Disposable underpants and subcutaneous tissue ultrasonic identification method and system for underpants

Abstract

The embodiment of the invention provides disposable underpants and a subcutaneous tissue ultrasonic recognition method and system for the underpants, and relates to the technical field of subcutaneous tissue recognition technologies. The method comprises the following steps: acquiring ultrasonic echo information; performing image conversion processing on the ultrasonic echo information to obtain an echo image; and identifying the echo image through a first model to obtain subcutaneous tissue information. According to the invention, the problem of low subcutaneous tissue recognition precision is solved, and the effect of improving the subcutaneous tissue recognition precision is achieved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of subcutaneous tissue recognition, and in particular, to disposable underwear and a method and system for ultrasonically recognizing subcutaneous tissue for underwear. Background Art

[0002] Traditional subcutaneous tissue detection methods mainly rely on the doctor's experience and palpation, which have certain limitations in accuracy and efficiency. With the development of medical imaging technology, ultrasound imaging has been widely used in subcutaneous tissue detection due to its advantages of non-invasiveness, real-time and low cost. Ultrasound imaging transmits ultrasound waves through a high-frequency probe and receives the reflected echoes, and generates images based on the intensity and time information of the echoes, thereby observing the morphology and structure of subcutaneous tissue.

[0003] However, existing ultrasound imaging technology still faces some challenges in identifying subcutaneous tissue. First, the interpretation of ultrasound images requires professional medical knowledge, which is difficult for non-professionals. Secondly, the quality of ultrasound images is affected by many factors such as operating techniques and equipment performance. The clarity and contrast of the image may be insufficient, resulting in limited recognition accuracy. In addition, the diversity and complexity of subcutaneous tissue also increase the difficulty of automatic recognition, especially for tissues of different natures such as hematoma, lymph, tumor, thrombus, etc., which require more accurate recognition methods.

[0004] In order to improve the accuracy and efficiency of subcutaneous tissue recognition, researchers have begun to explore the application of machine learning technology to the analysis of ultrasound images in recent years. These methods build models to learn from a large amount of labeled data to automatically identify and classify different subcutaneous tissues. Although some progress has been made, existing technologies still have some limitations in practical applications, such as dependence on data volume, generalization ability of the model, and adaptability to complex environments. Summary of the invention

[0005] The embodiments of the present invention provide disposable underwear and a method and system for ultrasonic identification of subcutaneous tissue for underwear, so as to at least solve the problem of low accuracy of subcutaneous tissue identification in the related art.

[0006] According to one embodiment of the present invention, a method for ultrasonic identification of subcutaneous tissue for underwear is provided, which is applied to disposable underwear and includes: Acquiring ultrasonic echo information, wherein the ultrasonic echo information is obtained by an echo acquisition device after a high-frequency probe detects a preset area and then acquires echoes; Performing image conversion processing on the ultrasonic echo information to obtain an echo image; The echo image is identified by using a first model to obtain subcutaneous tissue information.

[0007] In an exemplary embodiment, the step of performing image conversion processing on the ultrasonic echo information to obtain an echo image includes: Preprocessing the ultrasonic echo information; The preprocessed ultrasonic echo information is converted into a digital signal to obtain first echo information, wherein the first echo information includes ultrasonic emission time, ultrasonic emission intensity information, echo reception time, and echo intensity information.

[0008] Converting the first echo information into grayscale value or color coding to obtain echo pixel information; The echo image is constructed based on the echo pixel information.

[0009] In an exemplary embodiment, after converting the preprocessed ultrasonic echo information into a digital signal to obtain the first echo information, the method includes: Determine the ultrasonic wave propagation time according to the ultrasonic wave emission time and the echo reception time, and reconstruct the first echo image based on the ultrasonic wave propagation time, the ultrasonic wave emission intensity information, and the echo intensity information; The first echo image is compared with the echo image, and if the comparison result meets the first condition, the echo image is determined to be normal, otherwise it is determined to be abnormal.

[0010] In an exemplary embodiment, after converting the preprocessed ultrasonic echo information into a digital signal to obtain the first echo information, the method includes: Constructing an acoustic wave information matrix based on a preset matrix construction rule and the first echo information; According to the correlation calculation performed on the acoustic wave information matrix, when the correlation calculation result does not meet the second condition, it is determined that the first echo information is abnormal.

[0011] In an exemplary embodiment, after identifying the echo image by using the first model to obtain subcutaneous tissue information, the method further includes: Obtaining subcutaneous tissue characteristic information; Performing tissue identification calculation based on the acoustic wave information matrix and the subcutaneous tissue characteristic information to determine a first tissue identification; Mapping the first organization identifier to obtain first organization information; The first tissue information is matched with the subcutaneous tissue information, and when the matching result does not meet the third condition, it is determined that the subcutaneous tissue information is abnormal.

[0012] According to another embodiment of the present invention, there is provided a subcutaneous tissue identification system based on ultrasound, comprising: An echo acquisition module is used to obtain ultrasonic echo information; A conversion module, used for performing image conversion processing on the ultrasonic echo information to obtain an echo image; The recognition module is used to recognize the echo image through a first model to obtain subcutaneous tissue information.

[0013] In an exemplary embodiment, the step of performing image conversion processing on the ultrasonic echo information to obtain an echo image includes: Preprocessing the ultrasonic echo information; The preprocessed ultrasonic echo information is converted into a digital signal to obtain first echo information, wherein the first echo information includes ultrasonic emission time, ultrasonic emission intensity information, echo reception time, and echo intensity information.

[0014] Converting the first echo information into grayscale value or color coding to obtain echo pixel information; The echo image is constructed based on the echo pixel information.

[0015] In an exemplary embodiment, the system further comprises: an image reconstruction module, configured to, after converting the preprocessed ultrasonic echo information into a digital signal to obtain the first echo information, determine the ultrasonic propagation time according to the ultrasonic emission time and the echo reception time, and reconstruct the first echo image based on the ultrasonic propagation time, the ultrasonic emission intensity information, and the echo intensity information; The first judgment module is used to compare the first echo image with the echo image, and determine that the echo image is normal if the comparison result meets a first condition, otherwise it is determined to be abnormal.

[0016] According to another embodiment of the present invention, there is also provided a disposable underpants, which is applied to a subcutaneous tissue ultrasonic identification method for underpants, comprising: The pants body is made of non-woven fabric; Velcro is fixed on the trouser body, and at least four echo acquisition sheets are fixed to the Velcro, and the echo acquisition sheets are used to obtain ultrasonic echo information; and the echo acquisition sheets are connected to a conversion module for performing image conversion processing on the ultrasonic echo information to obtain an echo image, and the conversion module is connected to a recognition module for recognizing the echo image through a first model to obtain subcutaneous tissue information.

[0017] According to yet another embodiment of the present invention, there is provided an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0018] According to the present invention, since the ultrasonic echo image of subcutaneous tissue is recognized by the first model, the recognition accuracy is improved. Therefore, the problem of low ultrasonic tissue recognition accuracy can be solved, thereby achieving the effect of improving the recognition accuracy of subcutaneous tissue. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is a flow chart of a method for ultrasonic identification of subcutaneous tissue for underwear according to an embodiment of the present invention; Figure 2 It is the actual effect diagram of the present invention; Figure 3 It is a structural block diagram of a subcutaneous tissue ultrasonic identification system for underwear according to an embodiment of the present invention; Figure 4 The utility model relates to a disposable underwear according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0021] In the following, the terms "first", "second", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0022] In addition, in the present application, directional terms such as "up", "down", "left" and "right" may be defined including but not limited to the orientation relative to the schematic placement of the components in the drawings. It should be understood that these directional terms may be relative concepts, which are used for relative description and clarification, and may change accordingly according to the change in the orientation of the components in the drawings.

[0023] As used herein, "about," "substantially," or "approximately" includes the stated value and an average value that is within an acceptable range of variation from the particular value as determined by one of ordinary skill in the art taking into account the measurements in question and the errors associated with the measurement of the particular quantity (i.e., the limitations of the measurement system).

[0024] In this embodiment, a method for ultrasonic identification of subcutaneous tissue for underwear is provided, which is applied to disposable underwear. Figure 1 FIG. 1 is a flow chart of a method for ultrasonically identifying subcutaneous tissue of underwear according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps: Step S11, acquiring ultrasonic echo information, wherein the ultrasonic echo information is acquired by an echo acquisition device after a high-frequency probe detects a preset area and then acquires echoes; In this embodiment, when performing detection, the area to be detected is first detected by an ultrasonic high-frequency probe, and then the echo collection module collects the echoes fed back by the subcutaneous tissue and the skin, and then the echoes are subsequently processed.

[0025] Among them, the subcutaneous tissue can be hematoma, lymph, tumor, thrombus, etc. Correspondingly, the ultrasonic echo information usually includes echo reception time, echo intensity information, etc.; Step S12, performing image conversion processing on the ultrasonic echo information to obtain an echo image; In this embodiment, since different tissues have different absorption conditions for ultrasound, their echoes are also different, so the corresponding tissue conditions can be identified by observing their echo conditions; ultrasonic echo information is usually an analog signal, and in order to obtain an image, these analog signals need to be converted into digital signals; and in order to obtain a more accurate digital signal, it is usually necessary to perform some preprocessing on the ultrasonic echo after obtaining the ultrasonic echo information (including filtering, gain control, dynamic range compression, etc., to improve signal quality, etc.).

[0026] The image conversion process includes reconstructing the converted digital signal according to grayscale value or color coding to obtain a corresponding image; specifically, the image conversion process of the ultrasonic echo information to obtain an echo image includes: Step S121, preprocessing the ultrasonic echo information; Step S122, converting the preprocessed ultrasonic echo information into a digital signal to obtain first echo information, wherein the first echo information includes ultrasonic emission time, ultrasonic emission intensity information, echo reception time, and echo intensity information; Step S123, converting the first echo information into grayscale value or color coding to obtain echo pixel information; Step S124: constructing the echo image based on the echo pixel information.

[0027] Among them, the conversion of digital signals is to convert analog ultrasonic echo signals into digital signals through Fourier transform. When converting digital signals, the sampling rate of the analog signal must be guaranteed to satisfy the Nyquist theorem, that is, at least twice the highest frequency of the signal to avoid aliasing. Then, the digital value of the analog signal is determined by successive approximation. When grayscale values ​​are used to construct echo pixel information, the echo signal is mapped to different grayscale values ​​according to the intensity information of the echo. Usually, strong echoes correspond to bright grayscale values, and weak echoes correspond to dark grayscale values, thereby obtaining multiple pixel points with different grayscale values. When color coding is used to construct echo pixel information, different colors are assigned according to different characteristics of the echo (such as depth, speed, etc.) to obtain pixel points of different colors. Then, these converted pixel points are filled on a preset canvas according to preset rules to obtain the corresponding echo image (such as Figure 2 as shown).

[0028] Step S13: identifying the echo image by using the first model to obtain subcutaneous tissue information.

[0029] In this embodiment, after the echo image is obtained, the echo image is recognized by a pre-trained neural network model, thereby realizing automatic recognition of subcutaneous tissue.

[0030] The first model may be a convolutional neural network (CNN), a recurrent neural network (RNN) or a Transformer, etc.; the first model may be obtained by training an initial neural network with a labeled training data set (i.e., a pre-labeled image), and during the training process, the network weights are adjusted by optimization methods such as a back propagation algorithm and gradient descent to minimize a loss function (e.g., a cross entropy loss); the principle of detecting and identifying an image of an ultrasonic echo of subcutaneous tissue is as follows: Taking subcutaneous hematoma as an example, subcutaneous hematoma usually appears as an elliptical or quasi-circular low-echo area in ultrasound images with clear boundaries. Cord-like and band-like high-echo areas can be seen inside the area, parallel to the skin, showing typical "stripes" or "feathers". Subcutaneous hematoma may be tender and deformed under the pressure of the ultrasound probe. The mass can be compressed after the probe is pressed in the early stage, but it is not easy to be compressed in the later stage. Therefore, the hematoma may appear to be echoless in the early stage. Over time, it may gradually become low-echo or inhomogeneous echo. When there is liquefaction inside, the echo may be uneven, and the posterior echo of the subcutaneous hematoma usually does not change significantly. At the same time, a larger hematoma may appear to be multi-cavitary and polymorphic. In terms of blood flow changes, the peripheral blood flow increases in the early stage and decreases in the later stage. During follow-up, the size of the hematoma and the internal echo may change within a few days. This feature can distinguish hematoma from other soft tissue tumors.

[0031] Through the above steps, since the ultrasonic echo image of the subcutaneous tissue is recognized by the first model, the problem of low ultrasonic tissue recognition accuracy is solved and the subcutaneous tissue recognition accuracy is improved.

[0032] By using the first model to identify the ultrasonic echo image of the subcutaneous tissue, the identification accuracy is improved. Therefore, the problem of low ultrasonic tissue identification accuracy can be solved, thereby achieving the effect of improving the subcutaneous tissue identification accuracy.

[0033] In an optional embodiment, after converting the preprocessed ultrasonic echo information into a digital signal to obtain the first echo information, the method includes: Step S14, determining the ultrasonic wave propagation time according to the ultrasonic wave emission time and the echo reception time, and reconstructing a first echo image based on the ultrasonic wave propagation time, the ultrasonic wave emission intensity information, and the echo intensity information; Step S15: compare the first echo image with the echo image, and if the comparison result meets the first condition, determine that the echo image is normal, otherwise determine that it is abnormal.

[0034] In this embodiment, after performing tissue recognition on the image, in order to ensure the accuracy of the recognition result, it is necessary to further reconstruct the echo image and compare the two echo images to determine whether the recognition result is accurate based on the difference in the images. If the difference in the echo images is within an acceptable range, the original recognition result can be accepted, otherwise it is necessary to reconstruct the echo image and re-perform tissue recognition.

[0035] Among them, the first condition includes that the pixel difference, feature matching, pixel difference, etc. between the first echo image and the echo image are all within the preset threshold range. If the comparison result meets the condition, the echo image is considered normal, otherwise it is considered abnormal; it should be noted that the reconstructed first echo image is compared with the echo image, and its reconstruction method also takes into account the ultrasonic propagation time and ultrasonic emission intensity information, so as to better calculate the absorption of ultrasonic waves by subcutaneous tissue, thereby generating echo images more accurately.

[0036] In an optional embodiment, after converting the preprocessed ultrasonic echo information into a digital signal to obtain the first echo information, the method includes: Step S1221, constructing an acoustic wave information matrix based on a preset matrix construction rule and the first echo information; Step S1222: performing correlation calculation on the acoustic wave information matrix and determining that the first echo information is abnormal when the correlation calculation result does not meet the second condition.

[0037] In this embodiment, in addition to detecting the recognition result by constructing the first echo image, a matrix can also be constructed based on the echo information. Specifically, the first echo information is decimal encoded, and then the encoded first echo information is filled into the acoustic wave information matrix as a matrix element, and then the correlation of the matrix is ​​calculated. If the correlation value is within a preset range, the first echo information is judged to be normal, otherwise it is judged to be abnormal.

[0038] In an optional embodiment, after identifying the echo image by using the first model to obtain subcutaneous tissue information, the method further includes: Step S1223, obtaining subcutaneous tissue characteristic information; Step S1224, performing tissue identification calculation based on the acoustic wave information matrix and the subcutaneous tissue characteristic information to determine a first tissue identification; Step S1225, mapping the first organization identifier to obtain first organization information; Step S1226: Match the first tissue information with the subcutaneous tissue information, and if the matching result does not meet the third condition, determine that the subcutaneous tissue information is abnormal.

[0039] In this embodiment, in order to better identify the subcutaneous tissue, the characteristic information of the historical subcutaneous tissue and the acoustic wave information matrix can also be used together to calculate the tissue identification to determine the tissue identification I of the echo image, and then the tissue identification is mapped to the corresponding subcutaneous tissue. If the subcutaneous tissue is the same as the subcutaneous tissue information determined by the neural network, it means that the identification is correct, otherwise the identification is wrong and needs to be re-identified; wherein, the tissue identification can be calculated by the following formula: (Formula 1) In the formula, is the calculation result of tissue identification, n and m are the dimensions of the acoustic wave information matrix and the historical subcutaneous tissue feature matrix, respectively. is the element in the weight matrix, indicating the importance of the i-th and j-th features, and are the elements in the acoustic wave information matrix and the historical subcutaneous tissue feature matrix, is the standard deviation, which is used to control the width of the Gaussian function and affects the strictness of the matching. is a Gaussian function used to measure the similarity between the corresponding elements in the acoustic wave information matrix and the historical subcutaneous tissue feature matrix. After obtaining the first tissue identifier, the I value is normalized by the softmax function, and then the normalized result is mapped to obtain the first tissue information, and then the first tissue information is matched. The third condition is that the matching degree between the first tissue information and the subcutaneous tissue information obtained by the neural network model is greater than a certain threshold.

[0040] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0041] In this embodiment, a subcutaneous tissue ultrasonic identification system for underwear is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and the descriptions that have been made will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0042] Figure 3 is a structural block diagram of a subcutaneous tissue ultrasonic recognition system for underwear according to an embodiment of the present invention. Figure 3 As shown, the system includes: The echo acquisition module 31 is used to obtain ultrasonic echo information; The conversion module 32 is used to perform image conversion processing on the ultrasonic echo information to obtain an echo image; The recognition module 33 is used to recognize the echo image by using a first model to obtain subcutaneous tissue information.

[0043] In an optional embodiment, the step of performing image conversion processing on the ultrasonic echo information to obtain an echo image includes: Preprocessing the ultrasonic echo information; The preprocessed ultrasonic echo information is converted into a digital signal to obtain first echo information, wherein the first echo information includes ultrasonic emission time, ultrasonic emission intensity information, echo reception time, and echo intensity information.

[0044] Converting the first echo information into grayscale value or color coding to obtain echo pixel information; The echo image is constructed based on the echo pixel information.

[0045] In an optional embodiment, the system further includes: an image reconstruction module, configured to, after converting the preprocessed ultrasonic echo information into a digital signal to obtain the first echo information, determine the ultrasonic propagation time according to the ultrasonic emission time and the echo reception time, and reconstruct the first echo image based on the ultrasonic propagation time, the ultrasonic emission intensity information, and the echo intensity information; The first judgment module is used to compare the first echo image with the echo image, and determine that the echo image is normal if the comparison result meets a first condition, otherwise it is determined to be abnormal.

[0046] It should be noted that the above modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0047] The embodiment of the present invention also provides a disposable underwear, such as Figure 4 As shown, the ultrasonic identification method of subcutaneous tissue for underwear mentioned above includes: The trouser body is made of non-woven fabric, wherein non-woven fabric is a fabric formed without spinning and weaving, and the raw materials include chemical fiber, natural plant fiber, or a mixture of multiple types. In the present application, the use of non-woven fabric to make the trouser body can reduce the absorption and reflection of ordinary clothing to ultrasonic waves, thereby improving the echo collection efficiency of ultrasonic waves; in addition, the underwear made of non-woven fabric is non-toxic, odorless and non-irritating to the skin, thereby reducing the impact of clothing dyes on the human body, thereby ensuring that the subcutaneous tissue is in its current actual state and ensuring recognition accuracy; it should be noted that when using the trouser body made of non-woven fabric, it is necessary to ensure that the packaging is intact. The non-woven disposable underwear should be individually sterile and sealed to ensure the sterility of the product, and ethylene oxide (EO) sterilization or electron beam sterilization should be selected to comply with GB 15979 hygiene standard. After use, disposable underwear should be discarded in an appropriate trash can and should not be reused. In addition, for special user groups, SMS non-woven fabric can be used as the fabric for the pants. This fabric is finer and softer, has high anti-bacterial effect, good air permeability, and can achieve anti-static properties after special treatment.

[0048] Velcro is fixed on the trouser body, and at least four echo acquisition sheets are fixed to the Velcro, and the echo acquisition sheets are used to obtain ultrasonic echo information; and the echo acquisition sheets are connected to a conversion module 32 for performing image conversion processing on the ultrasonic echo information to obtain an echo image, and the conversion module 32 is connected to an identification module 33 for identifying the echo image through a first model to obtain subcutaneous tissue information.

[0049] An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0050] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0051] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0052] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0053] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0054] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0055] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0056] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0057] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0058] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application shall be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for ultrasonic identification of subcutaneous tissue of underwear, characterized in that: Applicable to disposable underwear, including: Acquiring ultrasonic echo information, wherein the ultrasonic echo information is obtained by an echo acquisition device after a high-frequency probe detects a preset area, and the echo acquisition device is fixed to the disposable underwear by Velcro; Performing image conversion processing on the ultrasonic echo information to obtain an echo image; The echo image is identified by using a first model to obtain subcutaneous tissue information.

2. The method according to claim 1, characterized in that The step of performing image conversion processing on the ultrasonic echo information to obtain an echo image includes: Preprocessing the ultrasonic echo information; Converting the preprocessed ultrasonic echo information into a digital signal to obtain first echo information, wherein the first echo information includes ultrasonic emission time, ultrasonic emission intensity information, echo reception time, and echo intensity information; Converting the first echo information into grayscale value or color code to obtain echo pixel information; The echo image is constructed based on the echo pixel information.

3. The method according to claim 2, characterized in that After converting the preprocessed ultrasonic echo information into a digital signal to obtain the first echo information, the method includes: Determine the ultrasonic wave propagation time according to the ultrasonic wave emission time and the echo reception time, and reconstruct the first echo image based on the ultrasonic wave propagation time, the ultrasonic wave emission intensity information, and the echo intensity information; The first echo image is compared with the echo image, and if the comparison result meets the first condition, the echo image is determined to be normal, otherwise it is determined to be abnormal.

4. The method according to claim 2, characterized in that: After converting the preprocessed ultrasonic echo information into a digital signal to obtain the first echo information, the method includes: Constructing an acoustic wave information matrix based on a preset matrix construction rule and the first echo information; According to performing correlation calculation on the acoustic wave information matrix, and when the correlation calculation result does not meet the second condition, it is determined that the first echo information is abnormal.

5. The method according to claim 4, characterized in that After identifying the echo image by using the first model to obtain subcutaneous tissue information, the method further includes: Obtaining subcutaneous tissue characteristic information; Performing tissue identification calculation based on the acoustic wave information matrix and the subcutaneous tissue characteristic information to determine a first tissue identification; Mapping the first organization identifier to obtain first organization information; The first tissue information is matched with the subcutaneous tissue information, and when the matching result does not meet the third condition, it is determined that the subcutaneous tissue information is abnormal.

6. A subcutaneous tissue recognition system based on ultrasound, characterized in that: include: An echo acquisition module is used to obtain ultrasonic echo information; A conversion module, used for performing image conversion processing on the ultrasonic echo information to obtain an echo image; The recognition module is used to recognize the echo image through a first model to obtain subcutaneous tissue information.

7. The system according to claim 6, characterized in that The step of performing image conversion processing on the ultrasonic echo information to obtain an echo image includes: Preprocessing the ultrasonic echo information; Converting the preprocessed ultrasonic echo information into a digital signal to obtain first echo information, wherein the first echo information includes ultrasonic emission time, ultrasonic emission intensity information, echo reception time, and echo intensity information; Converting the first echo information into grayscale value or color code to obtain echo pixel information; The echo image is constructed based on the echo pixel information.

8. The system according to claim 7, characterized in that The system further comprises: an image reconstruction module, configured to, after converting the preprocessed ultrasonic echo information into a digital signal to obtain the first echo information, determine the ultrasonic propagation time according to the ultrasonic emission time and the echo reception time, and reconstruct the first echo image based on the ultrasonic propagation time, the ultrasonic emission intensity information, and the echo intensity information; The first judgment module is used to compare the first echo image with the echo image, and determine that the echo image is normal if the comparison result meets a first condition, otherwise it is determined to be abnormal.

9. A disposable underwear, characterized in that: A method for ultrasonic identification of subcutaneous tissue for underwear as described in any one of claims 1 to 5, comprising: The pants body is made of non-woven fabric; Velcro is fixed on the trouser body, and at least four echo acquisition sheets are fixed to the Velcro, and the echo acquisition sheets are used to obtain ultrasonic echo information; and the echo acquisition sheets are connected to a conversion module for performing image conversion processing on the ultrasonic echo information to obtain an echo image, and the conversion module is connected to a recognition module for recognizing the echo image through a first model to obtain subcutaneous tissue information.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 5.

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