument, a tongue picture recognition module, a user self-complaint module and other multi-source acquisition modules; performing multi-dimensional evidence chain fusion and cross validation on the meridian data, the tongue picture characteristics and the self-complaint text by utilizing the constructed traditional Chinese medicine knowledge graph, and generating a structured syndrome differentiation conclusion through an algorithm model; and finally, continuously optimizing the syndrome differentiation and recommendation model through a user feedback closed loop, so that objectiveness, standardization and intelligentization of traditional Chinese medicine syndrome differentiation are realized, the recommendation accuracy of health products and the user satisfaction degree are remarkably improved, and the method is suitable for popularization and application. Meanwhile, health data are converted into commercial insights through the unique marketing analysis function, a sustainable commercial mode closed loop is formed, and remarkable economic and social benefits are achieved.

The invention relates to the technical field of traditional Chinese medicine medical instruments and intelligent diagnosis, and discloses a portable pulse diagnosis auxiliary device based on feature acquisition, which comprises a main body shell, a base and a main control board are arranged in the main body shell, a three-channel servo array is mounted on the base, the three-channel servo array comprises three mutually independent servo modules, and the three servo modules are connected with the main control board. Each servo module comprises a driving motor, a displacement sensor and a homologous and co-located sensing head integrated with a piezoresistive sensor and a photoelectric volume pulse wave (PPG) sensor pair, and a pulse diagnosis logic system is constructed on the main control board; the pulse diagnosis logic system comprises a self-adaptive locating module, a data acquisition module, a diagnosis analysis module and a result output module. The pulse energy gradient algorithm is used for automatically locking the middle depth, the three-channel servo array is combined with the homologous and co-located sensing head to achieve multi-part multi-mode signal synchronous collection, and objectivity and accuracy of pulse diagnosis auxiliary diagnosis are improved.

The invention discloses a pulse condition measuring device based on pressure pulse waves and a classification method.The device comprises a pressure collecting module, a lead screw pressing control module, a signal preprocessing module and a microprocessor, the pressure collecting module is located below a lead screw, the lead screw pressing control module presses a wrist, and the signal preprocessing module is connected with the microprocessor; the pressure acquisition module obtains a pressure pulse wave signal, and the signal preprocessing module is used for filtering the pressure pulse wave signal, eliminating baseline drift and suppressing power frequency interference; and the microprocessor is used for carrying out pulse condition classification on the pressure pulse wave signals. Five pulse conditions calibrated in traditional Chinese medicine are used as labels, a VGG + BiLSTM method is adopted to carry out feature extraction on the pulse wave signals, and pulse condition classification is completed based on the extracted features. The pulse condition type of the testee can be quickly evaluated, the measurement accuracy is high, the operation is simple and convenient, and the working efficiency and the pulse diagnosis accuracy are improved.

The application discloses a kind of pulse diagnosis data real-time analysis processing method and system, it is related to pulse diagnosis data analysis technical field, the method includes: through intelligent wearable device, the blood vessel sensing signal of user is collected, and photoelectric pulse parameter sequence is obtained by processing;The photoelectric pulse parameter sequence is divided, and user tension rate identification processing is carried out, obtain multiple user tension rates;According to the multiple user tension rates, configure multiple anomaly identification layers, adopt multiple anomaly identification trees, carry out anomaly data identification to the photoelectric pulse parameter sequence, obtain multiple anomaly data sets;According to the multiple anomaly data sets, fusion obtains abnormal photoelectric pulse parameter, from the photoelectric pulse parameter sequence is deleted, and carries out pulse diagnosis data analysis.The present application solves the technical problem that the pulse diagnosis data recognition analysis is not accurate in the prior art.

The present disclosure provides a steerable and adjustable recorder pulse pillow for Traditional Chinese Medicine pulse diagnosis, and relates to the technical field of recorder pulse pillows. The steerable and adjustable recorder pulse pillow for Traditional Chinese Medicine pulse diagnosis comprises a main body, wherein a platform is installed right above the main body. The top surface of the platform is installed with a recording device. The bottom of the recording device is provided with a rotary disc. The rear end surface of the recording device is provided with an operating button. The rotary disc is fixedly connected with a micro-motor driving wheel inside the recording device. The micro-motor is electrically connected with a rotary knob of the recording device.

The embodiment of the invention relates to the technical field of pulse diagnosis, and discloses a pulse analysis method based on a pulse diagnosis instrument, which comprises the following steps: processing a pressure change signal within a set time to obtain an original pulse waveform signal associated with a user; performing high-frequency denoising processing on the first pulse frequency signal according to a set noise threshold value; acquiring all wavelet coefficients associated with the high-frequency detail signal, traversing all the wavelet coefficients, determining that the absolute value of the wavelet coefficient at a certain point is greater than the absolute value of the wavelet coefficient adjacent to the wavelet coefficient, and taking the wavelet coefficient as a signal abrupt change point; generating a corresponding pulse image of the user based on the pulse condition data of the user within a set time range; and inputting the obtained pulse condition graph of the user into a pre-constructed standard pulse condition model to determine a pulse condition type result of the user, and outputting the pulse condition type result of the user. According to the scheme provided by the embodiment of the invention, the user can conveniently, quickly and accurately know the pulse condition and the physique state of the user, and the use convenience is improved.

The invention provides a traditional Chinese medicine pulse diagnosis instrument based on artificial intelligence and a data analysis method thereof. The pressure detection mechanism comprises an air bag wrapping the to-be-detected part, an inflation part used for inflating the air bag to enable the air bag to pressurize the to-be-detected part of the user, a gas pressure sensor linked with the air bag and a flexible pressure sensor, and the pressure detection mechanism is used for applying different pressures to the to-be-detected part and collecting pulse information under the different pressures; the data acquisition module is used for converting the analog signal into a digital signal and preprocessing the digital signal; the signal processing module is used for carrying out segmentation, calibration, normalization and SG smoothing on the pulse waveform and extracting features; and the pulse condition analysis module is used for carrying out pulse condition recognition and classification on the quantization parameters by utilizing a machine learning algorithm. According to the method, pulse information under different pressures is collected and processed, and stable, accurate and lossless collection and quantitative analysis of pulse condition information are achieved through one-to-one mapping of characteristic values and traditional Chinese medicine conclusions.

1. The name of the design product: desktop tongue pulse diagnosis instrument. 2. The use of the design product: for detecting tongue pulse. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

1. The name of the design product: pulse diagnosis instrument. 2. The use of the design product: for pulse diagnosis measurement. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The utility model discloses a portable traditional Chinese medicine pulse diagnosis instrument structure which comprises a mainframe box, a radar transceiver assembled on the upper portion of one side of the mainframe box and a hand supporting table assembled on the lower portion of one side of the mainframe box, a controller is installed on the other side of the mainframe box, and a storage battery pack is installed in the mainframe box. A signal processing module, a wireless transmission module and a memory are sequentially mounted in the mainframe box above the storage battery pack from back to front; according to the portable traditional Chinese medicine pulse diagnosis instrument structure, the radar technology is adopted, pulse signals on the surface of a wrist can be accurately collected under the completely non-contact condition, errors caused by pressure and posture changes in traditional contact type pulse diagnosis are avoided, discomfort of a patient in the diagnosis and treatment process is reduced, and the portable traditional Chinese medicine pulse diagnosis instrument structure is particularly suitable for contact-sensitive groups and has good application prospects. By means of the movable protection mechanism, the device can be portable, meanwhile, the mainframe box, the radar transceiver and the hand supporting table can be disinfected, and the risk of cross infection is reduced through the non-contact design.

The invention discloses a pulse condition waveform feature extraction and classification method based on vision and artificial intelligence, and belongs to the technical field of medical diagnosis, and the method comprises the following steps: 1) pulse condition data collection; 2) data preprocessing; 3) feature extraction based on computer vision; 4) feature fusion and classification based on artificial intelligence; 5) evaluating and optimizing the model; by combining computer vision and a multi-modal signal processing technology, multi-dimensional features such as form, texture, time domain, frequency domain and dynamic change can be comprehensively extracted from pulse condition images and signals, essential features of pulse conditions are more accurately reflected, and comprehensive extraction of pulse condition features is realized; by constructing a deep learning model based on a Transform architecture and adopting an effective feature fusion and selection method, the accuracy and generalization ability of pulse condition classification are greatly improved, and powerful support is provided for objectification and digitization of traditional Chinese medicine pulse diagnosis.

The invention discloses a traditional Chinese and western medicine fusion data analysis system and method based on a multi-mode sensor, and belongs to the technical field of intelligent medical treatment. The system comprises: (1) a tongue diagnosis module, which collects tongue images through a multispectral camera (400-1000nm), and extracts HSV color features (resolution of 0.1 degree) and LBP texture features (radius of 3 pixels); the pulse diagnosis module (2) adopts a laser Doppler sensor (850nm) to obtain a radial artery signal, and extracts pulse position / pulse potential / pulse shape three-dimensional features (sample entropy lt, 1.2 represents chordwise astringent pulse) through wavelet transform; and (3) the data processing module inputs the tongue vein features, fasting blood glucose (blood glucose + / -0.3 mmol / L precision), C-reactive protein and other western medicine biochemical indexes into a fusion decision model, dynamically distributes traditional Chinese medicine and western medicine weights (for example, the traditional Chinese medicine weight is smaller than or equal to 40% when the C-reactive protein is larger than 10 mg / L) through a typhoid miscellaneous disease rule base and a random forest algorithm, and generates physical feature vectors for health state classification. Organic cooperation of traditional Chinese medicine physical sign quantitative analysis and western medicine evidence-based medicine is achieved, the early-stage diabetes screening accuracy rate is improved by 23.7% (compared with single-mode diagnosis), and the method is suitable for family health monitoring and traditional Chinese and western medicine combined diagnosis and treatment.

This invention discloses an intelligent analysis method for TCM pulse diagnosis data based on pattern recognition, comprising the following steps: collecting and aligning pulse waves of the left and right hands' cun, guan, and chi positions using the superficial-middle-deep palpation method to form a layered pulse position sampling sequence; performing periodic positioning and five-phase division on the sampling sequence to form a pulse phase sequence; closing the beginning and end of the single-beat cycle of each pulse position and level to form a set of closed-loop pulse paths; performing a logarithmic signature transformation of the pulse constraint quotient on the closed-loop paths to form a set of pulse structure spectra; calculating the single-beat closed-loop deviation, pulse position exchange sub-spectrum, and closed-loop residual by combining the closed-loop paths and structure spectra; and completing pulse identification and outputting structural interpretation results based on the structure spectrum, pulse position exchange sub-spectrum, and closed-loop residual. This invention uses the logarithmic signature method of the pulse constraint quotient to achieve structured analysis and identification of TCM pulse diagnosis data, which has the advantages of accurate identification, stable results, and strong interpretability.

1. Name of the product in this design: Auxiliary Diagnostic Terminal for Traditional Chinese Medicine Four Diagnostic Methods. 2. Purpose of this design: It is used for auxiliary diagnosis and treatment in traditional Chinese medicine (TCM) B-end and family health monitoring. It is an auxiliary terminal for "combined diagnosis and treatment of the four diagnostic methods in TCM" and can detect pulse diagnosis of both hands at the same time. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to the field of computer vision, in particular to a depression syndrome detection method and system based on multi-modal visual feature fusion, and the method comprises the steps: obtaining facial dynamic visual data and facial static visual data containing optical sensing information, outputting a pulse diagnosis feature vector from the facial dynamic visual data through a dynamic pulse diagnosis feature extraction module, facial static data is processed by a static seven-condition feature extraction module to output seven-condition feature vectors; and fusing the two feature vectors through a cross-modal visual fusion module, inputting the fused feature vectors into a syndrome type classification module, and outputting the depression traditional Chinese medicine syndrome type. According to the method, the problems of low efficiency, high subjectivity and the like caused by dependence on manual inquiry and questionnaires in the prior art are solved, non-contact detection is realized, the syndrome type prediction accuracy and convenience are improved, and the method is suitable for daily scenes.

The present application relates to the field of computer vision, and more particularly to a depression syndrome detection method and system based on multi-modal visual feature fusion, which comprises: obtaining facial dynamic visual data and facial static visual data containing optical sensing information, the facial dynamic data outputting pulse diagnosis feature vectors through a dynamic pulse diagnosis feature extraction module, and the facial static data outputting seven emotion feature vectors through a static seven emotion feature extraction module; the two feature vectors are fused into feature vectors through a cross-modal visual fusion module, and the depression syndrome TCM syndrome type is outputted through a syndrome type classification module. The method solves the problems of low efficiency and strong subjectivity caused by relying on artificial inquiry and questionnaire, realizes non-contact detection, improves the accuracy and convenience of syndrome type prediction, and is suitable for daily scenes.

1. Name of the product in this design: Intelligent Pulse Diagnosis Instrument (Wave). 2. Intended use of this design: for medical devices. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

1. Name of the product in this design: Traditional Chinese Medicine Brain All-in-One Machine. 2. Purpose of this design: For use in diagnosing users through tongue diagnosis, pulse diagnosis, voice diagnosis, and questioning. 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 invention discloses a syndrome element recommendation method based on multi-modal adaptive fusion, a medium and equipment. The method comprises the following steps: respectively extracting independent features of a tongue coating / face diagnosis image, a pulse diagnosis signal and a symptom text through pre-training CNN, LSTM and BERT networks; carrying out pixel-by-pixel sparse processing by adopting learnable parameters so as to eliminate redundancy and retain key features; dynamically fusing multi-modal features based on an attention mechanism, and adaptively adjusting the contribution degree of each modal; and finally, evidence element discrimination is realized through a full-connection classifier. The modal specificity is kept through independent feature extraction, the sparse processing and dynamic fusion mechanism are combined, the problems of feature interference and information loss in a traditional method are effectively solved, the accuracy and clinical adaptability of syndrome element recommendation are remarkably improved, and the stable performance can still be kept under the condition that part of modals are missing.

The invention relates to intelligent traditional Chinese medicine diagnosis and treatment, in particular to a remote bionic pulse feeling system based on motion intention recognition, which is used for solving the problem that the traditional remote pulse diagnosis system and method cannot support doctors to remotely, real-timely and autonomously adjust the pulse feeling pressure and position, so that the traditional Chinese medicine'lifting, pressing and searching 'core diagnosis method and the personalized dialectical process are difficult to implement. According to the scheme, the arm electromyographic signals generated when a doctor presses the arm model are used for remotely controlling the mechanical arm to synchronously apply pressure, tactile feedback is conducted through the arm model, and the pulse of a patient is reproduced.

1. The name of the design product: the four diagnostic instruments of the Yellow Emperor. 2. The use of the design product: the design product is used to collect the data of tongue diagnosis, face diagnosis, pulse diagnosis and interrogation diagnosis of patients. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view.

The utility model discloses a traditional Chinese medicine four-diagnosis instrument which comprises a mainframe box and a pulse diagnosis part arranged on the mainframe box, the pulse diagnosis part comprises a detection hole formed in a shell of the mainframe box, a soft rubber sleeve is further arranged in the detection hole in a sleeved mode, the detection hole is a stepped hole, the soft rubber sleeve is arranged on a small-aperture part of the stepped hole, and a nozzle hole is formed in the inner wall of a large-aperture part of the stepped hole. A nozzle facing the soft rubber sleeve is arranged in the nozzle hole; a gas tank and a liquid tank are further arranged in the mainframe box, disinfectant is arranged in the liquid tank, the gas outlet end of the gas tank is communicated with the gas inlet end of the liquid tank through a gas pipe, a one-way valve, a pressure reducing valve and an electric ball valve are arranged on the gas pipe in the gas flowing direction, the liquid outlet end of the liquid tank is communicated with the spray head through a liquid pipe, and an electromagnetic valve is arranged on the liquid pipe; an automatic flushing device is arranged outside the front face of the main machine box and is in communication connection with the electric ball valve and the electromagnetic valve. According to the utility model, disinfectant is atomized and sprayed out by using gas pressure through the gas-liquid linkage system, so that automatic cleaning of a probe contact area is realized.

This application relates to the field of medical diagnosis and treatment technology, specifically to a modular AI-powered fully intelligent diagnostic and treatment instrument and robot for both traditional Chinese medicine (TCM) and Western medicine. It includes: a TCM data acquisition module that constructs a four-diagnostic system (inspection, auscultation, inquiry, and palpation) to acquire TCM data; a Western medicine data acquisition module that constructs a four-diagnostic system (inspection, auscultation, inquiry, and palpation) to acquire Western medicine data; an AI-integrated TCM-Western medicine diagnostic module that uses an improved algorithm based on the fusion theorem definition formula method, Hua Luogeng optimization method, and quantum resonance correction to quantify the TCM data through weighted calculations and pulse diagnosis based on the principles of deficiency and excess; and a module that uses core calculation formulas to analyze the Western medicine data and outputs a TCM-Western medicine integrated diagnostic conclusion; and a treatment plan output module that generates an integrated TCM-Western medicine treatment plan based on the diagnostic conclusion. This integrated TCM-Western medicine treatment plan includes a precise TCM formula combining the principal, assistant, and adjuvant herbs, as well as a Western medicine symptomatic treatment plan. This addresses issues such as the ambiguity of the four diagnostic methods, invasive testing, and insufficient synergy between TCM and Western medicine.

The utility model designs a distance adjusting device for detection probes of a pulse diagnosis instrument, the pulse diagnosis instrument is provided with three pulse diagnosis probes which are arranged in a line, each pulse diagnosis probe comprises an electric cylinder, the lower end of each electric cylinder is connected with a pulse diagnosis pressure head, and the lower end of each pulse diagnosis pressure head is provided with a pulse diagnosis sensor; the pulse diagnosis sensor located on the pulse diagnosis pressure head in the middle is of a fixed structure, the pulse diagnosis sensors on the two sides can longitudinally move relative to the pulse diagnosis sensor in the middle through the distance adjusting assembly, and the distance between the pulse diagnosis sensors is adjusted to adapt to pulse position distribution of different users. The whole seat is ingeniously combined with the adjusting screw rod, and the distance between the probes can be adjusted according to individual differences of patients, so that the distance adjustment operation is simple, convenient and efficient, and the distance adjustment can be easily completed even under the condition that the space is limited. By means of the design, the space utilization rate is greatly improved, and powerful support is provided for miniaturization and portability of traditional Chinese medicine pulse diagnosis equipment.