Method and device for analyzing cun-guan-chi pulse condition and electronic equipment

Abstract

The invention discloses a cun-guan-chi pulse condition analysis method and device and electronic equipment, and belongs to the technical field of medical images. The method comprises the following steps: transmitting an ultrasonic signal to a radial artery; receiving the echo signal and determining original cross section data of the wrist joint; determining a target cross-sectional view based on the original cross-sectional data of the wrist joint; constructing a 3D pulse model of the radial artery based on the echo signal; key features of the cun-guan-chi pulse condition are obtained based on the 3D pulse model of the radial artery and the target cross section graph, and the cun-guan-chi pulse condition is analyzed according to the key features of the cun-guan-chi pulse condition to obtain a cun-guan-chi pulse condition 3D dynamic model and a diagnosis report. Based on the linear array and the AI interpolation algorithm, dynamic transverse collection of the cun-guan-chi pulse condition related data is achieved, dynamic multi-dimensional comprehensive collection and fine analysis of the cun-guan-chi pulse condition related data are achieved, the analysis accuracy of the cun-guan-chi pulse condition is improved through 3D modeling analysis, and multi-scene application is supported.

Description

Technical Field

[0001] The present application belongs to the field of medical imaging technology, and in particular relates to an analysis method, device and electronic equipment for Cun, Guan and Chi pulses. Background Art

[0002] In recent years, with the rapid development of medical imaging technology and artificial intelligence, the application of ultrasound technology in the field of pulse diagnosis has gradually attracted attention. Traditional pulse diagnosis mainly relies on the physician's sense of touch and experience to make judgments, and the process has the problems of strong subjectivity and limited accuracy. Modern pulse diagnosis equipment has made significant progress in the field of pulse collection and analysis by introducing ultrasound, sensors and data analysis technology.

[0003] However, these technologies still have many obvious shortcomings in terms of information collection dimensions, diagnostic accuracy and multi-scenario adaptability, such as insufficient dynamic signal capture capabilities, limited information dimensions, lack of 3D restoration and cross-sectional analysis, and insufficient adaptability and versatility.

[0004] In view of the above problems, a method, device and electronic equipment for analyzing the Cun, Guan and Chi pulses are proposed in this application. Summary of the invention

[0005] In order to solve the deficiencies of the prior art, the present application provides a method, device and electronic equipment for analyzing the Cun, Guan and Chi pulses, which solve the problems existing in the existing pulse diagnosis equipment, such as insufficient dynamic signal capture capability, limited information dimension, lack of 3D restoration and cross-sectional analysis, and insufficient adaptability and versatility.

[0006] The technical effects to be achieved by this application are achieved through the following solutions:

[0007] In a first aspect, the present application provides a method for analyzing the pulse of Cun, Guan, and Chi, the method comprising:

[0008] transmitting an ultrasonic signal to the radial artery;

[0009] receiving an echo signal and determining raw cross-sectional data of the wrist joint based on the echo signal;

[0010] determining a target cross-sectional view based on the original cross-sectional data of the wrist joint;

[0011] constructing a 3D pulsation model of the radial artery based on the echo signal;

[0012] Based on the 3D pulsation model of the radial artery and the target cross-sectional view, key features of the Cun, Guan, and Chi pulses are acquired, and according to the key features of the Cun, Guan, and Chi pulses, a 3D dynamic model of the Cun, Guan, and Chi pulses and a diagnosis report are obtained by analyzing the Cun, Guan, and Chi pulses.

[0013] In some embodiments, transmitting an ultrasonic signal to the radial artery comprises:

[0014] A linear array including N array elements is used to transmit an ultrasonic signal covering the radial artery using a segmented polling strategy, where N is a positive integer;

[0015] Dynamically changing the Z-axis orientation of the linear array to transmit ultrasonic signals at different angles so as to obtain echo signals at different angles;

[0016] The Z-axis direction refers to the direction perpendicular to the cross section of the wrist joint.

[0017] In some embodiments, when N is 1024, the segmented polling strategy is:

[0018] Divide 1024 array elements into 4 groups, where the 1st to 256th array elements are the first group of array elements, the 257th to 512th array elements are the second group of array elements, the 513th to 768th array elements are the third group of array elements, and the 769th to 1024th array elements are the fourth group of array elements;

[0019] Ultrasonic signals are transmitted in sequence from the first group of array elements to the fourth group of array elements.

[0020] In some embodiments, the receiving the echo signal and determining the original cross-sectional data of the wrist joint based on the echo signal includes:

[0021] Acquire the echo signals at different angles corresponding to the ultrasonic signals at different angles;

[0022] Determine a cross-sectional view corresponding to each angle based on the echo signal at each angle;

[0023] The cross-sectional views corresponding to various angles form a first data set, and the first data set is determined as original cross-sectional data of the wrist joint.

[0024] In some embodiments, determining a target cross-sectional view based on the original cross-sectional data of the wrist joint includes:

[0025] Based on the original cross-sectional data of the wrist joint, using a first AI interpolation algorithm to supplement missing data between different angles, to obtain a supplementary data set of the wrist joint;

[0026] Based on the original cross-sectional data of the wrist joint and the supplementary data set of the wrist joint, a target cross-sectional view is determined.

[0027] In some embodiments, before constructing a 3D pulsation model of the radial artery based on the echo signal, the method includes:

[0028] Using the second AI interpolation algorithm to supplement the missing signals of the echo signal at each angle to obtain a complete echo signal at each angle;

[0029] A 3D pulsation model of the radial artery is constructed based on the complete echo signal at each angle.

[0030] In some embodiments, key features include:

[0031] Pulse amplitude;

[0032] Beat frequency; and

[0033] Pulsation distribution.

[0034] In some embodiments, the key features of the Cun, Guan, and Chi pulses are obtained based on the 3D pulsation model of the radial artery and the target cross-sectional view, including:

[0035] Acquiring the pulsation amplitude and pulsation frequency based on the 3D pulsation model of the radial artery;

[0036] A pulsatility distribution is acquired based on the target cross-sectional image.

[0037] In a second aspect, the present application provides a device for analyzing Cun, Guan, and Chi pulses, the device comprising:

[0038] A linear array module for transmitting an ultrasound signal to a radial artery;

[0039] A signal receiving and preprocessing module, used for receiving the echo signal and determining the original cross-sectional data of the wrist joint based on the echo signal;

[0040] An AI interpolation module is used to determine a target cross-sectional image based on the original cross-sectional data of the wrist joint;

[0041] A 3D reconstruction module, used for constructing a 3D pulsation model of the radial artery based on the echo signal;

[0042] The data analysis and output module is used to obtain the key features of the Cun, Guan, and Chi pulses based on the 3D pulsation model of the radial artery and the target cross-sectional view, and analyze the Cun, Guan, and Chi pulses according to the key features of the Cun, Guan, and Chi pulses to obtain a 3D dynamic model of the Cun, Guan, and Chi pulses and a diagnosis report.

[0043] In a third aspect, the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any one of the methods described above when executing the computer program.

[0044] The analysis method, device and electronic device of the Cun, Guan and Chi pulses provided in this application are based on a linear array and an AI interpolation algorithm to achieve dynamic lateral collection of Cun, Guan and Chi pulse related data, and through a method combining 3D restoration with wrist joint cross-sectional analysis, dynamic multi-dimensional comprehensive collection and detailed analysis of Cun, Guan and Chi pulse related data are achieved. The analysis accuracy of the Cun, Guan and Chi pulses is improved through 3D modeling and analysis, and it supports multi-scenario applications and is widely applicable. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the existing technical solutions, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 The process of the analysis method of the Cun, Guan, and Chi pulses in one embodiment of the present application is as follows: Figure 1 ;

[0047] Figure 2 Schematic diagram of an analysis device for Cun, Guan, and Chi pulses in one embodiment of the present application;

[0048] Figure 3 It is a schematic block diagram of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0050] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in one or more embodiments of the present application should be understood by people with ordinary skills in the field to which the present application belongs. The "first", "second" and similar words used in one or more embodiments of the present application do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0051] Explanation of relevant professional terms involved in this application:

[0052] 1) Cun, Guan and Chi: The three pulse positions in traditional Chinese medicine pulse diagnosis correspond to different parts of the radial artery, reflecting the physiological or pathological information of different organs in the human body.

[0053] 2) 3D pulse restoration: Using high-resolution ultrasonic signal acquisition and reconstruction technology, a three-dimensional model of radial artery pulsation is generated to intuitively display pulse characteristics.

[0054] 3) Wrist cross-sectional analysis: Obtain cross-sectional information of the wrist joint area through ultrasonic signals to observe and analyze wrist structure and pulse characteristics.

[0055] 4) Linear array: An arrangement of a large number of ultrasonic detection units, used to achieve high-resolution ultrasonic signal acquisition and precise positioning.

[0056] 5) Z-axis polling: Change the angle of the ultrasonic signal transmission direction to achieve wider signal coverage and data collection through polling in the Z-axis direction.

[0057] 6) Haar transform: An efficient signal processing algorithm used to analyze ultrasonic signals at multiple scales and extract local features and temporal resolution information of the signals.

[0058] 7) AI interpolation: Use artificial intelligence algorithms to fill in the missing parts of the collected signal to restore the complete signal data.

[0059] 8) Segmented polling strategy: Divide the ultrasound array into multiple groups and dynamically send and receive signals in turn to improve the dimension and efficiency of data acquisition.

[0060] 9) Modulo operation grouping: Grouping the modular operation results according to the array element number is used to optimize the order of signal transmission and reception and the uniformity of data coverage.

[0061] The relevant pulse diagnosis technology still has many obvious deficiencies in terms of information collection dimension, diagnostic accuracy and multi-scenario adaptability:

[0062] 1. Insufficient ability to capture dynamic signals: Existing solutions mainly analyze single points or static features, and lack the ability to capture dynamic changes and overall features.

[0063] 2. Limited information dimension: Traditional equipment is difficult to achieve synchronous collection and overall restoration of Cun, Guan and Chi pulses, and fails to provide comprehensive pulse information.

[0064] 3. Lack of 3D restoration and cross-sectional analysis: Existing technologies mostly rely on a single data point and are unable to obtain cross-sectional information of the wrist joint and dynamic changes of the radial artery through multi-dimensional analysis.

[0065] 4. Insufficient adaptability and versatility: Equipment design is often targeted at specific purposes and lacks broad adaptability to different human body structures and pulse diagnosis scenarios.

[0066] In order to solve the above problems, the present application proposes an analysis method, device and electronic device capable of horizontally collecting the pulse of the inch, guan and chi. Through the combination of linear array ultrasonic equipment and dynamic signal transceiver technology, the comprehensive capture and accurate analysis of pulse information is achieved, providing an efficient and intelligent solution for modern pulse diagnosis.

[0067] At present, the background technology of this application mainly focuses on the field of ultrasonic pulse diagnosis equipment and related analysis algorithms. Related technical solutions include pulse diagnosis instruments based on mechanical sensors, pulse diagnosis systems based on ultrasonic images, and intelligent analysis methods for pulse positioning models. These technologies have achieved the collection and analysis of pulses to a certain extent, but there are still obvious deficiencies in terms of dynamic information acquisition, data dimension improvement, and 3D restoration capabilities.

[0068] 1. Pulse diagnosis equipment based on mechanical sensors

[0069] Technical solution: As described in Chinese patent application CN114451876A, the pulse is collected by a mechanical sensor and a pressure regulating device, and the diagnostic accuracy is optimized by combining a data analysis module.

[0070] Disadvantages:

[0071] 1) Limited acquisition range: The device mainly collects pulse signals through fixed points, making it difficult to achieve synchronous acquisition of Cun, Guan, and Chi pulses.

[0072] 2) Lack of dynamic features: lack of real-time capture and analysis of dynamic changes in pulse.

[0073] 3) Lack of 3D information: It is limited to the analysis of single-point signals and cannot provide complete 3D pulse restoration capabilities.

[0074] 2. Pulse diagnosis based on ultrasound images

[0075] Technical solution: As described in Chinese patent application CN1 13710166A, an artificial neural network is used to extract and diagnose vascular images in ultrasound images, thereby achieving accurate detection of carotid artery abnormalities.

[0076] Disadvantages:

[0077] 1) Focus on specific targets: It mainly focuses on image analysis of specific parts such as the carotid artery, and is not fully adapted to pulse diagnosis scenarios.

[0078] 2) Lack of dynamic signals: It does not combine the dynamic change characteristics of ultrasound signals and only relies on image processing.

[0079] 3) Limited data dimension: The restoration of the cross-section of the wrist joint and the 3D features of the radial artery is not achieved.

[0080] 3. Intelligent analysis method of pulse location model

[0081] Technical solution: As described in Chinese patent application CN117617910A, this technology uses a robotic arm combined with an ultrasonic detector and visual images to train a pulse positioning model, thereby improving the recognition accuracy of the pulse position.

[0082] Disadvantages:

[0083] 1) Single target acquisition: It mainly focuses on the single-point positioning of the radial artery and fails to achieve the synchronous acquisition of the overall pulse information.

[0084] 2) Lack of 3D analysis: It is impossible to achieve 3D restoration of the dynamic characteristics of the radial artery and comprehensive analysis of the cross-section of the wrist joint.

[0085] 3) Limited adaptability: The equipment design is complex and the adaptation scenarios are relatively simple.

[0086] The present invention specifically solves the following problems:

[0087] In view of the deficiencies of the above-mentioned background technologies, this application provides a comprehensive solution through innovative technical architecture and analysis methods, including:

[0088] 1. Synchronous horizontal acquisition of Cun, Guan and Chi pulses: Through the linear array, the signal acquisition of the entire radial artery is realized to ensure the comprehensiveness and consistency of the data.

[0089] 2.3D restoration and dynamic analysis: Combining AI interpolation algorithm and dynamic signal receiving and sending strategy, the 3D pulsation characteristics of the radial artery can be accurately restored, and comprehensive analysis of the cross section of the wrist joint can be achieved.

[0090] 3. Efficient signal processing and energy-saving optimization: The segmented polling strategy and the dynamic adjustment of the Z-axis angle are adopted to greatly improve the signal acquisition efficiency while reducing energy consumption.

[0091] 4. Adapt to diverse scenarios: Through flexible algorithms and equipment design, it can adapt to different pulse diagnosis needs and provide more extensive support for complex medical scenarios.

[0092] The technical solution of this application has significant advantages in dynamic signal acquisition, information dimension improvement and energy efficiency optimization, which comprehensively makes up for the shortcomings of existing technologies and provides a new path for the development of modern pulse diagnosis technology.

[0093] Various non-limiting implementations of the present application are described in detail below in conjunction with the accompanying drawings.

[0094] First, refer to Figure 1 , the analysis method of the Cun, Guan, and Chi pulse of the present application is described in detail.

[0095] The present application provides a method for analyzing the pulse of Cun, Guan, and Chi, the method comprising:

[0096] S100: transmitting an ultrasonic signal to the radial artery;

[0097] S200: receiving an echo signal and determining original cross-sectional data of a wrist joint based on the echo signal;

[0098] S300: determining a target cross-sectional view based on the original cross-sectional data of the wrist joint;

[0099] S400: constructing a 3D pulsation model of the radial artery based on the echo signal;

[0100] S500: Acquire key features of the Cun, Guan, and Chi pulses based on the 3D pulsation model of the radial artery and the target cross-sectional view, and analyze the Cun, Guan, and Chi pulses according to the key features to obtain a 3D dynamic model of the Cun, Guan, and Chi pulses and a diagnosis report.

[0101] The above-mentioned linear array and AI interpolation algorithm are based on dynamic lateral collection of Cun, Guan, and Chi pulse related data, and through the method combining 3D restoration with wrist joint cross-sectional analysis, dynamic multi-dimensional comprehensive collection and detailed analysis of Cun, Guan, and Chi pulse related data are realized. The analysis accuracy of Cun, Guan, and Chi pulses is improved through 3D modeling and analysis, and it supports multi-scenario applications and is widely applicable.

[0102] In some embodiments, transmitting an ultrasonic signal to the radial artery comprises:

[0103] A linear array including N array elements is used to transmit an ultrasonic signal covering the radial artery using a segmented polling strategy, where N is a positive integer;

[0104] Dynamically changing the Z-axis orientation of the linear array to transmit ultrasonic signals at different angles so as to obtain echo signals at different angles;

[0105] The Z-axis direction refers to the direction perpendicular to the cross section of the wrist joint.

[0106] Exemplarily, N in the linear array of N array elements is a number of array elements that is at least greater than 1000, so that ultrasonic signals can be emitted by a larger number of array elements, thereby obtaining more corresponding echo signals and more comprehensive and rich radial artery related data information.

[0107] Exemplarily, by changing the Z-axis direction or the Z-axis angle (i.e., the spatial orientation of the linear array), signals at different angles are gradually polled. Specifically, the cross-section of the wrist joint can be taken as the XY plane, and the direction perpendicular to the XY plane is the Z-axis direction, that is, the Z-axis direction is the direction perpendicular to the cross-section of the wrist joint. By adjusting the angle of the linear array, ultrasonic signals at different angles are emitted, and then echo signals at different angles are obtained, and the original cross-sectional data of the wrist joint is obtained using the echo signal.

[0108] Exemplarily, a plurality of corresponding cross-sectional data are obtained by adjusting the Z-axis direction, and then a 3D pulsation model can be constructed.

[0109] Multiple cross sections are obtained by rotating the device. The probe and skin contact point is the starting point, and each angle will produce a cross section as the device is slowly adjusted from left to vertical and then to right.

[0110] In some embodiments, when N is 1024, the segmented polling strategy is:

[0111] The 1024 array elements are divided into 4 groups, among which the 1st to 256th are the first group of elements, the 257th to 512th are the second group of elements, the 513th to 768th are the third group of elements, and the 769th to 1024th are the fourth group of elements. This can reduce unnecessary signal transmission, reduce equipment energy consumption while ensuring diagnostic accuracy, and improve the energy-saving efficiency of the system. It supports long-term continuous operation and provides energy optimization solutions for portable medical devices. In energy-saving mode, it can still maintain high-quality data collection and analysis capabilities.

[0112] Ultrasonic signals are emitted in sequence from the first group of array elements to the fourth group of array elements. In this way, signals are collected step by step to ensure the comprehensiveness and consistency of the data collection range. At the same time, the synchronous collection capability of the transverse Cun, Guan, and Chi pulses is provided to solve the limitations of the existing single-point collection scheme. The redundant signals in the dense array collection are reduced to improve the collection efficiency.

[0113] In some embodiments, the receiving the echo signal and determining the original cross-sectional data of the wrist joint based on the echo signal includes:

[0114] Acquire the echo signals at different angles corresponding to the ultrasonic signals at different angles;

[0115] Determine a cross-sectional view corresponding to each angle based on the echo signal at each angle;

[0116] The cross-sectional views corresponding to various angles form a first data set, and the first data set is determined as original cross-sectional data of the wrist joint.

[0117] Exemplarily, the different angles mentioned above not only refer to the angle of the cross section perpendicular to the wrist joint, but specifically refer to the process of taking the probe and skin contact point corresponding to the linear array as the starting point, and adjusting the probe from the angle perpendicular to the wrist joint to the left or right. Each angle will produce a corresponding cross section.

[0118] Each angle has at least one round of ultrasonic signal sending and echo signal receiving to form a corresponding cross-sectional diagram, until all data are collected within the Z-axis angle range (for example, 45° to the left to 45° to the right). Specifically, the adjusted angle interval can be set to 5°, that is, 5° to the left, 10° to the left,..., to 45° to the left, with a difference of 5° between every two angles, and the right angle is similar, so it will not be repeated. The angle interval here is only an example, and other angles known to those skilled in the art can also be applied here. There is no limitation on this, and it can be adjusted according to actual conditions, which also falls within the scope of protection of this application.

[0119] In some embodiments, determining a target cross-sectional view based on the original cross-sectional data of the wrist joint includes:

[0120] Based on the original cross-sectional data of the wrist joint, the first AI interpolation algorithm is used to supplement the missing data between different angles to obtain a supplementary data set of the wrist joint; this can provide a more accurate restoration of pulse characteristics, covering multi-dimensional information such as amplitude, frequency and phase.

[0121] Based on the original cross-sectional data of the wrist joint and the supplementary data set of the wrist joint, a target cross-sectional view is determined.

[0122] Exemplarily, different angles can obtain cross-sectional views corresponding to left-leaning 5 °, left-leaning 10 °, ..., left-leaning 45 ° successively, and right-leaning 5 °, right-leaning 10 °, ..., right-leaning 45 ° successively as described above, and the first data set is formed by all cross-sectional views as the original cross-sectional data of wrist joint. Dynamic analysis is supported like this, and the time series feature capture of pulse condition is realized.

[0123] The first AI interpolation algorithm is used to supplement the missing data between different angles. Specifically, the data corresponding to other angles between 5° left tilt and 10° left tilt are obtained through the first AI interpolation algorithm. For example, the missing data corresponding to 7° left tilt is obtained. The missing data between different angles are supplemented to obtain a supplementary data set. The specific angles that need to obtain the data can be adjusted according to the actual situation; accurate analysis of the cross-sectional characteristics of the wrist joint can be achieved; the data collection range can be expanded to improve the adaptability to complex diagnostic areas (such as the wrist joint); and high-resolution cross-sectional analysis results can be provided for clinical auxiliary diagnosis.

[0124] Based on the original cross-sectional data of the wrist joint and the supplementary data set of the wrist joint, the cross-sectional data at each angle (including the AI ​​supplementary data) are spliced ​​into a complete three-dimensional cross-sectional image as the target cross-sectional image using image reconstruction technology (such as relevant AI interpolation and data fusion algorithms). The cross-sectional image corresponding to each angle shows the structural features of the wrist joint at different angles, and finally generates a high-resolution target cross-sectional image for subsequent analysis, which improves the accuracy.

[0125] In some embodiments, before constructing a 3D pulsation model of the radial artery based on the echo signal, the method includes:

[0126] The second AI interpolation algorithm is used to supplement the missing signals of the echo signal at each angle to obtain a complete echo signal at each angle; the second AI interpolation algorithm here means that there may be some missing signals in the cross section of each angle, which need to be supplemented first. Then, according to the complete echo signal at each angle, a 3D restoration effect is constructed, that is, a 3D pulsation model of the radial artery is constructed.

[0127] A 3D pulsation model of the radial artery is constructed based on the complete echo signal at each angle.

[0128] Exemplarily, the first AI interpolation algorithm and the second AI interpolation algorithm may be the same algorithm or different algorithms.

[0129] In some embodiments, key features include:

[0130] Pulse amplitude;

[0131] Beat frequency; and

[0132] Pulsation distribution.

[0133] Specifically, the pulsation amplitude refers to the maximum displacement of the blood vessel wall when the radial artery pulsates, that is, the expansion and contraction amplitude of the artery.

[0134] The pulse rate refers to the number of times the pulse beats per minute, or the rhythm of the pulse. The frequency can reflect the health of the heart, such as whether there are problems such as abnormal heart rate.

[0135] Pulsation distribution involves the distribution of different pulse signals in the lateral direction, which reflects the uniformity of blood flow and the spatial distribution of fluctuations.

[0136] The three features of pulsation amplitude, pulsation frequency and pulsation distribution correspond to the dynamic fluctuation amplitude, periodic changes in the 3D pulsation model of the radial artery, and the vibration intensity distribution in the target cross-sectional view, respectively.

[0137] The above key features all originate from the different dimensions of ultrasound signal acquisition: time dimension (pulsation frequency), spatial dimension (pulsation amplitude and pulsation distribution) and depth dimension (local fluctuations in the target cross-sectional view).

[0138] In some embodiments, the key features of the Cun, Guan, and Chi pulses are obtained based on the 3D pulsation model of the radial artery and the target cross-sectional view, including:

[0139] Acquiring the pulsation amplitude and pulsation frequency based on the 3D pulsation model of the radial artery;

[0140] A pulsatility distribution is acquired based on the target cross-sectional image.

[0141] For example, time-frequency analysis methods (such as short-time Fourier transform, Haar transform, etc.) can be used to accurately extract the key features of the 3D pulsation model of the radial artery (such as pulsation amplitude, pulsation period, pulsation frequency, waveform changes, etc.). The pulsation waveform is dynamically tracked by the AI ​​algorithm, and its tiny morphological changes and abnormal fluctuations are extracted, capturing every subtle change of the pulse in real time.

[0142] In some embodiments, the method further includes displaying a 3D dynamic model of the Cun, Guan, and Chi pulses and a diagnosis report through a terminal device.

[0143] The above-mentioned Cun, Guan, and Chi pulse analysis method of the present application systematically realizes the synchronous collection and 3D restoration of the Cun, Guan, and Chi pulses, as well as the cross-sectional analysis of the wrist joint, providing an efficient, accurate, and flexible solution for modern pulse diagnosis and ultrasonic diagnosis.

[0144] The above-mentioned Cun, Guan, and Chi pulse analysis method of the present application can achieve the following technical effects:

[0145] 1. Realize the synchronous collection of horizontal Cun, Guan and Chi pulse

[0146] Traditional pulse diagnosis equipment is usually unable to collect complete signals from the three parts of Cun, Guan and Chi at the same time. This application uses an ultra-high number of linear arrays to achieve synchronous collection of signals from the entire area of ​​the radial artery, ensuring the comprehensiveness and consistency of Cun, Guan and Chi pulse information.

[0147] The linear array's group polling strategy optimizes signal coverage, and dynamic adjustments ensure data integrity.

[0148] 2. Provide 3D dynamic restoration of radial artery pulse

[0149] Compared with traditional devices that only provide two-dimensional or qualitative information, the present application can restore the 3D dynamic model of radial artery pulsation in real time, providing a more intuitive and rich diagnostic basis for pulse analysis.

[0150] The AI ​​interpolation algorithm is used to fill the missing signals between array elements, and the multi-angle acquisition and reconstruction technology achieves a high-precision 3D restoration effect.

[0151] 3. Provide accurate analysis of wrist cross section

[0152] By dynamically adjusting the array Z-axis angle, the acquisition range is expanded to generate high-resolution cross-sectional images of the wrist joint, supporting detailed analysis of complex anatomical structures.

[0153] Dynamic polling in the Z-axis direction combined with AI interpolation simulates the effect of a matrix array, significantly improving spatial resolution and information accuracy.

[0154] 4. Improve diagnostic accuracy

[0155] Through Haar transform and AI interpolation technology, the timing characteristics of ultrasound signals are deeply extracted, which greatly improves the diagnostic accuracy of pulse diagnosis and cross-sectional analysis.

[0156] The multi-scale analysis technology of signals can fully capture the dynamic change characteristics of the pulse and optimize the performance of the diagnostic model.

[0157] 5. Optimize energy efficiency

[0158] The use of group polling and dynamic segmented signal acquisition strategies significantly reduces the generation of array redundant signals and effectively reduces the energy consumption of the equipment.

[0159] Flexible signal transmission and reception control mechanism ensures the best balance between signal quality and energy consumption.

[0160] 6. Adapt to complex diagnostic scenarios

[0161] This application supports a variety of pulse diagnosis scenarios and diagnostic needs, and is suitable for pulse analysis in different parts of the human body and complex clinical environments.

[0162] Modular design and flexible acquisition strategies make the system highly adaptable and scalable.

[0163] The present application provides a device for analyzing the pulse condition of Cun, Guan, and Chi. Figure 2 As shown, the analysis device of the Cun, Guan, and Chi pulses comprises:

[0164] A linear array module for transmitting an ultrasound signal to a radial artery;

[0165] A signal receiving and preprocessing module, used for receiving the echo signal and determining the original cross-sectional data of the wrist joint based on the echo signal;

[0166] An AI interpolation module is used to determine a target cross-sectional image based on the original cross-sectional data of the wrist joint;

[0167] A 3D reconstruction module, used for constructing a 3D pulsation model of the radial artery based on the echo signal;

[0168] The data analysis and output module is used to obtain the key features of the Cun, Guan, and Chi pulses based on the 3D pulsation model of the radial artery and the target cross-sectional view, and analyze the Cun, Guan, and Chi pulses according to the key features of the Cun, Guan, and Chi pulses to obtain a 3D dynamic model of the Cun, Guan, and Chi pulses and a diagnosis report.

[0169] The Cun, Guan, and Chi pulse analysis device of the present application is adapted to a variety of medical scenarios and supports different pulse diagnosis scenario requirements (such as health monitoring, medical diagnosis, etc.) through modular design; flexibly adjusts algorithm parameters to adapt to personalized application scenarios; provides highly versatile diagnostic tools that support a variety of applications across ages, body shapes, and health conditions; and can be easily expanded to ultrasonic diagnosis of other parts of the human body.

[0170] The Cun, Guan, and Chi pulse analysis device of the present application can achieve all the technical effects achieved by the Cun, Guan, and Chi pulse analysis method of the present application, which will not be repeated here.

[0171] It should be noted that the method of one or more embodiments of the present application can be performed by a single device, such as a computer or server. The method of this embodiment can also be applied to a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of one or more embodiments of the present application, and the multiple devices will interact with each other to complete the described method.

[0172] It should be noted that the above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0173] Based on the same inventive concept, corresponding to any of the above-mentioned embodiments and methods, the present application also discloses an electronic device;

[0174] Specifically, Figure 3 The hardware structure diagram of an electronic device for analyzing the Cun, Guan, and Chi pulse provided in this embodiment is shown. The device may include: a processor 410, a memory 420, an input / output interface 430, a communication interface 440, and a bus 450. The processor 410, the memory 420, the input / output interface 430, and the communication interface 440 are connected to each other through the bus 450 in the device.

[0175] The processor 410 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application.

[0176] The memory 420 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 420 may store an operating system and other application programs. When the technical solution provided in the embodiment of the present application is implemented by software or firmware, the relevant program code is stored in the memory 420 and is called and executed by the processor 410.

[0177] The input / output interface 430 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0178] The communication interface 440 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (for example, USB, network cable, etc.) or a wireless mode (for example, mobile network, WIFI, Bluetooth, etc.).

[0179] The bus 450 includes a path that transmits information between the various components of the device (eg, the processor 410 , the memory 420 , the input / output interface 430 , and the communication interface 440 ).

[0180] It should be noted that, although the above device only shows the processor 410, the memory 420, the input / output interface 430, the communication interface 440 and the bus 450, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiment of the present application, and does not necessarily include all the components shown in the figure.

[0181] The electronic device of the above embodiment is used to implement the corresponding Cun, Guan, and Chi pulse analysis method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0182] Based on the same inventive concept, corresponding to any of the above-mentioned embodiments and methods, one or more embodiments of the present application also provide a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the analysis method of the Cun, Guan, and Chi pulses as described in any of the above embodiments.

[0183] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0184] The computer instructions stored in the storage medium of the above embodiments are used to enable the computer to execute the analysis method of the Cun, Guan, and Chi pulses as described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0185] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present application (including the claims) is limited to these examples. In line with the concept of the present application, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present application as described above, which are not provided in detail for the sake of simplicity.

[0186] In addition, to simplify the description and discussion, and in order not to make one or more embodiments of the present application difficult to understand, the known power / ground connections to the integrated circuit (IC) chip and other components may or may not be shown in the provided drawings. In addition, the device can be shown in the form of a block diagram to avoid making one or more embodiments of the present application difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform on which one or more embodiments of the present application will be implemented (that is, these details should be fully within the scope of understanding of those skilled in the art). In the case of elaborating specific details (e.g., circuits) to describe exemplary embodiments of the present application, it is obvious to those skilled in the art that one or more embodiments of the present application can be implemented without these specific details or when these specific details are changed. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0187] Although the present application has been described in conjunction with specific embodiments of the present application, many replacements, modifications and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.

[0188] One or more embodiments of the present application are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of the present application should be included in the scope of protection of the present application.

Claims

1. A method for analyzing Cun, Guan, and Chi pulses, characterized in that: The method comprises: transmitting an ultrasonic signal to the radial artery; receiving an echo signal and determining raw cross-sectional data of the wrist joint based on the echo signal; determining a target cross-sectional view based on the original cross-sectional data of the wrist joint; constructing a 3D pulsation model of the radial artery based on the echo signal; Based on the 3D pulsation model of the radial artery and the target cross-sectional view, key features of the Cun, Guan, and Chi pulses are acquired, and according to the key features of the Cun, Guan, and Chi pulses, a 3D dynamic model of the Cun, Guan, and Chi pulses and a diagnosis report are obtained by analyzing the Cun, Guan, and Chi pulses.

2. The method for analyzing the Cun, Guan, and Chi pulses according to claim 1, wherein: The transmitting of the ultrasonic signal to the radial artery comprises: A linear array including N array elements is used to transmit an ultrasonic signal covering the radial artery using a segmented polling strategy, where N is a positive integer; Dynamically changing the Z-axis orientation of the linear array to transmit ultrasonic signals at different angles so as to obtain echo signals at different angles; The Z-axis direction refers to the direction perpendicular to the cross section of the wrist joint.

3. The method for analyzing the Cun, Guan, and Chi pulses according to claim 2, wherein: When N is 1024, the segment polling strategy is: Divide 1024 array elements into 4 groups, where the 1st to 256th array elements are the first group of array elements, the 257th to 512th array elements are the second group of array elements, the 513th to 768th array elements are the third group of array elements, and the 769th to 1024th array elements are the fourth group of array elements; Ultrasonic signals are transmitted in sequence from the first group of array elements to the fourth group of array elements.

4. The method for analyzing the Cun, Guan, and Chi pulses according to claim 2, wherein: The receiving the echo signal and determining the original cross-sectional data of the wrist joint based on the echo signal comprises: Acquire the echo signals at different angles corresponding to the ultrasonic signals at different angles; Determine a cross-sectional view corresponding to each angle based on the echo signal at each angle; The cross-sectional views corresponding to various angles form a first data set, and the first data set is determined as original cross-sectional data of the wrist joint.

5. The method for analyzing the Cun, Guan, and Chi pulses according to claim 4, characterized in that: Determining a target cross-sectional view based on the original cross-sectional data of the wrist joint includes: Based on the original cross-sectional data of the wrist joint, using a first AI interpolation algorithm to supplement missing data between different angles, to obtain a supplementary data set of the wrist joint; Based on the original cross-sectional data of the wrist joint and the supplementary data set of the wrist joint, a target cross-sectional view is determined.

6. The method for analyzing the Cun, Guan, and Chi pulses according to claim 4, characterized in that: Before constructing a 3D pulsation model of the radial artery based on the echo signal, the method includes: Using the second AI interpolation algorithm to supplement the missing signals of the echo signal at each angle to obtain a complete echo signal at each angle; A 3D pulsation model of the radial artery is constructed based on the complete echo signal at each angle.

7. The method for analyzing the Cun, Guan, and Chi pulses according to claim 1, characterized in that: Key features include: Pulse amplitude; Beat frequency; and Pulsation distribution.

8. The method for analyzing the Cun, Guan, and Chi pulses according to claim 7, characterized in that: The key features of obtaining the Cun, Guan, and Chi pulses based on the 3D pulsation model of the radial artery and the target cross-sectional view include: Acquiring the pulsation amplitude and pulsation frequency based on the 3D pulsation model of the radial artery; A pulsatility distribution is acquired based on the target cross-sectional image.

9. A device for analyzing Cun, Guan, and Chi pulses, characterized in that: The analyzing device of the Cun, Guan, and Chi pulses comprises: A linear array module for transmitting an ultrasound signal to a radial artery; A signal receiving and preprocessing module, used for receiving the echo signal and determining the original cross-sectional data of the wrist joint based on the echo signal; An AI interpolation module is used to determine a target cross-sectional image based on the original cross-sectional data of the wrist joint; A 3D reconstruction module, used for constructing a 3D pulsation model of the radial artery based on the echo signal; The data analysis and output module is used to obtain the key features of the Cun, Guan, and Chi pulses based on the 3D pulsation model of the radial artery and the target cross-sectional view, and analyze the Cun, Guan, and Chi pulses according to the key features of the Cun, Guan, and Chi pulses to obtain a 3D dynamic model of the Cun, Guan, and Chi pulses and a diagnosis report.

10. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for analyzing the Cun, Guan, and Chi pulses as described in any one of claims 1 to 8 when executing the computer program.

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