A wearable intelligent urine test method and device, system and wearable urine test instrument

Abstract

The present invention relates to the field of intelligent medical diagnosis, and in particular to a wearable intelligent urine test method and device, system and wearable urine tester. This intelligent urine test method is to wear the urine tester on the patient using a wearable design, judge the urination and urine collection rules through sensing technology and algorithms, use near-infrared technology to preliminarily detect the basic situation of urine and image processing technology to secondary detect the formed components of urine, and combine with the comparative analysis of the host computer to obtain the results of the patient's urine test and display them on the wearable device, so as to facilitate the urine test of non-hospitalized patients such as home care or nursing homes, improve the convenience of urine test for non-hospitalized patients, optimize medical testing resources, and greatly improve the early identification of patients with abnormal urinary tract indicators, and can be dynamically tracked and used as a reference for Internet diagnosis and treatment.

Description

Technical Field

[0001] The present invention relates to the field of intelligent medical diagnosis, and in particular to a wearable intelligent urine testing method, system and wearable urine testing instrument. Background Art

[0002] In the prior art, when a series of physical examinations, especially urine tests, are required on patients, urine is generally extracted by catheterization, such as inserting a catheter, and then sent to the laboratory for testing. For non-hospitalized patients such as those receiving home care or nursing homes, it is inconvenient to go to the hospital for urine tests. Obviously, this testing method is not convenient enough. Later, a wearable urine test auxiliary collection device that does not require a catheter was developed. The patient only needs to wear the device to assist in urine collection. Although this device avoids the trouble and pain of catheterization, the urine sample still needs to be sent to the hospital for testing after urine collection. This testing process is not conducive to the preservation of urine and may cause contamination, thereby leading to deviations in the test results. There is also a wearable urine test device that relies on the chemical reaction of the urine sample and the chemical reagent to determine the urine test result. This method can only detect a single urine test result, and the test result is not comprehensive, systematic, and has low accuracy. Summary of the invention

[0003] In view of the shortcomings of the prior art, the present invention provides a wearable urine testing method that can perform automatic sampling and intelligent urine testing. This intelligent urine testing method solves the problems of judging urination, urine collection and urine testing in one stop through sensing technology, near-infrared technology and image processing technology. The wearable design method is more convenient for urine testing of non-hospitalized patients such as home care or nursing homes, improves the convenience of urine testing for non-hospitalized patients, optimizes medical testing resources, and greatly improves the early identification of patients with abnormal urinary tract indicators. It can be dynamically tracked and used as a reference for Internet diagnosis and treatment.

[0004] In one aspect, the present invention provides a wearable intelligent urine testing method, comprising:

[0005] receiving a first detection signal, wherein the first detection signal is a bladder pressure value of a patient, the bladder pressure value being obtained by a pressure sensor in a wearable urine testing device, and calculating a predicted urine output according to the bladder pressure value;

[0006] Sending a sampling reminder message according to the predicted urine output;

[0007] In response to the sampling reminder information, the patient's urine is sampled according to a sampling rule, wherein the sampling rule includes a first sampling rule or a second sampling rule, wherein the first sampling rule is to sample the patient's front-end urine, mid-end urine, or back-end urine to obtain a first sample, and the second sampling rule is to sample the patient's front-end urine, mid-end urine, and back-end urine to obtain a second sample;

[0008] Expose the first sample or the second sample with monochromatic light, convert the optical signal obtained after the monochromatic light exposure into an electrical signal through a photoelectric signal conversion circuit to obtain a second detection signal, and obtain image information after the monochromatic light exposure as a third detection signal;

[0009] The second detection signal and the third detection signal are sent, and the urine test result of the patient is obtained and displayed by comparing the second detection signal and the third detection signal with a urine test database.

[0010] Preferably, the sampling rules further include:

[0011] The third sampling rule is to sample the patient's posterior urine to obtain a third sample, and the third sample is used to compare with the front urine, mid-stream urine and posterior urine in the first sample or the second sample to obtain the accuracy of the sampling of the front urine, mid-stream urine and posterior urine in the first sample or the second sample.

[0012] Specifically, sending the sampling reminder information according to the predicted urine output includes:

[0013] When the predicted urine output is greater than or equal to the first threshold, a sampling reminder message is sent; when the predicted urine output is less than the first threshold, the first detection signal continues to be received, and the predicted urine output is calculated using the bladder pressure value.

[0014] Specifically, the first sampling rule includes: when the predicted urine output is greater than or equal to a first threshold, sampling the patient's front-end urine, mid-end urine or back-end urine to obtain a first sample; the second sampling rule includes: when the predicted urine output is greater than or equal to a first threshold and greater than a second threshold, sampling the patient's front-end urine, mid-end urine and back-end urine to obtain a second sample; the third sampling rule includes: when the rate of change of the bladder pressure value is greater than a third threshold, sampling the patient's urine to obtain a third sample.

[0015] Specifically, the monochromatic light is near-infrared light, the second detection signal includes albumin information, glucose information and occult blood information, the host computer pre-stores model information of albumin information, glucose information and hemoglobin information, and compares the second detection signal with the pre-stored model information to obtain and display the first urine test result of the first sample.

[0016] Specifically, the monochromatic light uses three different wavelengths of near-infrared light to irradiate the first sample or the second sample in turn. When the monochromatic light uses near-infrared light with a wavelength of 1040nm, the second detection signal is glucose information; when the monochromatic light uses near-infrared light with a wavelength of 1550nm, the second detection signal is albumin information; when the monochromatic light uses near-infrared light with a wavelength of 610nm, the second detection signal is hemoglobin information.

[0017] Specifically, the acquiring the image information after being illuminated by monochromatic light as the third detection signal includes:

[0018] The image information is acquired by a microscope camera, which is located on a camera platform. The camera platform is connected to a host computer, and the host computer sends a platform movement shooting instruction every N seconds. The platform movement shooting instruction is used to move the camera platform and control the microscope camera to shoot.

[0019] On the one hand, the present invention also provides a wearable intelligent urine testing device, comprising:

[0020] A urine volume detection unit, used for a first detection signal, wherein the first detection signal is a bladder pressure value of the patient, the bladder pressure value is obtained by a pressure sensor in the wearable urine test device, and a predicted urine volume is calculated according to the bladder pressure value;

[0021] a reminder unit, used for sending a sampling reminder message according to the predicted urine output;

[0022] A urine sampling unit, for responding to the sampling reminder information, sampling the patient's urine according to a sampling rule, wherein the sampling rule includes a first sampling rule or a second sampling rule, wherein the first sampling rule is to sample the patient's front-end urine, mid-end urine, or back-end urine to obtain a first sample, and the second sampling rule is to sample the patient's front-end urine, mid-end urine, and back-end urine to obtain a second sample;

[0023] a urine detection unit, configured to irradiate the first sample or the second sample with monochromatic light, convert the light signal obtained after the monochromatic light irradiation into an electrical signal through a photoelectric signal conversion circuit to obtain a second detection signal, and obtain image information after the monochromatic light irradiation as a third detection signal;

[0024] The result display unit is used to send the second detection signal and the third detection signal, and compare the second detection signal and the third detection signal with the urine test database to obtain and display the patient's urine test result.

[0025] On the one hand, the present invention also provides a wearable intelligent urine test system, including: a wearable urine test instrument, a communication cable and a host computer, the host computer is used to receive a second detection signal and a third detection signal sent by the wearable device through the communication cable, the second detection signal is a signal sent by the wearable urine test instrument through a photoelectric conversion circuit after the wearable urine test instrument irradiates the urine test sample with near-infrared light, and the third detection signal is an image signal after the wearable urine test instrument uses a microscope camera to photograph the urine test sample irradiated with near-infrared light. After receiving the second detection signal and the third detection signal, the host computer compares the urine test modeling information database in the host computer, obtains the urine test result and returns the urine test result to the wearable urine test instrument for display.

[0026] On the one hand, the present invention also provides a wearable urine tester, comprising: a processor, a pressure sensor, a urine collector, a urine sampling glass slide, an LED light group, a photoelectric conversion circuit, a microscope camera and a camera platform, wherein the processor is respectively connected to the pressure sensor, the urine collector, the LED light group and the camera platform, the urine collector comprises a front urine collector, a middle urine collector and a rear urine collector, and the urine sampling glass slide comprises a front urine sampling glass slide, a middle urine sampling glass slide and a rear urine sampling glass slide;

[0027] The pressure sensor is used to measure the pressure value of the patient's bladder, and the processor receives the bladder pressure value of the pressure sensor to calculate the predicted urine output;

[0028] The urine collector samples each section of urine according to the predicted urine output calculated by the processor and the sampling rule, and stores the samples in the corresponding urine sampling slides;

[0029] The LED light group includes three groups of LED lights, which are respectively arranged on the front urine sampling slide, the middle urine sampling slide and the back urine sampling slide. The processor controls the LED light group to emit near-infrared light of different wavelengths to illuminate the urine sampling slide. The photoelectric conversion circuit includes a photoelectric sensor, which is used to receive the near-infrared light passing through the urine sampling slide and convert it into an electrical signal as a second detection signal.

[0030] A microscope camera is installed on the camera platform, and the microscope camera includes three microscope cameras, which are respectively used to photograph the front urine sampling slide, the middle urine sampling slide and the back urine sampling slide after being irradiated by three groups of LED lights, and use the image information after the photographing as the third detection signal;

[0031] The processor sends the second detection signal and the third detection signal, receives the urine test result from the host computer, and displays it through the wearable urine test instrument.

[0032] Through the above-mentioned intelligent urine test method, the urine tester is worn on the patient using a wearable design, the urination and urine collection rules are judged through sensing technology and algorithms, the basic situation of urine is preliminarily detected using near-infrared technology and the formed components of urine are secondary detected using image processing technology, and combined with the comparative analysis of the host computer, the results of the patient's urine test are obtained and displayed on the wearable device, thereby facilitating urine tests for non-hospitalized patients such as home care or nursing homes, improving the convenience of urine tests for non-hospitalized patients, optimizing medical testing resources, and at the same time greatly improving the early identification of patients with abnormal urinary tract indicators, and being able to dynamically track and serve as a reference for Internet diagnosis and treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a flow chart of the wearable intelligent urine testing method;

[0034] Figure 2 This is a flow chart of another wearable intelligent urine testing method;

[0035] Figure 3 This is a block diagram of a wearable intelligent urine testing device;

[0036] Figure 4 This is the block diagram of the wearable intelligent urine testing system. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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.

[0038] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in sequences other than those illustrated or described herein.

[0039] It should be understood that in various embodiments of the present invention, the size of the sequence number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0040] It should be understood that in the present invention, "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0041] It should be understood that in the present invention, "plurality" refers to two or more than two. "And / or" is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "Contains A, B and C", "Contains A, B, C" means that A, B, and C are all included, "Contains A, B or C" means that one of A, B, and C is included, and "Contains A, B and / or C" means that any one, any two, or any three of A, B, and C are included.

[0042] It should be understood that in the present invention, "B corresponding to A", "B corresponding to A", "A corresponds to B" or "B corresponds to A" means that B is associated with A and B can be determined based on A. Determining B based on A does not mean determining B based only on A, but B can also be determined based on A and / or other information. A and B match when the similarity between A and B is greater than or equal to a preset threshold.

[0043] Depending on the context, "if" as used herein may be interpreted as "when" or "when" or "in response to determining" or "in response to detecting."

[0044] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0045] Embodiment 1

[0046] This embodiment provides a wearable intelligent urine test method, which is described based on a wearable urine test instrument. The method includes:

[0047] Step S1: receiving a first detection signal, the first detection signal being a bladder pressure value of a patient, the bladder pressure value being obtained by a pressure sensor in a wearable urine test device, and calculating a predicted urine output according to the bladder pressure value;

[0048] Step S2: Sending a sampling reminder message based on the predicted urine output;

[0049] Step S3: In response to the sampling reminder information, the patient's urine is sampled according to a sampling rule, the sampling rule includes a first sampling rule or a second sampling rule, the first sampling rule is to sample the patient's front urine, mid-stream urine or back-stream urine to obtain a first sample, and the second sampling rule is to sample the patient's front urine, mid-stream urine and back-stream urine to obtain a second sample;

[0050] Step S4: irradiating the first sample or the second sample with monochromatic light, converting the optical signal obtained after the monochromatic light irradiation into an electrical signal through a photoelectric signal conversion circuit to obtain a second detection signal, and obtaining image information after the monochromatic light irradiation as a third detection signal;

[0051] Step S5: Send the second detection signal and the third detection signal, compare the second detection signal and the third detection signal with the urine test database, obtain the patient's urine test result and display it.

[0052] It should be noted that, for step S1, there is a pressure sensor on the wearable urine tester. After the pressure sensor is worn on the patient, it is located near the patient's bladder. As the amount of urine in the patient's bladder increases, the pressure sensor also detects the increase in pressure through the position in contact with the bladder. The register of the urine tester stores the comparison model parameters of the pressure value and the urine volume. The processor of the urine tester reads the data stored in the register and compares the pressure sensor value at this time to calculate the predicted urine volume. For step S2, according to the urine volume predicted in step S1, the processor sends a reminder message to the host computer or the urine tester whether to take a sample.

[0053] For step S3, the sampling rules include two types. Due to the diagnosis of diseases of different patients, urine information at different stages indicates the pathological conditions of different parts, and the clinical guiding significance is different. Usually, the front urine reflects the urethra, the middle urine reflects the kidney, and the back urine reflects the bladder. If the front urine is abnormal, it may indicate that the patient has urethritis. If the middle urine is abnormal, it may indicate that the patient has chronic cystitis. If the back urine is abnormal, it may indicate that the patient has prostatitis, seminal vesiculitis, etc., and if all three urines are abnormal, it may indicate that the patient has glomerulitis, pyelonephritis, renal tumors, etc. Therefore, according to different situations, urine of different time periods needs to be taken to briefly and accurately judge the patient's pathological conditions. In this step, when the urine tester uses the first sampling rule for sampling, it can search the patient's medical record information recorded in the host computer, and sample the urine of a certain part of the patient's body in a targeted manner according to the lesions in the part of the patient's body. The corresponding time period is used as the first sample. For example, if the patient's medical record information is pre-stored in the host computer and indicates that the patient has symptoms of cystitis, the urine tester samples the patient's mid-stream urine; if the patient's medical record information is pre-stored in the host computer and indicates that the patient has symptoms of urethritis, the urine tester samples the patient's front-end urine; if the patient's medical record information is pre-stored in the host computer and indicates that the patient has symptoms of prostatitis, the urine tester samples the patient's back-end urine. If the sample is the front urine, the sampled urine is stored in the front urine collector. If the sample is the middle urine, the sampled urine is stored in the middle urine collector. If the sample is the back urine, the sampled urine is stored in the back urine collector. After sampling, the remaining urine is stored in the waste liquid collector.

[0054] As for how to accurately obtain the front urine, mid-stream urine or back urine, since human urine is discharged in the order of front urine, the front urine is generally the first 10 to 20 ml, with a speed of about 10 to 20 ml per second, the mid-stream urine is generally the middle 30 to 40 ml, with a speed of about 5 to 10 ml per second, and the back urine is generally the final 5 to 10 ml, with a speed of about 2 to 5 ml per second. According to this rule, an additional sampling mechanism is set in the urine tester, according to the formula T=L / R (where L is the volume of each urine discharge, R is the speed of each urine discharge, and T is the duration of urination), by averaging the urination time The sampling time of each urine segment is calculated by the mean, and the sampling time of the first urine segment is T1=L1 / 2R1 (where L1 is the volume of the first urine segment, R1 is the speed of the first urine segment, and T1 is the sampling time of the first urine segment); the sampling time of the middle urine segment is T2=L1 / R1+L2 / 2R2 (where L2 is the volume of the middle urine segment, R2 is the speed of the middle urine segment, and T2 is the sampling time of the middle urine segment); the sampling time of the last urine segment is T3=L1 / R1+L2 / R2+L3 / 2R3 (where L3 is the volume of the last urine segment, R3 is the speed of the last urine segment, and T3 is the sampling time of the last urine segment). For example, when the sample to be sampled is the front urine, the preset front urine volume is 20 ml, and the speed is 10 ml per second. According to the formula for the sampling time of the front urine, T1=1s. Therefore, the urine tester starts timing when the urine is detected, and when the timing reaches 1s, the urine is sampled for the front urine; when the sample to be sampled is the midstream urine, the preset midstream urine volume is 30 ml, and the speed is 5 ml per second. According to the formula for the sampling time of the midstream urine, T2=5S. Therefore, the urine tester starts timing when the urine is detected, and when the timing reaches 5s, the urine is sampled for the midstream urine; when the sample to be sampled is the posterior urine, the preset midstream urine volume is 10 ml, and the speed is 5 ml per second. According to the formula for the sampling time of the posterior urine, T3=9S. Therefore, the urine tester starts timing when the urine is detected, and when the timing reaches 9s, the urine is sampled for the posterior urine.

[0055] When the urine tester uses the second sampling rule for sampling, by searching the patient's medical record information in the host computer, the patient's medical record information pre-stored in the host computer indicates that the patient has symptoms in more than two parts, such as problems with the urethra and bladder at the same time, then the patient's front urine, mid-stream urine and back urine are all sampled. Similarly, according to the relationship between the order of urination and urine volume, the front urine is generally the first 10 to 20 ml, with a speed of about 10 to 20 ml per second, the mid-stream urine is generally the middle 30 to 40 ml, with a speed of about 5 to 10 ml per second, and the back urine is generally the final 5 to 10 ml, with a speed of about 2 to 5 ml per second. According to this rule, an additional sampling mechanism is set in the urine tester, according to the formula T=L / R (Where L is the volume of each urine segment, R is the speed of each urine segment, and T is the duration of urination). The sampling time of each urine segment is calculated by taking the average value of the urination duration. The sampling time of the first urine segment is T1=L1 / 2R1 (Where L1 is the volume of the first urine segment, R1 is the speed of the first urine segment, and T1 is the sampling time of the first urine segment); the sampling time of the middle urine segment is T2=L1 / R1+L2 / 2R2 (Where L2 is the volume of the middle urine segment, R2 is the speed of the middle urine segment, and T2 is the sampling time of the middle urine segment); the sampling time of the last urine segment is T3=L1 / R1+L2 / R2+L3 / 2R3 (Where L3 is the volume of the last urine segment, R3 is the speed of the last urine segment, and T3 is the sampling time of the last urine segment). For example, the urine tester starts timing when urine is detected, and the preset front urine volume is 10 ml and the speed is 10 ml per second, the preset mid-stream urine volume is 40 ml and the speed is 10 ml per second, the preset back-stream urine volume is 5 ml and the speed is 2 ml per second. According to the sampling time formula for each urine segment, it can be concluded that when the timing reaches 0.5s, the urine is sampled for the front urine segment, when the timing reaches 3s, the urine is sampled for the middle urine segment, and when the timing reaches 6.25s, the urine is sampled for the back urine segment. Under the second sampling rule, the urine tester continuously samples urine at the timing of 0.5s, 3s and 6.25s to obtain samples of three urine segments.

[0056] Of course, there may also be a solution where the patient's medical record information pre-stored in the host computer indicates that the patient has symptoms in two parts of the body, that is, only two of the urine sections need to be sampled, such as only sampling the front and middle urine sections, the front and back urine sections, and the middle and back urine sections. The method and calculation formula are the same as before and will not be elaborated on here.

[0057] Preferably, the sampling rules also include:

[0058] Step S303: The third sampling rule is to sample the patient's posterior urine to obtain a third sample, and the third sample is used to compare with the anterior urine, mid-stream urine and posterior urine in the first sample or the second sample to obtain the accuracy of the sampling of the anterior urine, mid-stream urine and posterior urine in the first sample or the second sample.

[0059] It should be noted that the third sampling rule is an addition to the first and second sampling rules, and its function is to verify the results of each urine sampling by adding the third sampling rule. The third sampling rule is to take a small sample at the last stage of the patient's urination. The sampling is done on the last urine. After the sampling, the accuracy of the first sample or the first sample sampling is determined by comparing it with the first sample or the second sample, so as to decide whether to proceed to the next step of urine testing. The first step is to take samples to get the third sample. If the sampling rule used previously is the first sampling rule, that is, only the front or middle urine is sampled, and the back urine is not sampled, then the sampling of the back urine is added. According to the sampling time of the back urine, T3=L1 / R1+L2 / R2+L3 / 2R3 (where L3 is the volume of the back urine discharged, R3 is the speed of the back urine discharge, and T3 is the sampling time of the back urine), it can be concluded that under the first sampling rule, if the sample is the front or middle urine, then the back urine will continue to be sampled. The sampling of the back urine can be calculated according to the formula and the urine volume of each urine segment, and the sampling is carried out within the range of 4s to 12.5s, where 4s is the minimum urine volume of each urine segment. The third sampling rule is obtained by dividing the maximum urine volume by the maximum speed, and 12.5s is obtained by dividing the maximum urine volume of each section of urine by the minimum speed. Under the third sampling rule, the timing is started when urination is detected. When the timing reaches the range of 4s to 12.5s, urine can be sampled to obtain the third sample, and the third sample is preferably sampled at 8s. If the sampling rule adopted previously is the second sampling rule for urine sampling, that is to say, all three sections of urine are sampled, then the posterior urine can be directly used to compare and authenticate the anterior urine and middle urine, without the need to add an additional sampling of the posterior urine. This saves the volume of the internal structure of the urine tester and completes the urine test under the premise of being able to achieve verification.

[0060] Specifically, there are many methods for using the third sample to compare the first sample or the second sample. Combined with the structure of this solution, the optimal method is to use the original structure of this solution for comparison. One comparison method is to use near-infrared light in liquids of different concentrations. Under the same thickness of liquid, the transmittance is proportional to the concentration of the liquid. Then, by comparing the intensity of the transmitted light of the third sample and the intensity of the transmitted light of the first sample or the second sample, the relationship between the concentrations of the two can be inferred. In the urine tester, there is a photoelectric conversion circuit behind each sampling slide. The circuit can convert the light energy into an electrical signal output through the received transmitted light. The concentration relationship can be inferred by comparing the size of the electrical signal of each photoelectric conversion circuit. Normally, the concentration comparison of each section of urine is anterior urine> middle urine> posterior urine. A concentration comparison threshold can be set in the urine tester. When the difference in the electrical signal of the output third sample compared to the first sample or the second sample is less than the concentration comparison threshold, it can be determined that the sampling may be biased; when the difference in the electrical signal of the output third sample compared to the first sample or the second sample is greater than the concentration comparison threshold, it can be determined that the sampling is correct and the next step of urine testing can be carried out. Another comparison method is to use the microscope color camera corresponding to each sample to take pictures after the first sample or the second sample and the third sample are irradiated with monochromatic light, and upload the pictures to the host computer. The host computer compares the pictures of the first sample or the second sample with the third sample. Because the formed components of the front urine, middle urine and back urine are different, by comparing the pictures, it can be known whether the sampled front urine or middle urine is mixed with back urine. The above two comparison methods are combined with the existing structure of this scheme, which can maximize the use of the design in the urine tester without adding other designs or mechanisms, thereby saving the volume of the urine tester while realizing the comparison function and increasing the accuracy of sampling.

[0061] Specifically, based on the predicted urine output, the sampling reminder information sent includes:

[0062] Step S201: When the predicted urine output is greater than or equal to the first threshold, a sampling reminder message is sent; when the predicted urine output is less than the first threshold, the first detection signal is continued to be received, and the predicted urine output is calculated by the bladder pressure value.

[0063] It should be noted that when the patient's urine output is small, it is not enough to meet the requirements of urine sampling for urine testing, especially when sampling is required according to the second sampling rule, the urine volume must be at least 45 ml to meet the sampling requirements. It can be seen that the first threshold is the minimum urine volume standard required to meet the requirements of the first sampling rule and the second sampling rule. The preferred first threshold can be set to 45 ml. When the predicted urine output is greater than or equal to the first threshold, it can be judged that the patient's urine output at this time can meet the sampling requirements and sampling can be carried out; when the predicted urine output is less than the first threshold, it can be judged that the patient's urine output at this time cannot meet the sampling requirements and sampling cannot be carried out. At this time, the patient's urine is directly stored in the waste liquid collector, and returns to step S1 to continue to receive the first detection signal, and calculate the predicted urine output by continuously detecting the bladder pressure value.

[0064] Specifically, it also includes:

[0065] Step S301: when the predicted urine output is greater than or equal to a first threshold, sampling the patient's front-end urine, mid-end urine, or back-end urine to obtain a first sample;

[0066] Step S302: when the predicted urine output is greater than or equal to the first threshold value and greater than the second threshold value, sampling the patient's front-end urine, mid-end urine and back-end urine to obtain a second sample;

[0067] Step S304: The third sampling rule includes: when the rate of change of the bladder pressure value is greater than a third threshold value, sampling the patient's urine to obtain a third sample.

[0068] It should be noted that the urine volume requirement for sampling using the first sampling rule is lower than that for sampling using the second sampling rule. For some patients with smaller urine volumes, perhaps only the first threshold requirement can be met. In this case, it is feasible to sample only one section of urine, but if each section of urine needs to be sampled, the last sample, especially the latter section of urine, may not be sampled enough. In view of this, an additional mechanism is added to the sampling rule, and a second threshold is added. The preferred second threshold can be set to 57 ml. If sampling according to the second sampling rule is to be performed, when the predicted urine volume reaches the first threshold, the predicted urine volume must also reach the second threshold to meet the second sampling rule's requirement for sampling each section of urine. In addition, in order to allow the third sampling rule to sample the posterior urine more accurately and better cooperate with the previous third sampling rule, since the bladder pressure value is the largest before the human body starts to urinate, as the patient slowly urinates, the bladder pressure value gradually decreases, and the later it is, the closer it is to the sampling of the posterior urine. Therefore, the calculation of the change rate of the bladder pressure value is added, and the change rate = second bladder pressure value / first bladder pressure value, wherein the first bladder pressure value is the bladder pressure value corresponding to the first threshold, and the second bladder pressure value is the bladder pressure value detected during urination. When the calculated change is greater than the third threshold, it can be additionally judged that the third sample sampled at this time is a posterior urine sample, and the third threshold is calculated to be between 1 / 7 and 1 / 9 through the relationship between the minimum and maximum urine volume of the human body and the posterior urine. Therefore, it is preferred to set the third threshold between 1 / 7 and 1 / 9.

[0069] Specifically, it also includes:

[0070] Step S4011: the monochromatic light is near-infrared light, the second detection signal includes albumin information, glucose information and occult blood information, the host computer pre-stores model information of albumin information, glucose information and hemoglobin information, compares the second detection signal with the pre-stored model information, obtains the first urine test result of the first sample and displays it.

[0071] It should be noted that according to the Lambert-Beer law, when the liquid thickness is constant, the transmittance of the liquid is proportional to the concentration of the liquid, and the expression is N=lg(1 / T)=Pdl, where N is the absorbance, T is the ratio of the transmitted light intensity to the incident light intensity, and P is the absorption coefficient. The absorption coefficient characterizes the absorbance of the substance at unit concentration and unit optical path length, that is, the magnitude of the substance's light absorption ability, d is the concentration of the absorbing substance, and l is the thickness of the liquid layer. Through this formula, the liquid concentration at a certain liquid thickness can be calculated; in addition, the absorbance N is additive, that is, in a liquid containing more than two substances, the total absorbance at a certain wavelength position is equal to the sum of the absorbances of each component at that wavelength, so the sum of the absorbances of multiple substances is: .

[0072] The basic information of urine test generally includes albumin, glucose and occult blood information. This step belongs to the initial test step, so only the more important and basic items are screened for testing. The thickness of the first sample slide, the second sample slide and the third sample slide are all 1mm. When the infrared light passes through the urine test slide, the photoelectric conversion circuit of each sample slide will receive the light intensity passing through the sample slide. T is calculated by the ratio of the transmitted light intensity to the incident light intensity. The value of N can be obtained by substituting it into the expression N=lg(1 / T). The thickness is known to be 1mm, and the concentration d of albumin, glucose and occult blood at this time can be calculated by the formula N=Pdl.

[0073] Specifically, it also includes:

[0074] Step S4012: Monochromatic light uses three different wavelengths of near-infrared light to irradiate the first sample or the second sample in turn. When the monochromatic light uses near-infrared light with a wavelength of 1040nm, the second detection signal is glucose information; when the monochromatic light uses near-infrared light with a wavelength of 1550nm, the second detection signal is albumin information; when the monochromatic light uses near-infrared light with a wavelength of 610nm, the second detection signal is hemoglobin information.

[0075] It should be noted that the LED lights corresponding to the front urine sampling slide, the middle urine sampling slide and the back urine sampling slide are controlled by the processor of the urine test instrument to emit near-infrared light of the required wavelength. The previous step is an approximate concentration calculation. If you want to accurately calculate the concentration of various substances, you need to choose according to the best absorption spectra of different substances for near-infrared light of different wavelengths. Experiments have shown that different substances have obvious differences in the absorption spectra of near-infrared light of different wavelengths. Glucose has the highest infrared light absorption rate between 1150nm and 857nm, of which there are 5 absorption peaks in this wavelength range, namely 990nm, 1040nm, 1080nm, 1115nm, and 1150nm; albumin has the highest infrared light absorption rate between 1150nm and 1650nm, of which there are 3 absorption peaks in this wavelength range, namely 1400nm, 1550nm, and 1650nm; and occult blood has the highest infrared light absorption rate between 400nm and 850nm, of which there are 4 absorption peaks in this wavelength range, namely 400nm, 450nm, 610nm, and 800nm. Furthermore, in order to distinguish different substance concentration information by using near-infrared light of different wavelengths, this solution selects the peak value of each substance's near-infrared light absorption rate of different wavelengths based on the laboratory verification results, and selects the one with the largest difference in the peak value corresponding to each substance. This can ensure that the ratio T of the transmitted light intensity to the incident light intensity is significantly different, and can also ensure that the detection of different substances by near-infrared light of different wavelengths reduces the error of mutual interference to the minimum, thereby ensuring the accuracy of the basic information detection results. In addition, in addition to the detection of the above-mentioned glucose, albumin and hemoglobin, near-infrared technology can also detect uric acid, creatinine, urea, ketone bodies, and bilirubin. When these indicators need to be detected, near-infrared in the wavelength range of 700-2500nm can be selected for detection, especially the two ranges of 900-1450 and 1650-2250nm.

[0076] Specifically, it also includes:

[0077] Step S402: Image information is acquired by a microscope camera, which is located on a camera platform. The camera platform is connected to a host computer, which sends a platform movement and shooting instruction every N seconds. The platform movement and shooting instruction is used to move the camera platform and control the microscope camera to shoot.

[0078] It should be noted that this step is a supplement to the above two steps. The above two steps are mainly to detect the invisible substances in urine to understand the basic condition of urine. There are many tangible substances in urine, such as red blood cells, white blood cells, epithelial cells, crystals, casts, bacteria and fungi. These tangible substances are the general name of various morphological substances that are some visible components of the urethra and are discharged with urine. By detecting tangible substances, we can understand the diagnosis of diseases that may occur in different parts, and can more intuitively judge the problems in the patient's urine. For example, by judging the diameter of red blood cells, we can judge that the risk of inflammation, tumors, etc. is high; by judging the number of white blood cells in the average unit, we can judge the risk level of inflammation in the body; by judging the shape of epithelial cells, we can distinguish the types of epithelial cells; by the morphology of crystals, we can judge the possibility of stone diseases, etc. In the prior art, the detection of tangible substances is generally completed by manual microscopy, that is, after the patient provides a urine sample, it is sent to the laboratory for examination by the doctor of the laboratory department to use a microscope to examine the urine sample slide. The present embodiment directly collects relevant microscopic images of the sample slide in the urine tester, and sends these image information as the third detection signal to the host computer. The host computer then processes and compares the images, obtains the detection results and sends them back to the urine tester for display. The front urine sampling slide, the middle urine sampling slide and the back urine sampling slide are each equipped with a microscope camera, which is installed on the camera platform. The host computer is responsible for controlling the displacement data of the camera platform and controls the platform to send shooting instructions at regular intervals, so as to take more than three images of each urine sampling slide. Since in the previous step, the sample slide of each urine section is irradiated with near-infrared light, there is no need to equip the slide with an additional light source to irradiate the slide, but direct shooting is sufficient. The difficulty of the upper computer in analyzing the picture lies in the extraction and stitching of the feature points of the image. Specifically, in this solution, the upper computer classifies the input image information, and classifies the images that meet the clarity threshold requirements and have a suitable white space ratio as clear images. Such images have high quality and rich texture information. Then, feature point extraction based on the SURF algorithm is performed on these images. The SURF algorithm uses image feature points to match feature points of high-quality images, and uses Fourier transform to the frequency domain for images with much white space information that is not convenient for feature point detection, and uses the phase correlation method to calculate the offset value of the image pixel. In this way, the coordinate information of the imaging system, the pixel coordinate information and image matching are combined to solve the problem of image registration. The SURF algorithm is a well-known and commonly used algorithm and will not be described in detail here.After extracting feature points from these images based on the SURF algorithm, the RANSAC algorithm is used to screen matching point pairs, and then the FFT is used for transformation and then the phase correlation method is used for registration. In this way, after the coordinates of the first image are known, the coordinate information of other images can be obtained. Then all the images are merged in the large coordinate system, and the least squares method is used to calibrate the cumulative registration error. Finally, triangular weighted smooth fusion is used to eliminate the gaps in the splicing, so as to obtain a large-field slide image. The host computer can use the large-field image corresponding to the slide of each urine segment to compare the images of normal urine formed elements preset in the machine, namely red blood cells, white blood cells, epithelial cells, crystals, casts, bacteria and fungi, so as to determine the detection results of the formed elements in the urine slide and feed them back to the urine test instrument for display.

[0079] Through the above-mentioned intelligent urine test method, the urine tester is worn on the patient using a wearable design, the urination and urine collection rules are judged through sensing technology and algorithms, the basic situation of urine is preliminarily detected using near-infrared technology and the formed components of urine are secondary detected using image processing technology, and combined with the comparative analysis of the host computer, the results of the patient's urine test are obtained and displayed on the wearable device, thereby facilitating urine tests for non-hospitalized patients such as home care or nursing homes, improving the convenience of urine tests for non-hospitalized patients, optimizing medical testing resources, and at the same time greatly improving the early identification of patients with abnormal urinary tract indicators, and being able to dynamically track and serve as a reference for Internet diagnosis and treatment.

[0080] Embodiment 2

[0081] This embodiment also provides a wearable intelligent urine testing device, including:

[0082] A urine volume detection unit, used for a first detection signal, the first detection signal is a bladder pressure value of the patient, the bladder pressure value is obtained by a pressure sensor in the wearable urine test device, and a predicted urine volume is calculated according to the bladder pressure value;

[0083] A reminder unit, used to send a sampling reminder message based on the predicted urine output;

[0084] A urine sampling unit, for responding to the sampling reminder information, sampling the patient's urine according to a sampling rule, wherein the sampling rule includes a first sampling rule or a second sampling rule, wherein the first sampling rule is to sample the patient's front urine, mid-stream urine or back-stream urine to obtain a first sample, and the second sampling rule is to sample the patient's front urine, mid-stream urine and back-stream urine to obtain a second sample;

[0085] The urine detection unit is used to irradiate the first sample or the second sample with monochromatic light, convert the light signal obtained after the monochromatic light irradiation into an electrical signal through a photoelectric signal conversion circuit to obtain a second detection signal, and obtain image information after the monochromatic light irradiation as a third detection signal;

[0086] The result display unit is used to send the second detection signal and the third detection signal, compare the second detection signal and the third detection signal with the urine test database, obtain the patient's urine test result and display it.

[0087] It should be noted that for the urine volume detection unit, there is a pressure sensor on the wearable urine tester. After the pressure sensor is worn on the patient, it is located near the patient's bladder. As the amount of urine in the patient's bladder increases, the pressure sensor also detects the increase in pressure through the position in contact with the bladder. The register of the urine tester stores the comparison model parameters of the pressure value and the urine volume. The processor of the urine tester reads the data stored in the register and compares the pressure sensor value at this time to calculate the predicted urine volume. For the reminder unit, according to the urine volume predicted by the urine volume detection unit, the processor sends a reminder message to the host computer or the urine tester whether to take a sample.

[0088] For the urine testing unit, there are two sampling rules. Due to the diagnosis of diseases for different patients, urine information at different stages indicates the pathological conditions of different parts, and the clinical guidance significance is different. Usually, the front urine reflects the condition of the urethra, the middle urine reflects the condition of the kidneys, and the back urine reflects the condition of the bladder. If the front urine is abnormal, it may indicate that the patient has urethritis. If the middle urine is abnormal, it may indicate that the patient has chronic cystitis. If the back urine is abnormal, it may indicate that the patient has prostatitis, seminal vesiculitis, etc., and if all three urine sections are abnormal, it may indicate that the patient has glomerulitis, pyelonephritis, kidney tumors, etc. Therefore, according to different situations, urine of different time periods needs to be taken to briefly and accurately judge the patient's pathological condition. In this step, when the urine tester uses the first sampling rule for sampling, it can search the patient's medical record information recorded in the host computer, and sample the urine of a certain part of the patient's body in a targeted manner according to the lesions in the part of the patient's body. The corresponding time period is used as the first sample. For example, if the patient's medical record information is pre-stored in the host computer and indicates that the patient has symptoms of cystitis, the urine tester samples the patient's mid-stream urine; if the patient's medical record information is pre-stored in the host computer and indicates that the patient has symptoms of urethritis, the urine tester samples the patient's front-end urine; if the patient's medical record information is pre-stored in the host computer and indicates that the patient has symptoms of prostatitis, the urine tester samples the patient's back-end urine. If the sample is the front urine, the sampled urine is stored in the front urine collector. If the sample is the middle urine, the sampled urine is stored in the middle urine collector. If the sample is the back urine, the sampled urine is stored in the back urine collector. After sampling, the remaining urine is stored in the waste liquid collector.

[0089] As for how to accurately obtain the front urine, mid-stream urine or back urine, since human urine is discharged in the order of front urine, the front urine is generally the first 10 to 20 ml, with a speed of about 10 to 20 ml per second, the mid-stream urine is generally the middle 30 to 40 ml, with a speed of about 5 to 10 ml per second, and the back urine is generally the final 5 to 10 ml, with a speed of about 2 to 5 ml per second. According to this rule, an additional sampling mechanism is set in the urine tester, according to the formula T=L / R (where L is the volume of each urine discharge, R is the speed of each urine discharge, and T is the duration of urination), by averaging the urination time The sampling time of each urine segment is calculated by the mean, and the sampling time of the first urine segment is T1=L1 / 2R1 (where L1 is the volume of the first urine segment, R1 is the speed of the first urine segment, and T1 is the sampling time of the first urine segment); the sampling time of the middle urine segment is T2=L1 / R1+L2 / 2R2 (where L2 is the volume of the middle urine segment, R2 is the speed of the middle urine segment, and T2 is the sampling time of the middle urine segment); the sampling time of the last urine segment is T3=L1 / R1+L2 / R2+L3 / 2R3 (where L3 is the volume of the last urine segment, R3 is the speed of the last urine segment, and T3 is the sampling time of the last urine segment). For example, when the sample to be sampled is the front urine, the preset front urine volume is 20 ml, and the speed is 10 ml per second. According to the formula for the sampling time of the front urine, T1=1s. Therefore, the urine tester starts timing when the urine is detected, and when the timing reaches 1s, the urine is sampled for the front urine; when the sample to be sampled is the midstream urine, the preset midstream urine volume is 30 ml, and the speed is 5 ml per second. According to the formula for the sampling time of the midstream urine, T2=5S. Therefore, the urine tester starts timing when the urine is detected, and when the timing reaches 5s, the urine is sampled for the midstream urine; when the sample to be sampled is the posterior urine, the preset midstream urine volume is 10 ml, and the speed is 5 ml per second. According to the formula for the sampling time of the posterior urine, T3=9S. Therefore, the urine tester starts timing when the urine is detected, and when the timing reaches 9s, the urine is sampled for the posterior urine.

[0090] When the urine tester uses the second sampling rule for sampling, by searching the patient's medical record information in the host computer, the patient's medical record information pre-stored in the host computer indicates that the patient has symptoms in more than two parts, such as problems with the urethra and bladder at the same time, then the patient's front urine, mid-stream urine and back urine are all sampled. Similarly, according to the relationship between the order of urination and urine volume, the front urine is generally the first 10 to 20 ml, with a speed of about 10 to 20 ml per second, the mid-stream urine is generally the middle 30 to 40 ml, with a speed of about 5 to 10 ml per second, and the back urine is generally the final 5 to 10 ml, with a speed of about 2 to 5 ml per second. According to this rule, an additional sampling mechanism is set in the urine tester, according to the formula T=L / R (Where L is the volume of each urine segment, R is the speed of each urine segment, and T is the duration of urination). The sampling time of each urine segment is calculated by taking the average value of the urination duration. The sampling time of the first urine segment is T1=L1 / 2R1 (Where L1 is the volume of the first urine segment, R1 is the speed of the first urine segment, and T1 is the sampling time of the first urine segment); the sampling time of the middle urine segment is T2=L1 / R1+L2 / 2R2 (Where L2 is the volume of the middle urine segment, R2 is the speed of the middle urine segment, and T2 is the sampling time of the middle urine segment); the sampling time of the last urine segment is T3=L1 / R1+L2 / R2+L3 / 2R3 (Where L3 is the volume of the last urine segment, R3 is the speed of the last urine segment, and T3 is the sampling time of the last urine segment). For example, the urine tester starts timing when urine is detected, and the preset front urine volume is 10 ml and the speed is 10 ml per second, the preset mid-stream urine volume is 40 ml and the speed is 10 ml per second, the preset back-stream urine volume is 5 ml and the speed is 2 ml per second. According to the sampling time formula for each urine segment, it can be concluded that when the timing reaches 0.5s, the urine is sampled for the front urine segment, when the timing reaches 3s, the urine is sampled for the middle urine segment, and when the timing reaches 6.25s, the urine is sampled for the back urine segment. Under the second sampling rule, the urine tester continuously samples urine at the timing of 0.5s, 3s and 6.25s to obtain samples of three urine segments.

[0091] Of course, there may also be a solution where the patient's medical record information pre-stored in the host computer indicates that the patient has symptoms in two parts of the body, that is, only two of the urine sections need to be sampled, such as only sampling the front and middle urine sections, the front and back urine sections, and the middle and back urine sections. The method and calculation formula are the same as before and will not be elaborated on here.

[0092] Preferably, the urine sampling unit further comprises:

[0093] The third sampling module is used to sample the patient's posterior urine using a third sampling rule to obtain a third sample. The third sample is used to compare with the anterior urine, mid-stream urine and posterior urine in the first sample or the second sample to obtain the accuracy of the sampling of the anterior urine, mid-stream urine and posterior urine in the first sample or the second sample.

[0094] It should be noted that the third sampling rule is an addition to the first and second sampling rules, and its function is to verify the results of each urine sampling by adding the third sampling rule. The third sampling rule is to take a small sample at the last stage of the patient's urination. The sampling is done on the last urine. After the sampling, the accuracy of the first sample or the first sample sampling is determined by comparing it with the first sample or the second sample, so as to decide whether to proceed to the next step of urine testing. The first step is to take samples to get the third sample. If the sampling rule used previously is the first sampling rule, that is, only the front or middle urine is sampled, and the back urine is not sampled, then the sampling of the back urine is added. According to the sampling time of the back urine, T3=L1 / R1+L2 / R2+L3 / 2R3 (where L3 is the volume of the back urine discharged, R3 is the speed of the back urine discharge, and T3 is the sampling time of the back urine), it can be concluded that under the first sampling rule, if the sample is the front or middle urine, then the back urine will continue to be sampled. The sampling of the back urine can be calculated according to the formula and the urine volume of each urine segment, and the sampling is carried out within the range of 4s to 12.5s, where 4s is the minimum urine volume of each urine segment. The third sampling rule is obtained by dividing the maximum urine volume by the maximum speed, and 12.5s is obtained by dividing the maximum urine volume of each section of urine by the minimum speed. Under the third sampling rule, the timing is started when urination is detected. When the timing reaches the range of 4s to 12.5s, urine can be sampled to obtain the third sample, and the third sample is preferably sampled at 8s. If the sampling rule adopted previously is the second sampling rule for urine sampling, that is to say, all three sections of urine are sampled, then the posterior urine can be directly used to compare and authenticate the anterior urine and middle urine, without the need to add an additional sampling of the posterior urine. This saves the volume of the internal structure of the urine tester and completes the urine test under the premise of being able to achieve verification.

[0095] There are many methods for using the third sample to compare the first sample or the second sample. Combined with the structure of this scheme, the best optimization is to use the original structure of this scheme for comparison. One comparison method is to use near-infrared light in liquids of different concentrations. Under the same thickness of liquid, the transmittance is proportional to the concentration of the liquid. Then, by comparing the intensity of the transmitted light of the third sample and the intensity of the transmitted light of the first sample or the second sample, the relationship between the concentrations of the two can be inferred. In the urine tester, there is a photoelectric conversion circuit behind each sampling slide. The circuit can convert the light energy into an electrical signal output through the received transmitted light. The concentration relationship can be inferred by comparing the size of the electrical signal of each photoelectric conversion circuit. Normally, the concentration comparison of each section of urine is anterior urine> middle urine> posterior urine. A concentration comparison threshold can be set in the urine tester. When the difference in the electrical signal of the output third sample compared to the first sample or the second sample is less than the concentration comparison threshold, it can be determined that the sampling may be biased; when the difference in the electrical signal of the output third sample compared to the first sample or the second sample is greater than the concentration comparison threshold, it can be determined that the sampling is correct and the next step of urine testing can be carried out. Another comparison method is to use the microscope color camera corresponding to each sample to take pictures after the first sample or the second sample and the third sample are irradiated with monochromatic light, and upload the pictures to the host computer. The host computer compares the pictures of the first sample or the second sample with the third sample. Because the formed components of the front urine, middle urine and back urine are different, by comparing the pictures, it can be known whether the sampled front urine or middle urine is mixed with back urine. The above two comparison methods are combined with the existing structure of this scheme, which can maximize the use of the design in the urine tester without adding other designs or mechanisms, thereby saving the volume of the urine tester while realizing the comparison function and increasing the accuracy of sampling.

[0096] Specifically, the reminder unit also includes:

[0097] The first threshold judgment module is used to send a sampling reminder message when the predicted urine volume is greater than or equal to the first threshold; when the predicted urine volume is less than the first threshold, continue to receive the first detection signal and calculate the predicted urine volume through the bladder pressure value.

[0098] It should be noted that when the patient's urine output is small, it is not enough to meet the requirements for urine sampling for urine testing, especially when sampling is required according to the second sampling rule, the urine volume must be at least 45 ml to meet the sampling requirements. It can be seen that the first threshold is the minimum urine volume standard required to meet the requirements of the first sampling rule and the second sampling rule. The preferred first threshold can be set to 45 ml. When the predicted urine output is greater than or equal to the first threshold, it can be judged that the patient's urine output at this time can meet the sampling requirements and sampling can be carried out; when the predicted urine output is less than the first threshold, it can be judged that the patient's urine output at this time cannot meet the sampling requirements and sampling cannot be carried out. At this time, the patient's urine is directly stored in the waste liquid collector, and returned to the urine volume detection unit to continue to receive the first detection signal, and the predicted urine output is calculated by continuously detecting the bladder pressure value.

[0099] Specifically, when the predicted urine output is greater than or equal to a first threshold, sampling the patient's front-end urine, mid-end urine, or back-end urine to obtain a first sample;

[0100] The urine sampling unit also includes a second threshold judgment module and a third threshold judgment module. The second threshold judgment module is used to sample the patient's front urine, mid-stream urine and back-stream urine to obtain a second sample when the predicted urine output is greater than or equal to the first threshold and greater than the second threshold.

[0101] The third threshold judgment module is used to sample the patient's urine to obtain a third sample when the change rate of the bladder pressure value is greater than a third threshold.

[0102] It should be noted that the urine volume requirement for sampling using the first sampling rule is lower than that for sampling using the second sampling rule. For some patients with smaller urine volumes, perhaps only the first threshold requirement can be met. In this case, it is feasible to sample only one section of urine, but if each section of urine needs to be sampled, the last sample, especially the latter section of urine, may not be sampled enough. In view of this, an additional mechanism is added to the sampling rule, and a second threshold is added. The preferred second threshold can be set to 57 ml. If sampling according to the second sampling rule is to be performed, when the predicted urine volume reaches the first threshold, the predicted urine volume must also reach the second threshold to meet the second sampling rule's requirement for sampling each section of urine. In addition, in order to allow the third sampling rule to sample the posterior urine more accurately and better cooperate with the previous third sampling rule, since the bladder pressure value is the largest before the human body starts to urinate, as the patient slowly urinates, the bladder pressure value gradually decreases, and the later it is, the closer it is to the sampling of the posterior urine. Therefore, the calculation of the change rate of the bladder pressure value is added, and the change rate = second bladder pressure value / first bladder pressure value, wherein the first bladder pressure value is the bladder pressure value corresponding to the first threshold, and the second bladder pressure value is the bladder pressure value detected during urination. When the calculated change is greater than the third threshold, it can be additionally judged that the third sample sampled at this time is a posterior urine sample, and the third threshold is calculated to be between 1 / 7 and 1 / 9 through the relationship between the minimum and maximum urine volume of the human body and the posterior urine. Therefore, it is preferred to set the third threshold between 1 / 7 and 1 / 9.

[0103] Specifically, the urine detection unit includes an optical judgment module for emitting monochromatic light and making judgments. The monochromatic light is near-infrared light. The second detection signal includes albumin information, glucose information and occult blood information. The host computer pre-stores model information of albumin information, glucose information and hemoglobin information. The second detection signal is compared with the pre-stored model information to obtain and display the first urine test result of the first sample.

[0104] It should be noted that according to the Lambert-Beer law, when the liquid thickness is constant, the transmittance of the liquid is proportional to the concentration of the liquid, and the expression is N=lg(1 / T)=Pdl, where N is the absorbance, T is the ratio of the transmitted light intensity to the incident light intensity, P is the absorption coefficient, and the absorption coefficient characterizes the absorbance of the substance at unit concentration and unit optical path length, that is, the magnitude of the substance's light absorption ability, d is the concentration of the absorbing substance, and l is the thickness of the liquid layer. Through this formula, the liquid concentration at a certain liquid thickness can be calculated; in addition, the absorbance N is additive, that is, in a liquid containing more than two substances, the total absorbance at a certain wavelength position is equal to the sum of the absorbances of each component at that wavelength, so the sum of the absorbances of multiple substances is: .

[0105] The basic information of urine test generally includes albumin, glucose and occult blood information. This step belongs to the initial test step, so only the more important and basic items are screened for testing. The thickness of the first sample slide, the second sample slide and the third sample slide are all 1mm. When the infrared light passes through the urine test slide, the photoelectric conversion circuit of each sample slide will receive the light intensity passing through the sample slide. T is calculated by the ratio of the transmitted light intensity to the incident light intensity. The value of N can be obtained by substituting it into the expression N=lg(1 / T). The thickness is known to be 1mm, and the concentration d of albumin, glucose and occult blood at this time can be calculated by the formula N=Pdl.

[0106] Specifically, the urine detection unit includes a wavelength adjustment module, which is used to adjust the monochromatic light emitted by the LED into three different wavelengths of near-infrared light, and irradiate the first sample or the second sample in turn. When the monochromatic light uses near-infrared light with a wavelength of 1040nm, the second detection signal is glucose information; when the monochromatic light uses near-infrared light with a wavelength of 1550nm, the second detection signal is albumin information; when the monochromatic light uses near-infrared light with a wavelength of 610nm, the second detection signal is hemoglobin information.

[0107] It should be noted that the LED lights corresponding to the front urine sampling slide, the middle urine sampling slide and the back urine sampling slide are controlled by the processor of the urine test instrument to emit near-infrared light of the required wavelength. The previous step is an approximate concentration calculation. If you want to accurately calculate the concentration of various substances, you need to choose according to the best absorption spectra of different substances for near-infrared light of different wavelengths. Experiments have shown that different substances have obvious differences in the absorption spectra of near-infrared light of different wavelengths. Glucose has the highest infrared light absorption rate between 1150nm and 857nm, of which there are 5 absorption peaks in this wavelength range, namely 990nm, 1040nm, 1080nm, 1115nm, and 1150nm; albumin has the highest infrared light absorption rate between 1150nm and 1650nm, of which there are 3 absorption peaks in this wavelength range, namely 1400nm, 1550nm, and 1650nm; and occult blood has the highest infrared light absorption rate between 400nm and 850nm, of which there are 4 absorption peaks in this wavelength range, namely 400nm, 450nm, 610nm, and 800nm. Furthermore, in order to use near-infrared light of different wavelengths to distinguish different material concentration information, this solution selects the peak value of each substance's near-infrared light absorption rate of different wavelengths based on the laboratory verification results, and selects the one with the largest difference in the peak value corresponding to each substance. This can ensure that the ratio T of the transmitted light intensity to the incident light intensity is significantly different, and can also ensure that the detection of different substances by near-infrared light of different wavelengths reduces the error of mutual interference to the minimum, thereby ensuring the accuracy of the basic information detection results. In addition, near-infrared technology can also detect uric acid, creatinine, urea, ketone bodies, and bilirubin. When these indicators need to be detected, near-infrared with a wavelength range of 700-2500nm can be selected for detection, especially the two ranges of 900-1450 and 1650-2250nm.

[0108] Specifically, the urine detection unit also includes an image acquisition module for acquiring image information of each section of the urine slide. The image information is acquired by a microscope camera. The microscope camera is located on a camera platform. The camera platform is connected to a host computer. The host computer sends a platform movement and shooting instruction every N seconds. The platform movement and shooting instruction is used to move the camera platform and control the microscope camera to shoot.

[0109] It should be noted that the image acquisition module is a supplement to the optical judgment module and the wavelength adjustment module. The upper module is mainly used to detect the invisible substances in urine to understand the basic condition of urine. There are many tangible substances in urine, such as red blood cells, white blood cells, epithelial cells, crystals, casts, bacteria and fungi. These tangible substances are some visible components of the urethra. They are the general name of various forms of substances discharged by you when you stay up late. By detecting tangible substances, you can understand the diagnosis of diseases that may occur in different parts, and can more intuitively judge the problems in the patient's urine. For example, by judging the diameter of red blood cells, you can judge that the risk of inflammation and tumors is high; by judging the number of white blood cells in the average unit, you can judge the risk level of inflammation in the body; by judging the shape of epithelial cells, you can distinguish the types of epithelial cells; by judging the shape of crystals, you can judge the possibility of stone diseases, etc. In the prior art, the detection of tangible substances is generally completed by manual microscopy, that is, after the patient provides a urine sample, it is sent to the laboratory for examination by the doctor of the laboratory department to use a microscope to examine the urine sample slide. The present embodiment directly collects relevant microscopic images of the sample slide in the urine tester, and sends these image information as the third detection signal to the host computer. The host computer then processes and compares the images, obtains the detection results and sends them back to the urine tester for display. The front urine sampling slide, the middle urine sampling slide and the back urine sampling slide are each equipped with a microscope camera, which is installed on the camera platform. The host computer is responsible for controlling the displacement data of the camera platform and controls the platform to send shooting instructions at regular intervals, so as to take more than three images of each urine sampling slide. Since in the previous step, the sample slide of each urine section is irradiated with near-infrared light, there is no need to equip the slide with an additional light source to irradiate the slide, but direct shooting is sufficient. The difficulty of the upper computer in analyzing the picture lies in the extraction and stitching of the feature points of the image. Specifically, in this solution, the upper computer classifies the input image information, and classifies the images that meet the clarity threshold requirements and have a suitable white space ratio as clear images. Such images have high quality and rich texture information. Then, feature point extraction based on the SURF algorithm is performed on these images. The SURF algorithm uses image feature points to match feature points of high-quality images, and uses Fourier transform to the frequency domain for images with much white space information that is not convenient for feature point detection, and uses the phase correlation method to calculate the offset value of the image pixel. In this way, the coordinate information of the imaging system, the pixel coordinate information and image matching are combined to solve the problem of image registration. The SURF algorithm is a well-known and commonly used algorithm and will not be described in detail here.After extracting feature points from these images based on the SURF algorithm, the RANSAC algorithm is used to screen matching point pairs, and then the FFT is used for transformation and then the phase correlation method is used for registration. In this way, after the coordinates of the first image are known, the coordinate information of other images can be obtained. Then all the images are merged in the large coordinate system, and the least squares method is used to calibrate the cumulative registration error. Finally, triangular weighted smooth fusion is used to eliminate the gaps in the splicing, so as to obtain a large-field slide image. The host computer can use the large-field image corresponding to the slide of each urine segment to compare the images of normal urine formed elements preset in the machine, namely red blood cells, white blood cells, epithelial cells, crystals, casts, bacteria and fungi, so as to determine the detection results of the formed elements in the urine slide and feed them back to the urine test instrument for display.

[0110] Through the above-mentioned wearable intelligent urine test device, the urine tester is worn on the patient using a wearable design, and the urination and urine collection rules are judged through sensing technology and algorithms. The basic situation of urine is preliminarily detected using near-infrared technology and the formed components of urine are secondary detected using image processing technology. Combined with the comparative analysis of the host computer, the results of the patient's urine test are obtained and displayed on the wearable device, thereby facilitating urine tests for non-hospital patients such as those in home care or nursing homes, improving the hospital's urine test efficiency and optimizing medical testing resources.

[0111] Embodiment 3

[0112] The present embodiment provides a wearable intelligent urine test system, including: a wearable urine test instrument, a communication cable and a host computer. The wearable urine test instrument is used to implement the method of the first embodiment. The host computer is used to receive a second detection signal and a third detection signal sent by the wearable device through the communication cable. The second detection signal is a signal sent by the photoelectric conversion circuit after the wearable urine test instrument irradiates the urine test sample with near-infrared light. The third detection signal is an image signal after the wearable urine test instrument uses a microscope camera to photograph the urine test sample irradiated with near-infrared light. After receiving the second detection signal and the third detection signal, the host computer compares the urine test modeling information database in the host computer to obtain the urine test result and returns the urine test result to the wearable urine test instrument for display.

[0113] It can be seen from this embodiment that the wearable urine test instrument is mainly responsible for judging urination and urine collection rules through sensing technology and algorithms, and uses near-infrared technology to preliminarily detect the basic situation of urine and image processing technology to secondary detect the formed components of urine, while the host computer is mainly responsible for comparing and processing the photoelectric information and image information sent by the wearable urine test instrument to obtain the final result of the test, and return the result to the wearable urine test instrument for display. This wearable intelligent urine test system facilitates urine tests for non-hospitalized patients such as home care or nursing homes, improves the convenience of urine tests for non-hospitalized patients, optimizes medical testing resources, and greatly improves the early identification of patients with abnormal urinary tract indicators. It can be dynamically tracked and used as a reference for Internet diagnosis and treatment.

[0114] Embodiment 4

[0115] The present embodiment provides a wearable urine tester, comprising: a processor, a pressure sensor, a urine collector, a urine sampling glass slide, an LED light group, a photoelectric conversion circuit, a microscope camera and a camera platform, the processor is respectively connected to the pressure sensor, the urine collector, the LED light group and the camera platform, the urine collector comprises a front urine collector, a middle urine collector and a rear urine collector, and the urine sampling glass slide comprises a front urine sampling glass slide, a middle urine sampling glass slide and a rear urine sampling glass slide;

[0116] The pressure sensor is used to measure the pressure value of the patient's bladder, and the processor receives the bladder pressure value of the pressure sensor to calculate the predicted urine output;

[0117] The urine collector samples each section of urine according to the predicted urine output calculated by the processor and the sampling rules, and stores the samples in the corresponding urine sampling slides;

[0118] The LED light group includes three groups of LED lights, which are respectively arranged on the front urine sampling slide, the middle urine sampling slide and the back urine sampling slide. The processor controls the LED light group to emit near-infrared light of different wavelengths to irradiate the urine sampling slide. The photoelectric conversion circuit includes a photoelectric sensor, which is used to receive the near-infrared light that passes through the urine sampling slide and convert it into an electrical signal as a second detection signal.

[0119] A microscope camera is installed on the camera platform. The microscope camera includes three microscope cameras, which are used to respectively photograph the front urine sampling slide, the middle urine sampling slide and the back urine sampling slide after being irradiated by three groups of LED lights, and use the image information after the photographing as the third detection signal;

[0120] The processor sends the second detection signal and the third detection signal, receives the urine test result from the host computer, and displays it through the wearable urine test instrument.

[0121] It can be seen from the scheme of this embodiment that the wearable urine test instrument needs to be worn on the patient, so its portability and size need to be considered in the design. In implementing the scheme of embodiment 1, the number and size of components and parts in the instrument are reduced as much as possible, so as to achieve the purpose of the present invention. The specific function and working principle of each component have been explained in detail in embodiment 1, so this embodiment will not be repeated.

[0122] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A wearable intelligent urine testing method, characterized in that: include: receiving a first detection signal, wherein the first detection signal is a bladder pressure value of a patient, the bladder pressure value being obtained by a pressure sensor in a wearable urine testing device, and calculating a predicted urine output according to the bladder pressure value; Sending a sampling reminder message according to the predicted urine output; In response to the sampling reminder information, the patient's urine is sampled according to a sampling rule, the sampling rule includes a first sampling rule or a second sampling rule, the first sampling rule is to sample the patient's fore-stream urine, mid-stream urine or posterior-stream urine to obtain a first sample, the second sampling rule is to sample the patient's fore-stream urine, mid-stream urine and posterior-stream urine to obtain a second sample, when the urine tester uses the first sampling rule to sample, by searching the patient's medical record information in the host computer, according to the lesion site displayed in the medical record information, the urine of the site corresponding to the time period is sampled as the first sample, when the urine tester uses the second sampling rule to sample, by searching the patient's medical record information in the host computer, if the patient's medical record information pre-stored in the host computer indicates that the patient has lesions in more than two sites, the fore-stream urine, mid-stream urine and posterior-stream urine of the patient's more than two sites corresponding to the time period are sampled; Expose the first sample or the second sample with monochromatic light, convert the optical signal obtained after the monochromatic light exposure into an electrical signal through a photoelectric signal conversion circuit to obtain a second detection signal, and obtain image information after the monochromatic light exposure as a third detection signal; The second detection signal and the third detection signal are sent, and the urine test result of the patient is obtained and displayed by comparing the second detection signal and the third detection signal with a urine test database.

2. A wearable intelligent urine testing method as claimed in claim 1, characterized in that: The sampling rules also include: The third sampling rule is to sample the patient's posterior urine to obtain a third sample, and the third sample is used to compare with the front urine, mid-stream urine and posterior urine in the first sample or the second sample to obtain the accuracy of the sampling of the front urine, mid-stream urine and posterior urine in the first sample or the second sample.

3. A wearable intelligent urine testing method as claimed in claim 2, characterized in that: The sending of sampling reminder information according to the predicted urine output includes: When the predicted urine output is greater than or equal to the first threshold, a sampling reminder message is sent; when the predicted urine output is less than the first threshold, the first detection signal continues to be received, and the predicted urine output is calculated using the bladder pressure value.

4. A wearable intelligent urine testing method as claimed in claim 3, characterized in that: The first sampling rule includes: when the predicted urine output is greater than or equal to a first threshold, sampling the patient's front urine, mid-stream urine or back-stream urine to obtain a first sample; the second sampling rule includes: when the predicted urine output is greater than or equal to a first threshold and greater than a second threshold, sampling the patient's front urine, mid-stream urine and back-stream urine to obtain a second sample; the third sampling rule includes: when the rate of change of the bladder pressure value is greater than a third threshold, sampling the patient's urine to obtain a third sample.

5. A wearable intelligent urine testing method as claimed in claim 1, characterized in that: include: The monochromatic light is near-infrared light, and the second detection signal includes albumin information, glucose information and occult blood information. The host computer pre-stores model information of the albumin information, glucose information and hemoglobin information. The second detection signal is compared with the pre-stored model information to obtain and display the first urine test result of the first sample.

6. A wearable intelligent urine testing method as claimed in claim 5, characterized in that: include: The monochromatic light uses three different wavelengths of near-infrared light to irradiate the first sample or the second sample in sequence. When the monochromatic light uses near-infrared light with a wavelength of 1040nm, the second detection signal is glucose information; when the monochromatic light uses near-infrared light with a wavelength of 1550nm, the second detection signal is albumin information; when the monochromatic light uses near-infrared light with a wavelength of 610nm, the second detection signal is hemoglobin information.

7. A wearable intelligent urine testing method as claimed in claim 1, characterized in that: The obtaining of image information after being illuminated by monochromatic light as a third detection signal comprises: The image information is acquired by a microscope camera, which is located on a camera platform. The camera platform is connected to a host computer, and the host computer sends a platform movement shooting instruction every N seconds. The platform movement shooting instruction is used to move the camera platform and control the microscope camera to shoot.

8. A wearable intelligent urine testing device, characterized in that: include: A urine volume detection unit, used for a first detection signal, wherein the first detection signal is a bladder pressure value of the patient, the bladder pressure value is obtained by a pressure sensor in the wearable urine test device, and a predicted urine volume is calculated according to the bladder pressure value; a reminder unit, used for sending a sampling reminder message according to the predicted urine output; A urine sampling unit, for responding to the sampling reminder information, sampling the patient's urine according to a sampling rule, wherein the sampling rule includes a first sampling rule or a second sampling rule, wherein the first sampling rule is to sample the patient's front-end urine, mid-end urine, or back-end urine to obtain a first sample, and the second sampling rule is to sample the patient's front-end urine, mid-end urine, and back-end urine to obtain a second sample; a urine detection unit, configured to irradiate the first sample or the second sample with monochromatic light, convert the light signal obtained after the monochromatic light irradiation into an electrical signal through a photoelectric signal conversion circuit to obtain a second detection signal, and obtain image information after the monochromatic light irradiation as a third detection signal; The result display unit is used to send the second detection signal and the third detection signal, and compare the second detection signal and the third detection signal with the urine test database to obtain and display the patient's urine test result.

9. A wearable intelligent urine testing system, characterized in that: include: A wearable urine test instrument, a communication cable and a host computer, wherein the wearable urine test instrument is used to implement the method described in any one of claims 1 to 7, wherein the host computer is used to receive a second detection signal and a third detection signal sent by the wearable device through the communication cable, wherein the second detection signal is a signal sent by the photoelectric conversion circuit after the wearable urine test instrument irradiates the urine test sample with near-infrared light, and the third detection signal is an image signal after the wearable urine test instrument uses a microscope camera to photograph the urine test sample irradiated with near-infrared light. After receiving the second detection signal and the third detection signal, the host computer compares the urine test modeling information database in the host computer to obtain the urine test result and returns the urine test result to the wearable urine test instrument for display.

10. A wearable urine tester, characterized in that: include: A processor, a pressure sensor, a urine collector, a urine sampling glass slide, an LED light group, a photoelectric conversion circuit, a microscope camera and a camera platform, wherein the processor is respectively connected to the pressure sensor, the urine collector, the LED light group and the camera platform, the urine collector includes a front urine collector, a middle urine collector and a rear urine collector, and the urine sampling glass slide includes a front urine sampling glass slide, a middle urine sampling glass slide and a rear urine sampling glass slide; The pressure sensor is used to measure the pressure value of the patient's bladder, and the processor receives the bladder pressure value of the pressure sensor to calculate the predicted urine output; The urine collector samples each section of urine according to the predicted urine output calculated by the processor and the sampling rule, and stores the samples in the corresponding urine sampling slides; The LED light group includes three groups of LED lights, which are respectively arranged on the front urine sampling slide, the middle urine sampling slide and the back urine sampling slide. The processor controls the LED light group to emit near-infrared light of different wavelengths to illuminate the urine sampling slide. The photoelectric conversion circuit includes a photoelectric sensor, which is used to receive the near-infrared light passing through the urine sampling slide and convert it into an electrical signal as a second detection signal. A microscope camera is installed on the camera platform, and the microscope camera includes three microscope cameras, which are respectively used to photograph the front urine sampling slide, the middle urine sampling slide and the back urine sampling slide after being irradiated by three groups of LED lights, and use the image information after the photographing as the third detection signal; The processor sends the second detection signal and the third detection signal, receives the urine test result from the host computer, and displays it through the wearable urine test instrument.

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