Pulse diagnosis apparatus and pulse condition recognition method

Abstract

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.

Description

Technical Field

[0001] This invention relates to the field of medical device technology, and in particular to a pulse diagnosis device and a pulse pattern recognition method. Background Technology

[0002] Pulse diagnosis in Traditional Chinese Medicine (TCM) is a core basis for clinical diagnosis and treatment. It primarily involves sensing the changes in pulsation at different depths (superficial, medium, and deep) of the radial artery at the cun, guan, and chi positions on the wrist to assess the state of the body's Qi, blood, and internal organs. In recent years, non-invasive wearable pulse detection technology has rapidly developed. By collecting pulse signals from the body surface using pressure sensors, it effectively replaces manual finger-based pulse diagnosis, enabling digital and routine home monitoring of TCM pulse diagnosis and significantly reducing the reliance on the physician's clinical experience in traditional pulse diagnosis.

[0003] Most existing pulse diagnosis equipment only uses a single pressure sensing method, or collects pulse fluctuation signals without accurately determining the pulse position. It can only obtain the characteristics of pressure changes in the superficial layer of the body surface and cannot simultaneously perceive the movement pattern of the radial artery wall, changes in vascular morphology, and local hemodynamic parameters. The pulse judgment dimension is single and limited, which can easily lead to confusion and misjudgment of similar pulses, resulting in low overall diagnostic accuracy. Summary of the Invention

[0004] The technical problem solved by this invention is to provide an improved pulse diagnosis device and a pulse pattern recognition method.

[0005] To address the aforementioned technical problems, this invention provides a pulse diagnosis device, comprising: a wearable body for wearing on the wrist to be tested; the wearable body being 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 acquire 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 acquire vascular feature information corresponding to each of the at least three target pulse points.

[0006] Optionally, the at least three target pulse points are located on the radial artery of the wrist to be tested.

[0007] Optionally, the ultrasound detection mechanism is also used to construct an anatomical coordinate system corresponding to the wrist to be tested, and to obtain the position information of the at least three target pulse points based on the anatomical coordinate system.

[0008] Optionally, the pulse diagnosis device further includes: an adjustment mechanism for adjusting the sensing position of the pressure sensing mechanism according to the position information, so that the pressure sensing mechanism is aligned with the at least three target pulse positions.

[0009] Optionally, the positioning deviation between the adjusted pressure sensing mechanism and the at least three target pulse points shall not exceed 0.15 cm.

[0010] Optionally, the pulse diagnosis device further includes: a control module, which communicates with the ultrasound detection mechanism and the adjustment mechanism. The control module is used to receive the position information, calculate the position deviation information between the pressure sensing mechanism and the target pulse position based on the position information, generate a corresponding sensing position adjustment command, and send the sensing position adjustment command to the adjustment mechanism to control the adjustment mechanism to complete the sensing position adjustment of the pressure sensing mechanism.

[0011] Optionally, the pulse pressure signal includes at least one of pulse wave amplitude, pulse wave frequency, pulse wave period variation coefficient, pulse wave rise slope, and pulse wave amplitude variation under different pressure gradients.

[0012] Optionally, the vascular feature information includes vascular wall motion signals and blood flow signals, wherein the vascular wall motion signals include at least one of vascular wall displacement, pulsation amplitude, vascular diameter change rate, and pulsation frequency.

[0013] Optionally, the blood flow signal includes at least one of blood flow velocity and blood flow rate.

[0014] Optionally, the ultrasonic testing mechanism and the pressure sensing mechanism acquire signals synchronously.

[0015] Optionally, during the application of gradient pressure by the pressure sensing mechanism to the at least three target pulse points, the ultrasound detection mechanism acquires the vessel wall motion signal and the blood flow signal of the vascular region corresponding to each of the target pulse points at each pressure.

[0016] Optionally, the pulse diagnostic device further includes a signal processing module that communicates with the pressure sensing mechanism and the ultrasound detection mechanism, respectively. The signal processing module is at least used to filter, amplify, and perform analog-to-digital conversion on the pulse pressure signal, the blood vessel wall motion signal, and the blood flow signal.

[0017] Optionally, the pulse diagnosis device further includes a temperature detection module, disposed on the wearable body, for collecting temperature data corresponding to each of the at least three target pulse positions.

[0018] Optionally, the temperature detection module includes an infrared temperature measurement module.

[0019] Optionally, the pulse diagnosis device further includes a pulse comparison module, which is used to compare the pulse pressure signal, the vascular feature information and the temperature data with a preset pulse feature database to determine the corresponding pulse type.

[0020] Optionally, the ultrasound detection mechanism is an ultrasound sensor array, which includes at least three ultrasound sensor units. The at least three ultrasound sensor units are arranged in a one-to-one correspondence with the at least three target pulse positions, and the scanning area of ​​each ultrasound sensor unit covers the radial artery segment of the corresponding target pulse position.

[0021] Optionally, the ultrasonic sensing array operates at a frequency of 15MHz to 25MHz and has a sampling frequency of not less than 100Hz.

[0022] Optionally, the ultrasonic sensing array emits pulse waves at a period of 10ms.

[0023] Optionally, the ultrasonic sensing array includes at least three subarrays; wherein each ultrasonic sensing unit includes at least one subarray; and each subarray includes at least four ultrasonic transducer units.

[0024] Optionally, the gradient pressure includes at least a first pressure, a second pressure, and a third pressure, wherein the first pressure, the second pressure, and the third pressure increase sequentially.

[0025] Optionally, the first pressure is 10 kPa.

[0026] Optionally, the second pressure is 30 kPa.

[0027] Optionally, the third pressure is 50 kPa.

[0028] Optionally, each pressure level in the gradient pressure is maintained for a preset time interval.

[0029] Optionally, the pressure sensing mechanism includes a pressure array for applying the gradient pressure and detecting the corresponding pulse pressure signal.

[0030] Optionally, the pressure array includes 3n pressure-sensitive sensing points, each of which is used for pressure application and pressure detection, where n≥1 and is a positive integer; the 3n pressure-sensitive sensing points are divided into three groups, with each group of n sensing points corresponding to the same target pulse position, and are used to collect the pulse pressure signal of the corresponding target pulse position under the gradient pressure.

[0031] To address the aforementioned technical problems, this invention also provides a pulse identification method, comprising: applying gradient pressure to at least three target pulse positions and acquiring pulse pressure signals of the at least three target pulse positions under the gradient pressure; acquiring vascular wall motion signals and blood flow signals corresponding to the at least three target pulse positions; and comparing the pulse pressure signals, vascular wall motion signals, and blood flow signals with a preset pulse feature database to determine the corresponding pulse type.

[0032] Optionally, locating at least three target pulse points on the wrist to be tested includes: constructing an anatomical coordinate system corresponding to the wrist to be tested, and obtaining the position information of the at least three target pulse points based on the anatomical coordinate system.

[0033] Compared with the prior art, the technical solution of the embodiments of the present invention has the following beneficial effects: The technical solution of this application integrates a pressure sensing mechanism and an ultrasound detection mechanism into the wearable body. The ultrasound detection mechanism locates at least three target pulse points on the wrist to be tested. The pressure sensing mechanism applies gradient pressure to the corresponding target pulse point and collects the pulse pressure signal under the gradient pressure. Simultaneously, the ultrasound detection mechanism collects vascular characteristic information of the corresponding target pulse point. Therefore, this solution combines target pulse point localization with simultaneous acquisition of multi-dimensional physiological signals, integrating changes in surface pulse pressure with deep vascular pulse movement and blood flow information. This solves the problems of limited diagnostic dimensions, inaccurate pulse location leading to distorted data, and insufficient differentiation of similar pulse patterns in existing single-sensor methods, thus improving the comprehensiveness and accuracy of pulse diagnosis.

[0034] Furthermore, by limiting the detection location to the radial artery of the wrist to be tested, the detection location is made consistent with the traditional positioning method of the three parts of pulse diagnosis in traditional Chinese medicine, namely cun, guan, and chi, ensuring that the collected signal has significant clinical and physiological significance and is easy to integrate with the existing pulse diagnosis knowledge system.

[0035] Furthermore, by specifying the pulse pressure signal as at least one of amplitude, frequency, coefficient of variation of period, slope of rise, and amplitude change, and specifying vascular feature information as at least one of vessel wall displacement, pulsation amplitude, rate of change of vessel diameter, pulsation frequency, blood flow velocity, and flow rate, the pulse characteristics are comprehensively quantified from multiple dimensions such as time domain, frequency domain, morphology, and hemodynamics, providing rich and high-resolution discrimination criteria for subsequent accurate identification of different pulse types.

[0036] Furthermore, by keeping the ultrasound detection mechanism and the pressure sensing mechanism synchronized in acquiring data, and by simultaneously acquiring the vessel wall motion signal and blood flow signal of the corresponding vascular area during each level of pressure application, the pressure touch signal and the deep blood flow vascular dynamics are strictly aligned in the time dimension, thus more accurately recording the continuous change process of the pulse under different pressure levels.

[0037] Furthermore, by setting the ultrasound detection mechanism as an array containing at least three ultrasound sensing units and deploying them one-to-one with at least three target pulse positions, parallel and independent synchronous acquisition of vascular feature information at the cun, guan, and chi positions is achieved, avoiding the time error that may be introduced by time-division scanning and significantly improving the efficiency and consistency of pulse information acquisition at multiple positions.

[0038] Furthermore, by setting the gradient pressure to successively increase the first, second, and third pressures, and further setting the pressure values ​​to 10 kPa, 30 kPa, and 50 kPa, the typical pressure of superficial, middle, and deep palpation in traditional Chinese medicine pulse diagnosis was quantitatively simulated. This achieved standardized collection and objective description of pulse changes under different pressure levels, avoiding subjective errors caused by inconsistent manual pressure.

[0039] Furthermore, by using positioning and adjustment mechanisms to align the pressure sensing mechanism with at least three target pulse points, it is possible to ensure that the pressure sensing mechanism is placed more accurately at the correct anatomical positions of the cun, guan, and chi points. This reduces the risk of signal misalignment or feature attenuation caused by wearing misalignment and improves the reliability and repeatability of measurement results. Attached Figure Description

[0040] Figure 1 This is a schematic diagram of a pulse diagnosis device according to an embodiment of the present invention; Figure 2 yes Figure 1 A schematic diagram of the internal structure of the pulse diagnosis device; Figure 3 yes Figure 2 A schematic diagram of the medium pressure sensing mechanism. Detailed Implementation

[0041] As mentioned in the background section, the accuracy of existing pulse diagnosis devices needs to be improved.

[0042] To address the aforementioned technical problems, embodiments of the present invention provide a pulse diagnosis device and a pulse pattern recognition method. The pulse diagnosis device includes: a wearable body for wearing on the wrist to be tested; the wearable body is equipped 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 pulse pressure signals of the at least three target pulse points under 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.

[0043] The technical solution of this application integrates a pressure sensing mechanism and an ultrasound detection mechanism into the wearable body. The ultrasound detection mechanism locates at least three target pulse points on the wrist to be tested. The pressure sensing mechanism applies gradient pressure to the corresponding target pulse point and collects the pulse pressure signal of the pulse point under the gradient pressure. At the same time, the ultrasound detection mechanism collects the vascular feature information of the corresponding target pulse point. This solution can realize the combination of target pulse point localization and multi-dimensional physiological signal synchronous acquisition, and integrate the changes in surface pulse pressure with deep vascular movement and blood flow information. It solves the problems of single-sensor methods in diagnosis and insufficient differentiation of similar pulses, and improves the comprehensiveness and accuracy of pulse diagnosis.

[0044] To make the above-mentioned objectives, features, and beneficial effects of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the shapes, dimensions, and positions of the components in the drawings are exemplary, and those skilled in the art can make modifications and adjustments according to actual needs.

[0045] Figure 1 This is a schematic diagram of a pulse diagnosis device 100 according to an embodiment of the present invention. Figure 2 yes Figure 1 A schematic diagram of the internal structure of the pulse diagnosis device 100.

[0046] Combination Figure 1 and Figure 2 In some embodiments, the pulse diagnosis device 100 includes: a wearable body 1 for wearing on the wrist 200 to be tested; the wearable body 1 is provided with a pressure sensing mechanism 2 and an ultrasound detection mechanism 3; wherein the ultrasound detection mechanism 3 is used to locate at least three target pulse points P on the wrist to be tested; the pressure sensing mechanism 2 is used to apply gradient pressure to the at least three target pulse points P on the wrist 200 to be tested and to collect the pulse pressure signals of the at least three target pulse points P under the action of the gradient pressure; the ultrasound detection mechanism 3 is also used to collect the vascular feature information corresponding to each of the at least three target pulse points P.

[0047] It should be understood that the blood vessels referred to in this article include both the vessel wall and the blood flowing inside. Therefore, the blood vessel feature information mentioned includes both feature information related to the vessel wall and feature information related to the blood flowing inside.

[0048] Specifically, in some embodiments, combined with Figure 1The pulse diagnosis device 100 can be used in TCM pulse diagnosis applications. TCM pulse diagnosis is a core method of TCM syndrome differentiation and treatment. It involves pressing on the radial artery at the wrist and sensing the pulse's pulsation state with varying pressure levels to assess the condition of the body's organs and blood. The pulse diagnosis device 100 enables non-invasive, standardized TCM pulse diagnosis data collection and is suitable for various applications, including TCM outpatient auxiliary diagnosis, home monitoring of chronic diseases, and physical assessment of healthy individuals.

[0049] The core diagnostic logic of traditional Chinese medicine pulse diagnosis is the "Three Divisions and Nine Pulse Diagnosis Method." The three divisions refer to the three independent pulse points—cun, guan, and chi—located at the radial artery at approximately 200 degrees of the wrist. These three pulse points are located along the radial artery (e.g.,...). Figure 2 The lines (shown by the bolded curves) are arranged sequentially, each corresponding to a different organ region in the human body. The Nine Pulse Points refer to the collection of pulse diagnosis information by applying three different pressures (superficial, medium, and deep) to each of the Cun, Guan, and Chi pulse points. Each pulse point corresponds to the three pulse point information based on the three pressures, and the three pulse points together form the complete diagnostic dimension of the Nine Pulse Points.

[0050] Among these methods, superficial palpation involves applying light pressure to the pulse point, which can be used to examine the functional state of the body's surface and corresponding organs; medium palpation involves applying moderate pressure to the pulse point, which can be used to examine the functional state of the spleen and stomach in the middle jiao (middle burner); and deep palpation involves applying heavy pressure to the pulse point, which can be used to examine the functional state of the deeper organs and corresponding kidneys. Through this comprehensive examination using the three methods and nine pulse points, traditional Chinese medicine practitioners can obtain complete information on the circulation of qi and blood and the state of the organs, thereby completing the diagnosis and treatment of diseases.

[0051] In some embodiments, the pulse diagnostic device 100 includes a wearable body 1. The wearable body 1 is wearable and fixed to the surface of the wrist 200 to be tested. The wearable body 1 provides a base for mounting all the functional components of the pulse diagnostic device 100. A pressure sensing mechanism 2 and an ultrasound detection mechanism 3 are provided on the wearable body 1.

[0052] Specifically, the pressure sensing mechanism 2 can be disposed on the side of the wearable body 1 close to the wrist 200 to be tested. The pressure sensing mechanism 2 can be used to apply gradient pressure to at least three target pulse points P on the wrist 200 to be tested. The pressure sensing mechanism 2 can be used to collect pulse pressure signals of at least three target pulse points P under the action of gradient pressure. The target pulse points P can correspond to the pulse diagnosis points of traditional Chinese medicine at the radial artery of the wrist 200 to be tested. The gradient pressure can correspond to the different pressure levels of superficial, middle and deep palpation in traditional Chinese medicine pulse diagnosis, thereby replicating the pulse diagnosis logic of the three parts and nine pulses in traditional Chinese medicine.

[0053] Furthermore, the ultrasound detection mechanism 3 can be integrated into the side of the wearable body 1 that is close to the wrist 200 to be tested. The ultrasound detection mechanism 3 can be used to collect vascular feature information corresponding to at least three target pulse positions P. The vascular feature information may include motion state data and blood flow status data of the blood vessels below the target pulse position P. The vascular feature information can supplement the deep physiological information of blood vessels that cannot be covered by pulse pressure signals, thereby improving the comprehensiveness of pulse image acquisition.

[0054] Therefore, the pressure sensing mechanism 2 and the ultrasound detection mechanism 3 can work together to complete dual-modal pulse data acquisition. The pulse pressure signal acquired by the pressure sensing mechanism 2 and the vascular feature information acquired by the ultrasound detection mechanism 3 can complement each other, making up for the information blind spots of single-modal detection and improving the accuracy and comprehensiveness of pulse recognition. The wearable main body 1 integrates all functional components into one unit, enabling wearable portable detection and adapting to the needs of various scenarios such as home and clinical use.

[0055] In some embodiments, the wearable body 1 may employ an elastic wristband structure made of medical-grade silicone. The elastic wristband structure can adapt to wrists 200 with a circumference of 15cm to 22cm, with an adjustment accuracy of up to 0.5cm. Therefore, the wearable body 1 can conform to the wrist sizes of different users, improving fit and comfort, while ensuring close contact between the pressure sensing mechanism 2, the ultrasonic detection mechanism 3, and the skin surface of the wrist 200, reducing signal errors caused by detection gaps.

[0056] In some embodiments, the wearable body 1 may have an overall structure similar to a watch or bracelet.

[0057] In one variation, the wearable body 1 may be equipped with an adjustable buckle structure. The adjustable buckle structure allows for quick fixing or removal of the wearable body 1, facilitating rapid wearing by the user. The wearable body 1 may integrate a magnetic charging interface and a wireless Bluetooth communication unit. The magnetic charging interface can be used to replenish power to the pulse diagnostic device 100. The wireless Bluetooth communication unit can be used to exchange data with smart terminals such as mobile phones and computers, enabling the transmission and storage of detection data.

[0058] In some embodiments, the at least three target pulse points P are located on the radial artery of the wrist 200 to be tested.

[0059] In some embodiments, the pulse pressure signal may include at least one of pulse wave amplitude, pulse wave frequency, pulse wave period variation coefficient, pulse wave rise slope, and pulse wave amplitude variation under different pressure gradients.

[0060] Specifically, pulse wave amplitude can be used to characterize the strength of the pulse. Pulse wave amplitude is the difference between the peak pressure during systole and the baseline pressure during diastole. Pulse wave amplitude corresponds to the core criteria for judging the strength and weakness, and the degree of force and thinness of the pulse in traditional Chinese medicine pulse diagnosis.

[0061] Pulse wave frequency is used to characterize the speed of a pulse. It is the number of complete pulse wave cycles per unit time, commonly measured in beats per minute (BPM). The pulse diagnostic device 100 calculates the pulse wave frequency by analyzing the peak-to-peak time intervals of continuously acquired pulse waveforms. Pulse wave frequency corresponds to the pulse rate assessment criteria in traditional Chinese medicine pulse diagnosis.

[0062] The coefficient of variation (COP) of the pulse wave period can be used to characterize the rhythmic uniformity of the pulse. The COP is a statistical value representing the dispersion of consecutive pulse wave period intervals. The pulse diagnostic device 100 can calculate the COP from multiple sets of continuous pulse wave period data. The COP corresponds to the criteria for judging pulse rhythm in traditional Chinese medicine pulse diagnosis.

[0063] The slope of the pulse wave's rising edge can be used to characterize the degree of vascular tension. The slope of the pulse wave's rising edge represents the rate at which the pulse wave rises from the resting baseline to its systolic peak, commonly measured in kPa / ms. The slope of the pulse wave's rising edge corresponds to the core diagnostic criteria for wiry and slow pulses in traditional Chinese medicine pulse diagnosis.

[0064] The change in pulse wave amplitude under different pressure gradients can be used to characterize the depth of the pulse. The change in pulse wave amplitude under different pressure gradients refers to the numerical changes and peak distributions of pulse wave amplitude collected by the pressure sensing mechanism 2 at three pressure gradients: superficial, medium, and deep. The pulse wave amplitude collected at the pressure gradient with the largest amplitude can be used to determine the depth of the pulse. This parameter perfectly aligns with the traditional Chinese medicine's three-part, nine-pulse diagnosis logic, corresponding to the core criteria for judging superficial, normal, and deep pulses.

[0065] In some embodiments, the ultrasound detection mechanism 3 of the pulse diagnostic device 100 can be used to acquire vascular feature information corresponding to the target pulse position P. The vascular feature information may include vessel wall motion signals and blood flow signals. These signals can be extracted from the ultrasound echo data acquired by the ultrasound detection mechanism 3, supplementing the deep vascular physiological information that pulse pressure signals cannot cover.

[0066] Specifically, the vascular wall motion signal may include at least one of vascular wall displacement, pulsation amplitude, rate of change of vascular diameter, and pulsation frequency.

[0067] Among these, vessel wall displacement can be used to characterize the positional changes of the vessel wall as the pulse pulsates. The ultrasound detection unit 3 can capture the real-time positional changes of the vessel wall by continuously emitting ultrasound pulses, thereby obtaining vessel wall displacement data.

[0068] Pulsation amplitude can be used to characterize the maximum displacement distance of a single pulsation of the blood vessel wall. The ultrasound detection unit 3 can calculate the pulsation amplitude of the blood vessel wall by measuring the difference in vessel wall position between the systolic and diastolic phases.

[0069] The rate of change in vessel diameter can be used to characterize the degree of vessel diameter deformation during pulse pulsation. The rate of change in vessel diameter is the ratio of the difference between the systolic and diastolic vessel diameters to the diastolic vessel diameter. Ultrasound imaging unit 3 can calculate the rate of change in vessel diameter using continuous vascular imaging data.

[0070] Pulse frequency can be used to characterize how fast the blood vessel wall pulsates with the pulse, and can be cross-validated with the pulse wave frequency collected by the pressure sensing mechanism 2 to improve data reliability.

[0071] Furthermore, the blood flow signal may include at least one of blood flow velocity and blood flow volume.

[0072] Blood flow velocity can be used to characterize the blood flow velocity within the blood vessel corresponding to the target pulse position P. The ultrasound detection unit 3 can extract data such as peak blood flow velocity and average blood flow velocity within the blood vessel through Doppler ultrasound echo signals.

[0073] Blood flow rate can be used to characterize the volume of blood flowing through the blood vessel corresponding to the target pulse position P per unit time. The ultrasound detection unit 3 can calculate the blood flow rate data by combining blood vessel diameter data and blood flow velocity data.

[0074] Therefore, multiple physical parameters of the pulse pressure signal and multiple physical parameters of vascular characteristic information can form a multi-dimensional pulse feature set. The pulse diagnostic device 100 can select a single parameter for acquisition and analysis, or select multiple parameters for fusion analysis, depending on the application scenario. The multi-dimensional feature parameters can comprehensively cover the core judgment dimensions of traditional Chinese medicine pulse diagnosis, while realizing the fully digital and objective expression of pulse information and eliminating the subjective errors of manual pulse diagnosis.

[0075] In some embodiments, the ultrasound detection mechanism 3 can also acquire pulse wave velocity (PWV). Thus, pulse wave velocity can complement parameters such as the rate of change of vessel diameter and blood flow velocity, further quantifying and distinguishing easily confused pulse types in traditional Chinese medicine pulse diagnosis, such as wiry pulse, tense pulse, and slow pulse, enriching the dimensions of dual-modal pulse characteristics, and further improving the accuracy of pulse identification. Simultaneously, pulse wave velocity can be cross-validated with the pulse wave rise slope acquired by the pressure sensing mechanism 2, improving the reliability of detecting parameters related to vascular tension.

[0076] In some embodiments, the ultrasonic testing mechanism 3 and the pressure sensing mechanism 2 acquire signals synchronously.

[0077] In specific implementation, synchronous acquisition refers to the fact that within a complete pulse detection cycle, both the ultrasound detection mechanism 3 and the pressure sensing mechanism 2 are in a ready-to-work state, and their acquisition actions are coordinated. The acquired vascular feature information and pulse pressure signal correspond to the same physiological state and the same pressure conditions of the target pulse position P. As one implementation method, the ultrasound detection mechanism 3 and the pressure sensing mechanism 2 can start acquisition strictly synchronously at the same time, simultaneously acquiring the corresponding vascular feature information and pulse pressure signal; this method can achieve the highest time alignment accuracy, and is particularly suitable for the acquisition requirements of high dynamic pulse signals.

[0078] As another implementation, the ultrasound detection mechanism 3 and the pressure sensing mechanism 2 can also adopt a time-division multiplexing strategy, that is, to complete the acquisition in turn, and start the acquisition action sequentially within a single pulse pulsation cycle; the single acquisition time of both types of sensors is much shorter than the pulse pulsation cycle, ensuring that all data acquisition is completed within the same pulse pulsation cycle, and the two sets of data finally output still strictly correspond to the target pulse position P under the same physiological state.

[0079] This ensures that the pulse pressure signal is perfectly matched with the time axis of the blood vessel wall motion signal and blood flow signal, providing an accurate temporal basis for subsequent dual-modal feature fusion and avoiding feature extraction errors caused by signal misalignment.

[0080] In some embodiments, during the application of gradient pressure by the pressure sensing mechanism 2 to the at least three target pulse points P, the ultrasound detection mechanism 3 acquires the vessel wall motion signal and the blood flow signal of the vascular region corresponding to each of the target pulse points P at each pressure.

[0081] In a typical application scenario, whenever the pressure sensing mechanism 2 switches to a new gradient pressure level, the ultrasound detection mechanism 3 can initiate signal acquisition for the corresponding target pulse position P. The ultrasound detection mechanism 3 can acquire vascular wall motion signals and blood flow signals at the corresponding pressure levels for the three independent target pulse positions P (cun, guan, and chi). Each set of vascular feature information acquired by the ultrasound detection mechanism 3 corresponds one-to-one with the pulse pressure signal acquired by the pressure sensing mechanism 2 at the current gradient pressure level. Therefore, it is possible to fully acquire the pulse mechanics and vascular physiological characteristics corresponding to the target pulse position P under each pulse-taking pressure level (superficial, middle, and deep), replicating the pulse-taking logic of the traditional Chinese medicine's three-part, nine-pulse system, ensuring that each set of bimodal data corresponds to the same pressure state, and avoiding data confusion under different pressure levels.

[0082] In some embodiments, continue to refer to Figure 2The ultrasound detection mechanism 3 is an ultrasound sensor array, which includes at least three ultrasound sensor units 31. The at least three ultrasound sensor units 31 are arranged one-to-one with the at least three target pulse positions P. The scanning area of ​​each ultrasound sensor unit 31 covers the radial artery segment of the corresponding target pulse position P, which is used to complete the localization of the corresponding target pulse position P and simultaneously collect the vascular feature information corresponding to each target pulse position P.

[0083] Specifically, the target pulse position P corresponds to three independent pulse diagnosis points (cun, guan, and chi) at the radial artery on the wrist 200°. Three ultrasound sensing units 31 are respectively set for the three target pulse positions P. The detection area of ​​each ultrasound sensing unit 31 covers the radial artery segment below the corresponding target pulse position P. Each ultrasound sensing unit 31 can independently acquire vascular feature information of the corresponding target pulse position P. Multiple ultrasound sensing units 31 can start acquisition operations simultaneously, ensuring that the signals of the three target pulse positions P are acquired in the same time dimension, and can also be aligned with the acquisition sequence of the pressure sensing mechanism 2.

[0084] Therefore, the one-to-one correspondence between the ultrasound sensing unit 31 and the target pulse position P can avoid crosstalk between vascular signals from different pulse positions, ensure that the vascular feature information of each pulse position comes from the corresponding detection area, and improve the accuracy of the signal.

[0085] In some embodiments, the ultrasonic sensor array operates at a frequency of 15MHz to 25MHz. High-frequency ultrasound of 15MHz to 25MHz falls within the superficial ultrasound band and can be used to detect the structure and movement of superficial blood vessels such as the radial artery in the human wrist. Ultrasonic signals in this band can achieve high-resolution imaging within superficial tissues, clearly identifying the boundaries of the radial artery's wall, while accurately capturing low-velocity blood flow signals within the vessel. This avoids the problems of low-frequency ultrasound penetrating too deeply and having insufficient superficial resolution, making it suitable for superficial detection scenarios involving the radial artery in the wrist.

[0086] In some embodiments, the sampling frequency of the ultrasound sensing array is not less than 100 Hz. A sampling frequency of not less than 100 Hz can be used to fully capture continuous signal changes within the pulse pulsation cycle, avoid the loss of waveform details caused by too low a sampling frequency, ensure the integrity of blood vessel wall motion signals and blood flow signals, and provide sufficient raw data for subsequent parameter extraction.

[0087] In some embodiments, the ultrasound sensing array emits pulse waves at a period of 10 ms. A 10 ms emission period corresponds to a pulse emission frequency of 100 times per second, which can be matched with a sampling frequency of not less than 100 Hz. This emission period ensures that within each pulse cycle, the ultrasound sensing array can acquire a sufficient number of sampling points to reconstruct the continuous movement of the blood vessel wall with each pulse.

[0088] In some embodiments, the ultrasonic sensing array includes at least three subarrays; wherein each ultrasonic sensing unit 31 includes at least one subarray, the subarray being composed of at least four ultrasonic transducer units arranged to form a planar or linear array scanning imaging.

[0089] In practical engineering implementation, the subarray can adopt various arrangement forms, including but not limited to 2×2 block type, 1×4 linear type, and 3×3 matrix type. Among them, the subarray with 2×2 block type arrangement can obtain a larger effective scanning area within a limited installation space, better adapt to the slight deviation of the radial artery direction of different users, and further improve the fault tolerance of pulse position positioning and the stability of signal acquisition; at the same time, it can completely cover the width and axial length of the radial artery, avoid the signal partiality caused by single-point acquisition, and can completely capture the overall motion state of the blood vessel cross section, improving the detection accuracy of parameters such as blood vessel diameter and wall displacement.

[0090] It should be noted that the transducer material of the ultrasonic transducer unit described above is not limited to piezoelectric ceramics. In other embodiments, the ultrasonic transducer unit may also be made of at least one of piezoelectric composite materials, piezoelectric polymers (such as polyvinylidene fluoride, PVDF), and capacitive micromechanical ultrasonic transducers (CMUTs).

[0091] For example, when using PVDF piezoelectric thin film to fabricate ultrasonic transducers, better flexibility can be obtained, allowing the subarray to fit the curved surface of the wrist 200 under test more closely, improving the acoustic coupling efficiency of ultrasonic signals and reducing signal transmission loss.

[0092] For example, when using a CMUT array to fabricate an ultrasound transducer, the ultrasound operating frequency can be further increased to 30MHz to 70MHz, achieving ultra-high frequency and ultra-high resolution imaging of the blood vessel wall structure, more accurately capturing the minute movements and deformation details of the blood vessel wall, and improving the recognition accuracy of complex pulse patterns such as wiry pulses and choppy pulses.

[0093] Those skilled in the art can flexibly select appropriate subarray arrangement and transducer materials based on the specific form, performance requirements and cost control requirements of the wearable pulse diagnostic device 100.

[0094] In some embodiments, the gradient pressure includes at least a first pressure, a second pressure, and a third pressure, wherein the first pressure, the second pressure, and the third pressure increase sequentially.

[0095] In a typical application scenario, the first pressure is the lowest applied pressure in the gradient pressure, the second pressure is the medium applied pressure, and the third pressure is the highest applied pressure. The pressure sensing mechanism 2 can switch the output states of the first, second, and third pressures sequentially from light to heavy. The pressure sensing mechanism 2 can also output a fixed pressure level individually according to diagnostic needs. The three progressively increasing pressure settings can fully cover all the diagnostic intensities of superficial, medium, and deep palpation in traditional Chinese medicine pulse diagnosis, replicating the core logic of the three-part, nine-pulse diagnosis method of traditional Chinese medicine. The pressure sensing mechanism 2 can collect pulse pressure signals at three different pressure levels for the three target pulse positions P (cun, guan, chi), avoiding the problem of incomplete pulse diagnosis information caused by single pressure acquisition.

[0096] Therefore, the three progressively increasing pressure settings can transform the pulse diagnosis strength that traditional Chinese medicine relies on the doctor's touch into a quantifiable and reproducible standardized pressure output, eliminating the subjective error of varying pressure strength in manual pulse diagnosis and providing a unified standard of strength for the objective collection of pulse information.

[0097] In some embodiments, the first pressure is 10 kPa.

[0098] In some embodiments, the second pressure is 30 kPa.

[0099] In some embodiments, the third pressure is 50 kPa.

[0100] The values ​​of the above three pressure gradients were determined based on a comprehensive analysis of traditional Chinese medicine pulse diagnosis theory and clinical practice experience. In the "lifting, pressing, and searching" technique of pulse diagnosis in Traditional Chinese Medicine, "superficial palpation" corresponds to light pressure, with a pressure range of approximately 5 kPa to 15 kPa, used to examine the functional state of the body surface and the lungs and wei qi; "middle palpation" corresponds to moderate pressure, with a pressure range of approximately 20 kPa to 40 kPa, used to examine the functional state of the spleen and stomach in the middle jiao; and "deep palpation" corresponds to heavy pressure, with a pressure range of approximately 40 kPa to 60 kPa, used to examine the deep viscera and the functional state of the kidneys.

[0101] Therefore, based on the above-mentioned TCM theories and clinical practice experience, 10kPa, 30kPa, and 50kPa are adopted as the standard values ​​for three levels of pressure gradient to quantitatively simulate the three pressure degrees of traditional TCM pulse diagnosis (superficial, middle, and deep). This achieves standardization and repeatability of pulse collection and eliminates the subjective error of varying pressure degrees in manual pulse diagnosis.

[0102] In one variation, the values ​​of the first, second, and third pressure levels can be adaptively adjusted based on the thickness of the subcutaneous fat on the user's wrist and the depth of the radial artery. For example, for users with thicker subcutaneous fat and a deeper radial artery, the value of the third pressure level can be appropriately increased to ensure that the applied pressure is effectively transmitted to the radial artery, improving the quality of pulse pressure signal acquisition. For users with thinner subcutaneous fat and a shallower radial artery, the value of the third pressure level can be appropriately decreased to avoid excessive pressure that could lead to vascular occlusion, ensuring the effectiveness of signal acquisition.

[0103] In some embodiments, each pressure level in the gradient pressure is maintained for a preset time interval.

[0104] Specifically, within a preset time interval of a single pressure level, the pressure sensing mechanism 2 continuously acquires the pulse pressure signal at the corresponding target pulse position P. Simultaneously, the ultrasound detection mechanism 3 synchronously acquires the vessel wall motion signal and blood flow signal at the corresponding target pulse position P. Therefore, the preset time interval ensures that at least two complete human pulse pulsation cycles are effectively acquired at a single pressure level, avoiding incomplete waveform information caused by excessively short acquisition time, effectively eliminating random errors from single acquisitions, and improving the stability and accuracy of the acquired data.

[0105] In some embodiments, the preset time interval can be set to 50ms.

[0106] In other embodiments, the preset time interval can be adaptively adjusted according to the user's pulse wave frequency. For example, for users with low pulse wave frequencies, the preset time interval can be appropriately extended to ensure that at least two complete pulse wave cycles are collected. For users with high pulse wave frequencies, the preset time interval can be appropriately shortened to reduce the overall detection time while ensuring data validity.

[0107] In one variation example, different preset time intervals can be set for each pressure level of the gradient pressure. For instance, a longer preset time interval can be set for the third pressure level. A longer duration ensures that the radial artery completes its deformation stabilization under heavy pressure before signal acquisition, avoiding signal interference caused by vascular deformation during pressure switching and further improving the accuracy of the depth sampling data.

[0108] Throughout the entire process of applying gradient pressure by the pressure sensing mechanism 2, the ultrasound detection mechanism 3 monitors the vascular deformation state of the radial artery corresponding to the target pulse position P in real time. Under the deep pressure level corresponding to the third pressure, it simultaneously collects real-time data on changes in vascular diameter, avoiding the problem of complete occlusion of the radial artery and loss of pulse signal due to excessive pressure. This solves the pain point of misjudgment in the process of identifying deep and hidden pulses, while ensuring that real and effective pulse signals and vascular characteristic information can be collected under all gradient pressure levels of floating, middle and deep pulses.

[0109] In some embodiments, continue to refer to Figure 2 The pulse diagnosis device 100 may further include an adjustment mechanism 5, which is used to adjust the sensing position of the pressure sensing mechanism 2 according to the position information, so that the pressure sensing mechanism 2 is aligned with the at least three target pulse positions P.

[0110] Specifically, the ultrasound detection mechanism 3 can be used to locate at least three target pulse points P on the wrist 200 to be tested. The target pulse points P correspond to the three pulse diagnosis points of cun, guan, and chi at the radial artery of the wrist 200 to be tested.

[0111] Furthermore, the ultrasound detection mechanism 3 is also used to construct an anatomical coordinate system corresponding to the wrist 200 to be tested, and to obtain the position information of the at least three target pulse points P based on the anatomical coordinate system.

[0112] Specifically, the ultrasound detection mechanism 3 can clearly identify the three-dimensional position of the subcutaneous radial artery through ultrasound echo signals, with higher positioning accuracy. It can simultaneously complete pulse location and vascular pre-scanning to construct an anatomical coordinate system corresponding to the radial artery of the wrist to be tested at 200°.

[0113] For example, the unified anatomical coordinate system takes the proximal end of the radial artery as its origin, and can be divided into three-dimensional spatial coordinate systems with the radial artery's direction as the X-axis, the perpendicular direction of the radial artery as the Y-axis, and the perpendicular direction of the skin surface as the Z-axis. The position information of the three target pulse positions P (cun, guan, chi) is stored and transmitted in the form of three-dimensional coordinates under the anatomical coordinate system, providing a unified spatial reference for the sensing position adjustment of the pressure sensing mechanism 2 and the spatiotemporal alignment of subsequent multi-module data.

[0114] Specifically, during the construction of the anatomical coordinate system, the ultrasound detection mechanism 3 first detects its own reference coordinates within the three-dimensional coordinate system to complete the calibration and locking of its spatial position. Then, based on the calibrated reference coordinates, it scans and acquires the precise three-dimensional coordinates of at least three target pulse positions P within the same anatomical coordinate system. In the subsequent position deviation calculation process, the control module 6 uses this unified anatomical coordinate system as the sole spatial reference to ensure that the current position of the pressure sensing mechanism 2, the target position of the target pulse position P, and the reference position of the ultrasound detection mechanism 3 are all calculated within the same spatial coordinate system, completely eliminating the positioning deviation caused by the inconsistency of spatial references between different modules.

[0115] In some embodiments, the ultrasound detection mechanism 3 can acquire the anatomical location signal of the radial artery of the wrist 200 to be tested, identify the direction and width of the radial artery, and the specific coordinates of the three target pulse positions P of cun, guan and chi.

[0116] Furthermore, the adjustment mechanism 5 is used to adjust the sensing position of the pressure sensing mechanism 2 according to the positioning result of the ultrasonic detection mechanism 3, so that the pressure sensing mechanism 2 is aligned with the at least three target pulse points P.

[0117] In some embodiments, the adjustment of the sensing position of the pressure sensing mechanism 2 can be achieved by adjusting its physical position. For example, the adjustment mechanism 5 can drive the pressure sensing mechanism 2 to complete multi-dimensional position adjustments in the horizontal direction and rotation angle, adapting to the differences in the radial artery direction of different users, and ensuring that each set of sensing points of the pressure sensing mechanism 2 accurately corresponds to the three target pulse positions P of Cun, Guan, and Chi.

[0118] In other embodiments, the pressure sensing mechanism 2 may not physically move, but simply lock onto and collect signals from a fixed area.

[0119] In one variation, the adjustment of the sensing position of the pressure sensing mechanism 2 can also be achieved by electronic gating without changing the physical position of the pressure sensing mechanism 2.

[0120] Of course, the two adjustment methods mentioned above can also be used in combination. Coarse alignment can be achieved by adjusting the physical position, and micron-level fine alignment can be achieved by electronic gating, further improving the alignment accuracy between the pressure sensing mechanism 2 and the target pulse position P.

[0121] Therefore, the combination of the ultrasonic testing mechanism 3 and the adjustment mechanism 5 can replace manual pulse alignment, eliminating the need for users to repeatedly adjust the wearing position and significantly reducing the difficulty of wearing the device. The automatic positioning and alignment structure can eliminate positioning deviations caused by manual wearing, ensuring consistent pulse alignment accuracy for each test and improving the repeatability and reliability of the test results.

[0122] In other embodiments, the adjustment mechanism 5 can be connected to both the pressure sensing mechanism 2 and the ultrasonic detection mechanism 3. The adjustment mechanism 5 can drive the pressure sensing mechanism 2 and the ultrasonic detection mechanism 3 to complete the position adjustment synchronously, ensuring that the pressure sensing mechanism 2 and the ultrasonic detection mechanism 3 are always aligned with the same target pulse position P, further improving the matching degree of the dual-modal signals.

[0123] In some embodiments, the pulse diagnostic device 100 may further include a control module 6. The control module 6 may communicate with the ultrasound detection mechanism 3 and the adjustment mechanism 5.

[0124] In practical applications, communication connections can be made using wired circuits or wireless communication to ensure stable transmission of control and data signals.

[0125] In one specific embodiment, the control module 6 can be used to receive the position information of the target pulse position P collected by the ultrasound detection mechanism 3.

[0126] Furthermore, the control module 6 calculates the positional deviation information between the pressure sensing mechanism 2 and the target pulse position P based on the position information, generates a corresponding sensing position adjustment command, and sends the sensing position adjustment command to the adjustment mechanism 5 to control the adjustment mechanism 5 to complete the sensing position adjustment of the pressure sensing mechanism 2.

[0127] In some embodiments, position deviation information may include multi-dimensional deviation data such as horizontal displacement deviation and rotation angle deviation.

[0128] Furthermore, after receiving the position deviation information, the adjustment mechanism 5 performs adjustments in the corresponding direction and distance based on this deviation information, ultimately adjusting the sensing position of the pressure sensing mechanism 2 so that it is aligned with the target pulse position P measured by ultrasound. In an optional implementation, the control module 6 can also have a built-in preset anatomical position database. The preset anatomical position database stores standard human radial artery distribution data, as well as standard anatomical position data corresponding to the three target pulse positions P (cun, guan, and chi).

[0129] Furthermore, the control module 6 can adapt and reference the real-time position information of the target pulse position P obtained by the ultrasound detection mechanism 3 based on the anatomical coordinate system with the standard anatomical position data in the database. It can assist in the correction of differences in wrist anatomy among different users and deviations in the initial position of the device, thereby further improving the universal adaptability of the position adjustment and the consistency of the position in multiple tests without changing the core benchmark of the actual pulse position measured by ultrasound.

[0130] Therefore, control module 6 can achieve fully automated control of the comparison, calculation, and adjustment process without manual intervention, completing the alignment of pressure sensing mechanism 2. A preset anatomical position database is used to adapt to the differences in wrist anatomy among different users, ensuring stable positioning and alignment for users of different ages, body types, and wrist sizes, thus improving the device's universal adaptability and the repeatability of test results.

[0131] In other embodiments, the preset anatomical location database can support user-defined updates or adaptive adjustments based on historical usage data. For example, for users with specific physiological structures, appropriate pulse location data can be manually entered and updated to the preset anatomical location database, further enhancing the device's personalized adaptability.

[0132] In other embodiments, the control module 6 can also communicate with the pressure sensing mechanism 2 and the ultrasonic detection mechanism 3. Based on the positioning results, the control module 6 can synchronously control the start and stop timing of data acquisition by the pressure sensing mechanism 2 and the ultrasonic detection mechanism 3. After positioning and alignment are completed, dual-modal signal acquisition is initiated to avoid the acquisition of invalid data.

[0133] In some embodiments, the positioning deviation between the adjusted pressure sensing mechanism 2 and at least three target pulse points P is no greater than 0.15 cm. The diameter of the radial artery in the human wrist is usually between 0.2 cm and 0.3 cm. A positioning deviation of no more than 0.15 cm ensures that the sensing point of the pressure sensing mechanism 2 always completely covers the radial artery and will not deviate from the blood vessel area.

[0134] The positioning deviation threshold is set based on the following objective criteria: First, the objective constraints of the radial artery's anatomical dimensions at the wrist. The outer diameter of the radial artery in the human wrist is typically between 0.2cm and 0.3cm. If the positioning deviation between the sensing point of the pressure sensing mechanism 2 and the center of the radial artery exceeds the vessel radius (approximately 0.15cm), the sensing point will be off-center from the area directly above the vessel. This results in the collected pulse pressure signal primarily originating from the soft tissue surrounding the vessel rather than the vessel itself, leading to significant signal amplitude attenuation and failing to meet the requirements for pulse diagnosis. This application sets the upper limit of the positioning deviation to 0.3cm to ensure that the sensing point of the pressure sensing mechanism 2 completely covers the radial artery region, thereby guaranteeing that the pulse pressure signal always originates directly above the vessel.

[0135] Secondly, there are clinical requirements for the precise positioning of the three pulse positions (cun, guan, chi) in Traditional Chinese Medicine (TCM). In TCM pulse diagnosis, the cun, guan, and chi positions are arranged sequentially along the radial artery, with a distance of approximately 1.0cm to 1.5cm between adjacent positions (cun ​​and guan, guan and chi). Excessive positioning deviation can not only distort the pulse signal of a single position but also cause crosstalk between adjacent positions (e.g., pressure sensor 2 may be nominally positioned at the guan position but actually collect pulse signals from the cun or chi position), leading to incorrect pulse interpretation. Controlling the positioning deviation to within 0.3cm ensures the signal independence between the three positions and avoids pulse crosstalk.

[0136] Furthermore, existing research has confirmed that ultrasound imaging technology can clearly obtain the location information of the radial artery cross-section, and the dynamic change of the distance between the radial artery cross-sectional axis and the skin can serve as an objective parameter for determining the pulse position. Based on the above technology, this application further improves the positioning accuracy from reliance on manual experience to automated, precise control by constructing an anatomical coordinate system through the ultrasound detection mechanism 3.

[0137] In some embodiments, combined with Figure 2 and Figure 3 The pressure sensing mechanism 2 includes a pressure array, which is used to apply the gradient pressure and detect the corresponding pulse pressure signal.

[0138] In some embodiments, the pressure array can be, for example, a flexible pressure array. For instance, it can be fabricated using a medical-grade flexible substrate. The flexible substrate can conform to the curvature of the skin surface of the wrist 200 being tested, ensuring a tight fit between the pressure array and the skin surface of the wrist 200, reducing signal interference and pressure loss caused by wear gaps.

[0139] Furthermore, the pressure array integrates pressure application and pressure detection functions into the same array structure, eliminating the need for separate pressure application and detection components. This integrated design significantly reduces the overall size of the pressure sensing mechanism 2, adapting to the miniaturization and lightweight design requirements of wearable devices.

[0140] In some embodiments, the pressure array may incorporate a miniature piezoelectric ceramic actuator. This actuator can output a continuously adjustable pressure from 0 kPa to 50 kPa, precisely switching between different pressure levels with a force application accuracy of ±1 kPa. The pressure-sensitive sensing unit of the pressure array has a sampling frequency of at least 100 Hz, enabling complete capture of the continuous waveform details of the pulse, providing sufficient raw data for subsequent parameter extraction of the pulse pressure signal.

[0141] In one variation, the pressure array integrates a closed-loop feedback circuit. This circuit compares the target pressure value of the gradient pressure with the actual pressure value detected by the pressure array in real time. Based on the comparison results, the closed-loop feedback circuit dynamically calibrates the pressure output of the pressure array, ensuring the stability of the gradient pressure application, eliminating application errors caused by skin deformation and soft tissue compression, and further improving the consistency and reliability of pulse pressure signal acquisition.

[0142] Figure 3 A schematic diagram of the pressure sensing mechanism 2 facing the side surface of the wrist 200 to be tested is shown as an example.

[0143] In some embodiments, reference Figure 3 The pressure array may include 3n pressure-sensitive sensing points 21. Each pressure-sensitive sensing point 21 can be used to apply pressure to the target pulse position P. Simultaneously, each pressure-sensitive sensing point 21 can be used to acquire the pulse pressure signal of the corresponding target pulse position P. Here, n ≥ 1 and is a positive integer.

[0144] In some embodiments, the pressure-sensitive sensing point 21 may, for example, employ a piezoresistive sensing structure or a piezoresistive sensing structure.

[0145] In a specific embodiment, n can be, for example, equal to 3, that is, a total of 9 pressure-sensitive sensing points 21, which are divided into three groups. Each group of 3 pressure-sensitive sensing points 21 corresponds to the same target pulse position P. As mentioned above, the target pulse position P includes three independent pulse diagnosis points at the radial artery of the wrist to be tested: cun, guan, and chi. The three groups of pressure-sensitive sensing points 21 can be arranged one-to-one with the three target pulse positions P: cun, guan, and chi.

[0146] In some embodiments, the three pressure-sensitive sensing points 21 in each group correspond to three gradient pressure levels: floating, middle, and sinking, respectively, and collect pulse pressure signals of the corresponding target pulse position P under different gradient pressure levels.

[0147] In some embodiments, each group of three pressure-sensitive sensing points 21 can independently output gradient pressure at different levels. For the same target pulse position P, the three pressure-sensitive sensing points 21 adopt a time-sequential gradient output method, sequentially outputting the first pressure, the second pressure, and the third pressure.

[0148] In an exemplary application scenario, three pressure-sensitive sensing points 21 sequentially switch between gradient pressure levels in the order of first pressure corresponding to floating, second pressure corresponding to medium pressure, and third pressure corresponding to sinking, with each pressure level lasting for a preset time interval of 50ms. During the duration of a single pressure level, only the pressure-sensitive sensing point 21 corresponding to the current level completes pressure output and pulse pressure signal acquisition, while the other two pressure-sensitive sensing points 21 remain in standby mode. This completely avoids the interference from skin soft tissue deformation and uneven vascular stress caused by simultaneous output of different pressure levels, ensuring that the pulse pressure signal at each pressure level originates from a stable and interference-free pressure state, resulting in higher signal acquisition accuracy.

[0149] In some embodiments, the area of ​​the three pressure-sensitive sensing points 21 corresponding to the same target pulse point P is smaller than the area of ​​the effective acupoint area corresponding to the target pulse point P.

[0150] Specifically, in TCM clinical practice, the effective acupoint area for a single target pulse point P (cun, guan, chi) has an axial length of 0.8cm to 1cm along the radial artery and a radial width of 0.3cm to 0.5cm perpendicular to the radial artery. The overall axial length and radial width of the three pressure-sensitive sensor points 21 corresponding to the same target pulse point P are no greater than 0.8cm, and the area of ​​the three pressure-sensitive sensor points 21 falls completely within the effective acupoint area of ​​the corresponding target pulse point P. This ensures that all three pressure-sensitive sensor points 21 are aligned with the radial artery segment of the same target pulse point P, and that the acquired signals all originate from the same TCM pulse diagnosis point, preventing pulse crosstalk and acupoint deviation.

[0151] In other embodiments, the number of pressure-sensitive sensing points 21 can be expanded according to detection requirements. For example, five pressure-sensitive sensing points 21 can be set for each target pulse position P, and a total of 15 pressure-sensitive sensing points 21 can be set for the pressure array. A larger number of pressure-sensitive sensing points 21 can increase the coverage density of the acquisition area, adapt to users with special radial artery directions, and further improve the comprehensiveness of signal acquisition.

[0152] Therefore, the grouped arrangement of the nine pressure-sensitive sensor points 21 can be adapted to the pulse diagnosis logic of the three parts and nine pulses in traditional Chinese medicine, while realizing the integrated function of pressure application and detection. Each pressure-sensitive sensor point 21 is independently controllable, which can flexibly adapt to different detection needs, while ensuring that the signal of each pulse position and each pressure gradient can be collected independently without interference, providing comprehensive and stable raw data for subsequent pulse feature extraction and recognition.

[0153] In some embodiments, the pulse diagnostic device 100 may further include a temperature detection module 4. Furthermore, the temperature detection module 4 is used to collect skin temperature data, providing quantitative data support for traditional Chinese medicine's differentiation of cold and heat syndromes.

[0154] Furthermore, the temperature detection module 4 can be positioned on the side of the wearable body 1 that is close to the wrist 200 to be tested.

[0155] In some embodiments, the temperature detection module 4 may share the same anatomical coordinate system with the ultrasonic detection mechanism 3 and the pressure sensing mechanism 2.

[0156] In some embodiments, the temperature detection module 4 is used to collect skin temperature data corresponding to each of the at least three target pulse points P. The temperature measurement area of ​​the temperature detection module 4 is arranged one-to-one with the at least three target pulse points P, and the position of the temperature measurement area is calibrated based on the positioning result of the ultrasound detection mechanism 3 to ensure that the temperature data comes only from the skin area corresponding to the target pulse point P.

[0157] In an optional implementation, the temperature detection module 4 is an infrared temperature measurement module, which adopts an infrared temperature measurement array structure. The infrared temperature measurement array includes at least three infrared sensing units, and the at least three infrared sensing units correspond one-to-one with three target pulse points P (cun, guan, chi), for synchronously collecting skin temperature data of each target pulse point P.

[0158] In some embodiments, the temperature resolution of the temperature detection module 4 is not less than 0.05℃. This allows for the accurate identification of minute temperature differences of 0.5℃ to 1.5℃ between target pulse points.

[0159] Combining the theory of pulse diagnosis based on the three regions and nine pulse points in traditional Chinese medicine, under normal physiological conditions, the skin temperature of the three target pulse points P at the radial artery of the wrist shows a stable distribution pattern with the highest temperature at the cun position, followed by the guan position, and the lowest temperature at the chi position. When the overall skin temperature of the three regions rises synchronously, it can correspond to the quantitative judgment basis of heat syndrome in traditional Chinese medicine. When the skin temperature of a single or multiple pulse points deviates abnormally from the physiological pattern, it can correspond to the quantitative judgment basis of cold or heat syndrome in traditional Chinese medicine. Thus, the traditional Chinese medicine differentiation of cold and heat based on the physician's finger sensation is transformed into quantifiable and reproducible objective temperature data.

[0160] During the detection process, the temperature detection module 4, the ultrasound detection mechanism 3, and the pressure sensing mechanism 2 collect data synchronously. Based on the same anatomical coordinate system and the same time sequence, they acquire skin temperature data, vascular feature information, and pulse pressure signals of the target pulse position P, providing a complete data source for subsequent multimodal pulse fusion recognition.

[0161] In some embodiments, the temperature detection module 4, the pressure sensing mechanism 2, and the ultrasonic detection mechanism 3 can be arranged in various integrated structures to adapt to different application scenarios and technical requirements.

[0162] In a specific application scenario, a spatially separated integrated structure can be adopted, suitable for prototype verification and low-cost mass production. For example, the temperature detection module 4 is placed at the center of the wearable body 1, and a physical cutout window is set in the wristband area directly below the temperature detection module 4 on the wearable body 1, allowing infrared light to directly penetrate to the skin surface of the wrist 200 to be tested. The flexible pressure sensing mechanism 2 and the ultrasonic detection mechanism 3 are arranged in a U-shape around the cutout window, or respectively arranged on both sides of the cutout window, and the detection surfaces of the pressure sensing mechanism 2 and the ultrasonic detection mechanism 3 are in close contact with the skin surface of the wrist 200 to be tested. The piezoelectric ceramic ultrasonic unit of the ultrasonic detection mechanism 3 is set to conform to the curvature of the wrist 200 to be tested, and acoustic coupling with the skin can be achieved through medical ultrasonic gel or medical-grade transparent silicone film to ensure effective transmission and reception of ultrasonic signals.

[0163] In another application scenario, a layered transparent integrated structure can be used to achieve simultaneous acquisition of three-modal signals from the same target pulse position P. For example, a transparent solid-state coupling film can be prepared using special polymer materials such as infrared-transparent acrylic (PMMA). The acoustic impedance of this film matches that of human soft tissue, making it suitable as a solid-state coupling medium for ultrasound detection. Simultaneously, this film has a transmittance of 80%–95% for near-infrared light above 720 nm, ensuring effective transmission of infrared temperature measurement signals. The layered structure, from the side closest to the skin of the wrist 200 mm away from the skin, consists of: an array-type pressure sensing layer of the pressure sensing mechanism 2, a transparent solid-state coupling film, and an array-type ultrasound sensing layer of the ultrasound detection mechanism 3. The temperature detection module 4 is positioned between the units of the ultrasound sensing layer or behind the ultrasound sensing layer, directly acquiring skin temperature data corresponding to the target pulse position P through the transparent solid-state coupling film.

[0164] In another application scenario, an infrared-transparent capacitive micromechanical ultrasonic transducer (CMUT) integrated structure can be adopted to achieve a completely integrated deployment of the three-modal sensors. Specifically, the ultrasonic detection mechanism 3 uses an infrared-transparent capacitive micromechanical ultrasonic transducer chip, allowing the ultrasonic detection optical path and the infrared temperature measurement optical path to completely share the same physical space; the temperature detection module 4 is located behind the ultrasonic transducer chip, directly collecting skin temperature data through the ultrasonic transducer chip, without the need for additional optical windows or separate deployment structures, enabling the most compact conformal wearable design.

[0165] In some embodiments, combined with Figure 2 The pulse diagnosis device 100 also includes a signal processing module 7.

[0166] Furthermore, the signal processing module 7 communicates with the pressure sensing mechanism 2 and the ultrasonic detection mechanism 3 respectively.

[0167] In some embodiments, the communication connection can be a wired circuit connection or a wireless communication connection to ensure stable transmission of acquired signals and control commands.

[0168] In a typical application scenario, the signal processing module 7 is used at least to filter, amplify, and perform analog-to-digital conversion on pulse pressure signals, blood vessel wall motion signals, and blood flow signals. The pulse pressure signal is acquired from the output of the pressure sensing mechanism 2, while the blood vessel wall motion and blood flow signals are acquired from the output of the ultrasound detection mechanism 3. The original acquired signals are mostly weak analog electrical signals, easily affected by environmental noise and motion interference. The signal processing module 7 can first amplify the original analog signals to improve the signal-to-noise ratio of the weak signals. The signal processing module 7 can then filter the amplified signals to remove invalid noise caused by motion interference, power frequency interference, and environmental noise, retaining the effective signals related to pulse pulsation, blood vessel motion, and blood flow changes. Finally, the signal processing module 7 can perform analog-to-digital conversion on the filtered analog signals, converting continuous analog electrical signals into digital signals that can be calculated, analyzed, and stored, providing a standardized digital data source for subsequent feature extraction and pulse pattern recognition.

[0169] In some embodiments, the signal processing module 7 can integrate a low-power MCU (Microcontroller Unit), an analog-to-digital converter, and a filtering circuit. The low-power MCU can be an STM32L431 series chip, balancing the device's low-power operation requirements with signal processing computing power requirements. The signal processing module 7 can be used to achieve time synchronization acquisition of the pressure sensing mechanism 2 and the ultrasonic detection mechanism 3, with a synchronization acquisition error of no more than 0.1ms. The signal processing module 7 can output a unified synchronization trigger signal, simultaneously sending it to both the pressure sensing mechanism 2 and the ultrasonic detection mechanism 3, ensuring complete alignment of the time axes of the two types of signals and avoiding feature matching errors caused by signal timing misalignment.

[0170] In some embodiments, the signal processing module 7 incorporates a noise reduction algorithm unit. This unit utilizes a combination of wavelet transform and adaptive filtering to eliminate motion interference and environmental noise in the acquired signal, further enhancing the purity of the effective signal. The signal processing module 7 also incorporates an offline storage unit. This unit supports at least 7 days of offline storage of acquired data, allowing users to perform long-term continuous pulse monitoring without real-time connection to a smart terminal, thus meeting the needs of various scenarios such as home and travel.

[0171] Therefore, signal processing module 7 can complete the entire preprocessing of the dual-modal raw signal, providing a stable, clean, and time-aligned standardized digital signal for subsequent pulse analysis. By integrating signal preprocessing functions into the device itself, signal processing module 7 eliminates the need for external terminals, significantly improving the device's independence and portability. It also reduces signal loss and distortion during transmission, further enhancing the accuracy of detection results.

[0172] In one variation, the signal processing module 7 can communicate simultaneously with the control module 6. The signal processing module 7 can synchronously send the pre-processed digital signal to the control module 6. The control module 6 can dynamically adjust the gradient pressure output of the pressure sensing mechanism 2 and the acquisition parameters of the ultrasonic detection mechanism 3 according to the signal quality, forming a closed-loop control of acquisition-processing-feedback, further improving the signal acquisition quality. In other embodiments, the signal processing module 7 can be equipped with multi-channel independent processing circuits. Each channel corresponds to the pressure signal and ultrasonic signal of a target pulse position P, respectively. Multiple channels can be processed synchronously and independently, avoiding crosstalk between signals from different pulse positions and improving the efficiency and accuracy of signal processing.

[0173] In some embodiments, combined with Figure 2 The pulse diagnosis device 100 also includes a pulse comparison module 8.

[0174] In some embodiments, the pulse comparison module 8 can be integrated inside the wearable body 1. The pulse comparison module 8 can communicate with the signal processing module 7 to receive preprocessed pulse pressure signals, blood vessel wall motion signals, and blood flow signal digital feature data.

[0175] In other embodiments, the pulse comparison module 8 can also be located on a cloud server. The cloud server and the pulse diagnosis device 100 establish a bidirectional data communication connection via a wireless communication unit. The signal processing module 7 of the pulse diagnosis device 100 can upload the pre-processed digital feature data of pulse pressure signal, blood vessel wall motion signal, and blood flow signal to the pulse comparison module 8 on the cloud server via the wireless communication unit. After completing feature comparison, pulse identification, and syndrome matching, the pulse comparison module 8 can send the diagnostic results back to the pulse diagnosis device 100 or simultaneously send them to the user's bound smart terminal.

[0176] In some embodiments, the pulse comparison module 8 can be used to compare the pulse pressure signal, blood vessel wall motion signal and blood flow signal with a preset pulse feature database to determine the corresponding pulse type.

[0177] In a typical application scenario, the preset pulse feature library can include a traditional Chinese medicine pulse feature atlas library, storing ultrasound-pressure dual-modal parameter thresholds corresponding to 28 traditional Chinese medicine pulse types. The pulse comparison module 8 can extract the corresponding feature parameters from the preprocessed dual-modal signal, compare and match the extracted feature parameters with the standard parameter thresholds in the preset pulse feature library, and finally determine the pulse type corresponding to the currently acquired signal, including traditional Chinese medicine pulse types such as wiry pulse, slippery pulse, floating pulse, and deep pulse.

[0178] Furthermore, after pulse type identification, the pulse comparison module 8 can combine traditional Chinese medicine (TCM) diagnostic logic to match the corresponding TCM syndrome types. For example, a wiry pulse corresponds to liver qi stagnation syndrome, and a slippery pulse corresponds to phlegm-dampness obstruction syndrome. Based on the identified pulse type and the matched syndrome, the pulse comparison module 8 can generate corresponding health suggestions, completing the full pulse diagnosis output.

[0179] In some embodiments, the pulse comparison module 8 can incorporate a lightweight neural network model. The lightweight neural network model has no more than 1M parameters and can run offline on the MCU of the pulse diagnosis device 100. It can complete pulse recognition calculations without connecting to a cloud server, effectively protecting the user's health data privacy, while reducing the device's dependence on network connectivity and adapting to usage scenarios without network access.

[0180] Therefore, the pulse comparison module 8 can achieve fully automated and objective pulse identification, eliminating reliance on the subjective experience of TCM practitioners to determine pulse types. This effectively solves the technical problems of traditional Chinese medicine pulse diagnosis, such as strong subjectivity, difficulty in quantification, and difficulty in reproducing results. Based on the comparison and identification of pressure-ultrasound dual-modal signals, the accuracy of pulse identification can be significantly improved, effectively distinguishing easily confused similar pulses and further enhancing the reliability of diagnostic results.

[0181] In one variation, the preset pulse feature library supports firmware upgrades and updates. Based on updated clinical validation data and traditional Chinese medicine diagnostic theories, the parameter thresholds and matching logic in the pulse feature library can be optimized and improved, continuously enhancing the accuracy of pulse recognition.

[0182] In other embodiments, the pulse comparison module 8 can be configured with a suspected pulse pattern marking function. When only one dimension of the dual-modal feature parameters meets the standard threshold, the pulse comparison module 8 can mark the pulse pattern as a suspected pulse pattern, prompting the user to conduct clinical review to avoid misjudgment and further improve the rigor of the diagnostic results.

[0183] To address the technical problems of the prior art, embodiments of the present invention also provide a pulse identification method. This method can be applied to the above-mentioned... Figures 1 to 3 The pulse diagnosis device 100 shown in the embodiment and other similar embodiments.

[0184] Next, we will combine Figures 1 to 3 The illustrated embodiments provide an exemplary description of the method.

[0185] Specifically, the method includes: locating at least three target pulse points P on the wrist 200 to be tested; applying gradient pressure to the at least three target pulse points P and acquiring pulse pressure signals of the at least three target pulse points P under the action of the gradient pressure; acquiring vascular feature information and temperature data corresponding to each of the at least three target pulse points P; comparing the pulse pressure signals, the vascular feature information and the temperature data with a preset pulse feature database to determine the corresponding pulse type.

[0186] Furthermore, the method also includes: constructing an anatomical coordinate system corresponding to the wrist 200 to be tested, and obtaining the position information of the at least three target pulse points P based on the anatomical coordinate system.

[0187] It should be understood that the term "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone. Additionally, the character " / " in this document indicates that the preceding and following related objects are in an "or" relationship. As used herein, unless explicitly stated otherwise, the term "or" covers all possible combinations unless impractical. For example, if a component is declared to include A or B, then unless explicitly stated otherwise or impractical, the component can include A, or B, or A and B. As a second example, if a component is declared to include A, B, or C, then unless explicitly stated otherwise or impractical, the component can include A, or B, or C, or A and B, or A and C, or B and C, or A and B and C.

[0188] The term "multiple" in the embodiments of this application refers to two or more entities. Relational terms appearing in the embodiments of this application, such as "first," "second," etc., are used only to distinguish an entity or operation from another entity or operation, without requiring or implying any actual relationship or order between these entities or operations. Furthermore, the words "comprising," "having," and "including," and other similar forms, are intended to be equivalent in meaning and are open-ended; one or more items following any of these words do not imply an exhaustive list of such items or that they are limited to only the listed items. Exemplary embodiments have been disclosed in the drawings and specification. However, many variations and modifications can be made to these embodiments. Therefore, although specific terminology is used, it is used only in a general and descriptive sense and not for limiting purposes.

[0189] While the present invention has been disclosed above, it is not limited thereto. Any person skilled in the art can make various modifications and alterations without departing from the spirit and scope of the invention; therefore, the scope of protection of the present invention should be determined by the scope defined in the claims.

Claims

1. A pulse diagnosis device, characterized in that, include: A wearable body for wearing on the wrist to be tested, the wearable body being provided with a pressure sensing mechanism and an ultrasonic detection mechanism; in The ultrasonic 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 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 positions.

2. The pulse diagnosis device according to claim 1, characterized in that, The at least three target pulse points are located on the radial artery of the wrist being tested.

3. The pulse diagnosis device according to claim 1, characterized in that, The ultrasound detection mechanism is also used to construct an anatomical coordinate system corresponding to the wrist to be tested, and to obtain the position information of the at least three target pulse points based on the anatomical coordinate system.

4. The pulse diagnosis device according to claim 3, characterized in that, Also includes: An adjustment mechanism is used to adjust the sensing position of the pressure sensing mechanism according to the position information, so that the pressure sensing mechanism is aligned with the at least three target pulse points.

5. The pulse diagnosis device according to claim 4, characterized in that, After adjustment, the positioning deviation between the pressure sensing mechanism and the at least three target pulse points is no greater than 0.15 cm.

6. The pulse diagnosis device according to claim 4, characterized in that, Also includes: The control module communicates with the ultrasonic testing mechanism and the adjustment mechanism. The control module is used to receive the position information, calculate the position deviation information between the pressure sensing mechanism and the target pulse position based on the position information, generate a corresponding sensing position adjustment command, and send the sensing position adjustment command to the adjustment mechanism to control the adjustment mechanism to complete the sensing position adjustment of the pressure sensing mechanism.

7. The pulse diagnostic device according to claim 1, characterized in that, The pulse pressure signal includes at least one of the following: pulse wave amplitude, pulse wave frequency, pulse wave period variation coefficient, pulse wave rise slope, and pulse wave amplitude variation under different pressure gradients.

8. The pulse diagnostic device according to claim 1, characterized in that, The vascular feature information includes vascular wall motion signals and blood flow signals, wherein The vessel wall motion signal includes at least one of vessel wall displacement, pulsation amplitude, rate of change of vessel diameter, and pulsation frequency; and / or The blood flow signal includes at least one of blood flow velocity and blood flow rate.

9. The pulse diagnostic device according to claim 8, characterized in that, The ultrasonic testing mechanism and the pressure sensing mechanism synchronously acquire signals; and / or During the application of gradient pressure to the at least three target pulse points by the pressure sensing mechanism, the ultrasound detection mechanism acquires the vessel wall motion signal and the blood flow signal of the vascular region corresponding to each of the target pulse points at each pressure.

10. The pulse diagnostic device according to claim 8, characterized in that, Also includes: The signal processing module communicates with the pressure sensing mechanism and the ultrasound detection mechanism respectively. The signal processing module is at least used to filter, amplify and convert the pulse pressure signal, the blood vessel wall motion signal and the blood flow signal into digital form.

11. The pulse diagnostic device according to claim 1, characterized in that, Also includes: A temperature detection module is installed on the wearable body to collect temperature data corresponding to each of the at least three target pulse points.

12. The pulse diagnostic device according to claim 11, characterized in that, The temperature detection module includes an infrared temperature measurement module.

13. The pulse diagnostic device according to claim 11, characterized in that, Also includes: The pulse comparison module is used at least to compare the pulse pressure signal, the vascular feature information, and the temperature data with a preset pulse feature database to determine the corresponding pulse type.

14. The pulse diagnostic device according to claim 1, characterized in that, The ultrasound detection mechanism is an ultrasound sensor array, which includes at least three ultrasound sensor units. The at least three ultrasound sensor units are arranged one-to-one with the at least three target pulse positions, and the scanning area of ​​each ultrasound sensor unit covers the radial artery segment of the corresponding target pulse position.

15. The pulse diagnostic device according to claim 14, characterized in that, The ultrasonic sensing array operates at a frequency of 15MHz to 25MHz, and its sampling frequency is not less than 100Hz; and / or The ultrasonic sensing array emits pulse waves at a period of 10ms.

16. The pulse diagnostic device according to claim 14, characterized in that, The ultrasonic sensing array comprises at least three subarrays; wherein... Each of the ultrasonic sensing units comprises at least one set of subarrays; Each of the subarrays contains at least four ultrasonic transducer units.

17. The pulse diagnostic device according to claim 1, characterized in that, The gradient pressure includes at least a first pressure, a second pressure, and a third pressure, wherein the first pressure, the second pressure, and the third pressure increase sequentially.

18. The pulse diagnostic device according to claim 17, characterized in that, The first pressure is 10 kPa; and / or the second pressure is 30 kPa; and / or the third pressure is 50 kPa.

19. The pulse diagnostic device according to claim 17, characterized in that, Each pressure level in the gradient pressure is maintained for a preset time interval.

20. The pulse diagnostic device according to claim 1, characterized in that, The pressure sensing mechanism includes a pressure array for applying the gradient pressure at the target pulse position and detecting the corresponding pulse pressure signal.

21. The pulse diagnostic device according to claim 20, characterized in that, The pressure array includes 3n pressure-sensitive sensing points, each of which is used for pressure application and pressure detection, where n≥1 and is a positive integer; The 3n pressure-sensitive sensing points are divided into three groups, with each group of n sensing points corresponding to the same target pulse position, and are used to collect the pulse pressure signal of the corresponding target pulse position under the gradient pressure.

22. A pulse identification method, applied to the pulse diagnosis device as described in any one of claims 1-21, characterized in that, include: Locate at least three target pulse points on the wrist to be tested; Gradient pressure is applied to the at least three target pulse points and pulse pressure signals of the at least three target pulse points under the action of the gradient pressure are acquired; Collect vascular feature information and temperature data corresponding to each of the at least three target pulse points; The pulse pressure signal, the vascular feature information, and the temperature data are compared with a preset pulse feature database to determine the corresponding pulse type.

23. The method according to claim 22, characterized in that, The at least three target pulse points on the wrist to be tested include: An anatomical coordinate system corresponding to the wrist to be tested is constructed, and the position information of the at least three target pulse points is obtained based on the anatomical coordinate system.

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