231 results about "Pulse diagnosis" patented technology

The invention relates to the technical field of traditional Chinese medicine diagnosis and treatment, in particular to an Al-based traditional Chinese medicine diagnosis and treatment suggestion system, which comprises a traditional Chinese medicine constitution detection module used for collecting multi-dimensional traditional Chinese medicine physical sign data of a user; the AI physique analysis engine is used for outputting quantitative scores of yang-deficiency physique and yin-deficiency physique and a mixed physique analysis result; the personalized conditioning scheme generation module is used for forming dynamically adjustable personalized health suggestions; through a multi-modal data fusion technology, face diagnosis, tongue diagnosis, pulse diagnosis and inquiry data are subjected to collaborative analysis, and a deep learning model is combined with a traditional Chinese medicine knowledge graph for comprehensive differentiation, so that error interference of a single data source is effectively reduced, the accuracy of physique classification is improved, and a diagnosis result better fits the real physique condition of a user.

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.

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 belongs to the technical field of traditional Chinese medicine pulse diagnosis, and discloses a traditional Chinese medicine pulse diagnosis data analysis method and system, physiological noise influence factors are obtained by analyzing historical data, physiological noise in real-time pulse condition data is inhibited by using the factors, and a pulse diagnosis result is obtained on the basis of pulse condition characteristics of the pulse condition data after physiological noise inhibition. The method is used for evaluating the health risk type and the corresponding risk degree, physiological interference can be effectively coped with, and the pulse condition monitoring accuracy of sub-health people is remarkably improved.

The invention relates to the technical field of medical intellectualization, and discloses a traditional Chinese medicine pulse diagnosis digital system based on VR and AI technologies, which comprises a basic knowledge learning module, a machine analysis learning module and an inquiry training module, the basic knowledge learning module demonstrates eight elements including a pulse diagnosis origin, a pulse map / pulse condition forming mechanism, a pulse taking method and a pulse condition in a mode of combining animation, voice and / or image-text; the machine analysis learning module demonstrates the working principle of the pulse instrument and the pulse signal acquisition and analysis process in a mode of combining animation, voice and / or image-text; and the inquiry training module is used for simulating a pulse diagnosis medical scene between a doctor and a patient, and realizing traditional Chinese medicine clinical thinking training and examination of four-diagnosis combined reference and syndrome differentiation treatment in a man-machine online question and answer mode. The traditional Chinese medicine AI inquiry is combined with an artificial intelligence language large model, the traditional Chinese medicine clinical inquiry scene is highly restored, and students can freely train observation, smell and interrogation skills, four-diagnosis combined reference and syndrome differentiation decision-making thinking.

The invention relates to a method for processing and analyzing pulse condition information of an atrial fibrillation patient in the technical field of pulse condition analysis and recognition, which comprises the following steps of: S1, acquiring a pulse signal and converting the pulse signal into a digital signal; s2, noise reduction preprocessing is conducted on the digital pulse signals through an empirical mode decomposition method in combination with self-adaptive threshold value processing; s3, Fourier transform FT is carried out on the preprocessed pulse signal, the pulse signal is converted into a frequency domain signal, Hilbert-Huang transform HHT is combined to process a non-stationary signal, frequency components of local instantaneous transform are extracted, and frequency spectrum features of the pulse are comprehensively obtained; s4, key characteristic parameters including frequency, amplitude, period and fluctuation amplitude are extracted from the frequency spectrum, and matching analysis is carried out on the key characteristic parameters and a predefined pulse condition database; according to the processing and analyzing method, automation, digitization and quantification of pulse condition analysis are achieved through the modern signal processing technology combining FT-HHT, and then objectivity, accuracy and wide applicability of pulse diagnosis are improved.

The invention discloses a household traditional Chinese medicine robot which comprises a robot body, a face diagnosis acquisition module, a tongue diagnosis analysis module, an intelligent inquiry module, a pulse diagnosis detection module and a multi-modal data fusion center module. The system has the advantages that firstly, multi-mode traditional Chinese medicine diagnosis integration is achieved, intelligent fusion of four diagnosis modes of traditional Chinese medicine is achieved through collaborative analysis of face diagnosis, tongue diagnosis, pulse diagnosis and intelligent inquiry diagnosis, and the limitation of a traditional single diagnosis mode is broken through; 2, an accurate data acquisition technology: adopting advanced technologies such as five-color spectral imaging, tongue body dynamic tracking and a three-dimensional pulse pressure sensor to improve objectivity and accuracy of traditional Chinese medicine sign detection; and 3, dynamic personalized inquiry: based on the Bayesian network and the symptom knowledge graph, realizing real-time optimization of an inquiry path, and improving the dialectical efficiency. The method is suitable for household scenes, and the threshold of professional traditional Chinese medicine diagnosis is lowered.

The invention belongs to the technical field of biomedical signal processing, and particularly relates to a single-channel pulse signal enhancement method fusing angular domain features and time sequence information, which comprises the following steps: S1, collecting wrist pulse signals by using a single-finger pulse diagnosis bionic hand provided with a pressure sensor; s2, an improved Teager energy operator and a self-adaptive weighted fusion strategy are used for conducting denoising on the pulse signals; s3, adopting an improved Euclidean distance weighted Gramer angle field method to carry out Gramer field conversion on the pulse signals; and S4, using an improved attention score weighting and local standard deviation adjusting method to carry out fusion enhancement on the GASF graph and the GADF graph. According to the method, the denoising performance of the pulse signals is effectively improved through the improved Teager energy operator and the self-adaptive weighted fusion strategy, the time domain dynamic characteristics and structural direction information of the fused image are reserved through the improved Euclidean distance weighted Gramb angle field and the improved GASF and GADF fusion method, and the denoising performance of the pulse signals can be effectively improved through the improved Euclidean distance weighted Gramb angle field and the improved GASF and GADF fusion method. Therefore, a structured enhanced representation mode with angular domain and time sequence information is constructed.

The invention discloses an intelligent traditional Chinese medicine pulse diagnosis system which comprises a pulse condition information acquisition module (1), a processing module (2), a diagnosis module (3) and a visualization module (4). According to the method, the adaptive Fourier algorithm AFD and wavelet transformation are combined, complex pulse signals can be decomposed more accurately, key physiological features are extracted, the pulse diagnosis signal processing precision and reliability are improved, the key features in the pulse signals can be accurately extracted by means of the adaptive Fourier decomposition algorithm, and the pulse diagnosis signal processing accuracy and reliability are improved. High accuracy and consistency of pulse condition type classification are ensured, multiple common traditional Chinese medicine pulse condition types can be accurately identified through the deep learning model, diversified and complex pulse condition types are coped, an objective and accurate basis is provided for traditional Chinese medicine diagnosis, subjectivity and uncertainty of traditional Chinese medicine diagnosis can be reduced, and diagnosis accuracy is improved. The accuracy and reliability of diagnosis are improved, and the accuracy of pulse diagnosis is improved.

The invention discloses a multi-mode traditional Chinese medicine data structured processing method and a related device, and the method comprises the steps: obtaining traditional Chinese medicine diagnosis and treatment data which comprise text medical case data, tongue image data and pulse diagnosis signal data; according to the data activity labels, dividing the traditional Chinese medicine diagnosis and treatment data into high, medium and low activity data levels; generating a multi-modal feature set containing text symptom entity features, tongue condition description coding parameters and pulse condition description coding parameters based on the traditional Chinese medicine diagnosis and treatment data of the high-activity data hierarchy; key features of the traditional Chinese medicine diagnosis and treatment data of the middle activity data level are extracted, and a symptom-prescription medicine associated feature set is output; performing syndrome type feature integration on the low-activity data level traditional Chinese medicine diagnosis and treatment data; and based on a preset dynamic rule mapping library, carrying out feature mapping on a result of integration of the multi-modal feature set, the symptom-prescription drug associated feature set and the symptom type feature, and realizing structured processing on the multi-modal traditional Chinese medicine data.

The invention discloses a traditional Chinese medicine pulse diagnosis instrument based on vibration energy analysis and vibration mode coefficient detection and a diagnosis method thereof. The invention provides a brand-new technical route for solving the design problem of the pulse diagnosis instrument. Comprising a wrist strap type automatic sampling device capable of adjusting position coordinates, a temperature array and piezoresistive touch sensor array fused composite pulse condition acquisition sensor device and a vibration energy analysis and vibration mode coefficient detection analysis system, and is used for rapidly detecting traditional Chinese medicine composite pulse conditions such as astringent pulse. The pulse condition recognition method is used for solving the core pain points of tight string and difficult distinguishing and astringent pulse in traditional Chinese medicine pulse diagnosis, and the accuracy and efficiency of pulse condition recognition are improved.

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 belongs to the technical field of traditional Chinese medicine pulse diagnosis, and particularly relates to an intelligent pulse diagnosis system and method based on traditional Chinese medicine diagnosis and treatment. According to the method, the pulse condition data are automatically collected through the intelligent device, high dependence of traditional Chinese medicine pulse diagnosis on doctor experience is avoided, objective and quantitative collection of the pulse condition data is achieved, the evaluation efficiency is greatly improved, multi-source data fusion is adopted, and the traditional Chinese medicine theory and modern data are combined, so that the pulse diagnosis result is more accurate, and evaluation information is more comprehensive; through introduction of physiological data and climate data, personalized pulse condition analysis can be carried out according to specific conditions of a patient, customized health suggestions are provided, assessment information not only comprises pulse condition types, but also can further output traditional Chinese medicine syndrome types, health risk prediction and treatment scheme suggestions, and the accuracy of diagnosis is improved. Powerful auxiliary decision support is provided for traditional Chinese medicine doctors, and the overall medical service quality is improved.

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 pulse detection device and an automatic pulse taking method, and relates to the technical field of medical instruments.The pulse detection device comprises a pulse detection body used for being worn on the hand and further comprises a first fingerstall, a second fingerstall and a third fingerstall which are worn on the index finger, the middle finger and the ring finger of a doctor respectively, and the first fingerstall, the second fingerstall and the third fingerstall are connected; piezoresistive pressure sensors are arranged at finger pulps of the first fingerstall, the second fingerstall and the third fingerstall respectively, the pulse detection body further comprises a signal conditioning circuit arranged at the position of the hand back, the piezoresistive pressure sensors are electrically connected with the signal conditioning circuit, and the signal conditioning circuit is used for detecting a first state when the first state is detected. And the processor is used for converting from the standby mode to the working mode, receiving a signal of the piezoresistive pressure sensor, processing the signal and sending the processed signal to the upper computer, and is also used for converting from the working mode to the standby mode when a second state is detected. The pulse condition data and the floating, middle and sinking pressure can be automatically collected when a doctor takes the pulse, the doctor does not need to control, the complete information such as the pulse diagnosis state, the floating, middle and sinking pressure and the cun-guan-chi pulse condition can be detected, and fusion of manual pulse taking and sensor pulse taking is achieved.

The invention discloses an intelligent pulse diagnosis method for type 2 diabetes mellitus based on Mamba and KAN architectures, and belongs to the field of diabetes mellitus diagnosis and traditional Chinese medicine pulse signal analysis. The method specifically comprises the following steps: collecting pulse condition data; preprocessing the pulse condition data and dividing a data set; a Mama and KAN hybrid neural network model is built; training a Mama and KAN hybrid network model by utilizing the pulse condition data in the training set, and storing network model parameters converged after training; and finally, performing type 2 diabetes diagnosis on the pulse condition data by utilizing the trained model.

The invention provides a pulse condition dialectical method and system, a storage medium and electronic equipment, and the method comprises the following steps: collecting pulse condition data, and obtaining characteristic parameters of the pulse condition data; fitting the pulse condition data and establishing a pulse condition characteristic value set database based on a pulse condition quantification standard; constructing and training a pulse condition quantification mathematical model based on the pulse condition characteristic value set database; a pulse condition oscillogram of the dialectical person is obtained; and inputting the pulse condition oscillogram of the dialectical person into the pulse condition quantitative mathematical model to obtain a pulse condition dialectical result. According to the pulse condition dialectical method and system, the storage medium and the electronic equipment, the modern sensing technology, the signal processing algorithm and the traditional Chinese medicine pulse diagnosis theory are combined, precision, digitization and intelligentization of pulse diagnosis are achieved, the diagnosis accuracy and efficiency are remarkably improved, and a foundation is laid for modernization and internationalization development of traditional Chinese medicine pulse diagnosis.

The invention relates to a traditional Chinese medicine pulse diagnosis teaching and evaluation device and system. A traditional Chinese medicine pulse diagnosis teaching and evaluation device is composed of an upper computer, a pulse condition playback device, a pulse condition collecting hand, a slidable hand pillow and a control module. The pulse condition playback device is composed of a lower computer main control module, a pulse fluctuation generation device, a simulated hand and cun-guan-chi pressure detection module, a liquid path pipeline pressure detection and feedback control module and a simulated blood storage device. The pulse fluctuation generation device, the simulated hand, the cun-guan-chi pressure detection module and the liquid path pipeline pressure detection and feedback control module are connected through simulated blood vessels, and all the modules, the pulse condition collection hand, the slidable hand pillow and the control module are electrically connected with the lower computer main control module at the same time; the lower computer master control module is in communication connection with the upper computer, and pulse diagnosis teaching and evaluation system software based on digital twinborn is arranged in an upper computer system. According to the invention, the blank of finger movement manipulation simulation training commonly used in pulse diagnosis is filled up, and the traditional Chinese medicine pulse diagnosis teaching and evaluation modes are enriched.

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.

According to the invention, a multi-contact simultaneous detection mechanism and a depth vision sensor are adopted to measure and calculate the specific position of the wrist radial styloid process; a computer is used for controlling the six controllable linear motion mechanisms to position pulse diagnosis points; the mechanism is used for automatically adapting to the height difference and the distance of three pulse diagnosis points on the plane and controlling the up-down position and the pressure; a pulse sensor is installed on the three-pulse diagnosis point mechanism to collect pulse condition information so as to achieve the method of automatically measuring the pulse condition.

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.

The invention is suitable for the technical field of intelligent inquiry, and particularly relates to a traditional Chinese medicine electronic pulse feeling instrument which comprises a base, an arm clamping mechanism is installed on the base, a translation driving assembly is arranged on the base, a third support is installed on the translation driving assembly, and a dynamic pulse feeling mechanism is arranged on the third support. Two groups of mounting seats are fixedly mounted on the third bracket, second electromagnets and second guide rods are fixedly mounted on the mounting seats, second guide sleeves slidably sleeve the second guide rods, second magnetic blocks are fixedly arranged on the second guide sleeves, guide rollers are rotatably mounted on the second magnetic blocks, and second springs are arranged between the second electromagnets and the second magnetic blocks; and the second spring is connected with the second magnetic block through a first pressure sensor. The width data of the arm is recorded to determine the position of the radial styloid process, the position serves as a reference point, the positions of the cun-guan-chi pulse are recognized through the dynamic pulse feeling mechanism, accurate pulse feeling is achieved, and the accuracy of the pulse feeling result is greatly improved.

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.

A pulse condition determination method includes the following steps: obtaining a determination pulse signal; determining the effective range of the determination pulse signal through reverse pulse identification; and determining the pulse condition based on the effective range.

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 invention discloses a pulse feeling auxiliary device, and relates to the technical field of traditional Chinese medicine, the pulse feeling auxiliary device comprises a pulse pillow, a first control box is installed on the side face of the pulse pillow, a second control box is installed on the side, away from the first control box, of the pulse pillow, and the first control box and the second control box are jointly provided with an auxiliary assembly for the pulse pillow; the auxiliary assembly comprises a first control unit, a second control unit, a first rotating cylinder rotationally connected with the inner side of a first control box, a storage winding drum movably connected with the outer side of the first rotating cylinder, a second rotating cylinder rotationally connected with the inner side of a second control box, and a film winding drum movably connected with the outer side of the second rotating cylinder. When pulse feeling auxiliary work is carried out through the pulse pillow, a new film can be automatically replaced for use through the auxiliary assembly after a user uses the pulse pillow every time, cross infection and bacterium breeding can be effectively avoided, and use safety is improved.

1. The name of this design product: Detector (Smart Traditional Chinese Medicine). 2. Purpose of this design product: This design product is used as a Traditional Chinese Medicine diagnostic device in medical devices, and is used to collect and integrate Traditional Chinese Medicine information such as tongue diagnosis, facial diagnosis, pulse diagnosis, and medical consultation. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.