Bladder urine volume measuring system based on flexible ultrasonic patch

Abstract

The invention discloses an in-bladder urine volume measuring system based on a flexible ultrasonic patch, and belongs to the technical field of flexible electronic sensing, and the system comprises a data acquisition module which is used for carrying out the real-time monitoring and acquisition of the urine volume in the bladder of a patient based on the flexible ultrasonic patch, and obtaining the image of the urine volume in the bladder of the patient based on the flexible ultrasonic patch; the data transmission module is used for transmitting the urine volume image in the bladder of the patient based on the flexible ultrasonic patch to the urine volume measuring platform; and the urine volume measuring platform is used for performing pattern recognition and measurement on the urine volume in the bladder of the patient according to the image of the urine volume in the bladder of the patient based on the flexible ultrasonic patch, and determining a measurement result of the urine volume in the bladder based on the flexible ultrasonic patch. The problem that the urine volume in the bladder of a patient cannot be effectively and accurately measured on the basis of a flexible ultrasonic patch in the prior art, so that the measurement effect of the urine volume in the bladder of the patient is poor is solved. The urine volume in the bladder of the patient is effectively and accurately measured based on the flexible ultrasonic patch, and the measurement effect of the urine volume in the bladder of the patient can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of flexible electronic sensors, in particular to a bladder urine volume measurement system based on a flexible ultrasonic patch. Background Art

[0002] With the aging of the population and the improvement of the quality of life, the incidence of diseases such as Alzheimer's disease and brain damage is getting higher and higher; among these diseases, urination problems are a common problem faced by many patients, and accurate urine volume monitoring is crucial for the treatment and rehabilitation of patients; doctors usually use invasive methods such as catheters or cystography to detect the patient's bladder urine volume, but these methods may cause discomfort and risks to patients, such as infection, bleeding, etc.

[0003] The Chinese patent with publication number CN117379055A discloses a wearable flexible magnetic field sensor probe for monitoring bladder urine capacity, including a flexible packaging layer and a magnetic field sensor array located in the flexible packaging layer; wherein the magnetic field sensor array is an array formed by arranging a plurality of magnetoresistive chips, and the pins of the magnetoresistive chips are led out of the flexible packaging layer through wires; by improving the component structure of the wearable flexible magnetic field sensor probe and their setting method, the magnetic field sensor array is arranged and packaged in the flexible packaging layer, and the implantable magnetic composite mesh developed by the prior art can be used to monitor the real-time morphology of the magnetic composite mesh implanted in the body in real time through magnetic field sensing, thereby realizing real-time monitoring of bladder urine capacity; however, the patent has the following defects: The existing flexible ultrasound patch cannot effectively and accurately measure the amount of urine in the patient's bladder, resulting in poor results in measuring the amount of urine in the patient's bladder. Summary of the invention

[0004] The purpose of the present invention is to provide a bladder urine volume measurement system based on a flexible ultrasonic patch, which can effectively and accurately measure the patient's bladder urine volume based on the flexible ultrasonic patch, improve the patient's bladder urine volume measurement effect, and solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: The intravesical urine volume measurement system based on a flexible ultrasound patch includes: A data acquisition module is used to monitor and collect the urine volume in the patient's bladder in real time based on the flexible ultrasonic patch, and obtain an image of the urine volume in the patient's bladder based on the flexible ultrasonic patch; A data transmission module, used for transmitting the urine volume image in the patient's bladder based on the flexible ultrasound patch to the urine volume measurement platform; The urine volume measurement platform is used to perform pattern recognition and measurement of the urine volume in the patient's bladder based on the urine volume image in the patient's bladder based on the flexible ultrasonic patch, and determine the urine volume measurement result in the bladder based on the flexible ultrasonic patch.

[0006] Preferably, the data acquisition module comprises: A flexible ultrasound patch to obtain images of urine volume in a patient’s bladder; Among them, the flexible ultrasonic patch consists of two ultra-thin chips and a high-frequency ultrasonic transducer. When the flexible ultrasonic patch is attached to the surface of the patient's bladder, the ultrasonic transducer emits ultrasonic waves, which are reflected by the bladder wall and received by the ultrasonic transducer and converted into electrical signal output. Through the flexible piezoelectric ultrasonic probe of the flexible ultrasonic patch, an image of the urine volume in the patient's bladder based on the flexible ultrasonic patch is obtained.

[0007] Preferably, the data transmission module includes: A data transmitting unit, used for transmitting an image of the urine volume in the patient's bladder based on the flexible ultrasound patch; A data receiving unit, used for receiving an image of urine volume in a patient's bladder based on a flexible ultrasonic patch; According to the demand for measuring urine volume in the bladder based on the flexible ultrasonic patch, a data transmission link is established between the data transmitting unit and the data receiving unit; The data transmitting unit receives the urine volume image of the patient's bladder based on the flexible ultrasonic patch transmitted from the data acquisition module, and the data transmitting unit transmits the received urine volume image of the patient's bladder based on the flexible ultrasonic patch to the data receiving unit; The data receiving unit receives the patient's bladder urine volume image based on the flexible ultrasonic patch transmitted from the data transmitting unit, and the data receiving unit transmits the received patient's bladder urine volume image based on the flexible ultrasonic patch to the urine volume measurement platform.

[0008] Preferably, a data transmission link is established between the data transmitting unit and the data receiving unit, and the following operations are performed: The data transmitting unit transmits an instruction requesting to establish a data transmission link to the data receiving unit; The data receiving unit receives the instruction transmitted by the data transmitting unit requesting to establish a data transmission link, and the data receiving unit searches its own data transmission channel to check whether the data receiving unit has an idle data transmission channel; When there is an idle data transmission channel in the data receiving unit, the data receiving unit transmits an instruction to the data transmitting unit to agree to establish a data transmission link; The data transmitting unit receives an instruction from the data receiving unit agreeing to establish a data transmission link, and the data transmitting unit establishes a data transmission link with the data receiving unit according to the instruction from the data receiving unit agreeing to establish a data transmission link, so as to transmit an image of the urine volume in the patient's bladder based on the flexible ultrasonic patch.

[0009] Preferably, the urine volume measurement platform comprises: An image processing module is used to process the urine volume image in the patient's bladder based on the flexible ultrasonic patch, and determine a characteristic image of the urine volume in the patient's bladder based on the flexible ultrasonic patch; The urine volume measurement module is used to measure the urine volume in the patient's bladder and determine the urine volume measurement result in the bladder based on the flexible ultrasonic patch.

[0010] Preferably, the image processing module includes: An image denoising unit, used for denoising an image of urine volume in a patient's bladder; Acquire images of urine volume in a patient's bladder using a flexible ultrasound patch; Based on the median filter, the patient's bladder urine volume image based on the flexible ultrasonic patch is subjected to denoising processing, wherein the value of a point in the patient's bladder urine volume image based on the flexible ultrasonic patch is replaced by the median value of each point in a field of the point, so that pixels with a relatively large difference in grayscale values ​​of surrounding pixels are replaced with values ​​close to the surrounding pixel values, thereby eliminating isolated noise points, removing noise from the patient's bladder urine volume image based on the flexible ultrasonic patch, and protecting the edge of the patient's bladder urine volume image based on the flexible ultrasonic patch; An image enhancement unit, used for enhancing the image of urine volume in the patient's bladder; Obtain a denoised image of the urine volume in the patient's bladder; Based on image enhancement technology, the denoised image of the patient's bladder urine volume is enhanced; The denoised image of the urine volume in the patient's bladder is subjected to contrast enhancement and sharpening processing to highlight the detailed features in the denoised image of the urine volume in the patient's bladder and make the urine volume area in the bladder more obvious; An image segmentation unit, used for segmenting the image of urine volume in the patient's bladder; Obtain enhanced images of the urine volume in the patient's bladder; Based on image cropping and magnification technology, the region of interest ROI is extracted from the enhanced patient bladder urine volume image, wherein the meaningful feature parts in the enhanced patient bladder urine volume image are extracted, and the irrelevant background in the enhanced patient bladder urine volume image is removed, so that the focus of analysis is concentrated on the key parts of the enhanced patient bladder urine volume image, and the characteristic image of the patient bladder urine volume based on the flexible ultrasonic patch is determined.

[0011] Preferably, the urine volume measurement module comprises: A model building unit, used for building a bladder urine volume measurement model based on a flexible ultrasonic patch; According to the demand for measuring urine volume in the bladder based on the flexible ultrasound patch, historical images of urine volume in the bladder of patients based on the flexible ultrasound patch are collected; The patient's bladder urine volume historical images based on the flexible ultrasound patch are divided to determine the bladder urine volume measurement training set and the bladder urine volume measurement test set; Selecting a convolutional neural network model framework suitable for measuring urine volume in the bladder based on a flexible ultrasonic patch, and training the selected convolutional neural network model framework suitable for measuring urine volume in the bladder based on a flexible ultrasonic patch based on a training set of urine volume in the bladder; A model for measuring urine volume in the bladder based on a flexible ultrasound patch was determined; The model optimization unit is used to optimize the intra-bladder urine volume measurement model based on the flexible ultrasonic patch, and determine the optimal intra-bladder urine volume measurement model based on the flexible ultrasonic patch.

[0012] Preferably, the urine volume measurement module further includes: A urine volume measuring unit, used for measuring the urine volume in the patient's bladder; Acquire characteristic images of urine volume in the patient's bladder based on a flexible ultrasound patch; Inputting the characteristic image of the urine volume in the patient's bladder based on the flexible ultrasound patch into the optimal bladder urine volume measurement model based on the flexible ultrasound patch; Based on the optimal bladder urine volume measurement model based on the flexible ultrasonic patch, the patient's bladder urine volume characteristic image based on the flexible ultrasonic patch is pattern recognized and classified, and the patient's bladder urine volume characteristic image based on the flexible ultrasonic patch is divided into certain categories according to the characteristics of the patient's bladder urine volume characteristic image based on the flexible ultrasonic patch, so as to measure the patient's bladder urine volume; The results of intravesical urine volume measurement based on a flexible ultrasound patch were determined.

[0013] Preferably, the data acquisition module comprises: A reflection signal analysis unit is used to analyze the signal strength and clarity of the ultrasonic feedback signal received and reflected based on a set signal feedback loop, so as to obtain the signal strength and clarity of the real-time feedback signal; A feedback signal quality optimization curve construction unit is used to optimize the signal strength and clarity of the ultrasonic feedback signal under different urine volumes in the bladder through a reflection signal optimization model based on a BP neural network, and to draw an optimal signal strength curve and an optimal clarity curve of the urine volume feedback optimization signal according to the prediction results; The real-time signal quality judgment unit is used to obtain the optimal signal strength and optimal clarity corresponding to the real-time bladder urine volume through the optimal signal strength curve and the optimal clarity curve according to the real-time bladder urine volume measurement result, and calculate the signal quality evaluation index using the following formula:

[0014] in, is the signal quality evaluation index, To provide real-time feedback on the signal strength of the signal, The optimal signal strength corresponding to the real-time urine volume in the bladder, To provide real-time feedback on the clarity of the signal, The best clarity for real-time urine volume in the bladder; The transmitting frequency adjustment unit is used to calculate the strength difference between the signal strength of the real-time feedback signal and the corresponding optimal signal strength, as well as the clarity difference between the clarity of the real-time feedback signal and the corresponding optimal clarity when the signal quality evaluation index is greater than a preset threshold, and adjust the transmitting frequency of the ultrasonic transducer.

[0015] Preferably, the feedback signal quality optimization curve construction unit includes: The data set construction subunit is used to obtain the stored ultrasonic emission information, ultrasonic feedback signal and its corresponding signal strength and clarity data, perform data cleaning to remove abnormal data, and group the cleaned stored data into corresponding groups to form training sets, verification sets and test sets; The model building subunit is used to build a BP neural network model, and use the training set, validation set and test set to perform adaptive training, parameter adjustment and testing on the model to obtain a reflection signal optimization model; The loss function of BP neural network model training is as follows: in, For the A predicted signal strength or a predicted clarity, is the total number of signal strengths or clarity in the training set, In the training set signal strength or clarity.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention uses a flexible ultrasonic patch to monitor and collect the urine volume in the patient's bladder in real time, obtains the patient's bladder urine volume image based on the flexible ultrasonic patch, determines the patient's bladder urine volume characteristic image based on the flexible ultrasonic patch by processing the patient's bladder urine volume image based on the flexible ultrasonic patch, performs pattern recognition and classification on the patient's bladder urine volume characteristic image based on the flexible ultrasonic patch based on the optimal bladder urine volume measurement model based on the flexible ultrasonic patch, divides the patient's bladder urine volume characteristic image based on the flexible ultrasonic patch into certain categories according to the characteristics of the patient's bladder urine volume characteristic image based on the flexible ultrasonic patch, and then measures the patient's bladder urine volume, determines the bladder urine volume measurement result based on the flexible ultrasonic patch, can effectively and accurately measure the patient's bladder urine volume based on the flexible ultrasonic patch, and can improve the patient's bladder urine volume measurement effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 The module schematic diagram of the bladder urine volume measurement system based on the flexible ultrasonic patch of the present invention; Figure 2 The figure is a structural block diagram of the intra-bladder urine volume measurement system based on the flexible ultrasonic patch of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] In order to solve the problem that the existing flexible ultrasound patch cannot effectively and accurately measure the urine volume in the patient's bladder, resulting in poor measurement results of the urine volume in the patient's bladder, please refer to Figure 1-Figure 2 , this embodiment provides the following technical solutions: The intravesical urine volume measurement system based on a flexible ultrasound patch includes: A data acquisition module is used to monitor and collect the urine volume in the patient's bladder in real time based on the flexible ultrasonic patch, and obtain an image of the urine volume in the patient's bladder based on the flexible ultrasonic patch; In this embodiment, the data acquisition module includes: A flexible ultrasound patch to obtain images of urine volume in a patient’s bladder; Among them, the flexible ultrasonic patch consists of two ultra-thin chips and a high-frequency ultrasonic transducer. When the flexible ultrasonic patch is attached to the surface of the patient's bladder, the ultrasonic transducer emits ultrasonic waves, which are reflected by the bladder wall and received by the ultrasonic transducer and converted into electrical signal output. Through the flexible piezoelectric ultrasonic probe of the flexible ultrasonic patch, an image of the urine volume in the patient's bladder based on the flexible ultrasonic patch is obtained.

[0020] It should be noted that the flexible ultrasound patch is a key component of the intrabladder urine volume measurement system. It is made of materials with excellent flexibility and biocompatibility and can be easily adhered to the skin surface.

[0021] A data transmission module, used for transmitting the urine volume image in the patient's bladder based on the flexible ultrasound patch to the urine volume measurement platform; In this embodiment, the data transmission module includes: A data transmitting unit, used for transmitting an image of the urine volume in the patient's bladder based on the flexible ultrasound patch; A data receiving unit, used for receiving an image of urine volume in a patient's bladder based on a flexible ultrasonic patch; According to the demand for measuring urine volume in the bladder based on the flexible ultrasonic patch, a data transmission link is established between the data transmitting unit and the data receiving unit; Specifically, the data transmitting unit transmits an instruction requesting to establish a data transmission link to the data receiving unit; The data receiving unit receives the instruction transmitted by the data transmitting unit requesting to establish a data transmission link, and the data receiving unit searches its own data transmission channel to check whether the data receiving unit has an idle data transmission channel; When there is an idle data transmission channel in the data receiving unit, the data receiving unit transmits an instruction to the data transmitting unit to agree to establish a data transmission link; The data transmitting unit receives an instruction transmitted by the data receiving unit for agreeing to establish a data transmission link, and the data transmitting unit establishes a data transmission link with the data receiving unit according to the instruction transmitted by the data receiving unit for agreeing to establish a data transmission link, so as to transmit an image of the urine volume in the patient's bladder based on the flexible ultrasonic patch; The data transmitting unit receives the urine volume image of the patient's bladder based on the flexible ultrasonic patch transmitted from the data acquisition module, and the data transmitting unit transmits the received urine volume image of the patient's bladder based on the flexible ultrasonic patch to the data receiving unit; The data receiving unit receives the patient's bladder urine volume image based on the flexible ultrasonic patch transmitted from the data transmitting unit, and the data receiving unit transmits the received patient's bladder urine volume image based on the flexible ultrasonic patch to the urine volume measurement platform.

[0022] It should be noted that the transmission of the urine volume image in the patient's bladder based on the flexible ultrasound patch can be achieved through wireless communication technologies such as Bluetooth and Wi-Fi.

[0023] The urine volume measurement platform is used to perform pattern recognition and measurement of the urine volume in the patient's bladder based on the urine volume image in the patient's bladder based on the flexible ultrasonic patch, and determine the urine volume measurement result in the bladder based on the flexible ultrasonic patch.

[0024] In this embodiment, the urine volume measurement platform includes: An image processing module is used to process the urine volume image in the patient's bladder based on the flexible ultrasonic patch, and determine a characteristic image of the urine volume in the patient's bladder based on the flexible ultrasonic patch; In this embodiment, the image processing module includes: An image denoising unit, used for denoising an image of urine volume in a patient's bladder; Acquire images of urine volume in a patient's bladder using a flexible ultrasound patch; Based on the median filter, the patient's bladder urine volume image based on the flexible ultrasonic patch is subjected to denoising processing, wherein the value of a point in the patient's bladder urine volume image based on the flexible ultrasonic patch is replaced by the median value of each point in a field of the point, so that pixels with a relatively large difference in grayscale values ​​of surrounding pixels are replaced with values ​​close to the surrounding pixel values, thereby eliminating isolated noise points, removing noise from the patient's bladder urine volume image based on the flexible ultrasonic patch, and protecting the edge of the patient's bladder urine volume image based on the flexible ultrasonic patch; An image enhancement unit, used for enhancing the image of urine volume in the patient's bladder; Obtain a denoised image of the urine volume in the patient's bladder; Based on image enhancement technology, the denoised image of the patient's bladder urine volume is enhanced; The denoised image of the urine volume in the patient's bladder is subjected to contrast enhancement and sharpening processing to highlight the detailed features in the denoised image of the urine volume in the patient's bladder and make the urine volume area in the bladder more obvious; An image segmentation unit, used for segmenting the image of urine volume in the patient's bladder; Obtain enhanced images of the urine volume in the patient's bladder; Based on image cropping and magnification technology, the region of interest ROI is extracted from the enhanced patient bladder urine volume image, wherein the meaningful feature parts in the enhanced patient bladder urine volume image are extracted, and the irrelevant background in the enhanced patient bladder urine volume image is removed, so that the focus of analysis is concentrated on the key parts of the enhanced patient bladder urine volume image, and the characteristic image of the patient bladder urine volume based on the flexible ultrasonic patch is determined.

[0025] The urine volume measurement module is used to measure the urine volume in the patient's bladder and determine the urine volume measurement result in the bladder based on the flexible ultrasonic patch.

[0026] In this embodiment, the urine volume measurement module includes: A model building unit, used for building a bladder urine volume measurement model based on a flexible ultrasonic patch; According to the demand for measuring urine volume in the bladder based on the flexible ultrasound patch, historical images of urine volume in the bladder of patients based on the flexible ultrasound patch are collected; The patient's bladder urine volume historical images based on the flexible ultrasound patch are divided to determine the bladder urine volume measurement training set and the bladder urine volume measurement test set; Selecting a convolutional neural network model framework suitable for measuring urine volume in the bladder based on a flexible ultrasonic patch, and training the selected convolutional neural network model framework suitable for measuring urine volume in the bladder based on a flexible ultrasonic patch based on a training set of urine volume in the bladder; A model for measuring urine volume in the bladder based on a flexible ultrasound patch was determined; A model optimization unit, used for optimizing the bladder urine volume measurement model based on the flexible ultrasonic patch, and determining the optimal bladder urine volume measurement model based on the flexible ultrasonic patch; Among them, based on the intra-bladder urine volume measurement test set, the performance test of the intra-bladder urine volume measurement model based on the flexible ultrasonic patch is carried out to determine whether the performance of the intra-bladder urine volume measurement model based on the flexible ultrasonic patch meets the standard requirements and determine the test results of the intra-bladder urine volume measurement model; According to the test results of the intrabladder urine volume measurement model, the intrabladder urine volume measurement model based on the flexible ultrasonic patch was mined and analyzed, parameters were adjusted and structural settings were optimized, the intrabladder urine volume measurement model based on the flexible ultrasonic patch was iterated repeatedly, and the optimal intrabladder urine volume measurement model based on the flexible ultrasonic patch was determined. The performance of the optimal intrabladder urine volume measurement model based on the flexible ultrasonic patch can meet the standard requirements of the intrabladder urine volume measurement model.

[0027] A urine volume measuring unit, used for measuring the urine volume in the patient's bladder; Acquire characteristic images of urine volume in the patient's bladder based on a flexible ultrasound patch; Inputting the characteristic image of the urine volume in the patient's bladder based on the flexible ultrasound patch into the optimal bladder urine volume measurement model based on the flexible ultrasound patch; Based on the optimal bladder urine volume measurement model based on the flexible ultrasonic patch, the patient's bladder urine volume characteristic image based on the flexible ultrasonic patch is pattern recognized and classified, and the patient's bladder urine volume characteristic image based on the flexible ultrasonic patch is divided into certain categories according to the characteristics of the patient's bladder urine volume characteristic image based on the flexible ultrasonic patch, so as to measure the patient's bladder urine volume; The results of intravesical urine volume measurement based on a flexible ultrasound patch were determined.

[0028] Based on the above embodiment, the data acquisition module includes: A reflection signal analysis unit is used to analyze the signal strength and clarity of the ultrasonic feedback signal received and reflected based on a set signal feedback loop, so as to obtain the signal strength and clarity of the real-time feedback signal; A feedback signal quality optimization curve construction unit is used to optimize the signal strength and clarity of the ultrasonic feedback signal under different urine volumes in the bladder through a reflection signal optimization model based on a BP neural network, and to draw an optimal signal strength curve and an optimal clarity curve of the urine volume feedback optimization signal according to the prediction results; The real-time signal quality judgment unit is used to obtain the optimal signal strength and optimal clarity corresponding to the real-time bladder urine volume through the optimal signal strength curve and the optimal clarity curve according to the real-time bladder urine volume measurement result, and calculate the signal quality evaluation index using the following formula:

[0029] in, is the signal quality evaluation index, To provide real-time feedback on the signal strength of the signal, The optimal signal strength corresponding to the real-time urine volume in the bladder, To provide real-time feedback on the clarity of the signal, The best clarity for real-time urine volume in the bladder; The transmitting frequency adjustment unit is used to calculate the strength difference between the signal strength of the real-time feedback signal and the corresponding optimal signal strength, as well as the clarity difference between the clarity of the real-time feedback signal and the corresponding optimal clarity when the signal quality evaluation index is greater than a preset threshold, and adjust the transmitting frequency of the ultrasonic transducer.

[0030] Specifically, based on historical data, the reflection signal optimization model is used to optimize the quality of the ultrasonic feedback signal, and the optimal signal strength and optimal clarity of the ultrasonic feedback signal corresponding to different urine volumes are obtained to construct a reference curve; the signal strength and clarity of the real-time feedback signal are compared with the optimal signal strength and optimal clarity queried on the reference curve for the corresponding urine volume, and the above algorithm is used to evaluate the signal quality. If the signal quality deviates too far from the optimal signal, the ultrasonic signal transmission frequency is adjusted according to the difference in signal quality parameters and the relationship between ultrasonic signal emission and human body reflection, so as to make the quality of the reflected signal received during the measurement process as optimal or close to optimal as possible. Through this technical means, the reliability of the measurement results can be avoided from being affected by signal quality problems, and the credibility of the measurement results can be guaranteed. The signal quality evaluation index is introduced by the above algorithm to realize the quantification of quality evaluation, avoid the influence of human subjective factors, and improve the objectivity and reliability of the evaluation.

[0031] Based on the above-mentioned embodiment, the feedback signal quality optimization curve construction unit includes: The data set construction subunit is used to obtain the stored ultrasonic emission information, ultrasonic feedback signal and its corresponding signal strength and clarity data, perform data cleaning to remove abnormal data, and group the cleaned stored data into corresponding groups to form training sets, verification sets and test sets; The model building subunit is used to build a BP neural network model, and use the training set, validation set and test set to perform adaptive training, parameter adjustment and testing on the model to obtain a reflection signal optimization model; The loss function of BP neural network model training is as follows:

[0032] in, For the A predicted signal strength or a predicted clarity, is the total number of signal strengths or clarity in the training set, In the training set signal strength or clarity.

[0033] Specifically, a BP neural network is used to construct a corresponding model, and a reflection signal optimization model for optimizing and predicting signal strength and clarity is obtained through learning and adaptive training. In order to make the model suitable for the urine volume measurement scenario of the present invention, the stored historical data is processed and respectively formed into data sets, which are used for learning and adaptive training of the reflection signal optimization model, and a loss function for training is set to speed up the training process as much as possible. By adjusting and participating in the test, the reflection signal optimization model meets the target accuracy requirements, so that in subsequent use, the accuracy and reliability of the optimal signal quality reference curve obtained by its data processing results are guaranteed to ensure that accurate urine volume measurement results can be obtained under different physiological conditions.

[0034] It should be noted that pattern recognition is the use of computational methods to divide samples into certain categories based on their characteristics. Pattern recognition uses mathematical techniques through computers to study the automatic processing and interpretation of patterns, and the environment and objects are collectively referred to as "patterns". With the development of computer technology, humans have the possibility to study complex information processing processes, an important form of which is the recognition of the environment and objects by living organisms. Pattern recognition takes image processing and computer vision, speech and language information processing, brain network groups, brain-like intelligence, etc. as its main research directions. It studies the mechanism of human pattern recognition and effective computational methods. Among them, in medical diagnosis, pattern recognition has achieved results in cancer cell detection, X-ray analysis, blood tests, chromosome analysis, electrocardiogram diagnosis and electroencephalogram diagnosis.

[0035] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0036] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A bladder urine volume measurement system based on a flexible ultrasonic patch, characterized in that: include: A data acquisition module is used to monitor and collect the urine volume in the patient's bladder in real time based on the flexible ultrasonic patch, and obtain an image of the urine volume in the patient's bladder based on the flexible ultrasonic patch; A data transmission module, used for transmitting the urine volume image in the patient's bladder based on the flexible ultrasound patch to the urine volume measurement platform; The urine volume measurement platform is used to perform pattern recognition and measurement of the urine volume in the patient's bladder based on the urine volume image in the patient's bladder based on the flexible ultrasonic patch, and determine the urine volume measurement result in the bladder based on the flexible ultrasonic patch.

2. The bladder urine volume measurement system based on a flexible ultrasonic patch according to claim 1, characterized in that: The data acquisition module comprises: A flexible ultrasound patch that is used to obtain images of urine volume in a patient’s bladder; Among them, the flexible ultrasonic patch consists of two ultra-thin chips and a high-frequency ultrasonic transducer. When the flexible ultrasonic patch is attached to the surface of the patient's bladder, the ultrasonic transducer emits ultrasonic waves, which are reflected by the bladder wall and received by the ultrasonic transducer and converted into electrical signal output. Through the flexible piezoelectric ultrasonic probe of the flexible ultrasonic patch, an image of the urine volume in the patient's bladder based on the flexible ultrasonic patch is obtained.

3. The bladder urine volume measurement system based on a flexible ultrasonic patch according to claim 2, characterized in that: The data transmission module comprises: A data transmitting unit, used for transmitting an image of the urine volume in the patient's bladder based on the flexible ultrasound patch; A data receiving unit, used for receiving an image of the urine volume in the patient's bladder based on the flexible ultrasonic patch; According to the demand for measuring urine volume in the bladder based on the flexible ultrasonic patch, a data transmission link is established between the data transmitting unit and the data receiving unit; The data transmitting unit receives the urine volume image of the patient's bladder based on the flexible ultrasonic patch transmitted from the data acquisition module, and the data transmitting unit transmits the received urine volume image of the patient's bladder based on the flexible ultrasonic patch to the data receiving unit; The data receiving unit receives the patient's bladder urine volume image based on the flexible ultrasonic patch transmitted from the data transmitting unit, and the data receiving unit transmits the received patient's bladder urine volume image based on the flexible ultrasonic patch to the urine volume measurement platform.

4. The bladder urine volume measurement system based on a flexible ultrasonic patch according to claim 3, characterized in that: To establish a data transmission link between the data transmitting unit and the data receiving unit, perform the following operations: The data transmitting unit transmits an instruction requesting to establish a data transmission link to the data receiving unit; The data receiving unit receives the instruction transmitted by the data transmitting unit requesting to establish a data transmission link, and the data receiving unit searches its own data transmission channel to check whether the data receiving unit has an idle data transmission channel; When there is an idle data transmission channel in the data receiving unit, the data receiving unit transmits an instruction to the data transmitting unit to agree to establish a data transmission link; The data transmitting unit receives an instruction from the data receiving unit agreeing to establish a data transmission link, and the data transmitting unit establishes a data transmission link with the data receiving unit according to the instruction from the data receiving unit agreeing to establish a data transmission link, so as to transmit an image of the urine volume in the patient's bladder based on the flexible ultrasonic patch.

5. The system for measuring urine volume in the bladder based on a flexible ultrasonic patch according to claim 4, characterized in that: The urine volume measurement platform comprises: An image processing module, used for processing the image of the urine volume in the patient's bladder based on the flexible ultrasonic patch, and determining a characteristic image of the urine volume in the patient's bladder based on the flexible ultrasonic patch; The urine volume measurement module is used to measure the urine volume in the patient's bladder and determine the urine volume measurement result in the bladder based on the flexible ultrasonic patch.

6. The system for measuring urine volume in the bladder based on a flexible ultrasonic patch according to claim 5, characterized in that: The image processing module comprises: An image denoising unit, used for denoising an image of urine volume in a patient's bladder; Acquire images of urine volume in a patient's bladder using a flexible ultrasound patch; Based on the median filter, the patient's bladder urine volume image based on the flexible ultrasonic patch is subjected to denoising processing, wherein the value of a point in the patient's bladder urine volume image based on the flexible ultrasonic patch is replaced by the median value of each point in a field of the point, so that pixels with a relatively large difference in grayscale values ​​of surrounding pixels are replaced with values ​​close to the surrounding pixel values, thereby eliminating isolated noise points, removing noise from the patient's bladder urine volume image based on the flexible ultrasonic patch, and protecting the edge of the patient's bladder urine volume image based on the flexible ultrasonic patch; An image enhancement unit, used for enhancing the image of urine volume in the patient's bladder; Obtain a denoised image of the urine volume in the patient's bladder; Based on image enhancement technology, the denoised image of the patient's bladder urine volume is enhanced; The denoised image of the urine volume in the patient's bladder is subjected to contrast enhancement and sharpening processing to highlight the detailed features in the denoised image of the urine volume in the patient's bladder and make the urine volume area in the bladder more obvious; An image segmentation unit, used for segmenting the image of urine volume in the patient's bladder; Obtain enhanced images of the urine volume in the patient's bladder; Based on image cropping and magnification technology, the region of interest ROI is extracted from the enhanced patient bladder urine volume image, wherein the meaningful feature parts in the enhanced patient bladder urine volume image are extracted, and the irrelevant background in the enhanced patient bladder urine volume image is removed, so that the focus of analysis is concentrated on the key parts of the enhanced patient bladder urine volume image, and the characteristic image of the patient bladder urine volume based on the flexible ultrasonic patch is determined.

7. The system for measuring urine volume in the bladder based on a flexible ultrasonic patch according to claim 6, characterized in that: The urine volume measurement module comprises: A model building unit, used for building a bladder urine volume measurement model based on a flexible ultrasonic patch; According to the demand for measuring urine volume in the bladder based on the flexible ultrasound patch, historical images of urine volume in the bladder of patients based on the flexible ultrasound patch are collected; The patient's bladder urine volume historical images based on the flexible ultrasound patch are divided to determine the bladder urine volume measurement training set and the bladder urine volume measurement test set; Selecting a convolutional neural network model framework suitable for measuring urine volume in the bladder based on a flexible ultrasonic patch, and training the selected convolutional neural network model framework suitable for measuring urine volume in the bladder based on a flexible ultrasonic patch based on a training set of urine volume in the bladder; A model for measuring urine volume in the bladder based on a flexible ultrasound patch was determined; The model optimization unit is used to optimize the intra-bladder urine volume measurement model based on the flexible ultrasonic patch, and determine the optimal intra-bladder urine volume measurement model based on the flexible ultrasonic patch.

8. The system for measuring urine volume in the bladder based on a flexible ultrasonic patch according to claim 7, characterized in that: The urine volume measurement module further includes: A urine volume measuring unit, used for measuring the urine volume in the patient's bladder; Acquire characteristic images of urine volume in the patient's bladder based on a flexible ultrasound patch; Inputting the characteristic image of the urine volume in the patient's bladder based on the flexible ultrasound patch into the optimal bladder urine volume measurement model based on the flexible ultrasound patch; Based on the optimal bladder urine volume measurement model based on the flexible ultrasonic patch, the patient's bladder urine volume characteristic image based on the flexible ultrasonic patch is pattern recognized and classified, and the patient's bladder urine volume characteristic image based on the flexible ultrasonic patch is divided into certain categories according to the characteristics of the patient's bladder urine volume characteristic image based on the flexible ultrasonic patch, so as to measure the patient's bladder urine volume; The results of intravesical urine volume measurement based on a flexible ultrasound patch were determined.

9. The system for measuring urine volume in the bladder based on a flexible ultrasonic patch according to claim 1, characterized in that: The data acquisition module comprises: A reflection signal analysis unit is used to analyze the signal strength and clarity of the ultrasonic feedback signal received and reflected based on a set signal feedback loop, so as to obtain the signal strength and clarity of the real-time feedback signal; A feedback signal quality optimization curve construction unit is used to optimize the signal strength and clarity of the ultrasonic feedback signal under different urine volumes in the bladder through a reflection signal optimization model based on a BP neural network, and to draw an optimal signal strength curve and an optimal clarity curve of the urine volume feedback optimization signal according to the prediction results; The real-time signal quality judgment unit is used to obtain the optimal signal strength and optimal clarity corresponding to the real-time bladder urine volume through the optimal signal strength curve and the optimal clarity curve according to the real-time bladder urine volume measurement result, and calculate the signal quality evaluation index using the following formula: in, is the signal quality evaluation index, To provide real-time feedback on the signal strength of the signal, The optimal signal strength corresponding to the real-time urine volume in the bladder, To provide real-time feedback on the clarity of the signal, The best clarity for real-time urine volume in the bladder; The transmitting frequency adjustment unit is used to calculate the strength difference between the signal strength of the real-time feedback signal and the corresponding optimal signal strength, as well as the clarity difference between the clarity of the real-time feedback signal and the corresponding optimal clarity when the signal quality evaluation index is greater than a preset threshold, and adjust the transmitting frequency of the ultrasonic transducer.

10. The system for measuring urine volume in the bladder based on a flexible ultrasonic patch according to claim 9, characterized in that: The feedback signal quality optimization curve construction unit includes: The data set construction subunit is used to obtain the stored ultrasonic emission information, ultrasonic feedback signal and its corresponding signal strength and clarity data, perform data cleaning to remove abnormal data, and group the cleaned stored data into corresponding groups to form training sets, verification sets and test sets; The model building subunit is used to build a BP neural network model, and use the training set, validation set and test set to perform adaptive training, parameter adjustment and testing on the model to obtain a reflection signal optimization model; The loss function of BP neural network model training is as follows: in, For the A predicted signal strength or a predicted clarity, is the total number of signal strengths or clarity in the training set, In the training set signal strength or clarity.

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