An electronic early pregnancy detection stick

Abstract

The application relates to the technical field of pregnancy test sticks, in particular to an electronic early pregnancy detection stick. The application provides an electronic early pregnancy detection stick which comprises a reagent strip, a spectrum analysis system, a temperature sensor, a processor and a display unit. First, the reagent strip is irradiated by using an LED light source, and reflected light is received by a corresponding photosensitive sensor; then the temperature of the reagent strip is monitored in real time by using the temperature sensor, the photosensitive signal is compensated and corrected based on temperature data by the processor, and the human chorionic gonadotropin level is calculated by analyzing the corrected spectrum data; finally, the gestational age is estimated based on the calculation result and presented on the display unit; not only the accuracy and reliability of detection are improved, but also active compensation of environmental factors is realized, and quantitative results and accurate gestational age estimation are provided by spectrum analysis.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of pregnancy test sticks, and in particular to an electronic early pregnancy detection stick. BACKGROUND

[0002] Early pregnancy detection is an important part of women's health management, and timely and accurate test results are crucial for pregnancy care and medical decision-making. With the development of society and the advancement of medical technology, people have higher requirements for the accuracy, convenience and information content of early pregnancy detection.

[0003] The existing technology generally uses immunochromatography technology to detect the level of human chorionic gonadotropin (hCG) in urine through a test strip to determine whether a woman is pregnant. This method is simple to operate and convenient to use, and has been widely used in home self-testing and medical institution screening. The detection principle is based on the specific binding of antigen-antibody, and the presence of hCG is indicated by a color reaction.

[0004] The traditional detection method determines whether a woman is pregnant by visual judgment, which cannot accurately predict the pregnant period. At the same time, visual interpretation is affected by insufficient light or subjective factors, especially when the intensity of the detection area is weak, the level of the analyte is low, and the user cannot draw accurate conclusions, making it difficult to meet the needs of modern women for accurate gestational age estimation. This situation needs to be further improved. SUMMARY

[0005] To solve the problem that the existing technology cannot accurately predict the pregnant period, the present application provides an electronic early pregnancy detection stick, which adopts the following technical solutions:

[0006] In a first aspect, the present application provides an electronic early pregnancy detection stick, comprising:

[0007] A reagent strip for receiving a sample to be tested and performing an immunochromatography reaction;

[0008] A spectral analysis system, comprising:

[0009] An LED light source for illuminating the detection line and the control line on the reagent strip;

[0010] A photosensitive sensor corresponding to the LED light source for receiving light of different wavelengths reflected from the detection line and the control line;

[0011] A temperature sensor for detecting the temperature of the reagent strip;

[0012] A processor electrically connected to the spectral analysis system and the temperature sensor, the processor being configured to:

[0013] Receive and process signal data from the photosensitive sensor;

[0014] receiving and processing temperature data from the temperature sensor;

[0015] temperature compensating correction of the signal data based on the temperature data;

[0016] analyzing the color and intensity of the test line and the control line based on the corrected signal data, and calculating the human chorionic gonadotropin level;

[0017] estimating the gestational age based on the human chorionic gonadotropin level;

[0018] a display unit electrically connected to the processor, for displaying the estimated gestational age and / or the human chorionic gonadotropin level.

[0019] By adopting the above technical solution, the traditional method often leads to inaccurate or unstable detection results due to factors such as light conditions, user subjective judgment, and environmental temperature changes. For example, in an environment with insufficient light, a weak test line may be misjudged as a negative result; and in a high-temperature environment, the immune chromatography reaction rate may be accelerated, affecting the accuracy of the result. The application first uses an LED light source to irradiate the reagent strip, and receives the reflected light through the corresponding photosensitive sensor; then uses a temperature sensor to monitor the temperature of the reagent strip in real time, and the processor compensates and corrects the photosensitive signal based on the temperature data, and calculates the human chorionic gonadotropin level by analyzing the corrected spectral data; finally, the gestational age is estimated based on the calculation result and presented on the display unit; not only improves the accuracy and reliability of the detection, but also actively compensates for environmental factors, and provides quantitative results and accurate gestational age estimation through spectral analysis.

[0020] Optionally, it also includes a storage unit electrically connected to the processor, for storing correction algorithm parameters, and the processor compensates and corrects the signal data based on the correction algorithm parameters.

[0021] By adopting the above technical solution, the traditional temperature compensation method often uses a fixed correction formula, which is difficult to adapt to the characteristic differences of different batches of reagent strips and complex environmental changes. For example, in extreme temperature conditions or when using different production batches of reagent strips, a fixed correction method may lead to insufficient or excessive compensation, affecting the reliability of the detection result; the application first pre-stores correction algorithm parameters for different batches of reagent strips and temperature ranges in the storage unit, and during the detection process, the processor retrieves the corresponding correction algorithm parameters from the storage unit according to the current detection temperature data; then, the processor uses these parameters to accurately compensate and correct the signal data of the photosensitive sensor; finally, based on the corrected data, the human chorionic gonadotropin level is calculated and the gestational age is estimated, improving the accuracy and reliability of the detection result.

[0022] Optionally, the storage unit is further configured to store historical detection data, and the processor is further configured to:

[0023] analyze a change trend of the human chorionic gonadotropin level based on the current detection data and the historical detection data.

[0024] By adopting the above technical solution, the traditional early pregnancy detection method can usually only provide a single detection result, and cannot reflect the dynamic change trend of the human chorionic gonadotropin (hCG) level, which limits the user's comprehensive understanding of their own pregnancy condition. For example, in some cases, an abnormal increase or decrease in the hCG level may indicate a risk of pregnancy complications, but a single detection cannot find these potential problems. The application stores the result of each detection in the storage unit. The processor reads the stored historical data at the same time when performing a new detection. Then, the current detection data and the historical data are combined, and a statistical analysis algorithm is used to calculate the change trend of the hCG level, which can help the user better understand their own pregnancy progress and discover potential abnormalities as soon as possible.

[0025] Optionally, the processor is further configured to:

[0026] adjust the light intensity of the LED light source based on the temperature data.

[0027] By adopting the above technical solution, the traditional electronic detection device usually uses an LED light source with a fixed light intensity. However, the light-emitting efficiency of the LED changes with temperature. For example, in a high-temperature environment, the light-emitting efficiency of the LED decreases, which may cause the detection line signal intensity to weaken and affect the accuracy of the detection. In a low-temperature environment, the light-emitting efficiency of the LED increases, which may cause signal saturation and reduce the sensitivity of the detection. The application adjusts the light intensity of the LED based on the temperature data, realizes dynamic adjustment of the intensity of the LED light source, ensures the consistency and stability of the signal in different temperature environments, and can improve the accuracy and reliability of the detection result.

[0028] Optionally, the processor is further configured to:

[0029] obtain preset batch calibration parameters as initial calibration parameters for each LED light source and each photosensitive sensor;

[0030] obtain detection data at multiple time points during a single detection process, and evaluate the short-term performance change of each photosensitive sensor based on the detection data;

[0031] adjust the calibration parameters in real time based on the short-term performance change and the initial calibration parameters;

[0032] apply the adjusted calibration parameters to the spectral analysis system to optimize the detection result.

[0033] By adopting the technical scheme, the traditional electronic detection equipment usually relies on fixed calibration parameters and cannot adapt to real-time performance changes of devices. For example, due to production batch differences, there may be initial performance differences between LEDs and photosensitive sensors of different devices. In the use process, factors such as temperature changes and device aging may cause short-term performance drift, which will affect the accuracy and consistency of detection. The preset batch calibration parameters are used as initial values. Then, data at multiple time points are continuously collected in a single detection process to evaluate the short-term performance changes of each photosensitive sensor. Based on the short-term changes and the initial calibration parameters, the calibration parameters are calculated and adjusted in real time. Finally, the adjusted parameters are applied to the spectral analysis system to optimize the detection results. Real-time adaptive calibration of the detection system is realized, which not only solves the batch difference problem, but also dynamically compensates for performance drift in the use process, significantly improving the accuracy, stability and consistency of the detection results.

[0034] Optionally, according to the detection data, the short-term performance changes of each photosensitive sensor are evaluated, specifically including the following steps:

[0035] According to the received light wavelength of each photosensitive sensor, the photosensitive sensors are classified into main photosensitive sensors and auxiliary photosensitive sensors.

[0036] According to the detection data at the multiple time points, the signal intensity change index of the main photosensitive sensor and the signal-to-noise ratio change index of the auxiliary photosensitive sensor are calculated respectively.

[0037] According to the signal intensity change index and the signal-to-noise ratio change index, the short-term performance changes of each photosensitive sensor are evaluated.

[0038] By adopting the technical scheme, the traditional performance evaluation of the photosensitive sensor usually adopts a unified standard, ignoring the different importance and characteristics of different wavelength sensors in detection; for example, in early pregnancy detection, certain specific wavelengths are crucial for identifying the detection line, while other wavelengths are mainly used for auxiliary judgment or background correction, and adopting a unified standard may cause the performance changes of key wavelength sensors to be hidden, or the slight fluctuations of non-key sensors to be excessively magnified, thereby affecting the accuracy of the overall detection; the present application first divides the sensors into main photosensitive sensors and auxiliary photosensitive sensors according to the wavelengths of light received by each photosensitive sensor and the importance thereof in detection; then for the main photosensitive sensors, the change index of the signal strength thereof is mainly calculated to ensure the detection stability of the key wavelengths; for the auxiliary photosensitive sensors, the change index of the signal-to-noise ratio thereof is mainly calculated to optimize the reliability of background correction and auxiliary judgment, and finally the short-term performance changes of each photosensitive sensor are comprehensively evaluated by comprehensively evaluating the two types of indexes, thereby realizing the targeted evaluation of different functional sensors, ensuring the accuracy of key wavelength detection, optimizing the detection effect of auxiliary wavelengths, and improving the performance and reliability of the overall detection system.

[0039] Optionally, according to the short-term performance change and the initial calibration parameter, the calibration parameter is adjusted in real time, specifically including the following steps:

[0040] According to the signal strength change index of the main photosensitive sensor, the luminous intensity of the corresponding LED light source and the gain parameter of the main photosensitive sensor are adjusted;

[0041] According to the signal-to-noise ratio change index of the auxiliary photosensitive sensor, the filter parameter and the threshold setting of the auxiliary photosensitive sensor are adjusted;

[0042] The adjustment results of the main photosensitive sensor and the auxiliary photosensitive sensor are integrated to generate a comprehensive calibration parameter.

[0043] By adopting the technical scheme, the present application first adjusts the luminous intensity of the corresponding LED light source and the gain parameter of the sensor according to the signal strength change index of the main photosensitive sensor to ensure the detection accuracy of the key wavelengths; then the filter parameter and the threshold setting of the auxiliary photosensitive sensor are adjusted based on the signal-to-noise ratio change index to optimize the background correction effect; finally, the adjustment results of the main sensor and the auxiliary sensor are integrated to generate a comprehensive calibration parameter, thereby realizing the optimization of the overall system; the targeted calibration of different types of sensors is realized, and the stability and reliability of the entire detection system are enhanced.

[0044] Optionally, the processor is further configured to:

[0045] During the detection process, the working parameters of the spectral analysis system are adjusted in real time according to the adjusted calibration parameter;

[0046] Based on the adjusted working parameters, multiple sampling and analysis of the test line and the control line are performed;

[0047] Based on the results of multiple sampling analyses, the final human chorionic gonadotropin level and estimated gestational age were calculated.

[0048] By adopting the above technical solution, traditional early pregnancy test equipment cannot adapt to various changes and interferences that may occur during the testing process. For example, the water absorption rate of the test strip may vary due to the ambient temperature or humidity, resulting in inconsistent color development time and intensity between the test line and the control line. During the testing process, the present application adjusts the operating parameters of the spectral analysis system in real time according to the latest calibration parameters provided by the dynamic calibration parameter adjustment module. Based on the adjusted operating parameters, multiple sampling and analysis are performed on the test line and the control line to capture the dynamic changes in hCG levels. Finally, based on the results of the multiple sampling and analysis, the final hCG level is comprehensively calculated and the gestational age is estimated. This realizes real-time optimization and dynamic adjustment of the testing process, which can not only adapt to different samples and environmental conditions, but also improve the reliability of the results through multiple sampling.

[0049] Optionally, a power supply unit is also included to supply power to the various components of the electronic pregnancy test stick.

[0050] By adopting the above technical solution, the integrated power supply unit realizes the complete portability and independence of the equipment, and the user can conveniently perform testing at any time and place.

[0051] Optionally, a communication module is also included for transmitting the detection results to an external device.

[0052] By adopting the above technical solution, the communication module not only makes the visualization of test results more intuitive, but also realizes long-term storage, trend analysis and remote sharing of data, improving user experience and medical value.

[0053] In summary, this application includes at least one of the following beneficial technical effects:

[0054] 1. Traditional methods often lead to inaccurate or unstable test results due to factors such as lighting conditions, user subjective judgment, and environmental temperature changes. For example, in low-light environments, weak test lines may be misjudged as negative results. In high-temperature environments, the rate of immunochromatographic reaction may accelerate, affecting the accuracy of the results. The present application first uses an LED light source to irradiate the reagent strip, and receives the reflected light through the corresponding photosensitive sensor. Then, a temperature sensor is used to monitor the temperature of the reagent strip in real time. The processor compensates and corrects the photosensitive signal based on the temperature data, and calculates the human chorionic gonadotropin level by analyzing the corrected spectral data. Finally, based on the calculation result, the gestational age is estimated and presented on the display unit. This not only improves the accuracy and reliability of the detection, but also actively compensates for environmental factors, while providing quantitative results and accurate gestational age estimation through spectral analysis.

[0055] 2. Traditional electronic detection devices usually use LED light sources with fixed luminous intensity. However, the luminous efficiency of LEDs changes with temperature. For example, in high-temperature environments, the luminous efficiency of LEDs decreases, which may cause the signal intensity of the test line to weaken, affecting the accuracy of the detection. In low-temperature environments, the luminous efficiency of LEDs increases, which may cause signal saturation and reduce the sensitivity of the detection. The present application adjusts the luminous intensity of the LEDs based on temperature data, achieving dynamic adjustment of the intensity of the LED light source, ensuring the consistency and stability of the signal in different temperature environments, and improving the accuracy and reliability of the detection results.

[0056] 3. Traditional electronic detection devices usually rely on fixed calibration parameters and cannot adapt to real-time performance changes of the device. For example, due to production batch differences, the initial performance of LEDs and photosensitive sensors may differ between different devices. During use, factors such as temperature changes and device aging may cause short-term performance drift, which will affect the accuracy and consistency of the detection. The present application first uses pre-set batch calibration parameters as initial values. Then, data at multiple time points is continuously collected during a single detection process to evaluate the short-term performance changes of each photosensitive sensor. Based on these short-term changes and the initial calibration parameters, the calibration parameters are calculated and adjusted in real time. Finally, the adjusted parameters are applied to the spectral analysis system to optimize the detection results. This realizes real-time adaptive calibration of the detection system, not only solving the batch difference problem, but also dynamically compensating for performance drift during use, significantly improving the accuracy, stability, and consistency of the detection results. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 is a module schematic diagram of an electronic early pregnancy detection stick according to an embodiment of the present application;

[0058] Figure 2 is a method flowchart executed by the processor in an electronic early pregnancy detection stick according to an embodiment of the present application;

[0059] Figure 3 is a method flowchart diagram executed by a processor in an electronic early pregnancy detection stick according to an embodiment of the present application;

[0060] Figure 4 is a method flowchart diagram executed by a processor in an electronic early pregnancy detection stick according to an embodiment of the present application;

[0061] Figure 5 is a method flowchart diagram executed by a processor in an electronic early pregnancy detection stick according to an embodiment of the present application;

[0062] Figure 6 is a method flowchart diagram executed by a processor in an electronic early pregnancy detection stick according to an embodiment of the present application;

[0063] Figure 7 is a method flowchart diagram executed by a processor in an electronic early pregnancy detection stick according to an embodiment of the present application. DETAILED DESCRIPTION

[0064] The terminology used in the following embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used in the specification and the appended claims, the singular forms "a," "an" and "the" are intended to include both singular and plural forms, unless the context clearly indicates otherwise. It will be further understood that the terms "and / or," as used in the specification and in the claims, is used to mean "one or the other or both" unless otherwise indicated.

[0065] Hereinafter, the terms "first", "second", etc. are used only for the purpose of description and should not be understood as implying or indicating relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first", "second", etc. can explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified.

[0066] The embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

[0067] Embodiment 1

[0068] The present application provides an electronic early pregnancy detection stick, referring to Figure 1 , comprising a reagent strip, a spectral analysis system, a temperature sensor, a processor and a display unit.

[0069] The reagent strip is used to receive the urine sample to be tested and perform an immunochromatographic reaction. The reagent strip uses high-sensitivity immunochromatographic technology to quickly capture human chorionic gonadotropin (hCG) in the sample. The reagent strip is provided with a test line (T line) and a control line (C line).

[0070] The spectral analysis system is the core part of the detector, including an LED light source and a photosensitive sensor corresponding thereto. Specifically, the embodiment adopts a D2D4 light source configuration, including two LEDs of different wavelengths. D2 is used for excitation and detection of the T line, and D4 is used for excitation and detection of the C line. The photosensitive sensor corresponds to the LED light source, and adopts two photosensitive receivers D1 and D3. D1 mainly receives light reflected from the T line, and D3 mainly receives light reflected from the C line.

[0071] A temperature sensor is installed near the reagent strip to monitor the temperature change of the reagent strip in real time and provide a basis for data correction.

[0072] The MCU main control chip U1 serves as a processor and is electrically connected with the spectral analysis system, the temperature sensor, and the LED display screen. Referring to Figure 2 , the main functions of the processor include the following steps:

[0073] S210, receiving and processing signal data from the photosensitive sensor.

[0074] S220, receiving and processing temperature data from the temperature sensor.

[0075] S230, temperature compensation correction of the signal data based on the temperature data.

[0076] S240, analyzing the color and intensity of the test line and the control line based on the corrected signal data, and calculating the human chorionic gonadotropin level.

[0077] S250, estimating the gestational age based on the human chorionic gonadotropin level.

[0078] In the embodiment, the display unit is an LED display screen electrically connected with the processor, for displaying the estimated gestational age and / or hCG level.

[0079] The power supply unit, i.e., the battery, is used to power each component of the detection stick to ensure stable operation of the entire system.

[0080] The communication module is used to transmit the detection result to an external device.

[0081] The buzzer is used to provide sound prompts to enhance user experience.

[0082] The switch key is used in combination with the reagent card insertion mechanism to realize automatic boot function.

[0083] In order to ensure the accuracy and reliability of the test results, this embodiment also includes a voltage and current stabilization module, which provides a stable operating current for the LED light sources D2 and D4 through a high-precision current detection circuit and a feedback control loop, and the current fluctuation is controlled within ±1%. At the same time, a temperature compensation mechanism is integrated to automatically adjust the driving parameters according to the real-time data of the temperature sensor to ensure that the luminous intensity of the LED light source remains constant within the operating temperature range of -10°C to 40°C. In addition, the module also has overcurrent protection and short-circuit protection functions, which can quickly cut off the power supply under abnormal circumstances, with a response time of less than 1ms, effectively protecting the LED light source and other circuit components. Through the application of the voltage and current stabilization module, the stability of the light intensity is significantly improved, ensuring the accuracy and repeatability of the test results during long-term use, while extending the service life of the LED light source.

[0084] The workflow of this embodiment is as follows: the user drips a urine sample onto a test strip, inserts a test card, and triggers switch S1 to start the test process. The MCU main control chip U1 activates LED light sources D2 and D4, illuminating the T and C lines on the test strip, respectively. Light sensor D1 receives the reflected light from the T line, and D3 receives the reflected light from the C line, and transmits the signal to the MCU main control chip U1. The temperature sensor simultaneously detects the temperature of the test strip and transmits the temperature data to the MCU main control chip U1. The MCU main control chip U1 performs temperature compensation correction on the signal data based on the temperature data, analyzes the corrected signal data, calculates the hCG level, estimates the gestational age, and then transmits the result to the LED display, which displays the estimated gestational age and / or hCG level. The buzzer BAT emits a sound prompt to inform the user that the test is complete.

[0085] Specifically, the test results are divided into 5 types: not pregnant (NO), 3-7 days pregnant (0.5-1W), 1-2 weeks pregnant (1-2W), 2-3 weeks pregnant (2-3W), and 3+ weeks pregnant (3+W).

[0086] Example 2

[0087] In one embodiment, referring to Figure 3 This embodiment provides an improved electronic pregnancy test stick. Based on the first embodiment, a storage unit is added. The storage unit is electrically connected to the processor (MCU main control chip U1) and is used to store calibration algorithm parameters and historical test data. The processor's functionality is expanded, and the processor also includes the following steps:

[0088] S310 , obtaining correction algorithm parameters, and performing temperature compensation correction on the signal data according to the correction algorithm parameters.

[0089] Specifically, the processor adds the following functions on the basis of Embodiment 1: the processor reads correction algorithm parameters for different batches of reagent strips and temperature ranges from the storage unit. These parameters are obtained in advance through a large number of experiments and data analysis, and can adapt to the characteristic differences of different batches of reagent strips and complex environmental changes. During the detection process, the processor retrieves the corresponding correction algorithm parameters from the storage unit according to the current detection temperature data, and accurately compensates and corrects the signal data of the photosensitive sensors D1 and D3.

[0090] S320, acquire historical detection data, and analyze the change trend of human chorionic gonadotropin level based on the current detection data and the historical detection data.

[0091] Specifically, the processor is configured to access the historical detection data in the storage unit, and analyze the change trend of hCG level in combination with the current detection data. The specific steps are as follows: after each detection is completed, the detection result is stored in the storage unit; when a new detection is performed, the processor reads the stored historical data; a statistical analysis algorithm is used to calculate the change trend of hCG level in combination with the current detection data and the historical data; and according to the analysis result, it is judged whether the hCG level presents an upward, stable or downward trend.

[0092] S330, acquire temperature data, and adjust the light intensity of the LED light source based on the temperature data.

[0093] Specifically, the processor dynamically adjusts the light intensity of the LED light sources D2 and D4 according to the temperature data provided by the temperature sensor. Since the light-emitting efficiency of the LED will change with temperature. In a high-temperature environment, the light-emitting efficiency of the LED decreases; in a low-temperature environment, the light-emitting efficiency of the LED increases. Therefore, the processor calculates the optimal LED light intensity according to the current temperature, refers to the preset temperature-light intensity corresponding relationship, and realizes accurate control of the light intensity by adjusting the power supply current or pulse width modulation (PWM) of the LED.

[0094] The workflow of this embodiment is that the user drops the urine sample on the reagent strip, inserts the reagent card, triggers the switch button S1, and starts the detection process. The temperature sensor immediately detects the ambient temperature and transmits the temperature data to the MCU main control chip U1. The MCU main control chip U1 reads the corresponding correction algorithm parameters from the storage unit according to the temperature data. At the same time, it adjusts the luminous intensity of the LED light sources D2 and D4 according to the temperature data, and activates the LED light sources. The photosensitive sensor D1 receives the T-line reflected light, and D3 receives the C-line reflected light, and transmits the signals to the MCU main control chip U1. The MCU main control chip U1 uses the read correction algorithm parameters to accurately correct the signal data, analyzes the corrected signal data, calculates the hCG level, reads the historical detection data from the storage unit (if any), combines the current detection data and the historical detection data, analyzes the change trend of the hCG level, estimates the gestational age, and then transmits the results to the LED display screen to display the estimated gestational age, hCG level and change trend. The buzzer BAT emits a sound prompt to inform the user that the detection is complete. Then the MCU main control chip U1 stores the current detection data in the storage unit for future analysis.

[0095] The detection results show that in addition to the 5 results mentioned in Example 1 (not pregnant, 3-7 days pregnant, 1-2 weeks pregnant, 2-3 weeks pregnant, 3+ weeks pregnant), this embodiment also adds the display of the hCG level change trend, such as "rising", "stable", "falling".

[0096] Example 3

[0097] In one embodiment, based on Example 1 or Example 2, with reference to Figure 4 This embodiment provides a further improved electronic early pregnancy detection stick. Based on the previous two embodiments, multiple light sources of different wavelengths are used, and dynamic calibration and real-time optimization functions are added. The processor (MCU main control chip U1) is configured to perform the following steps in addition to the functions in the previous two embodiments:

[0098] S410, obtaining a preset batch calibration parameter as an initial calibration parameter for each LED light source and each photosensitive sensor.

[0099] Specifically, the processor reads the pre-set batch calibration parameters from the storage unit. These parameters are obtained based on production batch testing and are used to initialize the working parameters of each LED light source and photosensitive sensor.

[0100] S420, obtaining detection data at multiple time points in a single detection process, and evaluating the short-term performance change of each photosensitive sensor according to the detection data.

[0101] In this embodiment, the system collects data every 5 seconds during the detection process, and collects data at 30 time points in total. For each photosensitive sensor, the system calculates the mean, variance and peak-valley ratio of the signal intensity at the 30 time points. For example, if the mean of the signal intensity of the main photosensitive sensor is found to gradually decrease, or the variance gradually increases, it may indicate that the performance of the sensor fluctuates.

[0102] S430, real-time adjustment of the calibration parameters according to the short-term performance change and the initial calibration parameters.

[0103] In this embodiment, the system uses a fuzzy logic control algorithm to realize real-time adjustment of the calibration parameters. For example, if the mean of the signal intensity of the main photosensitive sensor is found to decrease by 10%, the system increases the luminous intensity of the LED light source by 8% and increases the gain parameter of the sensor by 5%. For the auxiliary photosensitive sensor, if the peak-valley ratio is found to decrease, the system adjusts the cutoff frequency of the digital filter or changes the sampling rate.

[0104] S440, applying the adjusted calibration parameters to the spectral analysis system to optimize the detection results.

[0105] In one embodiment, with reference to Figure 5 In step S420, the short-term performance change of each photosensitive sensor is evaluated according to the detection data, which includes the following steps:

[0106] S510, classifying the photosensitive sensors into main photosensitive sensors and auxiliary photosensitive sensors according to the received light wavelengths of each photosensitive sensor.

[0107] In this embodiment, the LED light source includes multiple light sources of different wavelengths, which are classified into main light sources and auxiliary light sources, and the photosensitive sensors are classified into main photosensitive sensors and auxiliary photosensitive sensors.

[0108] S520, calculating the signal intensity change indicator of the main photosensitive sensor and the signal-to-noise ratio change indicator of the auxiliary photosensitive sensor, respectively, according to the detection data at multiple time points.

[0109] Specifically, data is collected at a fixed time interval during the detection process, and data at multiple time points is collected in total.

[0110] The signal intensity change indicator is calculated for the main photosensitive sensor. The specific method is: calculating the mean, standard deviation and coefficient of variation of the signal intensity at 20 time points; for the auxiliary photosensitive sensor, the signal-to-noise ratio change indicator is calculated. The specific method is: calculating the mean, standard deviation and coefficient of variation of the signal-to-noise ratio at 20 time points.

[0111] S530, according to the signal strength change index and the signal-to-noise ratio change index, evaluating the short-term performance change of each photosensitive sensor.

[0112] In one embodiment, referring to Figure 6 , in step S430, the calibration parameters are adjusted in real time according to the short-term performance change and the initial calibration parameters, specifically including the following steps:

[0113] S610, according to the signal strength change index of the main photosensitive sensor, adjusting the light intensity of the corresponding LED light source and the gain parameter of the main photosensitive sensor.

[0114] Specifically, when the signal strength is detected to decrease, the system increases the light intensity of the LED light source to provide stronger light signal input; at the same time, the gain parameter of the main photosensitive sensor is improved to enhance its ability to capture weak signals.

[0115] S620, according to the signal-to-noise ratio change index of the auxiliary photosensitive sensor, adjusting the filter parameter and threshold setting of the auxiliary photosensitive sensor.

[0116] Specifically, when the signal-to-noise ratio is detected to decrease, the system adjusts the filter parameter, such as increasing the order of the filter or changing the filter algorithm, at the same time, the system adjusts the threshold setting to improve the accuracy of signal judgment.

[0117] S630, integrating the adjustment results of the main photosensitive sensor and the auxiliary photosensitive sensor to generate comprehensive calibration parameters.

[0118] Specifically, the system assigns different weights according to the importance and reliability of the main sensor and the auxiliary sensor, and then obtains the final comprehensive calibration parameters through a specific calculation formula.

[0119] Further, referring to Figure 7 , the processor is further configured to:

[0120] S710, during the detection process, adjusting the working parameters of the spectral analysis system in real time according to the adjusted calibration parameters.

[0121] Specifically, the processor modifies the light intensity of the light source, the gain of the photosensitive sensor, the parameters of the signal processing algorithm, etc. according to the adjusted calibration parameters. For example, if the calibration parameters show that the ambient light changes, the processor may adjust the brightness of the LED light source accordingly; if the signal strength is detected to decrease, the sensitivity of the photosensitive sensor may be improved.

[0122] S720, based on the adjusted working parameters, performing multiple sampling analyses on the detection line and the control line.

[0123] Specifically, the processor pre-sets a sampling number, such as 10 or 20, and repeatedly measures the detection line and the control line. Each measurement uses the latest adjusted working parameters to ensure the accuracy of the measurement.

[0124] S730, according to the results of multiple sampling analysis, calculate the final human chorionic gonadotropin level and estimate the gestational age.

[0125] Specifically, the processor detects outliers in the multiple sampling data and eliminates possible error data. Then, the average, median or other statistical methods are used to integrate the results of multiple measurements to obtain the final hCG level. Based on this level, a pre-established control table is queried or a specific algorithm is used to estimate the gestational age.

[0126] Through this, in the detection process, the application adjusts the working parameters of the spectral analysis system in real time according to the latest calibration parameters provided by the dynamic calibration parameter adjustment module, and based on the adjusted working parameters, the detection line and the control line are analyzed by multiple sampling to capture the dynamic changes of the hCG level. Finally, according to the results of multiple sampling analysis, the final hCG level is calculated and the gestational age is estimated. Real-time optimization and dynamic adjustment of the detection process are realized, which can adapt to different samples and environmental conditions, and can also improve the reliability of the results through multiple sampling.

[0127] It should be understood that the size of the serial number of each step in the above embodiment does not mean the order of execution, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the application.

[0128] The above are the preferred embodiments of the application, and do not limit the protection scope of the application, so: any equivalent changes made according to the structure, shape, principle of the application should be covered within the protection scope of the application.

Claims

1. An electronic pregnancy test stick, characterized in that: include: Reagent strips, used to receive samples to be tested and perform immunochromatographic reactions; Spectral analysis system, including: An LED light source is used to illuminate the test line and the control line on the reagent strip; a light-sensitive sensor corresponding to the LED light source, configured to receive light of different wavelengths reflected from the test line and the control line; a temperature sensor, used to detect the temperature of the reagent strip; A processor is electrically connected to the spectral analysis system and the temperature sensor, and the processor is configured to: receiving and processing signal data from the light-sensitive sensor; receiving and processing temperature data from the temperature sensor; performing temperature compensation correction on the signal data based on the temperature data; Based on the corrected signal data, the color and intensity of the test line and the control line are analyzed, and the human chorionic gonadotropin level is calculated; Based on the human chorionic gonadotropin level, the gestational age was estimated; a display unit electrically connected to the processor and configured to display the estimated gestational age and / or human chorionic gonadotropin level; The processor is further configured to: Obtaining preset batch calibration parameters as initial calibration parameters for each LED light source and each photosensor; Acquire detection data at multiple time points during a single detection process, and evaluate short-term performance changes of each photosensor based on the detection data; adjusting calibration parameters in real time according to the short-term performance change and the initial calibration parameters; Applying the adjusted calibration parameters to the spectral analysis system to optimize the detection results; The method of evaluating the short-term performance change of each photosensor based on the detection data specifically includes the following steps: According to the wavelength of light received by each photosensor, the photosensors are classified into main photosensors and auxiliary photosensors; Calculating the signal strength change index of the main photosensor and the signal-to-noise ratio change index of the auxiliary photosensor respectively according to the detection data at the multiple time points; Evaluate the short-term performance change of each photosensor according to the signal strength change index and the signal-to-noise ratio change index; The step of adjusting the calibration parameters in real time according to the short-term performance change and the initial calibration parameters specifically includes the following steps: Adjusting the luminous intensity of the corresponding LED light source and the gain parameter of the main photosensor according to the signal strength change index of the main photosensor; adjusting the filter parameters and threshold settings of the auxiliary light-sensitive sensor according to a signal-to-noise ratio change index of the auxiliary light-sensitive sensor; The adjustment results of the main photosensor and the auxiliary photosensor are integrated to generate comprehensive calibration parameters.

2. The electronic pregnancy test stick according to claim 1, characterized in that: It also includes a storage unit, which is electrically connected to the processor and is used to store correction algorithm parameters. The processor performs temperature compensation correction on the signal data according to the correction algorithm parameters.

3. The electronic pregnancy test stick according to claim 2, characterized in that: The storage unit is further configured to store historical detection data, and the processor is further configured to: Analyze the changing trend of human chorionic gonadotropin levels based on current and historical test data.

4. The electronic pregnancy test stick according to claim 1, characterized in that: The processor is further configured to: The luminous intensity of the LED light source is adjusted based on the temperature data.

5. The electronic pregnancy test stick according to claim 1, characterized in that: The processor is further configured to: During the detection process, the operating parameters of the spectrum analysis system are adjusted in real time according to the adjusted calibration parameters; Based on the adjusted working parameters, multiple sampling and analysis of the test line and the control line are performed; Based on the results of multiple sampling analyses, the final human chorionic gonadotropin level and estimated gestational age were calculated.

6. The electronic pregnancy test stick according to claim 1, characterized in that: It also includes a power supply unit for supplying power to various components of the electronic pregnancy test stick.

7. The electronic pregnancy test stick according to claim 1, characterized in that: It also includes a communication module for transmitting the detection results to an external device.

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