Hematocrit correction method and system, terminal and storage medium

Abstract

The invention provides a hematocrit correction method, a hematocrit correction system, a terminal and a storage medium, and the method comprises the following steps: testing blood samples with different hematocrits at two different frequency points by using an electrochemical test strip made of at least one electrode material; testing data of the blood samples with different hematocrits at two different frequency points are obtained, and the testing data comprise at least one of impedance, resistance and phase; calculating to obtain a first variable or a second variable according to the test data of the blood sample with the same hematocrit corresponding to the electrochemical test strip of each electrode material at two different frequency points; fitting by taking the first variable or the second variable as an independent variable and the hematocrit as a dependent variable to obtain a relation model; and correcting the electrochemical detection result of the to-be-detected blood sample by using the relation model. According to the method, the influence of sample difference on a detection result can be effectively reduced, and the accuracy and stability of hematocrit correction calculation are improved.

Description

Technical Field

[0001] The present application relates to the field of electroanalytical chemical detection technology, and in particular to a hematocrit correction method, system, terminal and storage medium. Background Art

[0002] Hematocrit (HCT) significantly impacts the test results of electrochemical biosensors, such as portable blood glucose meters. Changes in HCT can affect the optical and electrochemical properties of blood, thereby impacting the accuracy of blood glucose testing. Currently, commonly used hematocrit correction methods rely primarily on impedance correction. By acquiring impedance signals at multiple frequencies, the relationship between impedance and hematocrit is established, and the hematocrit value is calculated. However, existing hematocrit correction algorithms have poor anti-interference capabilities and are easily affected by sample differences, compromising the accuracy and stability of the correction.

[0003] Therefore, how to effectively reduce the impact of sample differences on test results and improve the accuracy and stability of hematocrit correction calculations is a technical problem that needs to be urgently solved by those skilled in the art. Summary of the Invention

[0004] To address the above technical issues, this application provides a hematocrit correction method that effectively reduces the impact of sample differences on test results and improves the accuracy and stability of hematocrit correction calculations. This application also provides a hematocrit correction system, terminal, and storage medium, all with similar technical effects.

[0005] The first object of this application is to provide a method for correcting hematocrit.

[0006] The above-mentioned application objective 1 of this application is achieved through the following technical solutions: A hematocrit correction method comprising: Using an electrochemical test strip made of at least one electrode material, testing blood samples with different hematocrits at two different frequencies to obtain test data of the blood samples with different hematocrits at the two different frequencies, the test data including at least one of impedance, resistance, and phase; Subtracting the test data of the blood sample with the same hematocrit at two different frequency points corresponding to the electrochemical test strips of each electrode material from each other to obtain a first variable, wherein the first variable is one of an impedance difference and a resistance difference; or Dividing the phase of the test data of the blood sample with the same hematocrit corresponding to the electrochemical test strip of each electrode material at a first of two different frequency points by the impedance or resistance of the test data at a second of the two different frequency points, to obtain a second variable, wherein the first frequency point is higher than the second frequency point; Taking the first variable or the second variable as the independent variable and the hematocrit as the dependent variable, a relationship model is obtained by fitting; The electrochemical detection result of the blood sample to be tested is corrected using the relationship model.

[0007] Preferably, in the hematocrit correction method, the first variable or the second variable is used as the independent variable, the hematocrit is used as the dependent variable, and fitting a relationship model comprises: A linear fitting is performed with the first variable or the second variable as the independent variable and the hematocrit as the dependent variable to obtain a relationship model.

[0008] Preferably, in the hematocrit correction method, using the relationship model to correct the electrochemical detection result of the blood sample to be tested includes: Calculating the hematocrit value of the blood sample to be tested using the relationship model; The electrochemical detection result of the blood sample to be tested is corrected according to the hematocrit value.

[0009] Preferably, in the hematocrit correction method, after the electrochemical test strips of at least one electrode material are used to test blood samples with different hematocrits at two different frequencies to obtain test data of the blood samples with different hematocrits at two different frequencies, the method further comprises: Determine whether there are outliers in the test data, If so, returning to the step of re-executing the step of using the electrochemical test strip of at least one electrode material to test blood samples with different hematocrits at two different frequencies to obtain test data of the blood samples with different hematocrits at two different frequencies; If not, proceed to the next step.

[0010] The second object of the present application is to provide a hematocrit correction system.

[0011] The second object of the present application is achieved through the following technical solutions: A hematocrit correction system comprising: an acquisition unit, configured to test blood samples with different hematocrits at two different frequencies using an electrochemical test strip made of at least one electrode material, to obtain test data of the blood samples with different hematocrits at the two different frequencies, wherein the test data includes at least one of impedance, resistance, and phase; a calculation unit, configured to perform pairwise subtraction on the test data of the blood sample having the same hematocrit at two different frequency points corresponding to the electrochemical test strips of each electrode material to obtain a first variable, wherein the first variable is one of an impedance difference and a resistance difference; The calculation unit is further configured to perform pairwise division of the phase of the test data of the blood sample with the same hematocrit corresponding to each electrochemical test strip of the electrode material at a first frequency point of two different frequencies with the impedance or resistance of the test data at a second frequency point of the two different frequencies to obtain a second variable, wherein the first frequency point is higher than the second frequency point; a fitting unit, configured to fit the first variable or the second variable as an independent variable and the hematocrit as a dependent variable to obtain a relationship model; The correction unit is used to correct the electrochemical detection result of the blood sample to be tested by using the relationship model.

[0012] Preferably, in the hematocrit correction system, the fitting unit, when performing the fitting to obtain the relationship model with the first variable or the second variable as the independent variable and the hematocrit as the dependent variable, is specifically configured to: A linear fitting is performed with the first variable or the second variable as the independent variable and the hematocrit as the dependent variable to obtain a relationship model.

[0013] Preferably, in the hematocrit correction system, the correction unit, when performing the correction of the electrochemical detection result of the blood sample using the relationship model, is specifically configured to: Calculating the hematocrit value of the blood sample to be tested using the relationship model; The electrochemical detection result of the blood sample to be tested is corrected according to the hematocrit value.

[0014] Preferably, the hematocrit correction system further comprises: A judging unit, configured to judge whether there are abnormal values ​​in the test data; The acquisition unit is further configured to, when determining that an abnormal value exists in the test data, re-execute the electrochemical test strip using at least one electrode material to test blood samples with different hematocrits at two different frequencies to obtain test data of the blood samples with different hematocrits at two different frequencies; The calculation unit is further configured to, when it is determined that no abnormal value exists in the test data, perform pairwise subtraction of the test data of the blood samples with the same hematocrit corresponding to the electrochemical test strips of each electrode material at two different frequency points to obtain a first variable, or perform pairwise division of the phase in the test data of the blood samples with the same hematocrit corresponding to the electrochemical test strips of each electrode material at a first of the two different frequency points with the impedance or resistance in the test data at a second of the two different frequency points to obtain a second variable.

[0015] The third object of the present application is to provide a hematocrit correction terminal.

[0016] The third object of the present application is achieved through the following technical solutions: A hematocrit correction terminal includes: a storage medium and a processor; The storage medium stores computer-executable instructions; The processor executes the computer-executable instructions stored in the storage medium to implement the hematocrit correction method described above.

[0017] The fourth object of this application is to provide a computer-readable storage medium.

[0018] The fourth object of the present application is achieved through the following technical solutions: A computer-readable storage medium stores computer-executable instructions, which are used to implement the above-mentioned hematocrit correction method when executed by a processor.

[0019] The above technical solution uses an electrochemical test strip of at least one electrode material to test blood samples with different hematocrits at two different frequency points to obtain test data of the blood samples with different hematocrits at two different frequency points, and subtracts the test data of the blood samples with the same hematocrit corresponding to each electrode material at the two different frequency points to obtain a first variable, wherein the first variable is one of an impedance difference and a resistance difference, or the phase of the test data of the blood samples with the same hematocrit corresponding to the electrochemical test strip of each electrode material at the first of the two different frequency points is subtracted from the phase of the test data of the blood samples with the same hematocrit corresponding to each electrode material at the second of the two different frequency points. The impedance or resistance in the test data under the point is divided pairwise to obtain the second variable. By calculating the first variable or the second variable, the abnormal influence of a single frequency point can be effectively eliminated, the anti-interference ability of the signal is improved, and the influence of sample differences on the test results is reduced; further, the first variable or the second variable is used as the independent variable and the hematocrit is used as the dependent variable to fit a relationship model; the electrochemical detection results of the blood sample to be tested are corrected using the relationship model. By establishing a relationship model between the first variable or the second variable and the hematocrit, the detection error caused by the hematocrit can be corrected more accurately, thereby improving the accuracy and stability of the electrochemical detection equipment. In summary, the above technical solution can effectively reduce the influence of sample differences on the test results and improve the accuracy and stability of the hematocrit correction calculation.

[0020] In addition, the above technical solution is compatible with electrochemical test strips made of different electrode materials and uses the same set of algorithms to correct the hematocrit, which can improve compatibility with different electrode materials. It is simple to calculate, low-cost, and easy to implement in existing electrochemical detection equipment. It has good practical value and promotion prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0022] Figure 1 This is a flow chart of a hematocrit correction method provided in an embodiment of the present application; Figure 2 This is another schematic flow chart of a hematocrit correction method provided in an embodiment of the present application; Figure 3Impedance / resistance product linear graphs of different electrode materials provided in the examples of the present application, wherein Figure (a) represents the impedance product linear graph at 10 kHz, Figure (b) represents the impedance product linear graph at 200 kHz, Figure (c) represents the resistance product linear graph at 10 kHz, and Figure (d) represents the resistance product linear graph at 200 kHz; Figure 4 Impedance / resistance difference product linear graphs of different electrode materials provided in the examples of this application, wherein Figure (e) represents the impedance difference product linear graph at 10 kHz and 200 kHz, and Figure (f) represents the resistance difference product linear graph at 10 kHz and 200 kHz; Figure 5 A linear relationship diagram between the second variable and the pressure product of different electrode materials provided in the embodiments of the present application; Figure 6 This is a schematic structural diagram of a hematocrit correction system provided in an embodiment of the present application; Figure 7 This is a structural schematic diagram of a hematocrit correction terminal provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to help those skilled in the art better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of this application.

[0024] In the embodiments provided in this application, it should be understood that the disclosed methods and systems can be implemented in other ways. The system embodiments described below are merely illustrative. For example, the division of modules is only a logical function division. In actual implementation, there may be other division methods, such as: multiple modules or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0025] It should be understood that the use of "system," "device," "unit," and / or "module" in this application is merely a method for distinguishing different components, elements, parts, portions, or assemblies at different levels. However, if other terms can achieve the same purpose, the terms may be replaced by other expressions.

[0026] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include one or more of such features. Throughout the description of this application, "plurality" or "several" means two or more, unless otherwise specifically defined.

[0027] If a flow chart is used in this application, the flow chart is used to illustrate the operations performed by the system according to the embodiments of the application. It should be understood that the previous or subsequent operations are not necessarily performed in exact order. Instead, the steps can be processed in reverse order or simultaneously. At the same time, other operations can be added to these processes, or one or more operations can be removed from these processes.

[0028] It should also be noted that, in this document, terms such as "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that an article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such article or device. In the absence of further limitations, elements defined by the phrase "comprises a ..." do not exclude the presence of other identical elements in the article or device comprising the above elements.

[0029] Resistance, denoted by R, is a physical quantity that describes the conductivity of a conductor. It is defined as the ratio of the voltage U across the conductor to the current I flowing through it, or R = U / I. Resistance depends on factors such as the conductor's material, shape, volume, and surrounding environment. The greater the resistance, the less likely it is to conduct electricity.

[0030] Impedance, denoted by Z, is the total resistance to current flow in a circuit consisting of resistance, inductance, and capacitance. The real part of impedance is called resistance, and the imaginary part is called reactance. Reactance includes inductive reactance (the resistance of inductance to alternating current) and capacitive reactance (the resistance of capacitance to alternating current). Therefore, impedance is a composite of resistance, inductive reactance, and capacitive reactance, and can be expressed as Z = R + j (XL - XC), where R is resistance, XL is inductive reactance, XC is capacitive reactance, and j represents the imaginary unit.

[0031] Phase is an important concept in electrical engineering. It refers to the relative position of a periodic signal or waveform at a certain moment. It is usually expressed in degrees (or radians), usually ranging from 0 to 360 degrees (or 0 to 2π radians).

[0032] The embodiments of the present application are written in a progressive manner.

[0033] like Figure 1As shown, the embodiment of the present application provides a hematocrit correction method, comprising: S101. Using an electrochemical test strip of at least one electrode material, testing blood samples with different hematocrits at two different frequencies to obtain test data of the blood samples with different hematocrits at two different frequencies; In S101, specifically, an existing electrochemical test strip for detecting hematocrit can be used, and its electrode material can be any type of other reasonable electrode materials such as carbon electrode, gold electrode, platinum electrode, palladium electrode, composite electrode, etc., and this application does not impose specific restrictions on this. The frequency point specifically refers to the frequency point, which can be selected from two different frequencies (such as 10KHz and 200KHz) within a set frequency range (such as 10KHz to 200KHz) based on actual needs. This application does not impose specific restrictions on this. The blood sample can be a sample with a known hematocrit, and different hematocrits can be set based on actual needs. For example, blood samples with hematocrits of 10%, 20%, 30%, 40%, 50%, 60%, and 70% can be used. This application does not impose specific restrictions on this.

[0034] An electrochemical test strip comprising at least one electrode material is used to test blood samples with different hematocrits at two different frequencies. An electrochemical biosensor is used to collect test signals of the blood samples at multiple frequencies to obtain test data of the blood samples with different hematocrits at two different frequencies. The test data includes at least one of impedance, resistance, and phase. For example, the test data may be only impedance data or only resistance data, which may be selected based on actual needs.

[0035] In this step, by adopting multiple frequency points for testing, the frequency range is wide, which can expand the hematocrit correction range and improve the applicability of the algorithm.

[0036] S102. Subtract test data of blood samples with the same hematocrit corresponding to electrochemical test strips of each electrode material at two different frequencies from each other to obtain a first variable; Specifically, in S102, assuming that electrochemical test strips of m types of electrode materials are used and two frequency points are used, the test data of blood samples with the same hematocrit obtained by the electrochemical test strips of each electrode material are grouped according to the two frequency points to obtain two groups of test data. Then, the two groups of test data are subtracted from each other to obtain the impedance difference or resistance difference at the two frequency points as the first variable.

[0037] For example, assuming there are electrochemical test strips with three types of electrode materials and two frequency points, including a high frequency point and a low frequency point, the test data of blood samples with the same hematocrit obtained by the electrochemical test strips of each electrode material are divided into two groups according to the high frequency point and the low frequency point. The impedance Z1 or resistance R1 at the high frequency point and the impedance Z2 or resistance R2 at the low frequency point are subtracted from each other to obtain the impedance difference (Z1-Z2 or Z2-Z1) or resistance difference (R1-R2 or R2-R1) corresponding to each electrode material, which is used as the first variable corresponding to each electrode material. If k measurement values ​​are collected for the same electrode material at the same hematocrit concentration, 3*k impedance differences or 3*k resistance differences can be obtained.

[0038] In this step, by subtracting the collected impedance or resistance, the abnormal influence of a single frequency point can be effectively eliminated, the anti-interference ability of the signal is improved, and the influence of sample differences on the detection results is reduced.

[0039] S103. Using the first variable as the independent variable and the hematocrit as the dependent variable, obtain a relationship model by fitting; Specifically, in S103, the first variable can be used as an independent variable and the hematocrit can be used as a dependent variable to perform a linear fit to establish a relationship model between the first variable and the hematocrit. In some embodiments, one implementation of this step specifically includes performing a linear fit using the first variable as the independent variable and the hematocrit as the dependent variable to obtain the relationship model.

[0040] The first variable is one of the impedance difference and the resistance difference, the linear fit can be a quadratic or monomial linear fit, and the relationship model can be y=ax 2 +bx+c or y=ax+b, where y represents the hematocrit, x represents the first variable, and a, b, and c represent fitting coefficients. For example, a linear fit can be performed between the impedance difference (Z1-Z2 or Z2-Z1) and the known hematocrit value to establish a relationship model between the impedance difference and the hematocrit, such as y=ax+b, where x is the impedance difference; a linear fit can be performed between the resistance difference (R1-R2 or R2-R1) and the known hematocrit value to establish a relationship model between the resistance difference and the hematocrit, such as y=ax+b, where x is the resistance difference; this application does not impose specific limitations on this.

[0041] In this step, by performing linear fitting using the first variable as the independent variable, a more accurate relationship model between the test signal and the hematocrit is established, which can effectively improve the accuracy of hematocrit correction.

[0042] S104. Use the relationship model to calibrate the electrochemical detection results of the blood sample to be tested.

[0043] In S104, specifically, the blood sample to be tested may require a hematocrit test. Using the relationship model, the electrochemical test results of the blood sample to be tested can be corrected to improve the accuracy of the test. In some embodiments, one implementation of this step specifically includes: calculating the hematocrit value of the blood sample to be tested using the relationship model; and correcting the electrochemical test results of the blood sample to be tested based on the hematocrit value. In this step, calculating the hematocrit value based on the established relationship model and correcting the electrochemical test results of the blood sample to be tested can more accurately correct the detection error caused by the hematocrit, effectively improving the accuracy and reliability of the portable electrochemical detection device.

[0044] Currently, commonly used hematocrit correction methods rely primarily on impedance correction. This involves acquiring impedance signals at multiple frequencies, establishing a relationship between impedance and hematocrit, and calculating the hematocrit value. However, existing hematocrit correction algorithms have poor anti-interference capabilities and are easily affected by sample differences, which impacts the accuracy and stability of the correction.

[0045] In the above embodiment, an electrochemical test strip of at least one electrode material is used to test blood samples with different hematocrit at two different frequency points, respectively, to obtain test data of blood samples with different hematocrit at two different frequency points, and the test data of blood samples with the same hematocrit corresponding to each electrode material at two different frequency points are subtracted pairwise to obtain a first variable, wherein the first variable is one of the impedance difference and the resistance difference, thereby effectively eliminating the abnormal influence of a single frequency point, improving the anti-interference ability of the signal, and reducing the influence of sample differences on the test results; further, with the first variable as the independent variable and the hematocrit as the dependent variable, a relationship model is fitted to obtain; using the relationship model, the electrochemical test results of the blood sample to be tested are corrected, and by establishing a relationship model between the first variable and the hematocrit, the detection error caused by the hematocrit can be corrected more accurately, thereby improving the accuracy and stability of the electrochemical detection equipment. In summary, the above embodiment can effectively reduce the influence of sample differences on the test results and improve the accuracy and stability of the hematocrit correction calculation.

[0046] In addition, the above embodiment is compatible with electrochemical test strips of different electrode materials and uses the same set of algorithms to correct the hematocrit, which can improve the compatibility with different electrode materials. It is simple to calculate, low-cost, and easy to implement in existing electrochemical detection equipment, and has good practical value and promotion prospects.

[0047] like Figure 2 As shown, in other embodiments of the present application, another hematocrit correction method is provided, including: S201. Using an electrochemical test strip of at least one electrode material, testing blood samples with different hematocrits at two different frequencies to obtain test data of blood samples with different hematocrits at two different frequencies; In S201, specifically, the two different frequency points may include a first frequency point and a second frequency point, wherein the first frequency point is higher than the second frequency point, for example, the first frequency point is 200KHz and the second frequency point is 10KHz; the test data includes at least phase, and one of impedance or resistance, for example, the test data may include phase data at the first frequency point, and impedance data or resistance data at the second frequency point, which can be selected based on actual needs.

[0048] S202. Divide the phase of the test data of the blood sample with the same hematocrit corresponding to the electrochemical test strip of each electrode material at the first of the two different frequencies by the impedance or resistance of the test data at the second of the two different frequencies to obtain a second variable; Specifically, in S202, the test data of the blood sample with the same hematocrit obtained by the electrochemical test strip of each electrode material is grouped according to the first frequency point and the second frequency point to obtain two groups of test data. Then, the phase in the test data at the first frequency point and the impedance or resistance in the test data at the second frequency point are divided pairwise to obtain the quotient of the phase and impedance or the quotient of the phase and resistance at the two corresponding frequencies as the second variable.

[0049] For example, assuming there are electrochemical test strips made of two types of electrode materials, the frequency points include a first frequency point and a second frequency point. Test data of blood samples with the same hematocrit obtained by the electrochemical test strips of each electrode material are divided into two groups according to the first frequency point and the second frequency point. The phase P1 at the first frequency point and the impedance Z2 or the resistance R2 at the second frequency point are divided pairwise by each other to obtain the quotient of phase and impedance (Z2 / P1 or P1 / Z2) or the quotient of phase and resistance (R2 / P1 or P1 / R2) corresponding to each electrode material as the second variable corresponding to each electrode material. If k measurement values ​​are collected for the same electrode material at the same hematocrit concentration, 2*k quotients of phase and impedance or 2*k quotients of phase and impedance can be obtained.

[0050] In this step, by dividing the collected low-frequency impedance / resistance signal with the high-frequency phase value, the abnormal influence of a single frequency point can be effectively eliminated, the anti-interference ability of the signal is improved, and the influence of sample differences on the detection results is reduced.

[0051] S203. Using the second variable as the independent variable and the hematocrit as the dependent variable, a relationship model is obtained by fitting; Specifically, in S203, the second variable can be used as the independent variable and the hematocrit as the dependent variable to perform a linear fit to establish a relationship model between the second variable and the hematocrit. In some embodiments, one implementation of this step specifically includes performing a linear fit with the second variable as the independent variable and the hematocrit as the dependent variable to obtain the relationship model.

[0052] The second variable is one of the quotient of phase and impedance or the quotient of phase and resistance. The linear fit can be a quadratic or monomial linear fit. The relationship model can be y=ax 2 +bx+c or y=ax+b, where y represents the hematocrit, x represents the second variable, and a, b, and c represent fitting coefficients. For example, a linear fit can be performed between the phase-impedance quotient (Z2 / P1 or P1 / Z2) and the known hematocrit value to establish a relationship model between the phase-impedance quotient and the hematocrit, such as y=ax+b, where x is the phase-impedance quotient; a linear fit can be performed between the phase-resistance quotient (R2 / P1 or P1 / R2) and the known hematocrit value to establish a relationship model between the phase-resistance quotient and the hematocrit, such as y=ax+b, where x is the phase-resistance quotient; this application does not impose any specific limitations on this.

[0053] In this step, by performing linear fitting using the second variable as the independent variable, a more accurate relationship model between the test signal and the hematocrit is established, which can effectively improve the accuracy of hematocrit correction.

[0054] S204. Correct the electrochemical detection result of the blood sample using the relationship model.

[0055] In S204, the electrochemical test results of the blood sample to be tested can be specifically corrected using the relational model to improve the accuracy of the test. In some embodiments, one implementation of this step specifically includes: calculating the hematocrit value of the blood sample to be tested using the relational model; and correcting the electrochemical test results of the blood sample to be tested based on the hematocrit value.

[0056] In this embodiment, the second variable is obtained by dividing the collected low-frequency impedance / resistance signal by the high-frequency phase value, which can effectively eliminate the abnormal influence of a single frequency point, improve the anti-interference ability of the signal, and reduce the influence of sample differences on the detection results. By using the second variable as the independent variable for linear fitting, a more accurate relationship model between the test signal and the hematocrit is established, which can more accurately correct the detection error caused by the hematocrit, thereby improving the accuracy and stability of the electrochemical detection equipment.

[0057] In other embodiments of the present application, the above-mentioned hematocrit correction method, after the step of using an electrochemical test strip of at least one electrode material to test blood samples with different hematocrits at two different frequencies to obtain test data of the blood samples with different hematocrits at two different frequencies, further includes: Determine whether there are outliers in the test data. If so, returning to the step of re-executing the step of using an electrochemical test strip of at least one electrode material to test blood samples with different hematocrits at two different frequencies to obtain test data of the blood samples with different hematocrits at two different frequencies; If not, proceed to the next step.

[0058] Specifically, the test data includes at least one of impedance, resistance and phase. For each type of measurement value, its mean value can be set as the judgment standard for abnormal values. After executing S101 or S201, it can be determined whether there are abnormal values ​​in the test data. When the measurement value in the test data exceeds its mean value ±c%, the measurement value is determined to be an abnormal value, and then the step of obtaining the test data is re-executed, that is, S101 or S201 is re-executed; when the measurement values ​​in the test data are all within their mean value ±c%, it is determined that there are no abnormal values, and then the next step is executed, that is, S102 or S202 is executed, where the value of c can be set based on actual needs, for example, c=20, but the present application is not limited to this.

[0059] In this embodiment, by introducing outlier judgment, the quality of test data can be effectively guaranteed, which is conducive to improving the accuracy of hematocrit correction.

[0060] In a specific embodiment, electrochemical test strips made of three electrode materials, A, B, and C, were used at frequencies of 10 kHz and 200 kHz to test blood samples with hematocrits of 10%, 20%, 30%, 40%, 50%, 60%, and 70%, respectively. The test data of the blood samples tested by the electrochemical test strips of each electrode material are shown in Tables 1, 2, and 3, respectively.

[0061] Table 1 Test data of electrochemical test strips of electrode material A

[0062] Table 2 Test data of electrochemical test strips of electrode material B

[0063] Table 3 Test data of electrochemical test strips of electrode material C

[0064] The existing technology directly uses impedance Z and resistance R to perform voltage product correction fitting. When facing complex and changeable electrode materials, the correction effect is poor. The impedance\resistance voltage product linear diagram of different electrode materials in the existing technology is as follows: Figure 3 As shown, Figure (a) represents the impedance product linear diagram at 10KHz, Figure (b) represents the impedance product linear diagram at 200KHz, Figure (c) represents the resistance product linear diagram at 10KHz, and Figure (d) represents the resistance product linear diagram at 200KHz.

[0065] This application uses the first variable as the independent variable for linear fitting, and establishes a more accurate relationship model between the test signal and the hematocrit. The differences between different materials are significantly reduced. The impedance\resistance difference hematocrit linear graph of different electrode materials in this application is as follows: Figure 4 As shown, Figure (e) shows the linear graph of the impedance difference product at 10KHz and 200KHz, and Figure (f) shows the linear graph of the resistance difference product at 10KHz and 200KHz.

[0066] By comparing the compression correction effects of the above-mentioned methods, as shown in Table 4, among them, Method 1: the 10KHz impedance value is x, the compression value is y, and a binary linear correction equation is established to calculate the compression; Method 2: the 200KHz impedance value is x, the compression value is y, and a binary linear correction equation is established to calculate the compression; Method 3: the 10KHz resistance value is x, the compression value is y, and a binary linear correction equation is established to calculate the compression; Method 4: the 200KHz resistance value is x, the compression value is y, and a binary linear correction equation is established to calculate the compression; Method 1 of the present application: the difference between the 10KHz impedance value and the 200KHz impedance value is x, the compression value is y, and a binary linear correction equation is established to calculate the compression; Method 2 of the present application: the difference between the 10KHz resistance value and the 200KHz resistance value is x, the compression value is y, and a binary linear correction equation is established to calculate the compression.

[0067] Table 4 Deviations between calibration results and reference values ​​for different calibration methods

[0068] The data comparison above demonstrates that, compared to existing technologies, the hematocrit correction algorithm proposed in this application can more accurately correct blood glucose test errors caused by hematocrit, improving the accuracy and reliability of portable blood glucose testing devices. By calculating the first variable as the independent variable for linear fitting, this application significantly improves the signal's ability to resist interference and reduces the impact of environmental factors and sample differences on test results.

[0069] The present application can also use the second variable as an independent variable for linear fitting to establish a more accurate relationship model between the test signal and the hematocrit. Specifically, the quotient of phase and impedance (Z2 / P1) is used as the second variable, and its corresponding hematocrit linear graph is as follows: Figure 5 By comparing the compression product correction effects of the above-mentioned methods, as shown in Table 5, the present application method 3: takes the quotient of phase and impedance (Z2 / P1) as x, the compression product value as y, and establishes a binary linear correction equation to calculate the compression product.

[0070] Table 5 Deviations between calibration results and reference values ​​for different calibration methods

[0071] The data comparison above demonstrates that, compared to existing technologies, the hematocrit correction algorithm proposed in this application can more accurately correct blood glucose test errors caused by hematocrit, improving the accuracy and reliability of portable blood glucose testing devices. By calculating the second variable as the independent variable for linear fitting, this application significantly improves the signal's ability to resist interference and reduces the impact of environmental factors and sample differences on test results.

[0072] like Figure 6 As shown, in another embodiment of the present application, a hematocrit correction system is also provided, comprising: an acquisition unit 10 for testing blood samples with different hematocrits at two different frequencies using an electrochemical test strip made of at least one electrode material, to obtain test data of the blood samples with different hematocrits at the two different frequencies, the test data including at least one of impedance, resistance, and phase; A calculation unit 11 is configured to perform pairwise subtraction of test data of blood samples having the same hematocrit at two different frequency points corresponding to electrochemical test strips of each electrode material to obtain a first variable, wherein the first variable is one of an impedance difference and a resistance difference; The calculation unit 11 is further configured to divide the phase of the test data of the blood sample with the same hematocrit corresponding to the electrochemical test strip of each electrode material at a first frequency point of two different frequency points by the impedance or resistance of the test data at a second frequency point of the two different frequency points, thereby obtaining a second variable, wherein the first frequency point is higher than the second frequency point. A fitting unit 12 is used for fitting a relationship model using the first variable or the second variable as an independent variable and the hematocrit as a dependent variable; The correction unit 13 is used to correct the electrochemical detection result of the blood sample using the relationship model.

[0073] In other embodiments of the present application, in the above-mentioned hematocrit correction system, the fitting unit 12, when performing fitting to obtain a relationship model with the first variable or the second variable as the independent variable and the hematocrit as the dependent variable, is specifically configured to: With the first variable or the second variable as the independent variable and the hematocrit as the dependent variable, linear fitting was performed to obtain the relationship model.

[0074] In other embodiments of the present application, in the above-mentioned hematocrit correction system, the correction unit 13, when executing the correction of the electrochemical detection result of the blood sample to be tested using the relational model, is specifically used to: Utilizing the relational model, the hematocrit value of the blood sample to be tested is calculated; The electrochemical detection results of the blood sample to be tested are corrected according to the hematocrit value.

[0075] In other embodiments of the present application, the above-mentioned hematocrit correction system further includes: A judgment unit, used to judge whether there are abnormal values ​​in the test data; The acquisition unit 10 is further configured to, when determining that an abnormal value exists in the test data, re-execute the electrochemical test strip using at least one electrode material to test blood samples with different hematocrits at two different frequencies to obtain test data of the blood samples with different hematocrits at two different frequencies; The calculation unit 11 is further configured to, when it is determined that no abnormal value exists in the test data, perform a pairwise subtraction of the test data of the blood samples with the same hematocrit corresponding to the electrochemical test strips of each electrode material at two different frequency points to obtain a first variable, or perform a pairwise division of the phase in the test data of the blood samples with the same hematocrit corresponding to the electrochemical test strips of each electrode material at a first of the two different frequency points with the impedance or resistance in the test data at a second of the two different frequency points to obtain a second variable.

[0076] like Figure 7 As shown, in another embodiment of the present application, a hematocrit correction terminal is provided, comprising: a storage medium 20 and a processor 21; The storage medium 20 stores computer-executable instructions; The processor 21 executes the computer-executable instructions stored in the storage medium 20 to implement the hematocrit correction method described above.

[0077] The processor 21 may include one or more processing cores. The processor 21 executes the instructions, programs, code sets, or instruction sets stored in the storage medium 20, calls the data stored in the storage medium 20, and performs the various functions and processes data of the present application. The processor 21 may be at least one of an application-specific integrated circuit, a digital signal processor, a digital signal processing device, a programmable logic device, a field programmable gate array, a central processing unit, a controller, a microcontroller, and a microprocessor. It is understood that for different devices, the electronic components used to implement the functions of the processor 21 may also be other.

[0078] The storage medium 20 can be used to store instructions, programs, codes, code sets, or instruction sets. The storage medium 20 can include a program storage area and a data storage area. The program storage area can store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the aforementioned hematocrit correction method, etc. The data storage area can store data related to the aforementioned hematocrit correction method, etc.

[0079] In another embodiment of the present application, a computer-readable storage medium is provided, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the hematocrit correction method described above.

[0080] The computer-readable storage medium may be any medium capable of storing program codes, such as a USB flash drive, a mobile hard disk, a read-only memory, a random access memory, or an optical disk.

[0081] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A hematocrit correction method, characterized in that: include: Using an electrochemical test strip made of at least one electrode material, testing blood samples with different hematocrits at two different frequencies to obtain test data of the blood samples with different hematocrits at the two different frequencies, the test data including at least one of impedance, resistance, and phase; Subtracting the test data of the blood sample with the same hematocrit at two different frequency points corresponding to the electrochemical test strips of each electrode material from each other to obtain a first variable, wherein the first variable is one of an impedance difference and a resistance difference; or Dividing the phase of the test data of the blood sample with the same hematocrit corresponding to the electrochemical test strip of each electrode material at a first of two different frequency points by the impedance or resistance of the test data at a second of the two different frequency points, to obtain a second variable, wherein the first frequency point is higher than the second frequency point; Taking the first variable or the second variable as the independent variable and the hematocrit as the dependent variable, a relationship model is obtained by fitting; The electrochemical detection result of the blood sample to be tested is corrected using the relationship model.

2. The method according to claim 1, wherein The step of fitting a relationship model using the first variable or the second variable as an independent variable and the hematocrit as a dependent variable includes: A linear fitting is performed with the first variable or the second variable as the independent variable and the hematocrit as the dependent variable to obtain a relationship model.

3. The method according to claim 1, wherein The method of correcting the electrochemical detection result of the blood sample using the relationship model includes: Calculating the hematocrit value of the blood sample to be tested using the relationship model; The electrochemical detection result of the blood sample to be tested is corrected according to the hematocrit value.

4. The method according to claim 1, wherein After the electrochemical test strip using at least one electrode material is used to test blood samples with different hematocrits at two different frequencies to obtain test data of the blood samples with different hematocrits at two different frequencies, the method further includes: Determine whether there are outliers in the test data, If so, returning to the step of re-executing the step of using the electrochemical test strip of at least one electrode material to test blood samples with different hematocrits at two different frequencies to obtain test data of the blood samples with different hematocrits at two different frequencies; If not, proceed to the next step.

5. A hematocrit correction system, characterized in that: include: an acquisition unit, configured to test blood samples with different hematocrits at two different frequencies using an electrochemical test strip made of at least one electrode material, to obtain test data of the blood samples with different hematocrits at the two different frequencies, wherein the test data includes at least one of impedance, resistance, and phase; a calculation unit, configured to perform pairwise subtraction on the test data of the blood sample having the same hematocrit at two different frequency points corresponding to the electrochemical test strips of each electrode material to obtain a first variable, wherein the first variable is one of an impedance difference and a resistance difference; The calculation unit is further configured to perform pairwise division of the phase of the test data of the blood sample with the same hematocrit corresponding to each electrochemical test strip of the electrode material at a first frequency point of two different frequencies with the impedance or resistance of the test data at a second frequency point of the two different frequencies to obtain a second variable, wherein the first frequency point is higher than the second frequency point; a fitting unit, configured to fit the first variable or the second variable as an independent variable and the hematocrit as a dependent variable to obtain a relationship model; The correction unit is used to correct the electrochemical detection result of the blood sample to be tested by using the relationship model.

6. The system as claimed in claim 5, characterized in that The fitting unit, when executing the fitting to obtain the relationship model with the first variable or the second variable as the independent variable and the hematocrit as the dependent variable, is specifically configured to: A linear fitting is performed with the first variable or the second variable as the independent variable and the hematocrit as the dependent variable to obtain a relationship model.

7. The system as claimed in claim 5, characterized in that The correction unit, when executing the correction of the electrochemical detection result of the blood sample using the relationship model, is specifically used to: Calculating the hematocrit value of the blood sample to be tested using the relationship model; The electrochemical detection result of the blood sample to be tested is corrected according to the hematocrit value.

8. The system as claimed in claim 5, characterized in that Also includes: A judging unit, configured to judge whether there are abnormal values ​​in the test data; The acquisition unit is further configured to, when determining that an abnormal value exists in the test data, re-execute the electrochemical test strip using at least one electrode material to test blood samples with different hematocrits at two different frequencies to obtain test data of the blood samples with different hematocrits at two different frequencies; The calculation unit is further configured to, when it is determined that no abnormal value exists in the test data, perform pairwise subtraction of the test data of the blood samples with the same hematocrit corresponding to the electrochemical test strips of each electrode material at two different frequency points to obtain a first variable, or perform pairwise division of the phase in the test data of the blood samples with the same hematocrit corresponding to the electrochemical test strips of each electrode material at a first of the two different frequency points with the impedance or resistance in the test data at a second of the two different frequency points to obtain a second variable.

9. A hematocrit correction terminal, characterized in that: include: storage media and processors; The storage medium stores computer-executable instructions; The processor executes the computer-executable instructions stored in the storage medium to implement the method according to any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 4 when executed by a processor.

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