Intelligent ovulation detection system and method

Abstract

The invention discloses an intelligent ovulation detection system and method, and the method comprises the steps: taking a picture of immune layer test paper with to-be-detected urine dropped on an immune layer of a patient, and obtaining the picture of the immune layer test paper with the to-be-detected urine dropped; receiving and processing the picture of the immune layer test paper dripped with the urine to be detected to obtain the LH concentration value of the test paper of the patient; storing test paper LH concentration values, calculated according to the immune layer test paper pictures dropped with the urine to be detected and received for multiple days continuously, of the patient for multiple days continuously; according to the change trend of the LH concentration value of the test paper of the patient for multiple consecutive days, estimating that ovulation of the patient is about to occur according to the time when the LH concentration value of the test paper is close to the peak; when it is estimated that ovulation of the patient is about to occur, the patient is prompted to conduct sex hormone examination and B-ultrasonic examination, and then it is finally confirmed that ovulation is about to occur according to the sex hormone examination result and the B-ultrasonic examination result of the patient.

Description

Technical Field

[0001] The present invention relates to the technical field of urine LH concentration monitoring, and in particular to an intelligent ovulation detection system and method. Background Art

[0002] Fertility issues have always been one of the focuses of social attention. The popularization and development of reproductive health services such as ovulation monitoring can help reduce the incidence of reproductive health problems such as infertility and increase fertility rates. Through ovulation monitoring, women can accurately predict their ovulation time, thereby increasing the chance of conception. For couples who want to get pregnant, it is crucial to understand the woman's ovulation situation.

[0003] At present, the main technical means of ovulation monitoring include: basal body temperature monitoring, cervical mucus monitoring, ovulation test strip monitoring, B-ultrasound monitoring, and endocrine hormone monitoring. The above commonly used ovulation monitoring technologies have many problems and cannot conveniently and accurately help pregnant women to detect ovulation. The main defects and shortcomings of the existing technology are as follows:

[0004] 1. Basal body temperature monitoring: refers to the body temperature when you are inactive in the early morning. It is low in the early stage of ovulation, and increases significantly by about 0.2-0.5℃ after ovulation, and continues until the menstruation. Ovulation can be inferred by continuously monitoring the basal body temperature. This method has a low accuracy rate and is affected by factors such as colds, insomnia, drinking, and taking certain drugs.

[0005] 2. Cervical mucus monitoring: Before ovulation, cervical mucus will become thin, transparent, and easy to draw, and the amount of mucus secretion will increase. Ovulation can be monitored by observing cervical mucus. This method requires certain professional knowledge and experience to judge, and is highly subjective.

[0006] 3. Ovulation test strip monitoring: Predict ovulation time by detecting the level of luteinizing hormone (LH) in urine. LH will reach its peak before ovulation, and the test strip will show a strong positive at this time. This method relies on manual observation and comparison of the color changes of the test strips, and cannot quantitatively determine the LH concentration, so the accuracy is limited.

[0007] 4. Ultrasound monitoring: Clinical B-ultrasound examination is used to directly observe the development of the ovaries and follicles, including the size, shape, and number of follicles, to determine the ovulation situation. This method is time-consuming, requires frequent trips to the hospital, and is relatively expensive, which is not conducive to long-term testing.

[0008] 5. Endocrine hormone monitoring: By taking blood to check the endocrine hormone levels, such as estrogen, progesterone, luteinizing hormone, etc., ovulation can be indirectly judged. This method requires going to the hospital for blood tests and requires multiple monitoring, and the operability is poor. Summary of the invention

[0009] The purpose of the present invention is to provide an intelligent ovulation detection system and method, which can avoid the subjective error of human judgment by combining intelligent semi-quantitative immunochromatographic test paper urine LH concentration monitoring with clinical examination for clinical application of ovulation detection.

[0010] According to a first aspect of the present invention, an ovulation detection system of the present invention comprises:

[0011] An immune layer test paper image acquisition module is used to acquire an image of the immune layer test paper with urine to be tested dropped on the immune layer of the patient by taking a photo of the immune layer test paper with urine to be tested dropped on the immune layer of the patient;

[0012] The test paper LH concentration numerical calculation module is used to receive and process the immune layer test paper image with the urine to be tested to obtain the test paper LH concentration value of the patient;

[0013] The LH concentration value storage module is used to store the LH concentration values ​​of the test paper of the patient for consecutive days calculated by the test paper LH concentration numerical calculation device according to the immune layer test paper images with urine to be tested received for consecutive days;

[0014] The ovulation prediction module estimates that the patient's ovulation is about to occur based on the change trend of the patient's test strip LH concentration value for several consecutive days and the time when the test strip LH concentration value is close to the peak;

[0015] The ovulation determination module located on the network side prompts the patient to undergo sex hormone test and B-ultrasound examination when the ovulation prediction device predicts that the patient is about to ovulate, and then uses the patient's sex hormone test results and B-ultrasound examination results to finally confirm that ovulation is about to occur.

[0016] Preferably, the immune layer test paper image acquisition device is a camera device of a mobile phone; the test paper LH concentration numerical calculation module, LH concentration value storage device, ovulation estimation module and ovulation determination module are all arranged in the mobile phone.

[0017] Preferably, the test paper LH concentration numerical calculation device determines the test paper LH concentration value by comparing the RGB difference values ​​of the C and T lines and the middle area on the immune layer test paper image of the urine to be tested.

[0018] Preferably, the RGB difference value diff is calculated as follows:

[0019]

[0020] Among them, R, G, and B correspond to the RGB difference between the middle white area and the corresponding positions of the C and T lines, respectively, and rmean is the average value of the middle white area and the corresponding positions of the C and T lines on the R channel.

[0021] Preferably, determining the LH concentration value of the test paper comprises:

[0022] Determine whether the color difference value is greater than the color preset threshold;

[0023] If not, it is determined that the color concentration at this location is not significantly different from the original color concentration, and it is judged that no result is displayed;

[0024] If so, it is determined that the color concentration at this location is significantly different from the original color concentration, and it is judged that there is a result to be displayed. The corresponding color difference at this location is compared with the color difference in the standard library to confirm the test paper concentration.

[0025] According to a second aspect of the present invention, an intelligent ovulation detection method of the present invention comprises:

[0026] The immune layer test paper image acquisition module acquires an image of the immune layer test paper with the urine to be tested dropped on the immune layer of the patient by taking a photo of the immune layer test paper with the urine to be tested dropped on the immune layer of the patient;

[0027] The test paper LH concentration numerical calculation module receives and processes the immune layer test paper image with the urine to be tested to obtain the test paper LH concentration value of the patient;

[0028] The LH concentration value storage device stores the LH concentration values ​​of the test paper of the patient for consecutive days calculated by the test paper LH concentration value calculation device according to the immune layer test paper images with drops of urine to be tested received for consecutive days;

[0029] The ovulation prediction module estimates that the patient's ovulation is about to occur based on the change trend of the patient's test paper LH concentration value for several consecutive days and the time when the test paper LH concentration value is close to the peak;

[0030] When the ovulation prediction device predicts that the patient is about to ovulate, the ovulation determination module prompts the patient to undergo a sex hormone test and a B-ultrasound test, and uses the patient's sex hormone test results and the B-ultrasound test results to ultimately confirm that ovulation is about to occur.

[0031] Preferably, the immune layer test paper image acquisition device is a camera device of a mobile phone; the test paper LH concentration numerical calculation module, LH concentration value storage device, ovulation estimation module and ovulation determination module are all arranged in the mobile phone.

[0032] Preferably, the test paper LH concentration numerical calculation device determines the LH concentration value by comparing the RGB difference values ​​of the C and T lines and the middle area on the immune layer test paper image of the urine to be tested.

[0033] Preferably, the RGB difference value diff is calculated as follows:

[0034]

[0035] Among them, R, G, and B correspond to the RGB difference between the middle white area and the corresponding positions of the C and T lines, respectively, and rmean is the average value of the middle white area and the corresponding positions of the C and T lines on the R channel.

[0036] Preferably, determining the LH concentration value comprises:

[0037] Determine whether the color difference value is greater than the color preset threshold;

[0038] If not, it is determined that the color concentration at this location is not significantly different from the original color concentration, and it is judged that no result is displayed;

[0039] If so, it is determined that the color concentration at this location is significantly different from the original color concentration, and it is judged that there is a result to be displayed. The corresponding color difference at this location is compared with the color difference in the standard library to confirm the test paper concentration.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] The LH concentration value can be automatically identified through the patient's mobile phone. Compared with the traditional manual basal body temperature monitoring, cervical mucus monitoring, and ovulation test strip monitoring, it avoids the subjective error of human judgment, is more convenient to operate, and the use of quantitative LH values ​​is more objective.

[0042] The present invention prompts the patient to go to a medical institution for color ultrasound examination and blood test only when the mobile phone estimates the ovulation time. Compared with the traditional method of patients going directly to a medical institution for examination, the present invention has lower cost, is more convenient and has stronger sustainability. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a schematic diagram of the intelligent ovulation detection system of the present invention;

[0044] Figure 2 is a schematic diagram of the intelligent ovulation detection method of the present invention;

[0045] Figure 3 It is a schematic diagram of positioning C-line and T-line of the present invention. DETAILED DESCRIPTION

[0046] Figure 1The invention shows an intelligent ovulation detection system, comprising: an immune layer test paper image acquisition device, which acquires an image of the immune layer test paper with urine to be detected by taking a photo of the immune layer test paper of the patient; a test paper LH concentration numerical calculation device, which is used to receive and process the immune layer test paper image with urine to be detected sent by the communication device to obtain the test paper LH concentration value of the patient; an LH concentration value storage device, which is used to store the test paper LH concentration values ​​of the patient for many consecutive days calculated by the test paper LH concentration numerical calculation device according to the immune layer test paper images with urine to be detected received for many consecutive days; an ovulation prediction device, which estimates the patient's ovulation to be about to occur according to the time when the test paper LH concentration value is close to the peak according to the change trend of the patient's test paper LH concentration value for many consecutive days; and an ovulation determination device, which prompts the patient to undergo sex hormone examination and B-ultrasound examination when the ovulation prediction device estimates that the patient is about to ovulate, and then uses the patient's sex hormone examination results and B-ultrasound examination results to finally confirm that ovulation is about to occur.

[0047] Figure 2 The invention shows an intelligent ovulation detection method, comprising: an immune layer test paper image acquisition module that takes a picture of the immune layer test paper with urine to be detected on the immune layer of the patient to obtain an image of the immune layer test paper with urine to be detected; a test paper LH concentration numerical calculation module that receives and processes the immune layer test paper image with urine to be detected to obtain the test paper LH concentration value of the patient; an LH concentration value storage device that stores the test paper LH concentration values ​​of the patient for several consecutive days calculated by the test paper LH concentration numerical calculation device based on the immune layer test paper images with urine to be detected received for several consecutive days; an ovulation estimation module that estimates the patient's ovulation is about to occur based on the time when the test paper LH concentration value is close to the peak according to the change trend of the patient's test paper LH concentration value for several consecutive days; and an ovulation determination device that prompts the patient to undergo a sex hormone test and a B-ultrasound examination when the ovulation estimation device estimates that the patient is about to ovulate, and then uses the patient's sex hormone test results and the B-ultrasound examination results to finally confirm that ovulation is about to occur.

[0048] In a preferred embodiment of the present invention, the immune layer test paper image acquisition device is a camera device of a mobile phone; the test paper LH concentration numerical calculation module, the LH concentration value storage device, the ovulation estimation module and the ovulation determination module are all arranged in the mobile phone.

[0049] The present invention determines the concentration by comparing the RGB difference values ​​of the C and T lines and the middle area on the test paper image.

[0050] like Figure 3 As shown, the positioning method of the C line and T line of the reagent strip is as follows:

[0051] The test strip result display area is divided into two areas, upper and lower. Perform the following operations on the two areas to obtain the C and T line positions;

[0052] Convert the segmented image into RGB three-channel data;

[0053] Calculate the average value of the G channel for each row of the segmented image; (because the difference between the white area of ​​the reagent strip and the red result display area in the G channel is most obvious)

[0054] Calculate the average value of the G channel of the middle 10% of the original image; (the middle part is closest to white and has no noise; the selection of 10% not only avoids a large amount of calculation, but also ensures a high accuracy of the average value obtained)

[0055] Find the row position with the largest difference from the average value of the G channel in the middle part, which is the position of the C line or T line with the darkest color.

[0056] The test paper LH concentration numerical calculation device of the present invention determines the test paper LH concentration value by comparing the RGB difference values ​​of the C, T lines and the middle area on the immune layer test paper image of the urine to be tested. The RGB difference value diff is calculated as follows:

[0057]

[0058] Among them, R, G, and B correspond to the RGB difference between the middle white area and the corresponding positions of the C and T lines, respectively, and rmean is the average value of the middle white area and the corresponding positions of the C and T lines on the R channel.

[0059] Determining the LH concentration value of the test paper includes: judging whether the color difference value is greater than the color preset threshold; if not, determining that the color concentration at this location is not significantly different from the original color concentration, and judging that no result is displayed; if so, determining that the color concentration at this location is significantly different from the original color concentration, and judging that there is a result to display, and comparing the corresponding color difference at this location with the color difference in the standard library to confirm the test paper concentration.

[0060] Color preset threshold: After taking pictures of multiple reagent strips with different concentrations, the above method is used to calculate the concentration of 0 and the concentration of 10 (the lowest concentration obtained by mixing) to distinguish as many values ​​as possible.

[0061] Color difference in the standard library: Take multiple test strips of different concentrations, calculate the color difference values ​​corresponding to the C and T lines of different concentrations by the above method, and determine the color difference standard values ​​corresponding to different concentrations by regression. For example, concentration 10 corresponds to x1, concentration 15 corresponds to x2, etc.

[0062] The principle of the ovulation detection of the present invention is to predict the ovulation time by detecting the level of luteinizing hormone (LH) in urine. Luteinizing hormone will reach a peak before ovulation, and the appearance of this peak usually indicates that ovulation is about to occur. The specific operation includes:

[0063] Choose the test time: Start testing at a specific stage of the menstrual cycle. It is generally recommended to start 5-7 days before ovulation and test at a fixed time every day to more accurately capture changes in LH levels.

[0064] Collect urine: Use a dry, clean container to collect urine samples. Note that you should not use the first urine in the morning, because the LH level at this time may be affected by a variety of factors and unstable. It is recommended to collect urine between 10 am and 8 pm.

[0065] Take out the test paper: tear open the aluminum foil bag and take out the semi-quantitative ovulation test paper.

[0066] Immerse in urine: Immerse the absorbent end of the test paper (usually the end indicated by the arrow) vertically into the urine and keep it for a certain period of time (such as 20 seconds or 30 seconds). The specific time depends on the test paper instructions. Be careful not to let the urine level exceed the maximum line on the test paper.

[0067] Removing the test strip: After removing the test strip from the urine, lay it flat on a dry, clean surface.

[0068] Wait for reaction: Wait for the reaction according to the time requirements on the test paper instructions, usually 5-10 minutes or longer.

[0069] Observe the color band: Observe the changes in the color band in the middle of the test paper. The color depth of the color band reflects the concentration of LH in urine.

[0070] Comparison color card: Compare the color strip on the test paper with the color card that comes with the test paper, find the color block that is closest to the color of the color strip, and record the corresponding value.

[0071] Record the value: After each test, record the value on the test strip. As the LH level increases, the value will increase accordingly.

[0072] Observe the trend: After a few days of testing, observe the trend of the value. When the value begins to rise significantly, it means that the LH level is approaching its peak.

[0073] Estimated ovulation time: When the value reaches or approaches the peak value (such as 65), it means that ovulation is about to occur. At this time, the test frequency can be increased (such as testing once every 4 hours) to more accurately capture the ovulation time. When the value starts to drop from the peak value (such as from 65 to 45), it means that ovulation has occurred or is about to end.

[0074] Maintain testing consistency: Try to test at the same time each day and use the same urine collection method.

[0075] Avoid interfering factors: Avoid activities such as drinking a lot of water or strenuous exercise before the test that may affect LH levels.

[0076] Although the ovulation detection reagent of the present invention can predict the time of ovulation, it is not 100% accurate. Therefore, it can be combined with other methods (such as sex hormone detection, B-ultrasound examination, etc.) to improve the accuracy.

[0077] Steps to identify the relationship between ovulation time and LH concentration in self-test:

[0078] 1. Since the LH peak usually occurs 1-2 days before ovulation, ovulation will occur within 24-36 hours after the peak. Use ovulation test strips through intelligent recognition algorithms to detect the LH concentration in urine. When the ovulation test strip detects a sharp rise in LH concentration, forming an "LH peak", it indicates that ovulation is about to occur.

[0079] 2. At this time, the ovulation monitor should immediately go to the hospital for sex hormone test and B-ultrasound examination. When the sex hormone test results show a sharp rise in estrogen levels and the LH test paper also shows a strong positive, it can be further confirmed that ovulation is about to occur. At the same time, check the progesterone prog value. The normal value during the ovulation period is usually between 0.2 and 0.6 ng / ml, and after ovulation it is 6.5 to 32.2 ng / ml.

[0080] 3. The development of follicles can be observed visually through color ultrasound examination. Before ovulation, the follicles will gradually grow and mature. During ovulation, the follicles will rupture and release the eggs. At this time, ultrasound examination can see the disappearance or collapse of the follicles.

[0081] 4. The doctor combines the self-tested LH concentration value, sex hormone test results, and ultrasound examination results: The doctor can accurately determine the ovulation time by conducting a comprehensive analysis of the LH concentration value detected by the ovulation test paper, the sex hormone test results, and the color ultrasound examination results. When the LH test paper shows a strong positive reaction, the sex hormone test shows a sharp increase in estrogen levels, and the ultrasound examination shows that the follicles are mature, it can be confirmed that ovulation is about to occur.

[0082] Record the self-tested LH concentration value at this time. This LH concentration is the concentration when ovulation is about to occur. When the LH concentration is automatically detected in the future, if this concentration is detected again, it means that ovulation is about to occur.

[0083] For example, when a girl who is preparing to have a baby, Xiaoli, performs a self-test of ovulation, when the LH concentration of a self-test is 60, which is close to the peak concentration, she consults a doctor and goes to the hospital for sex hormone testing and ultrasound examination. After the examination, it is found that the sex hormone test shows a sharp rise in estrogen levels and the ultrasound examination shows that the follicles are mature. The concentration of 60 at this time is recorded as the concentration when Xiaoli is about to ovulate. When the next LH concentration reaches 60 again, it is the time of ovulation.

[0084] The method of use of the present invention is as follows: the patient uses the mobile phone "Pregnancy Hope" WeChat applet that integrates the self-developed immunochromatographic test paper urine LH concentration automatic detection algorithm, uses the mobile phone to take a picture of the immunochromatographic test paper with urine to be tested, and then uploads the picture to the "Pregnancy Hope" applet. At this time, the applet will automatically calculate the LH concentration value of the test paper and record it in the system. The assisted reproductive doctor combines the LH concentration values ​​tested multiple times for the patient to estimate the ovulation time. At the same time, venous blood sex hormone detection and color ultrasound examination are performed for the patient. By comparing the applet, the LH concentration value of the immunochromatographic test paper, the sex hormone test results, and the color ultrasound examination results are automatically identified, and the pattern between the ovulation time and the self-detected LH concentration value is identified. After discovering the ovulation pattern, the patient can realize the self-detection of the LH concentration of the immunochromatographic test paper through the "Pregnancy Hope" applet, accurately judge the ovulation time, and provide support for successful conception.

[0085] The clinical application mode of ovulation detection proposed by this medical technology, which combines intelligent semi-quantitative immunochromatographic test paper urine LH concentration monitoring with clinical examination, is an effective, convenient and accurate ovulation monitoring method, which can help pregnant women to timely discover the ovulation pattern and determine the ovulation time.

[0086] Through WeChat applet, intelligent immunochromatographic test strip urine LH concentration detection technology, combined with blood tests and color ultrasound of medical institutions, patients can conduct accurate ovulation detection at home and reasonably determine the ovulation date, avoiding the problem of subjective factors and inaccuracy in the single use of immunochromatographic test strips. At the same time, it avoids the high time and economic costs and unsustainability of frequent visits to medical institutions for testing.

[0087] The present invention uses a WeChat applet to automatically identify the LH concentration value by taking a photo of the immunochromatographic test paper. Compared with traditional manual basal body temperature monitoring, cervical mucus monitoring, and ovulation test paper monitoring, it avoids the subjective error of human judgment, is more convenient to operate, and uses quantitative LH values ​​that are more objective.

[0088] The present invention uses a WeChat applet to automatically identify the LH concentration value by taking a photo of the immunochromatographic test paper. Compared with the traditional method of going to a medical institution for color ultrasound examination and blood test to determine whether ovulation has occurred, it is lower in cost, more convenient and more sustainable.

[0089] The present invention uses a complete "user detection-platform analysis-medical guidance" three-in-one detection and evaluation system to conduct effective ovulation monitoring and ovulation time determination. At the same time, with the help of WeChat applet, it is convenient for patients to monitor at home, and can be quickly and widely promoted and applied.

[0090] The immunochromatographic test strip of the present invention is used clinically to detect ovulation by combining urine LH concentration monitoring with clinical examination. An intelligent algorithm is used to automatically detect the LH concentration in a drop of urine immunochromatographic test strip to be tested, and a semi-quantitative LH concentration value can be given, helping patients to use the immunochromatographic test strip at home more conveniently and economically.

[0091] The present invention can accurately discover the pattern of LH concentration and ovulation time of individual patients by combining autonomous and intelligent detection of urinary LH concentration in immunochromatographic test paper with blood tests and ultrasonic examinations conducted by medical institutions, thereby helping patients to determine ovulation time autonomously, conveniently and accurately.

[0092] Although the present invention is described in detail above, the present invention is not limited thereto, and those skilled in the art can make various modifications based on the principles of the present invention. Therefore, all modifications made based on the principles of the present invention should be understood to fall within the protection scope of the present invention.

Claims

1. An intelligent ovulation detection system, comprising: An immune layer test paper image acquisition module is used to acquire an image of the immune layer test paper with the urine to be tested dropped on the immune layer of the patient by taking a photo of the immune layer test paper with the urine to be tested dropped on the immune layer of the patient; A test paper LH concentration numerical calculation module is used to receive and process the immune layer test paper image with the urine to be tested to obtain the test paper LH concentration value of the patient; An LH concentration value storage device is used to store the LH concentration values ​​of the test paper of the patient for consecutive days calculated by the test paper LH concentration numerical calculation device based on the immune layer test paper images with drops of urine to be tested received for consecutive days; The ovulation prediction module estimates that the patient's ovulation is about to occur based on the change trend of the patient's test strip LH concentration value for several consecutive days and the time when the test strip LH concentration value is close to the peak; The ovulation confirmation module prompts the patient to undergo a sex hormone test and a B-ultrasound examination when the ovulation prediction device predicts that the patient is about to ovulate, and then uses the patient's sex hormone test results and the B-ultrasound examination results to finally confirm that ovulation is about to occur.

2. The intelligent ovulation detection system according to claim 1, wherein the immune layer test paper image acquisition device is a camera device of a mobile phone; the test paper LH concentration numerical calculation module, LH concentration value storage device, ovulation estimation module and ovulation determination module are all arranged in the mobile phone.

3. According to the intelligent ovulation detection system of claim 1, the test paper LH concentration numerical calculation device determines the test paper LH concentration value by comparing the RGB difference values ​​of the C, T lines and the middle area on the immune layer test paper image of the urine to be tested.

4. The intelligent ovulation detection system according to claim 3, wherein: The RGB difference value diff is calculated as follows: Among them, R, G, and B correspond to the RGB difference between the middle white area and the corresponding positions of the C and T lines, respectively, and rmean is the average value of the middle white area and the corresponding positions of the C and T lines on the R channel.

5. The intelligent ovulation detection system according to claim 3 or 4, wherein determining the LH concentration value of the test paper comprises: Determine whether the color difference value is greater than the color preset threshold; If not, it is determined that the color concentration at this location is not significantly different from the original color concentration, and it is judged that no result is displayed; If so, it is determined that the color concentration at this location is significantly different from the original color concentration, and it is judged that there is a result to be displayed. The corresponding color difference at this location is compared with the color difference in the standard library to confirm the test paper concentration.

6. An intelligent ovulation detection method, comprising: The immune layer test paper image acquisition module takes a picture of the immune layer test paper of the patient with the urine to be tested, and acquires a picture of the immune layer test paper with the urine to be tested; The test paper LH concentration numerical calculation module receives and processes the immune layer test paper image with the urine to be tested to obtain the test paper LH concentration value of the patient; The LH concentration value storage device stores the LH concentration values ​​of the test paper of the patient for consecutive days calculated by the test paper LH concentration value calculation device according to the immune layer test paper images with drops of urine to be tested received for consecutive days; The ovulation prediction module estimates that the patient's ovulation is about to occur based on the change trend of the patient's test paper LH concentration value for several consecutive days and the time when the test paper LH concentration value is close to the peak; When the ovulation prediction device predicts that the patient is about to ovulate, the ovulation determination module prompts the patient to undergo a sex hormone test and a B-ultrasound test, and then uses the patient's sex hormone test results and the B-ultrasound test results to finally confirm that ovulation is about to occur.

7. The intelligent ovulation detection method according to claim 6, wherein the immune layer test paper image acquisition device is a camera device of a mobile phone; the test paper LH concentration numerical calculation module, LH concentration value storage device, ovulation estimation module and ovulation determination module are all arranged in the mobile phone.

8. The intelligent ovulation detection method according to claim 6, wherein the test paper LH concentration numerical calculation device determines the LH concentration value by comparing the RGB difference values ​​of the C and T lines and the middle area on the immune layer test paper image of the urine to be detected.

9. The intelligent ovulation detection system according to claim 8, wherein: The RGB difference value diff is calculated as follows: Among them, R, G, and B correspond to the RGB difference between the middle white area and the corresponding positions of the C and T lines, respectively, and rmean is the average value of the middle white area and the corresponding positions of the C and T lines on the R channel.

10. The intelligent ovulation detection system according to claim 8 or 9, wherein determining the LH concentration value comprises: Determine whether the color difference value is greater than the color preset threshold; If not, it is determined that the color concentration at this location is not significantly different from the original color concentration, and it is judged that no result is displayed; If so, it is determined that the color concentration at this location is significantly different from the original color concentration, and it is judged that there is a result to be displayed. The corresponding color difference at this location is compared with the color difference in the standard library to confirm the test paper concentration.

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