95 results about "Pulse pressure" patented technology

The invention discloses a multi-mode synchronous monitoring method and system based on traditional Chinese medicine pulse conditions and microcirculation, and relates to the technical field of traditional Chinese medicine intelligent diagnosis. A pulse position coordinate set is generated by combining a preset space mapping relation; a pulse pressure signal and a microcirculation blood flow image are synchronously acquired; frequency domain transformation is performed on the pulse pressure signal and a pathological risk probability L is calculated; a comprehensive node feature vector is constructed to form a graph structure; a pathology mode recognition result is output by matching a pathology sub-atlas template library, dynamic correlation analysis of traditional Chinese medicine pulse conditions and microcirculation is achieved, and the technical bottlenecks that traditional pulse diagnosis is high in subjectivity, multi-mode asynchronous and difficult in pathology quantification are broken through.

The invention relates to the technical field of medical artificial intelligence, in particular to a vascular embolism risk prediction method based on big data analysis, and the method comprises the steps: collecting a pulse pressure fluctuation rate, a microcirculation resistance index and a platelet adhesion gradient through a multi-source sensor, and extracting dynamic physiological parameter time sequence features; constructing a hemodynamic finite element model based on CTA and VFI image data, and obtaining a vascular mechanical feature vector; deep coupling of the pulse pressure spectrum and the circumferential stress is achieved through dynamic time warping and convolution mapping, and a multi-modal risk feature set is generated; and performing cross-modal coding by using the double-branch graph neural network, and outputting an acute embolism probability and a three-dimensional risk thermodynamic diagram. According to the method, physiological, image and mechanical multi-dimensional information is fused, and the method has the advantages of being high in real-time performance, accurate in positioning and good in interpretability and is suitable for risk prediction and auxiliary diagnosis of clinical cardiovascular and cerebrovascular events.

The invention discloses a biological material disinfection method, system and equipment based on big data analysis, and relates to the technical field of disinfection. The method comprises the following steps: determining a target disinfectant; the method comprises the following steps: performing Micro-CT scanning on a biological material to construct a 3D digital model; physical attribute information of a target disinfectant and an interaction relation between the target disinfectant and the biological material are read, spatial-temporal dynamic distribution of flowing, diffusion and permeation of the target disinfectant in pore channels in the material is simulated on the basis of the 3D digital model, and flow field and concentration field optimization is carried out on internal disinfection blind areas through pulse type pressure circulation; and generating a target disinfection parameter to perform disinfection control on the biological material. The technical problems that in the prior art, disinfection is not thorough and the material structure is damaged due to insufficient adaptability of a disinfectant and a biological material are solved, and the technical effects that the adaptability between the disinfectant and the biological material is achieved, pore channels in the material are fully disinfected, and meanwhile the damage risk of the material is effectively reduced are achieved.

The invention provides a low-rank personalized blood pressure estimation method, which comprises the following steps of: performing pre-training on a large-scale PPG-blood pressure data pair on a group level based on a UniTS model of a Transform backbone network, and learning a mapping relation from a PPG signal to blood pressure; carrying out personalized fine tuning on the pre-trained model by adopting a low-rank adaptive technology to realize model adaptation under the condition of few samples; in the personalized fine tuning process, a pulse pressure segmented penalty loss function is introduced, total training loss is formed by combining mean square error loss, and prediction results of the systolic pressure and the diastolic pressure are restrained to conform to the physiological law; the problem of sampling rate difference is solved by adopting a low-rank self-adaptive method with a stable sampling rate, and stable blood pressure estimation across equipment is realized; the invention aims to realize high-precision and cross-device robust blood pressure estimation according with physiological rules under the condition of few-sample calibration by introducing a physiological constraint loss function and sampling rate robust adaptation mechanism only depending on PPG signals and through a framework combining group pre-training and low-rank personalized fine tuning.

The invention provides a fetal hypoxia early risk identification method and system based on a large pulse pressure phenotype, and relates to the technical field of biomedical signal processing and heart sound signal analyse.The method comprises the steps that fetal heart sound signals and body surface vibration signals at the abdominal wall of a pregnant woman are collected through a multi-channel sensing array; a preprocessing means is adopted to improve the signal-to-noise ratio of a target signal and suppress an interference signal; in the sliding time window, a large pulse pressure phenotypic feature set and heart sound time phase parameters are extracted; based on the combined criterion, fetal hypoxia risk judgment is carried out; and outputting the graded early warning information, and supporting the playback of the risk event fragment. According to the method, fetal real heart sound mechanical vibration serves as an information source, hypoxia early warning is achieved based on a large pulse pressure phenotype, individualized base lines (including day and night layering) and gestational week self-adaptive correction are supported, the anti-interference capacity is high, the 7 * 24-hour continuous monitoring requirement in a hospital / family can be met, and the sensitivity and specificity of hypoxia recognition are improved.

This body fluid amount evaluation device comprises a pulse pressure acquisition unit, a first calculation unit, a second calculation unit, and an evaluation unit. The pulse pressure acquisition unit acquires a first pulse pressure of a dialysis patient before returning blood in a dialyzer and a blood circuit, and a second pulse pressure of the dialysis patient at completion of returning the blood. The pulse pressure acquisition unit acquires the first pulse pressure and the second pulse pressure in a plurality of consecutive dialyses of the dialysis patient. The first calculation unit calculates the increase rate of the pulse pressure from the first pulse pressure and the second pulse pressure. The first calculation unit calculates the increase rate of the pulse pressure for each of the plurality of dialyses from the first pulse pressure and the second pulse pressure in each of the plurality of dialyses. The second calculation unit calculates an average value and / or an index that indicates variation of the increase rates of the pulse pressure in the plurality of dialyses. The evaluation unit evaluates the body fluid amount of the dialysis patient on the basis of the average value and / or the index that indicates variation which has been calculated by the second calculation unit.

The invention relates to the technical field of clinical decision support and medical data intelligent analysis, in particular to a critical patient individualized liquid resuscitation decision support system, which is characterized in that a data acquisition unit acquires pulse pressure variation waveform and multi-dimensional physiological data of each stroke volume; a volume benefit analysis channel of the dynamic decision-making unit segments a respiratory cycle, extracts pulse pressure fluctuation characteristics, outputs a per-stroke volume increase probability value through a machine learning classifier, an organ injury early warning channel calculates a blood lactic acid and creatinine clearance rate change rate, and generates an acute kidney injury risk sign in combination with inferior vena cava image verification; the execution control unit sends an infusion control or limit instruction according to the combined state; and the feedback optimization unit adjusts the weight of the model according to the actual value of blood lactic acid removal, and recalculates the probability value, so that individualized precise resuscitation, balance capacity benefit and organ protection are realized, and the treatment safety and effectiveness are improved.

The invention relates to the technical field of medical care, in particular to a cardiovascular disease risk dynamic early warning system based on multi-source data fusion, and the system comprises the steps: obtaining ejection fraction, coronary artery stenosis percentage and calcification integral data of cardiovascular examination of a monitored object, and heart rate data and pulse pressure difference data of periodic signs; determining a physical examination abnormal coefficient according to the difference between the ejection fraction and the standard value and the difference between the calcification integral data and the standard value and the coronary artery stenosis percentage; according to the height and slope difference of the ST wave band and the PR wave band, the heart rate analysis abnormal index is determined by combining the time interval of the adjacent electric activity wave bands; according to the time sequence change correlation of the heart rate data and the pulse pressure difference data, a physical sign abnormal coefficient is determined; determining a dynamic risk score in combination with the physical examination abnormal coefficient and the physical sign abnormal coefficient; and carrying out risk early warning based on the dynamic risk score. According to the invention, fusion analysis of multi-source and multi-dimensional data can be realized, and the dynamic early warning precision of cardiovascular risks is improved.

A test system and method for determining migration front based on pulse pressure enhanced distributed strain belong to the technical field of CO2 geological storage and oil and gas resource development. The system includes a CO2 displacement brine unit, an optical fiber sensor, a pulse pressure injection unit, a data acquisition and processing system, etc. By injecting high-pressure gas on the other side of the core, a large pressure difference is generated at the two-phase interface, which in turn causes significant strain changes. The optical fiber sensor monitors these strain changes in real time, and the data acquisition and processing system analyzes and determines the CO2 / saline migration front position. The method has the advantages of high monitoring accuracy, fast response, wide applicability, etc., and can dynamically track the migration of CO2 during the underground storage process, ensuring the safety and effectiveness of the storage.

The invention belongs to a non-invasive blood pressure measurement method, and provides a blood pressure measurement method based on forearm local pulse transit time and a related device aiming at the technical problems that an existing blood pressure measurement method based on the forearm local pulse transit time is weak in relevancy and prone to being affected by complex factors. Non-invasive blood pressure measurement is realized by using an artificial neural network, and by synchronously detecting two paths of front arm local photoelectric volume pulse wave signals, front arm local pulse conduction time which is not highly related to blood pressure is taken as a core; in combination with demographic features having high correlation to blood pressure and other hemodynamic features except local pulse transit time, including time domain features, frequency domain features, time domain statistical features and frequency domain statistical features, sending the features to the trained prediction network model for prediction to obtain a model including systolic pressure, diastolic pressure, blood pressure, blood pressure, blood pressure, blood pressure, blood pressure, blood pressure, blood pressure and the like. And real-time blood pressure data of pulse pressure difference and average pressure.

The application discloses a blood pressure monitoring device based on multi-source physiological parameter adaptive control, comprising a blood pressure measurement module, an electrocardiogram measurement module and a processing module. The blood pressure measurement module comprises a microcontroller unit and an air pump and a deflation valve controlled thereby. The processing module acquires multi-source physiological parameters and controls the air path accordingly: when the skin conductance response is high, the deflation time is shortened to reduce the stress stimulus of the patient; when the pulse pressure difference of the initial measurement is large, the deflation frequency is increased to adapt to the rapid change of blood pressure and avoid false hypotension; when the electrocardiogram QT interval is long, the inflation time is prolonged to ensure measurement accuracy. The application dynamically adjusts the inflation and deflation physical process through multi-source physiological feedback, significantly improving the measurement accuracy and adaptability of the device under complex physiological conditions.

The application discloses a blood pressure measurement method, device, equipment, storage medium and computer program, and belongs to the technical field of intelligent terminals. The method comprises the following steps: determining posture change data and pulse pressure data of a user in a current posture; determining a height difference between a blood pressure measurement device and a heart of the user in the current posture based on the posture change data; and determining blood pressure of the user based on the pulse pressure data and the height difference between the blood pressure measurement device and the heart of the user in the current posture. According to the application, the height difference between the blood pressure measurement device and the heart of the user in the current posture is determined based on the posture change data, so that the posture of the user when measuring blood pressure does not need to be limited, and the blood pressure values measured by the user in any posture can be effectively ensured to be accurate, thereby greatly simplifying the operation steps of the user for measuring blood pressure and bringing convenience to the user.

This invention provides the use of β-1,3 / α-1,3-glucan in the preparation of functional foods that help maintain healthy blood pressure levels, belonging to the field of health foods. This invention provides a food-grade β-1,3 / α-1,3-glucan, which has been shown to significantly reduce systolic blood pressure, diastolic blood pressure, and pulse pressure, exhibiting high safety and broad applicability, providing a reliable solution for comprehensive blood pressure management.

The invention discloses a health monitoring method, device and equipment and a storage medium, the method is applied to portable pulse condition collecting equipment, the portable pulse condition collecting equipment comprises a multi-point piezoelectric sensor array, and the method comprises the steps that pulse pressure signals of a user are collected through the multi-point piezoelectric sensor array distributed in the radial artery direction; preprocessing the pulse pressure signal to obtain a preprocessed pulse pressure signal, and converting the preprocessed pulse pressure signal into a pulse digital signal; obtaining pulse condition characteristic parameters by analyzing frequency domain characteristics of the pulse digital signals; inputting the pulse condition characteristic parameters into the traditional Chinese medicine diagnosis model to obtain health assessment information of the user. Three-dimensional acquisition of pulse waves is achieved through the multi-point piezoelectric sensor array, pulse pressure signals are converted into quantized pulse condition characteristic parameters, traditional empirical pulse conditions are converted into quantizable and reproducible digital characteristics and health assessment information, and objectivity and consistency of pulse condition analysis are improved.

The application provides a low-permeability rock layer pulse type hydraulic fracturing device and a pulse fracturing method, relates to the technical field of fracturing devices, and discloses the following technical scheme: a fracturing rod is provided with a front end blocking air bag and a rear end blocking air bag at the front end and the rear end of the fracturing rod, respectively; a pair of auxiliary fracturing air bag sliding sleeves are further arranged on the rod body between the front end blocking air bag and the rear end blocking air bag; the fracturing hole comprises a front section fracturing hole, a middle section fracturing hole and a rear section fracturing hole; the displacement generated by the auxiliary fracturing air bag sliding sleeves is used for positioning the fracturing position; and the front section fracturing hole, the middle section fracturing hole and the rear section fracturing hole are used for partition fracturing. The power transmission is more efficient, so that the propelling rod no longer bears huge propelling pressure, and the risk of damage is reduced; low-amplitude pulse pressure and high-amplitude pulse fracturing are used for fracturing according to the rock fracture opening and the distribution range, a low-permeability rock layer pulse fracturing method is formed, accurate and efficient fracturing of the low-permeability rock layer is realized, and more uniform fracturing effect is ensured.

The application discloses a traditional Chinese medicine blood pressure pulse condition detection system, which is used for realizing more accurate pulse condition detection, identification and classification of traditional Chinese medicine blood pressure pulse conditions of a target according to arterial blood pressure information of the target. The blood pressure pulse condition detection system provided by the application embodiment realizes that the average pressure of arterial blood pressure of the target is used as a basis for classifying pulse condition sinking and floating properties, that a pulse pressure difference is used as a basis for classifying pulse condition empty and full properties, that a pulse amplitude change law (pulse amplitude law) in a sleeve belt deflation process is used as a supplement and development for confirming pulse condition sinking and floating properties and pulse type classification, and that identification of pulse waveforms, pulse wave rhythm and rate in the sleeve belt deflation process is used as a summary for determining pulse type identification and classification, so that the traditional Chinese medicine blood pressure pulse conditions are more objectively detected and classified.

The present invention discloses an artificial intelligence-based radial artery three-part pulse acquisition system, relating to the field of pulse detection technology. The system comprises an MCU control unit, an air pump and airbag unit, a stepper motor unit, and a pulse acquisition unit, each connected to the MCU control unit. The MCU control unit controls the air pump and airbag unit to inflate and deflate, while also controlling the upward and downward movement of the stepper motor unit to further fine-tune the applied pressure. The pulse acquisition unit collects and records pulse signal data based on changes in pressure. This system solves the problem of existing pulse acquisition devices that cannot precisely or independently control pulse pressure.

The invention belongs to the technical field of protection, and particularly relates to a method and device for evaluating the damage degree of a functional gradient multilayer metal plate under a near-field explosion load. The method specifically comprises the following steps: determining the pulse pressure generated by explosion according to the spatial distribution characteristic of the peak value of the pulse pressure on a loaded surface and the attenuation change rule of the pulse pressure along with time; calculating the plastic work of the first layer of metal according to the plastic strain component expression of the first layer of metal and the incompressibility principle; according to the plastic work of the first layer of metal, the total kinetic energy of the multiple layers of metal plates and virtual work of pulse pressure generated by explosion on virtual displacement, a control differential equation of transverse displacement of the multiple layers of metal plates is obtained; solving the differential equation to obtain the maximum lateral displacement of the multilayer board, calculating the average strain rate according to the maximum lateral displacement, and updating the flow stress; the differential equation is solved again through the flow stress obtained through updating till the set condition is met, and the currently obtained maximum transverse displacement of the multi-layer board serves as the damage degree.

The present application relates to the technical field of medical monitoring, in particular to an intelligent multi-parameter risk early warning system for critical patients. The system transforms ventricular electrical amplitude sequence and pulse pressure difference sequence in a preset sliding data window to determine relative electrical amplitude sequence and relative pulse pressure sequence. The pulse pressure variability is determined based on the pulse pressure difference sequence in the window. The reference conduction time is determined according to the electrical-mechanical delay sequence in the window. The matching cost matrix is constructed according to the reference conduction time, the relative electrical amplitude sequence and the relative pulse pressure sequence, and the optimal matching relationship is solved. The excitation-response data pair set is constructed according to the optimal matching relationship, and the waveform difference index is determined. The response reverse sequence ratio is determined according to the set. The pulse pressure variability, the waveform difference index and the response reverse sequence ratio are used for hierarchical screening to determine the physiological state and output the corresponding risk warning, thereby significantly improving the early cardiovascular abnormality recognition ability.

The invention discloses an anti-blocking traditional Chinese medicine atomization device, and relates to the technical field of atomization devices. The device comprises a shell and a nozzle, one side of the shell is fixedly connected with a fixing seat, the lower portion of the fixing seat is fixedly connected with a handle, the upper side of the fixing seat is provided with a liquid medicine bin, and an atomization pipeline connected with the liquid medicine bin is arranged in the shell; an annular pulse dredging pipe, a magnetic control channel and a magnetic control motor which are connected with the atomization pipeline are arranged in the shell. By arranging the dredging system and the intelligent control system in the shell, when the atomization pipeline is blocked, the intelligent control system can quickly sense the blockage condition and immediately start the dredging system, and the dredging system can apply pulse pressure into the atomization pipeline through the annular pulse dredging pipe, so that the atomization pipeline is dredged; impact force of the pulse is utilized to attempt to remove blockages.

1. The name of this design product: Outpatient blood collection and pulse pressure device. 2. Purpose of this product design: It is used to help medical staff to perform pulse pressure on patients instead of using a rubber tube when drawing blood in outpatient clinics, so as to find the vein for blood collection faster and better. 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.

A processor is configured to determine a dicrotic incisura location of a pulse pressure by determining at least one of an incisura determination intersection location, an incisura determination maximum location, and an incisura determination function location. The incisura determines that the intersection location is a location where a displaced tangent of the pressure pulse intersects with the pressure pulse. The incisura determination maximum position is a position where the derivative function of the pressure pulse has a maximum value. A position determination function position is determined by applying the position determination function to a characteristic of the pressure pulse. In this way, the dicrotic incisura position related to diagnosis can be determined very accurately.

The invention relates to the technical field of functional seat cushions, in particular to a crissum massage seat cushion and an auxiliary massage method thereof.The crissum massage seat cushion comprises a bottom cushion, and a miniature physiotherapy node is arranged on the middle rear portion of the bottom cushion; each miniature physiotherapy node comprises a high-resilience flexible massage bump and massage microparticles; massage microparticles are distributed on the surfaces of the massage bumps and are radially distributed on the surfaces of the massage bumps from top to bottom. According to the application, the body weight of the user is used as a unique power source, the body weight potential energy of the user is converted into mechanical kinetic energy, the mechanical kinetic energy is used as pulse pressure to be applied to the crissum area of the user through the massage bumps and the massage microparticles, and surrounding pressing stimulation is generated on the crissum area; the purposes of promoting local blood circulation, exercising the sphincter function and assisting in perianal cleaning are achieved, meanwhile, due to the integrally-formed concealment design, it is guaranteed that a user can sit at any time in daily work and life, and privacy and convenience are higher.

The invention provides a film type pressure sensor for monitoring cun-guan-chi pulses in traditional Chinese medicine pulse feeling and a preparation method thereof, and relates to the technical field of traditional Chinese medicine. The patterned silver electrode can directly correspond to three pulse areas of cun, guan and chi, independent acquisition of signals of the three parts is realized, and signal confusion caused by the fact that a traditional sensor cannot be partitioned is avoided; the patterned gasket layer can provide stable support for the piezoresistive layer, ensure accurate and reliable contact between the piezoresistive layer and the three electrode areas, and reduce interlayer interference. The multi-layer structure works cooperatively, the bottom-layer base material and the top-layer base material are guaranteed to be flexibly attached to the wrist, electric signals can be accurately output through the silver electrodes according to resistance changes of the piezoresistive layer after the piezoresistive layer is pressed, accurate monitoring of cun-guan-chi pulse pressure is achieved, and reliable support is provided for objectification of traditional Chinese medicine pulse diagnosis.

This application discloses a testing system and method for artificial heart valve implants, relating to the field of medical device testing technology. The system includes: a ventricular simulator, an atrial simulator, a highly transparent and compliant valve testing chamber containing an artificial heart valve, a vascular compliance simulator, and a vascular damping simulator forming a circulation loop, a high-speed camera, and a laser generator. The circulation loop simulates the blood flow environment of the artificial heart valve, with a tracer particle suspension added to the flow medium. The ventricular simulator, atrial simulator, vascular damper, and vascular compliance simulator provide power, storage space, resistance, and pulse pressure to the flow medium, respectively. The laser generator and high-speed camera work together to acquire particle images after implantation of the artificial heart valve. The particle images are uploaded to a computer for visual analysis of the heart valve pulsating flow field based on digital particle image velocimetry technology, thereby enabling quantitative analysis of the risk after implantation at the intended site.

The invention discloses a spine fatigue detection system, and relates to the technical field of spine health detection, a pulse pressure module is used for adaptively applying pulse pressure to the spine based on the weight of a detected user; the multi-modal data acquisition module integrates a pressure sensor, an accelerometer and a displacement sensor, and is used for acquiring multi-modal data of spine compression and springback, including pressure data, springback acceleration data and springback amplitude data; the data processing module is used for processing the multi-modal data, including de-noising processing and characteristic parameter calculation, and the characteristic parameters include an elastic coefficient, a damping ratio and a frequency domain energy ratio; and the intelligent detection module is constructed based on a trained machine learning classification model, establishes association between the characteristic parameters and the spine state, and is used for outputting a spine fatigue classification result according to the characteristic parameters. According to the invention, electronization and automation of spine health detection are realized, and objectivity, precision and early warning capability of detection are obviously improved.

The present invention relates to a device, system and method for determining pulse pressure variation of a subject. To enable more reliably determining pulse pressure variation of a subject the device comprises a signal input (11) configured to obtain an input signal representing a hemodynamic signal of the subject, a processor (12) configured to process the input signal and compute a pulse pressure variation and a signal output (13) configured to output the computed pulse pressure variation. The pulse pressure variation is computed by deriving a pulse height signal from the input signal, deriving a pulse height baseline and a de-trended pulse height signal from the pulse height signal as the ratio between the difference between extrema of the de-trended pulse height signal and the respective value of the pulse height baseline signal, and computing the pulse pressure variation from the de-trended pulse height signal and the pulse height baseline.

The invention discloses an intelligent high-pressure physical sign monitoring bracelet, and relates to the technical field of intelligent bracelets, the intelligent high-pressure physical sign monitoring bracelet comprises a high-pressure protection shell, a pressure-resistant sealing rear cover and an antibacterial wrist strap, and a lithium polymer battery, a multi-parameter vital sign monitoring unit, a dynamic pressure and environment sensing module and the like are integrated on the pressure-resistant sealing rear cover; the photoelectric volume pulse wave sensor is packaged in a high-pressure sealing mode, the non-invasive SpO detection module is covered with a high-pressure-resistant optical filter, the six-axis movement posture catcher monitors the action state, the fingertip pulse pressure sensing node is internally provided with a high-pressure calibration unit, the body surface temperature compensation sensor eliminates temperature measurement interference, and the palmar blood pressure monitoring probe cooperates with the radial artery pressure tracker. Data are transmitted to the biological signal processor through the high-voltage anti-interference isolation layer, the multi-mode alarm lamp is linked with the tactile feedback actuator, the wide area network communication module guarantees transmission, the power supply management and control system optimizes endurance, and the high-voltage operation monitoring system is suitable for high-voltage operation, monitors physical signs and environmental parameters in real time and guarantees safety.

The present invention relates to a needleless syringe comprising: a main body part; a control part for controlling the main body part; a drug accommodation part connected to one end of the main body part; and a nozzle part through which a drug accommodated in the drug accommodation part is discharged, wherein the main body part provides, in a pulse form, pressure of a predetermined magnitude to the drug accommodated in the drug accommodation part so as to discharge, to the outside through a nozzle hole of the nozzle part, the drug accommodated in the drug accommodation part under the control of the control part, and further includes an electronic control valve which is disposed in a drug flow path communicating with each of the drug accommodation part and the nozzle part, so as to open / close the flow path of the drug. According to the present invention, the needleless syringe for injecting a drug through the application of pulse pressure can more reliably prevent external air from flowing into the nozzle part during drug discharge.

A pulse diagnosis device and pulse pattern recognition method are disclosed. The pulse diagnosis device includes: a wearable body for wearing on the wrist to be tested; the wearable body is provided with a pressure sensing mechanism and an ultrasound detection mechanism; wherein the ultrasound detection mechanism is used to locate at least three target pulse points on the wrist to be tested; the pressure sensing mechanism is used to apply gradient pressure to the at least three target pulse points on the wrist to be tested and to collect the pulse pressure signals of the at least three target pulse points under the action of the gradient pressure; the ultrasound detection mechanism is also used to collect vascular feature information corresponding to each of the at least three target pulse points. The technical solution of this application can effectively improve the accuracy of the pulse diagnosis device.