Biomarker detection method and device, detection equipment and storage medium

Abstract

The embodiment of the invention relates to the field of biomedical measurement, and discloses a biomarker detection method and device, detection equipment and a storage medium, and the method comprises the steps: determining whether the use state of the detection equipment meets a preset calibration condition or not; if yes, the current temperature compensation function is calibrated according to the deviation degree between the concentration detection result of the biomarker with the standard concentration by the detection equipment and the real concentration, and the detection results of the detection equipment are all the results obtained after compensation is conducted through the temperature compensation function; the temperature compensation function corresponds to different compensation factors under different temperature anchor points; and based on the current temperature, compensating the detection result of the to-be-detected biomarker by using the calibrated temperature compensation function to obtain a final detection result. The problem that the reliability of a measurement result is reduced due to the fact that parameters of a temperature compensation model are fixed and are difficult to match with the working state of current detection equipment is solved, and the detection precision is improved.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the field of biomedical measurement, and particularly relate to a biomarker detection method and device, a detection apparatus, and a storage medium. BACKGROUND

[0002] Biomarker detection has a core value in early diagnosis, treatment monitoring and prognosis evaluation, and its accuracy directly affects the reliability of clinical decision-making. However, the ambient temperature during the detection process will significantly interfere with the chemical activity of the biomarker and the performance parameters of the detection equipment, causing the detection result to deviate from the true value. Therefore, it needs to be corrected by a temperature compensation model. Usually, the manufacturer of the detection equipment will provide a standard temperature compensation model when it is shipped, to correct the influence of the ambient temperature on the detection result.

[0003] However, during use, sensor drift accumulates over time, causing errors to gradually expand. The temperature compensation model parameters are fixed, and it is difficult to match the current working state of the detection equipment, resulting in reduced reliability of the measurement results. SUMMARY

[0004] The purpose of the present application is to at least provide a biomarker detection method, device, detection apparatus and storage medium, which can at least solve the technical problem that the temperature compensation model parameters are fixed and difficult to match the current working state of the detection equipment, resulting in reduced reliability of the measurement results, and at least achieve the effect of improving the measurement accuracy of the detection equipment.

[0005] To solve the above technical problems, at least one embodiment of the present application provides a biomarker detection method, comprising: confirming whether the use state of the detection equipment meets a preset calibration condition; when the calibration condition is met, calibrating a current temperature compensation function according to the deviation degree of the concentration detection result of the detection equipment from the true concentration of a standard concentration of biomarker, wherein the detection result of the detection equipment is a result compensated by the temperature compensation function, and the temperature compensation function corresponds to different compensation factors under different temperature anchors; based on the current temperature, compensating the detection result of the to-be-detected biomarker by using the calibrated temperature compensation function to obtain a final detection result.

[0006] At least one embodiment of the present application also provides a biomarker detection device, comprising: a calibration condition confirmation module configured to confirm whether the use state of the detection equipment meets a preset calibration condition; a calibration module configured to calibrate the current temperature compensation function according to a deviation degree of a concentration detection result of the detection device from a true concentration of a standard concentration of the biomarker when the calibration condition is met, wherein the detection result of the detection device is compensated by using the temperature compensation function, and the temperature compensation function corresponds to different compensation factors at different temperature anchors; a compensation module configured to compensate a detection result of the to-be-detected biomarker by using the calibrated temperature compensation function based on a current temperature to obtain a final detection result.

[0007] At least one embodiment of the present application further provides a detection device, comprising: at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the biomarker detection method described above.

[0008] At least one embodiment of the present application further provides a computer readable storage medium storing a computer program, and the computer program is executed by a processor to implement the biomarker detection method described above.

[0009] The biomarker detection method, device, detection device and storage medium provided by the embodiments of the present application can confirm whether the use state of the detection device meets the preset calibration condition, and only when the device is in a suitable state, subsequent operations are performed, so as to avoid detection errors caused by device abnormalities (such as component aging, initial setting errors, etc.), and the reliability of detection data is ensured from the source. Since temperature can affect the performance and detection result of the detection device, the influence degree is different at different temperatures. By calibrating the current temperature compensation function according to the deviation degree of the concentration detection result of the detection device from the true concentration of the standard concentration of the biomarker, the corresponding compensation factors at different temperature anchors can be determined more accurately, the temperature compensation function is more suitable for the actual situation, the detection error caused by the temperature factor is effectively reduced, and the closeness between the detection result and the true value is improved. Based on the current temperature, the detection result of the to-be-detected biomarker is compensated by using the calibrated temperature compensation function, the detection deviation caused by the temperature is further corrected, and finally a more accurate detection result is obtained, which provides a reliable basis for subsequent medical diagnosis, biological research, etc.

[0010] In some optional embodiments, the calibration of the current temperature compensation function according to the deviation degree of the concentration detection result of the detection device from the true concentration of the standard concentration of the biomarker comprises: determining an update amplitude limitation coefficient of the current temperature compensation function based on the deviation degree. Based on the update amplitude limitation coefficient and the current temperature, a compensation factor corresponding to at least one temperature anchor point of the current temperature compensation function is calibrated to obtain a calibrated temperature compensation function to reduce the detection error.

[0011] In the embodiment, the update amplitude limitation coefficient of the current temperature compensation function is determined, which can effectively prevent excessive calibration due to a large deviation. Based on the update amplitude limitation coefficient and the current temperature, the compensation factor corresponding to at least one temperature anchor point of the temperature compensation function is calibrated, which can accurately adjust to the temperature of the current detection environment. By selecting the compensation factor corresponding to at least one temperature anchor point for calibration instead of uniformly adjusting all temperature points, the calibration resources can be more efficiently utilized. In actual application, some temperature anchor points may have a more critical impact on the detection result, and preferentially calibrating the compensation factor of these key temperature points can achieve a greater detection error reduction effect with a smaller adjustment amount, thereby improving the efficiency and effectiveness of calibration.

[0012] In some optional embodiments, the calibration of the compensation factor corresponding to at least one temperature anchor point of the current temperature compensation function based on the update amplitude limitation coefficient and the current temperature comprises: If the current temperature is different from the temperature anchor point, a first temperature anchor point and a second temperature anchor point adjacent to the current temperature are determined, and a first influence weight of the current temperature on the first temperature anchor point and a second influence weight of the current temperature on the second temperature anchor point are determined according to the difference between the current temperature and the first temperature anchor point and the second temperature anchor point; The compensation factor of the first temperature anchor point is calibrated according to the update amplitude limitation coefficient and the first temperature anchor point, and the compensation factor of the second temperature anchor point is calibrated according to the update amplitude limitation coefficient and the second temperature anchor point.

[0013] In the embodiment, the influence of temperature on the performance of the detection device and the detection result is usually continuous and gradual, and the compensation corresponding to the adjacent temperature anchor points is closer to the actual situation under the current temperature, so calibration based thereon can more accurately reflect the compensation demand under the current temperature. According to the difference between the current temperature and the first and second temperature anchor points, the first and second influence weights of the current temperature on the two anchor points are determined, which can more accurately quantify the influence of different temperature anchor points on the current temperature detection result, thereby more accurately calibrating the compensation factor of the corresponding anchor point. At the same time, the update amplitude limitation coefficient is introduced to calibrate the compensation factors of the first and second temperature anchor points, which can effectively prevent extreme adjustment due to a large deviation.

[0014] In some optional embodiments, the method further comprises: Smooth the calibrated temperature compensation function.

[0015] In this embodiment, the relationship between temperature and compensation factor is generally continuous and gradual. The smoothing process can better fit this continuous relationship, ensuring that the change of the compensation factor between adjacent temperature points is reasonable and gradual. This can avoid the situation of overcompensation or undercompensation at certain temperatures due to the discontinuity or mutation of the compensation function, further improving the accuracy of the detection results.

[0016] In some optional embodiments, the step of determining the update amplitude limiting coefficient of the current temperature compensation function on the basis of the degree of deviation comprises: calculating the relative error between the concentration detection result of the detection device for the standard concentration of the biomarker and the true concentration; obtaining a tentative update coefficient according to the product of the relative error and a preset sensitivity coefficient; amplitude limiting processing on the tentative update coefficient to obtain the update amplitude limiting coefficient.

[0017] In this embodiment, the relative error can more accurately reflect the accuracy of the detection, providing a reliable basis for subsequent determination of the update amplitude; the tentative update coefficient is obtained according to the product of the relative error and the preset sensitivity coefficient, which combines the detection deviation and the sensitivity coefficient to more reasonably determine the update amplitude of the temperature compensation function, so that the calibration process can be more accurately adjusted according to the detection deviation, improving the accuracy of the calibration.

[0018] In some optional embodiments, the method further comprises: uploading the calibration log to a preset learning model in a server, so that the learning model dynamically adjusts the sensitivity coefficient according to the calibration log data.

[0019] In this embodiment, the learning model can deeply understand the error pattern and variation law of a specific device by analyzing the data in the calibration log, so as to dynamically adjust the sensitivity coefficient, so that the temperature compensation function can more accurately fit the actual characteristics of the device.

[0020] In some optional embodiments, the step of confirming whether the use state of the detection device meets the preset calibration condition comprises at least one of the following: the preset periodic calibration is due; the user actively performs a calibration operation based on the standard concentration of the biomarker; the detection device determines that the background current drift exceeds a threshold value during self-checking after startup; stable and same-direction deviation occurs for n consecutive times under the same temperature zone.

[0021] In this embodiment, different detection scenarios and conditions have different performance requirements for the detection device. By meeting various calibration conditions for calibration, the device can better adapt to various complex environments and working conditions. BRIEF DESCRIPTION OF DRAWINGS

[0022] One or more embodiments are illustrated by way of example in the drawings in which:

[0023] Figure 1 is a flowchart of a biomarker detection method provided by an embodiment of the present application; Figure 2 is a schematic diagram of a biomarker detection device provided by another embodiment of the present application. DETAILED DESCRIPTION

[0024] To make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the embodiments of the present application will be described in detail below with reference to the drawings. However, those skilled in the art can understand that in the embodiments of the present application, many technical details are proposed in order to make the readers better understand the present application. However, the technical solutions claimed by the present application can be implemented even without these technical details and various changes and modifications based on the following embodiments. The division of the following embodiments is for the convenience of description and should not constitute any limitation on the specific implementation of the present application. The embodiments can be combined and referenced with each other without contradiction.

[0025] To solve the technical problems of the above-mentioned temperature compensation model parameter fixation, difficulty in matching the current detection device working state, and resulting in reduced reliability of measurement results, the present application proposes a biomarker detection method. The implementation details of the biomarker detection method of the present embodiment will be described in detail below. The following content only provides implementation details for easy understanding and is not essential for implementing the present solution.

[0026] Embodiment one: The biomarker detection method of the present embodiment can be applied to electronic devices with communication, computing and data storage capabilities. Its specific process can be as shown in Figure 1 , including: Step 110, confirming whether the use state of the detection device meets the preset calibration condition; In this embodiment, if the device state is not good, such as hardware failure, sensor aging, environmental interference and other problems, the detection result may have a large deviation. Therefore, when the biological marker to be detected is detected, first confirm whether the state of the detection device meets the use standard. For example, check whether the sensor is damaged, loose or contaminated, whether the circuit board has a short circuit or open circuit phenomenon, or evaluate whether the environmental conditions of the detection device meet the requirements, etc.

[0027] Step 120, when the calibration condition is met, calibrate the current temperature compensation function according to the deviation degree of the concentration detection result of the standard concentration of the biological marker from the true concentration of the detection device, wherein the detection result of the detection device is the result compensated by the temperature compensation function, and the temperature compensation function corresponds to different compensation factors at different temperature anchor points; In this embodiment, the temperature compensation function describes the relationship between the detection result and the temperature. For example, when leaving the factory, the manufacturer measures the compensation factor at the corresponding temperature anchor point at the anchor temperature set = { , , …, } through experiments. The detection device adjusts the compensation factor continuously in use to make the temperature compensation function more consistent with the current device state, so that the compensated detection result is closer to the true value.

[0028] Specifically, a biological marker sample with a known accurate concentration is selected as a calibration standard, and the detection device is used to detect the standard concentration of the biological marker, and the concentration detection result at the current temperature is recorded. Compare the concentration detection result with the true value of the standard concentration to calculate the deviation degree. The deviation degree can be represented by absolute deviation (the difference between the detection result and the true value) or relative deviation (the ratio of the absolute deviation to the true value). According to the calculated deviation degree, the current temperature compensation function is calibrated.

[0029] Step 130, based on the current temperature, the detection result of the biological marker to be detected is compensated by using the calibrated temperature compensation function to obtain the final detection result.

[0030] In this embodiment, the calibrated temperature compensation function can more accurately reflect the influence of temperature on the detection result. Using this function to compensate the detection result of the biomarker to be detected can obtain more reliable final detection result. For example, when detecting biomarkers in urine or blood samples, the current temperature is measured synchronously, and the measured current temperature is substituted into the calibrated temperature compensation function formula to calculate the compensation factor. For example, if the current temperature is 32°C, the compensation factor is calculated to be 0.98 according to the calibrated function. Assuming that the original detection result of the biomarker to be detected is 60 ng / mL, the original detection result is multiplied by the compensation factor 0.98 to obtain the compensated detection result of 60x0.98 = 58.8 ng / mL, which is the final detection result.

[0031] In summary, in this embodiment, by confirming whether the use state of the detection equipment meets the preset calibration condition, only when the equipment is in a suitable state, the subsequent operation is performed, which avoids the detection error caused by the abnormality of the equipment itself (such as component aging, initial setting error, etc.), and guarantees the reliability of the detection data from the source; since temperature will affect the performance of the detection equipment and the detection result, the influence degree is different at different temperatures. By calibrating the current temperature compensation function according to the deviation degree of the concentration detection result of the standard concentration biomarker of the detection equipment from the true concentration, the corresponding compensation factor at different temperature anchor points can be more accurately determined, the temperature compensation function is more suitable for the actual situation, the detection error caused by the temperature factor is effectively reduced, and the closeness between the detection result and the true value is improved. Based on the current temperature, the detection result of the biomarker to be detected is compensated by using the calibrated temperature compensation function, which further corrects the detection deviation caused by temperature, and finally obtains more accurate detection result, which provides reliable basis for subsequent medical diagnosis, biological research, etc.

[0032] In some optional embodiments, the calibration of the current temperature compensation function according to the deviation degree of the concentration detection result of the standard concentration biomarker of the detection equipment from the true concentration includes: determining an update amplitude limitation coefficient of the current temperature compensation function on the basis of the deviation degree; and calibrating the compensation factor corresponding to at least one temperature anchor point of the current temperature compensation function based on the update amplitude limitation coefficient and the current temperature, so as to obtain the calibrated temperature compensation function to reduce the detection error.

[0033] In the embodiment, the update amplitude limiting coefficient of the current temperature compensation function is determined, which can effectively prevent excessive calibration due to a large deviation degree. Based on the update amplitude limiting coefficient and the current temperature, the compensation factor corresponding to at least one temperature anchor point of the temperature compensation function is calibrated, which can accurately adjust the temperature of the current detection environment. Selecting the compensation factor corresponding to at least one temperature anchor point for calibration instead of uniformly adjusting all temperature points can more efficiently utilize calibration resources. In actual applications, some temperature anchor points may have a more critical impact on the detection result. Prioritizing the calibration of the compensation factor of these key temperature points can achieve a greater reduction in detection error with a smaller adjustment amount, improving the efficiency and effectiveness of calibration.

[0034] Specifically, the update amplitude limiting coefficient dynamically changes according to the system state: when the deviation degree is large, it means that the detection device is seriously inaccurate, so a larger update step can be allowed to quickly converge; when the deviation is small, the detection device has approached the optimal state, and a small step should be used for fine tuning to prevent oscillation around the optimal value.

[0035] In actual use, different levels of deviation degrees can be divided, and different levels correspond to different update amplitude limiting coefficients, or a function between the deviation degree and the update amplitude limiting coefficient is set, or the Kalman filter is used to obtain the update amplitude limiting coefficient. According to actual needs, the specific setting is not limited here.

[0036] In some optional embodiments, the calibration of the compensation factor corresponding to at least one temperature anchor point of the current temperature compensation function based on the update amplitude limiting coefficient and the current temperature includes: if the current temperature is different from the temperature anchor point, determining a first temperature anchor point and a second temperature anchor point adjacent to the current temperature, determining a first influence weight of the current temperature on the first temperature anchor point and a second influence weight of the current temperature on the second temperature anchor point according to the difference between the current temperature and the first temperature anchor point and the second temperature anchor point; and calibrating the compensation factor of the first temperature anchor point according to the update amplitude limiting coefficient and the first temperature anchor point, and calibrating the compensation factor of the second temperature anchor point according to the update amplitude limiting coefficient and the second temperature anchor point.

[0037] In this embodiment, the influence of temperature on the performance of the detection device and the detection result is generally continuous and gradual, and the compensation conditions corresponding to adjacent temperature anchor points are closer to the actual conditions at the current temperature. Based on this, calibration can more accurately reflect the compensation needs at the current temperature. According to the difference between the current temperature and the first and second temperature anchor points, the first and second influence weights of the current temperature on the two anchor points are determined, which can more accurately quantify the influence degree of different temperature anchor points on the current temperature detection result, thereby more accurately calibrating the compensation factor of the corresponding anchor point. At the same time, the update amplitude limiting coefficient is introduced to calibrate the compensation factor of the first and second temperature anchor points, which can effectively prevent extreme adjustment caused by excessive deviation.

[0038] Specifically, the update amplitude limiting coefficient , the current temperature , the confirmed two adjacent temperature anchor points are and and , the calculation process of the first influence weight and the second influence weight may be as follows: ; ; + =1.

[0039] The above calculation formula reasonably allocates the total update amplitude limiting coefficient to the two anchor points according to the "responsibility size". The anchor point close to the fault point bears more adjustment responsibility. The anchor point far from the fault point bears less adjustment responsibility.

[0040] In this embodiment, the compensation factor is calibrated by the following calculation formula:

[0041]

[0042] wherein, is a conservative coefficient for making single adjustment more robust.

[0043] In some optional embodiments, if the current temperature is the same as any one of the temperature anchor points, the current temperature anchor point is directly calibrated. When calibrating, the compensation factor can be directly calibrated according to the update amplitude limiting coefficient and / or the conservative coefficient.

[0044] In some optional embodiments, the method further comprises: smoothing the calibrated temperature compensation function.

[0045] In this embodiment, the relationship between temperature and compensation factor is generally continuous and gradual. Smoothing processing can better fit this continuous relationship, ensuring that the change of compensation factor between adjacent temperature points is reasonable and gradual. In this way, it can be avoided that excessive compensation or insufficient compensation occurs at certain temperatures due to discontinuity or mutation of the compensation function, further improving the accuracy of the detection result.

[0046] Specifically, smoothing processing can be performed in the form of exponentially weighted moving average, or in the form of polynomial smoothing. The specific form is not limited here according to actual needs.

[0047] In some optional embodiments, the step of determining the update amplitude limiting coefficient of the current temperature compensation function on the basis of the degree of deviation comprises: calculating the relative error between the concentration detection result of the detection device for the standard concentration of the biomarker and the true concentration; obtaining a tentative update coefficient according to the product of the relative error and a preset sensitivity coefficient; and performing amplitude limiting processing on the tentative update coefficient to obtain the update amplitude limiting coefficient.

[0048] In this embodiment, the relative error can more accurately reflect the accuracy of the detection, providing a reliable basis for subsequent determination of the update amplitude; and the product of the relative error and the preset sensitivity coefficient is used to obtain the tentative update coefficient, which combines the detection deviation and the sensitivity coefficient, can more reasonably determine the update amplitude of the temperature compensation function, so that the calibration process is more accurately adjusted according to the detection deviation, improving the accuracy of the calibration.

[0049] Specifically, the relative error is calculated as follows: ; wherein, is the original biomarker concentration measured and converted by the detection device without temperature compensation; is the true concentration of the standard concentration of the biomarker; The calculation formula of the tentative update coefficient is as follows: ; wherein, is the sensitivity coefficient.

[0050] The amplitude limiting is performed on to obtain the final update amplitude limiting coefficient: ; wherein, is the maximum relative step length of single update.

[0051] In some optional embodiments, further comprising uploading the calibration log to a preset learning model in a server, so that the learning model dynamically adjusts the sensitivity coefficient according to the calibration log data.

[0052] In this embodiment, the learning model can deeply understand the error pattern and variation law of a specific device by analyzing the data in the calibration log, thereby dynamically adjusting the sensitivity coefficient, so that the temperature compensation function more accurately fits the actual characteristics of the device.

[0053] In some optional embodiments, the confirmation of whether the use state of the detection device meets the preset calibration condition comprises at least one of the following: The preset periodic calibration is due; The user actively performs a biomarker calibration operation based on a standard concentration; The detection device performs a self-check to determine whether the background current drift exceeds a threshold; Stable and same-direction deviation occurs for n consecutive times under the same temperature zone.

[0054] In this embodiment, different detection scenarios and conditions also have different performance requirements for the detection device. By meeting various calibration conditions for calibration, the device can better adapt to various complex environments and working conditions.

[0055] Embodiment two: On the basis of the above-mentioned embodiments, this embodiment provides an application example. This embodiment provides a urine detection device. The urine detection device can communicate with the applet, uses a high-precision chemical sensor or a biological sensor, and is used for detecting the uric acid concentration in urine. A low-power microcontroller (MCU) is built-in, responsible for controlling data acquisition, processing and Bluetooth transmission of the sensor. A low-power Bluetooth module (such as BLE 5.0) is integrated to realize stable wireless communication with a mobile device. A rechargeable battery is used for power supply, and a low-power reminder function is provided. The shell is made of waterproof, corrosion-resistant and easy-to-clean medical-grade materials.

[0056] The urine detection device preferably uses an enzymatic electrochemical method: uricase is immobilized on the test paper / sensor sheet, uric acid is catalytically generated into hydrogen peroxide, and the working electrode detects the hydrogen peroxide under constant potential to obtain the current signal I (nA). The MCU samples and digitally filters (moving average + median filter + power frequency notch) I, and converts it into uric acid concentration (μmol / L) according to the calibration coefficient. To reduce errors, the test paper is designed with a capillary drainage constant-volume area to ensure constant reaction volume; the MCU monitors the completion of sample charging (impedance / capacitance change threshold) before starting timing and reading.

[0057] The basic conversion relationship of the uric acid concentration is as follows: ; in, The blank / background current is given, and a and b are parameters preset at the factory. For example, multi-point calibration at the factory: during the production stage, ≥3 known concentrations of uric acid standard solutions (e.g., 200, 400, 800 μmol / L) are used to establish the sensitivity curves (a, b, ...) for this batch of sensor chips. The batch coefficient is then written into the test strip's QR code / RFID tag and the device's factory parameter area. Sensitivity curve calibration can be performed as follows: Method A: Built-in calibration module, suitable for desktop / home docking station versions. The device has a built-in micro-calibration liquid tank (encapsulated to prevent volatilization). The MCU-controlled micro-pump drips the calibration liquid into the test chamber according to the number of uses or time thresholds (e.g., every 30 times or every 30 days), performing single-point or two-point rapid calibration, and automatically updating the calibration solution. With drift term.

[0058] Method B: External calibration solution, suitable for the portable version. Following the prompts in the mini-program, the user adds the included calibration solution (indicated concentration) to the sampling port. The device then completes self-testing and coefficient updates. The calibration process is fully automated, and the results are written back to the device and the mini-program, and synchronized to the cloud, creating a traceable calibration record.

[0059] The detection process of the urine testing equipment for the biomarker (uric acid) is as follows: 1. A self-test can be performed before use to confirm whether temperature compensation function calibration is required. Self-test methods may include the following: 1) The device first reads the data in an air / blank state. and history If the deviation exceeds the threshold, the user will be prompted to perform calibration or replace the test strip.

[0060] 2) Test strip batch identification: Scan the code of the test strip with the mini-program and enter the batch code. The batch-specific coefficient will be automatically loaded to prevent cross-batch errors.

[0061] 3) Drift compensation: The firmware maintains a four-dimensional drift model of "time-temperature-humidity-number of uses"; when the cumulative drift exceeds the preset range, it forces the calibration process.

[0062] 4) Quality control rules: Set internal quality control line (IQC) - insert a standard solution for verification after every N real sample tests; if the verification value exceeds the tolerance, automatically roll back to the previous effective coefficient and require recalibration.

[0063] The urine testing equipment is only permitted to perform fine-tuning (calibration) of the local temperature compensation function after meeting any of the following conditions and the "pre-test" requirement: a. Periodic calibration expires (every 30 measurements); b. The user actively performs standard solution calibration; c. Power-on self-test prompt. Background drift exceeds threshold and prompts user for consent to calibration;d. Stable same-direction deviation (|e|≥ε, ε example taken as 0.03) occurs for n consecutive times (example n=3) at approximately the same temperature zone.

[0064] II. Calibration of temperature compensation function In this implementation, the parameters involved in calibration are as follows: : Original uric acid concentration converted from electrochemical measurement (without temperature compensation).

[0065] : Current measurement temperature (given by the proximal temperature sensor in real time).

[0066] : Current function used for temperature compensation (look-up table / interpolation or polynomial form obtained from factory calibration).

[0067] = · : Compensated uric acid reading.

[0068] : Target / nominal concentration of standard solution (given by the accompanying standard solution or the built-in standard solution in the base).

[0069] : Relative error (unit: dimensionless).

[0070] : Sensitivity coefficient (example value 0.3-0.6, can be adjusted by cloud).

[0071] : Maximum relative step size for single update (example 0.01-0.03, corresponding to 1%-3%).

[0072] : Conservative coefficient (example 0.5 to 0.9), used to further limit the update amplitude.

[0073] The specific calibration steps are as follows: 2.1, Calculate the relative error

[0074] For example: = 400 μmol / L, = 420 μmol / L, then = 20 / 400 = 0.05 (i.e. 5%).

[0075] 2.2, Calculate the updated coefficient: = · ; To do clipping to get updated amplitude restriction factor : .

[0076] As: = 0.5, = 0.5x0.05 = 0.025; if k_max = 0.03, then k = 0.025.

[0077] 2.3, determine the neighboring anchor points and , and calculate interpolation weights: ; ; + =1.

[0078] 2.4, perform local weight update on neighboring anchors (conservatively only update neighboring anchors, not the full table):

[0079]

[0080] As: = 0.025, = = 0.5, = 0.8, the calculated update amount = · · = 0.01 (i.e. 1%). Then , each multiplied by 0.99 (decrease by 1%), thus bringing the reading at the temperature measurement point closer to

[0081] 2.5, apply smoothing filter (exponential weighted moving average) to the updated anchors: f_new = ·f_update + (1 - )·f_old, typical value 0.3-0.6.

[0082] 2.6, record update log timestamp, , , , , the compensation factor before and after the update, and the trigger cause, etc. are uploaded to the preset learning model in the cloud server, so that the learning model dynamically adjusts the sensitivity coefficient according to the calibration log data. The learning model implements clustering and time sequence detection, and if the fine tuning frequency of a device / batch or the single update amplitude is abnormal (more than the group average ± nσ), an alarm is generated and manual intervention or forced calibration process is triggered. The applet displays the "fine tuning history and current coefficient version" to the user and provides a "rollback / contact manufacturer" button.

[0083] In some optional embodiments, the urine detection device also provides a weak correction method in the case of no standard liquid, as follows: When the user does not use the standard liquid, but the device detects (the background current) and the factory (T) There is a stable offset Δ , the can be slightly weakly corrected as follows: ← · [1-β·(Δ / *( ))], Where β is the weak correction factor (example 0.2-0.4), and the single correction amplitude is limited to ≤1.5%.

[0084] In some optional embodiments, the urine detection device is also provided with safety constraints and interlocking mechanisms to prevent over-correction. Specifically as follows: Temperature zone interlocking: if T ∉ valid working zone (example 10 ℃-35 ℃), any local fine tuning operation is prohibited.

[0085] Single / cumulative amplitude limiting: single update |k| ≤ k_max (example ≤3%); cumulative update |Δf| ≤ F_max (example ≤10%) within a unit period (such as 90 days).

[0086] Monotonicity and physical constraints: after updating, must maintain monotonicity at anchor points (if defined as monotonic at factory), and within the preset upper and lower bounds (example 0.6 ≤ ≤ 1.6).

[0087] Quality review: after updating, automatically perform an IQC (internal control standard liquid retest) once, if the retest still exceeds the tolerance, automatically roll back In summary, this embodiment gives a clear process and constraints for local fine tuning of the temperature compensation function in the in-use environment, which includes device-end local safety fine tuning and cloud / AI-level collaborative optimization, forming a closed loop to ensure precision, stability and traceability.

[0088] In practical applications, the detection device can be a blood, sweat, saliva, or urine detection device. This is not limited here.

[0089] Embodiment Three Another embodiment of the present application relates to a biomarker detection device. The implementation details of the biomarker detection device of the present embodiment are described below. The following details are provided for the convenience of understanding and are not essential to the implementation of the present embodiment. The schematic diagram of the biomarker detection device of the present embodiment can be as shown in FIG. 2, which includes a calibration condition confirmation module 210, a calibration module 220, and a compensation module 230. Figure 2 The calibration condition confirmation module 210 is configured to confirm whether the use state of the detection device meets a preset calibration condition.

[0090] The calibration condition confirmation module 210 is configured to confirm whether the use state of the detection device meets a preset calibration condition. The calibration module 220 is configured to calibrate the current temperature compensation function according to the degree of deviation of the detection result of the detection device from the true concentration of the biomarker of the standard concentration when the calibration condition is met, wherein the detection result of the detection device is the result compensated by the temperature compensation function, and the temperature compensation function corresponds to different compensation factors at different temperature anchor points. The compensation module 230 is configured to compensate the detection result of the to-be-detected biomarker based on the current temperature and using the calibrated temperature compensation function to obtain the final detection result.

[0091] It is worth mentioning that each module involved in the present embodiment is a logical module. In practical applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of the present application, some units that are not closely related to solving the technical problems proposed in the present application are not introduced in the present embodiment, but this does not mean that there are no other units in the present embodiment.

[0092] In some optional embodiments, the calibration module includes: The update amplitude limiting coefficient determination unit is configured to determine an update amplitude limiting coefficient of the current temperature compensation function based on the degree of deviation. The compensation factor calibration unit is configured to calibrate the compensation factor corresponding to at least one temperature anchor point of the current temperature compensation function based on the update amplitude limiting coefficient and the current temperature, so as to obtain the calibrated temperature compensation function to reduce the detection error.

[0093] In some optional embodiments, the compensation factor calibration unit includes: The influence weight calculation subunit is configured to determine a first temperature anchor point and a second temperature anchor point adjacent to the current temperature, and determine a first influence weight of the current temperature on the first temperature anchor point and a second influence weight of the current temperature on the second temperature anchor point according to a difference between the current temperature and the first temperature anchor point and the second temperature anchor point. The calibration subunit is configured to calibrate a compensation factor of the first temperature anchor point according to the update amplitude limiting coefficient and the first temperature anchor point, and calibrate a compensation factor of the second temperature anchor point according to the update amplitude limiting coefficient and the second temperature anchor point.

[0094] In some optional embodiments, the apparatus further comprises The smoothing module is configured to smooth the calibrated temperature compensation function.

[0095] In some optional embodiments, the update amplitude limiting coefficient determination subunit comprises: The relative error calculation subunit is configured to calculate a relative error between a concentration detection result of the detection equipment on the standard concentration of the biomarker and the real concentration. The pseudo-update coefficient calculation subunit is configured to obtain a pseudo-update coefficient according to a product of the relative error and a preset sensitivity coefficient. The amplitude limiting subunit is configured to limit the amplitude of the pseudo-update coefficient to obtain the update amplitude limiting coefficient.

[0096] In some optional embodiments, the apparatus further comprises: The sensitivity coefficient adjustment module is configured to upload the calibration log to a preset learning model in a server, so that the learning model dynamically adjusts the sensitivity coefficient according to the calibration log data.

[0097] Embodiment four: Another embodiment of the present application relates to a detection equipment, comprising: at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the biomarker detection method in each of the above embodiments.

[0098] The memory and the processor are connected by a bus. The bus can include any number of interconnecting buses and bridges depending on the specific application of the mobile terminal. The bus connects the various circuits of the memory and the processor together and mediates data communication among different components. The bus can also connect with the various other circuits such as peripheral devices, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described further. A bus interface provides an interface between the bus and a transceiver. The transceiver can be a single device or a plurality of devices such as a plurality of receivers and transmitters that provide for communication with various other apparatus over a transmission medium. Processed data is transmitted to the transceiver via the processor, and further, the transceiver receives data and transmits the data to the processor via the antenna over a wireless medium.

[0099] The processor is responsible for managing the bus and general processing, and can also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. The memory can be used for storing data used by the processor when executing operations.

[0100] Embodiment Five Another embodiment of the present application relates to a computer readable storage medium storing a computer program. The computer program is executed by a processor to implement the method embodiments.

[0101] That is, those skilled in the art can understand that all or part of the steps of the methods in the above embodiments can be completed by a program instructing relevant hardware, and the program is stored in a storage medium, including a plurality of instructions for causing an apparatus (which can be a single-chip microcomputer, a chip, or the like) or a processor to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0102] Those skilled in the art can understand that the above embodiments are specific embodiments for implementing the present application, and in actual applications, various changes can be made in form and details without departing from the spirit and scope of the present application.

Claims

1. A method for detecting a biomarker, characterized by, The method comprises the steps of: confirming whether the use state of the detection device meets preset calibration conditions; when the calibration conditions are met, calibrating the current temperature compensation function according to the deviation degree of the concentration detection result of the detection device from the true concentration of the standard concentration biomarker, wherein the detection result of the detection device is compensated by using the temperature compensation function, and the temperature compensation function corresponds to different compensation factors at different temperature anchor points; based on the current temperature, compensating the detection result of the to-be-detected biomarker by using the calibrated temperature compensation function to obtain the final detection result.

2. The method for detecting biomarkers according to claim 1, characterized in that, The calibration of the current temperature compensation function according to the deviation degree of the concentration detection result of the detection device from the true concentration of the standard concentration biomarker comprises the steps of: determining an update amplitude limitation coefficient of the current temperature compensation function based on the deviation degree; based on the update amplitude limitation coefficient and the current temperature, calibrating the compensation factor corresponding to at least one temperature anchor point of the current temperature compensation function to obtain the calibrated temperature compensation function to reduce the detection error.

3. The method for detecting biomarkers according to claim 2, characterized in that, The calibration of the compensation factor corresponding to at least one temperature anchor point of the current temperature compensation function based on the update amplitude limitation coefficient and the current temperature comprises the steps of: if the current temperature is different from the temperature anchor point, determining a first temperature anchor point and a second temperature anchor point adjacent to the current temperature, and determining a first influence weight of the current temperature on the first temperature anchor point and a second influence weight of the current temperature on the second temperature anchor point according to the difference between the current temperature and the first temperature anchor point and the second temperature anchor point; calibrating the compensation factor of the first temperature anchor point according to the update amplitude limitation coefficient and the first temperature anchor point, and calibrating the compensation factor of the second temperature anchor point according to the update amplitude limitation coefficient and the second temperature anchor point.

4. The method of detecting biomarkers according to any one of claim 2, wherein, The method further comprises the steps of: smoothing the calibrated temperature compensation function.

5. The method for detecting biomarkers according to claim 2, characterized in that, The determination of the update amplitude limitation coefficient of the current temperature compensation function based on the deviation degree comprises the steps of: calculating the relative error of the concentration detection result of the detection device from the true concentration of the standard concentration biomarker; obtaining an update coefficient according to the product of the relative error and a preset sensitivity coefficient; amplitude-limiting the update coefficient to obtain the update amplitude limitation coefficient.

6. The method for detecting biomarkers according to claim 5, characterized in that, The method further comprises the steps of: uploading the calibration log to a preset learning model in a server, so that the learning model dynamically adjusts the sensitivity coefficient according to the calibration log data.

7. The method of detecting biomarkers according to any one of claims 1 to 6, wherein, The confirmation of whether the use state of the detection device meets the preset calibration conditions comprises at least one of the following: preset periodic calibration is due; the user actively performs a calibration operation based on the standard concentration biomarker; the detection device performs self-checking to determine that the background current drift exceeds a threshold value; stable deviation in the same direction occurs for n consecutive times in the same temperature zone.

8. A device for detecting a biomarker, characterized by The method comprises the steps of: a calibration condition confirmation module configured to confirm whether the use state of the detection device meets preset calibration conditions; The calibration module is configured to calibrate the current temperature compensation function according to a deviation degree between a detection result of a standard concentration of the biomarker by the detection device and a true concentration when the calibration condition is met, wherein the detection result of the detection device is compensated by the temperature compensation function, and the temperature compensation function corresponds to different compensation factors at different temperature anchors; The compensation module is configured to compensate the detection result of the to-be-detected biomarker by the calibrated temperature compensation function based on a current temperature to obtain a final detection result.

9. A detection device, characterized by The method comprises the following steps: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the biomarker detection method according to any one of claims 1 to 7.

10. A computer readable storage medium storing a computer program, characterized in that, The computer program is executed by the processor to implement the biomarker detection method according to any one of claims 1 to 7.

Images