Method and system for measuring helicobacter pylori, electronic equipment and storage medium

Abstract

The invention discloses a helicobacter pylori measurement method and system, electronic equipment and a storage medium, and relates to the field of helicobacter pylori measurement. The method comprises the following steps: acquiring a signal amplitude of each acquisition signal in the gas collection card, and converting the signal amplitude into an energy spectrum array to obtain a standard card energy spectrum array; subtracting the background card array from the standard card energy spectrum array to obtain an energy distribution interval of the preset element in the energy spectrum array; determining a low-threshold channel address and a high-threshold channel address of the energy spectrum array, and determining whether the gas collection card is polluted or not according to a first energy spectrum count larger than the high-threshold channel address in the energy distribution interval; and when the gas collection card is not polluted, determining the content of the preset element according to the second energy spectrum count between the low-threshold channel address and the high-threshold channel address in the energy distribution interval, and determining the measurement result of the helicobacter pylori according to the content. By implementing the technical scheme provided by the invention, the accuracy and reliability of helicobacter pylori measurement are effectively improved.

Description

Technical Field

[0001] The present application relates to the technical field of Helicobacter pylori measurement, and in particular to a Helicobacter pylori measurement method, system, electronic device and storage medium. Background Art

[0002] In recent years, with the advancement of medical technology, the detection methods of Helicobacter pylori have been significantly developed. These methods not only improve the accuracy and reliability of detection, but also greatly shorten the detection time, providing important support for clinical diagnosis and treatment.

[0003] At present, the commonly used methods for Helicobacter pylori detection mainly include breath tests, serological tests, stool antigen tests and endoscopy. Although the above methods meet clinical needs to a certain extent, there are still some shortcomings. For example, breath tests are greatly affected by patients' diet and medication, and are prone to false negative or false positive results; serological tests cannot distinguish between current infections and past infections; the sensitivity and specificity of stool antigen tests need to be improved; and although endoscopic examinations are more accurate, they are complicated to operate and expensive, and are not suitable for large-scale screening.

[0004] Therefore, in practical applications, how to detect Helicobacter pylori efficiently and accurately remains an important topic. Summary of the invention

[0005] The present application provides a Helicobacter pylori measurement method, system, electronic device and storage medium, which can effectively improve the accuracy and reliability of Helicobacter pylori measurement and reduce the misjudgment rate.

[0006] In a first aspect of the present application, a method for measuring Helicobacter pylori is provided, which is applied to a Helicobacter pylori measuring instrument, and the method comprises: Acquire the signal amplitude of each collected signal in the gas collection card, and convert the signal amplitude into an energy spectrum array to obtain a standard card energy spectrum array; Obtaining the energy distribution interval of the preset element in the energy spectrum array by subtracting the background card array from the standard card energy spectrum array; Determine a low threshold channel address and a high threshold channel address of the energy spectrum array, and determine whether the gas collection card is contaminated according to a first energy spectrum count greater than the high threshold channel address in the energy distribution interval; When the gas collection card is not contaminated, the content of the preset element is determined according to the second energy spectrum count between the low threshold channel address and the high threshold channel address in the energy distribution interval, and the measurement result of Helicobacter pylori is determined according to the content.

[0007] Optionally, the acquiring the signal amplitude of each collected signal in the gas collection card, and converting the signal amplitude into an energy spectrum array to obtain a standard card energy spectrum array includes: Determine an initial array interval according to a resolution of the analog-to-digital converter, and initialize each element in the initial array interval to zero; The signal amplitude of each collected signal in the gas collecting card is collected by the analog-to-digital converter, the analog-to-digital converter value corresponding to each signal amplitude is used as the index of the energy spectrum array, and the array element value corresponding to the index position is increased by one; All collected signals are accumulated to form a standard card energy spectrum array.

[0008] Optionally, the step of obtaining the energy distribution interval of the preset element in the energy spectrum array by subtracting the background card array from the standard card energy spectrum array includes: Subtracting a first energy count of a target energy value in the standard card energy spectrum array from a second energy count of a target energy value in the background card array to obtain a target energy count of the target energy value, wherein the target energy value is any energy value in the standard card energy spectrum array; All target energy values ​​whose target energy count is greater than a first threshold are determined, and energy distribution intervals are constructed according to all the target energy values.

[0009] Optionally, determining the low threshold channel address and the high threshold channel address of the energy spectrum array includes: Converting the energy spectrum array of the energy distribution interval into a logarithmic form to obtain a new energy spectrum array; In the new energy spectrum array, the steepest rising edge and the steepest falling edge of the energy distribution are identified, the track address corresponding to the starting point of the steepest rising edge is determined as the low threshold track address, and the track address corresponding to the end point of the steepest falling edge is determined as the high threshold track address.

[0010] Optionally, determining whether the gas collection card is contaminated according to the first energy spectrum count greater than the high threshold channel address in the energy distribution interval includes: Determining whether the first energy spectrum count is greater than a second threshold; When the first energy spectrum count is greater than the second threshold, determining that the gas collection card is contaminated; When the first energy spectrum count is less than or equal to the second threshold, it is determined that the gas collection card is not contaminated.

[0011] Optionally, the method further includes: When the gas collection card is contaminated, calculating a first difference between the first energy spectrum count and the second threshold; A second difference between the second energy spectrum count and the first difference is calculated, and the content of the preset element is determined according to the second difference, and the measurement result of Helicobacter pylori is determined according to the content.

[0012] Optionally, the determination of the measurement result of Helicobacter pylori according to the content includes: comparing the content to a third threshold; When the content is less than the third threshold value, the measurement result of Helicobacter pylori is determined to be negative; When the content is greater than or equal to the third threshold, the measurement result of Helicobacter pylori is determined to be positive.

[0013] In a second aspect of the present application, a Helicobacter pylori measurement system is provided, comprising a collection module, an interval module, a detection module and a result module, wherein: A collection module configured to obtain the signal amplitude of each collection signal in the gas collection card, and convert the signal amplitude into an energy spectrum array to obtain a standard card energy spectrum array; An interval module, configured to obtain an energy distribution interval of a preset element in an energy spectrum array according to the standard card energy spectrum array minus the background card array; A detection module configured to determine a low threshold channel address and a high threshold channel address of an energy spectrum array, and determine whether the gas collection card is contaminated according to a first energy spectrum count greater than the high threshold channel address in the energy distribution interval; The result module is configured to determine the content of the preset element according to the second energy spectrum count between the low threshold channel address and the high threshold channel address in the energy distribution interval when the gas collection card is not contaminated, and determine the measurement result of Helicobacter pylori according to the content.

[0014] In the third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are both used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes any one of the methods described above.

[0015] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any of the methods described above is executed.

[0016] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By obtaining the signal amplitude of each collected signal in the gas collection card and converting it into an energy spectrum array, the standard card energy spectrum array is obtained. This conversion makes the signal processing more accurate and provides a reliable data basis for subsequent analysis. By subtracting the background card array from the standard card energy spectrum array, the preset element ( 14C) The energy distribution range in the energy spectrum array. This step helps to eliminate background noise and interference, and further improve the accuracy of the measurement; 2. The low threshold channel address and the high threshold channel address are set, and the first energy spectrum count greater than the high threshold channel address in the energy distribution interval is used to determine whether the gas collection card is contaminated. If the first energy spectrum count exceeds a certain threshold, it is considered that the gas collection card may be contaminated, which helps to find problems in time and avoid erroneous measurement results; 3. When the gas collection card is not contaminated, the content of the preset element is determined by calculating the second energy spectrum count between the low threshold channel address and the high threshold channel address in the energy distribution interval. This step realizes the quantitative analysis of Helicobacter pylori, making the measurement result more specific and reliable. According to the content of the preset element, the measurement result of Helicobacter pylori can be further determined. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the process of measuring Helicobacter pylori disclosed in the embodiment of the present application; Figure 2 It is the β source disclosed in the embodiment of this application 14 C Schematic diagram of the β-ray spectrum of carbon powder; Figure 3 It is a schematic diagram of the modules of the Helicobacter pylori measurement system disclosed in the embodiment of the present application; Figure 4 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present application.

[0018] Explanation of the reference numerals: 301, acquisition module; 302, interval module; 303, detection module; 304, result module; 401, processor; 402, communication bus; 403, user interface; 404, network interface; 405, memory. DETAILED DESCRIPTION

[0019] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0020] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0021] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0022] This embodiment discloses a method for measuring Helicobacter pylori, which is applied to a Helicobacter pylori measuring instrument. Figure 1 is a schematic diagram of the process of measuring Helicobacter pylori disclosed in the embodiment of the present application, such as Figure 1 As shown, the method comprises the following steps: S110, acquiring the signal amplitude of each collected signal in the gas collection card, and converting the signal amplitude into an energy spectrum array to obtain a standard card energy spectrum array; Gas collection cards are specially designed cards used to collect and store gases released from samples being tested (such as breath samples). These gases may contain radioactive isotopes associated with Helicobacter pylori (such as 14 C). When the gas collecting card is exposed to the sample to be tested and collects the gas, the gas will decay inside the gas collecting card and release radioactive particles. These particles will be captured by the detector (such as a scintillation detector or a semiconductor detector) on the gas collecting card and converted into electrical signals. Each collected electrical signal represents the energy deposition of a radioactive particle, and its signal amplitude reflects the energy size of the particle. Use appropriate electronic devices (such as analog-to-digital converters, ADC) to collect these electrical signals and measure their signal amplitudes. These signal amplitudes are usually expressed in the form of voltage or current. The energy spectrum array is an array used to store particle counts at different energy values. The index of the array represents the energy value of the particle (usually expressed as an address or energy channel), and the element value of the array represents the number of particles captured at this energy value. Map each collected signal amplitude to the corresponding index of the energy spectrum array. This usually involves converting the signal amplitude into an energy value and finding the corresponding energy spectrum array index. For each signal amplitude, the element value of the corresponding energy spectrum array index position is increased by one to indicate that a particle has been captured at this energy value. By performing the above conversion on all the collected signal amplitudes, a complete energy spectrum array can be formed, namely the standard card energy spectrum array. This array contains the energy distribution information of all particles captured from the gas collection card. The standard card energy spectrum array is the basis for subsequent analysis.

[0023] Optionally, the acquiring the signal amplitude of each collected signal in the gas collection card, and converting the signal amplitude into an energy spectrum array to obtain a standard card energy spectrum array includes: Determine an initial array interval according to a resolution of the analog-to-digital converter, and initialize each element in the initial array interval to zero; The signal amplitude of each collected signal in the gas collecting card is collected by the analog-to-digital converter, the analog-to-digital converter value corresponding to each signal amplitude is used as the index of the energy spectrum array, and the array element value corresponding to the index position is increased by one; All collected signals are accumulated to form a standard card energy spectrum array.

[0024] Determine an initial array range based on the resolution of the analog-to-digital converter (ADC). The resolution of the ADC determines the smallest signal change it can distinguish. For example, if the ADC resolution is 12 bits, then the signal range it can represent is from 0 to 4096 (2 12 ). Based on this resolution, create an array (or list) large enough, whose index range covers all possible values ​​that the ADC may output. Each element in the array is initialized to zero, indicating that no signal amplitude is recorded at the beginning. Use the ADC to collect the signal amplitude of each acquisition point in the gas collection card. These signal amplitudes represent the energy levels produced by different gas components or radioactive substances. Use each acquired signal amplitude as an index of the energy spectrum array. This means that if the signal amplitude output by the ADC is 100, then the value of the element indexed at 100 in the energy spectrum array is increased by one. For each specific signal amplitude (or energy level), record how many times this amplitude is detected. Through the above steps, each element in the array accumulates a value, which represents the number of times the corresponding signal amplitude (or energy level) is detected. When all the acquired signals are processed, this array forms a standard card energy spectrum array. This array can be used to analyze the composition of the gas or the energy distribution of the radioactive substance, because different gas components or radioactive substances will produce energy distributions with different characteristics.

[0025] Determining the initial array interval by the resolution of the analog-to-digital converter (ADC) can ensure that the signal amplitude is accurately quantized to the corresponding array index. The higher the resolution of the ADC, the smaller the difference in signal amplitude that can be distinguished, thereby improving the quantization accuracy. Using the signal amplitude as the index of the energy spectrum array and adding one to the array element value at the corresponding index position can intuitively represent the frequency or number of occurrences of different signal amplitudes. This form of energy spectrum array helps to analyze the distribution characteristics and statistical characteristics of the signal. By accumulating all the collected signals to form a standard card energy spectrum array, a large amount of data can be efficiently processed and representative energy spectrum characteristics can be obtained. This method can significantly improve data processing efficiency and accuracy when processing complex signal data. The obtained standard card energy spectrum array can be used as the basic data for subsequent analysis and comparison. By comparing with the energy spectrum array under different conditions, the change law, abnormal characteristics and other information of the signal can be analyzed, providing strong support for fault diagnosis, environmental monitoring and other fields.

[0026] S120, obtaining the energy distribution interval of the preset element in the energy spectrum array by subtracting the background card array from the standard card energy spectrum array; The standard card energy spectrum array is obtained by collecting the signal amplitude of each signal in the gas collection card and converting it into an energy spectrum form. It contains the particle energy distribution information generated by the decay of all radioactive isotopes in the sample being tested. The background card array is an energy spectrum array obtained by collecting gas collection cards that are not exposed to the sample being tested (i.e., blank or control samples). It represents the particle energy distribution generated by the decay of naturally existing radioactive isotopes in the environment when there is no sample being tested. The purpose of subtracting the background card array is to eliminate the influence of naturally existing radioactive isotopes in the environment on the measurement results, so as to more accurately identify the particles that are related to the preset elements (such as 14 C) related energy distribution interval. For each energy channel (or channel address) in the standard card energy spectrum array and the background card array, subtract the corresponding count in the background card array from the count in the standard card array. In this way, the difference represents the net count of the preset element in the sample under test in this energy channel. Through this step, a new energy spectrum array can be obtained, which only contains the energy distribution information related to the preset elements in the sample under test. This new energy spectrum array will be used for subsequent analysis and measurement. The energy distribution interval refers to the preset elements (such as 14 C) The continuous energy channel range occupied by the generated particle energy distribution. In the energy spectrum array obtained after subtracting the background card array, by looking for the continuous non-zero (or exceeding a certain threshold) energy channel range, the energy distribution range of the preset element can be determined. This range is usually located in a specific area of ​​the energy spectrum and is related to the type and decay characteristics of the preset element in the sample being tested. 14The energy of C is very weak, and its signal is concentrated in the low-energy region of the energy spectrum, that is, the front end of the array. 14 The peak energy of C's β-ray is 156.476keV, the average energy is 49.47keV, and the peak energy is about 80keV, which is a weak β-ray. Figure 2 It is the β source disclosed in the embodiment of this application 14 C detects the β-ray spectrum of carbon powder. And the higher the high pressure, 14 The maximum energy boundary of C moves to the right.

[0027] Optionally, the step of obtaining the energy distribution interval of the preset element in the energy spectrum array by subtracting the background card array from the standard card energy spectrum array includes: Subtracting a first energy count of a target energy value in the standard card energy spectrum array from a second energy count of a target energy value in the background card array to obtain a target energy count of the target energy value, wherein the target energy value is any energy value in the standard card energy spectrum array; All target energy values ​​whose target energy count is greater than a first threshold are determined, and energy distribution intervals are constructed according to all the target energy values.

[0028] "Target energy value" refers to any energy value in the standard card energy spectrum array. This energy value represents the amount of energy deposited by the radioactive particles captured by the detector. "First energy count" refers to the particle count corresponding to the target energy value in the standard card energy spectrum array. This count reflects the number of particles with this energy value produced by the decay of radioactive isotopes in the sample being tested. "Second energy count" refers to the particle count corresponding to the same target energy value in the background card array. This count reflects the number of particles with this energy value produced by the decay of radioactive isotopes naturally existing in the environment when there is no sample being tested. Subtract the first energy count in the standard card energy spectrum array from the second energy count in the background card array, and the resulting target energy count represents the preset element in the sample being tested ( 14 C) The net particle count generated at this energy value. The first threshold can be determined based on the detector performance and the characteristics of the sample being tested. Only when the target energy count is greater than the first threshold is the count at this energy value considered to be related to the preset element. Traverse all energy values ​​in the energy spectrum array of the standard card, calculate the target energy count at each energy value, and compare it with the first threshold. Filter out all energy values ​​whose target energy counts are greater than the first threshold. Sort all the filtered target energy values ​​according to energy size to form a continuous energy range. This range is the energy distribution interval of the preset element in the energy spectrum array. This interval usually includes all energy values ​​related to the preset element in the sample being tested, providing important information for subsequent measurement and analysis.

[0029] By subtracting the first energy count of each target energy value in the standard card energy spectrum array from the second energy count of the corresponding target energy value in the background card array, the target energy count of each target energy value can be accurately calculated. This process eliminates the influence of background noise and background radiation, making the identification of target energy values ​​more accurate. By determining all target energy values ​​whose target energy counts are greater than the first threshold, it is possible to screen out those that are related to the preset elements (such as 14 C) related signals. This step improves the sensitivity of the measurement, so that even if the content of the target element is low, it can be effectively identified. The energy distribution interval is constructed based on all target energy values ​​(i.e., the energy value whose target energy count is greater than the first threshold), which can accurately reflect the energy distribution characteristics of the preset element in the energy spectrum array. This interval provides a reliable basis for subsequent analysis and measurement.

[0030] S130, determining a low threshold channel address and a high threshold channel address of the energy spectrum array, and determining whether the gas collection card is contaminated according to a first energy spectrum count greater than the high threshold channel address in the energy distribution interval; The energy spectrum array usually records the energy counts corresponding to each channel address. In order to analyze the energy distribution more intuitively, especially for 14 For radioactive isotopes such as C that have a specific energy signature, logarithms (base 10) are often applied to the energy spectrum array to more easily identify characteristic regions of the energy distribution. 14 The place where the net logarithmic spectrum of C approaches 0 is 14 The left boundary L is the starting point of the energy zone boundary, called the low threshold track address, and the right boundary H is the end point of the energy zone boundary, called the high threshold track address. The energy zones to the left of L and to the right of H are non 14 C energy range. The energy spectrum counts below L (to the left of L) are considered as noise counts. These counts do not include relevant 14 The energy spectrum counts above H (to the right of H) are considered as non-significant. 14 C. These signals may be caused by other nuclide contamination or abnormal events. When the counts of these high-energy signals increase abnormally, it can be considered that the gas collector may be contaminated. Specifically, by monitoring the first energy spectrum count greater than the H channel address, it can be determined whether the gas collector is contaminated. When it is determined that the gas collector is contaminated, the high-energy false counts caused by contamination need to be deducted from the total counts between LH. These false counts will interfere with the 14 An accurate measurement of the true concentration of C. By deducting the false counts, a more accurate 14 C measurement results.

[0031] Optionally, determining the low threshold channel address and the high threshold channel address of the energy spectrum array includes: Converting the energy spectrum array of the energy distribution interval into a logarithmic form to obtain a new energy spectrum array; In the new energy spectrum array, the steepest rising edge and the steepest falling edge of the energy distribution are identified, the track address corresponding to the starting point of the steepest rising edge is determined as the low threshold track address, and the track address corresponding to the end point of the steepest falling edge is determined as the high threshold track address.

[0032] In the new energy spectrum array, the energy distribution usually presents specific characteristics. For radioactive isotopes, their energy distribution is usually most concentrated in a specific energy range, forming an obvious peak area. The steepest rising edge refers to the part where the count increases the fastest when the energy distribution transitions from the low energy area to the high energy area. The starting point of this rising edge usually corresponds to the starting point of the energy distribution, that is, the low threshold channel address. The steepest falling edge refers to the part where the count decreases the fastest when the energy distribution transitions from the high energy area to the low energy area. The end point of this falling edge usually corresponds to the end point of the energy distribution, that is, the high threshold channel address. By identifying the starting point of the steepest rising edge and the end point of the steepest falling edge, the low threshold channel address and the high threshold channel address can be determined. These two threshold channels will be used to define the effective interval of the energy distribution, thereby extracting the relevant information. 14 C related valid count.

[0033] Converting the energy spectrum array to logarithmic form can significantly enhance the visualization of the energy distribution, making the difference between the energy peak and the background noise more obvious. This helps to more accurately identify the characteristic area of ​​the energy distribution, providing strong support for the subsequent determination of the threshold channel address. By identifying the steepest rising edge and the steepest falling edge of the energy distribution, the low threshold channel address and the high threshold channel address can be accurately determined. This method avoids the subjectivity and uncertainty of manually setting the threshold and improves the accuracy and reliability of threshold determination. The threshold channel address is determined by mathematical operations and automatic recognition technology, avoiding tedious manual operations and optimizing the data processing process. This helps to improve measurement efficiency and accuracy while reducing the risk of human error. Accurately determined low threshold channel addresses and high threshold channel addresses can ensure that only valid energy distribution intervals are analyzed, thereby avoiding interference from background noise and other irrelevant signals. This helps to enhance the robustness and reliability of the measurement results and provide strong support for subsequent analysis and decision-making.

[0034] Optionally, determining whether the gas collection card is contaminated according to the first energy spectrum count greater than the high threshold channel address in the energy distribution interval includes: Determining whether the first energy spectrum count is greater than a second threshold; When the first energy spectrum count is greater than the second threshold, determining that the gas collection card is contaminated; When the first energy spectrum count is less than or equal to the second threshold, it is determined that the gas collection card is not contaminated.

[0035] In the determined energy distribution interval, especially in the area above the high threshold channel address, calculate the first energy spectrum count. This count represents the intensity of high energy events, which may be caused by contamination or other abnormal signals. Set a reasonable second threshold based on actual application requirements, instrument performance, background noise level and other factors. The second threshold is used to distinguish normal signals from possible contaminated signals. If the first energy spectrum count is greater than the second threshold, it indicates that the gas collection card may be contaminated. At this time, it is necessary to remove the count generated by the contamination during the calculation. If the first energy spectrum count is less than or equal to the second threshold, it indicates that the gas collection card is not contaminated and can continue to be used or proceed to the next step of analysis.

[0036] By setting the second threshold and comparing the first energy spectrum count with it, it is possible to more accurately determine whether the gas collection card is contaminated. This method avoids the one-sidedness of judging based on a single count value and improves the accuracy and reliability of the judgment. The contamination status of the gas collection card is automatically determined through mathematical operations and threshold judgments, avoiding tedious manual operations and the subjectivity of human judgment. This helps to optimize the pollution monitoring process and improve monitoring efficiency and accuracy. By reasonably setting the second threshold, the false alarm rate and the missed alarm rate can be balanced. A threshold that is too high may lead to missed alarms, that is, failure to detect contamination in time; while a threshold that is too low may lead to false alarms, that is, mistakenly believing that the gas collection card is contaminated. By accurately setting the threshold, the false alarm and missed alarm rates can be reduced, and the accuracy and reliability of the judgment can be improved.

[0037] S140. When the gas collection card is not contaminated, determine the content of the preset element according to the second energy spectrum count between the low threshold channel address and the high threshold channel address in the energy distribution interval, and determine the measurement result of Helicobacter pylori according to the content.

[0038] By comparing the first energy spectrum count greater than the high threshold channel address with the preset second threshold, it can be determined whether the gas collection card is contaminated. If the first energy spectrum count does not exceed the second threshold, it is confirmed that the gas collection card is in an uncontaminated state. After confirming that the gas collection card is uncontaminated, the energy spectrum interval between the low threshold channel address and the high threshold channel address is focused on. This interval usually contains energy distribution related to the preset element (such as the radioactive isotope used to label Helicobacter pylori). From the energy spectrum array, the second energy spectrum count of this specific interval is extracted. This count reflects the cumulative amount of the preset element on the gas collection card and is closely related to the content of Helicobacter pylori. Using a known calibration curve or mathematical model, the second energy spectrum count can be converted into the accurate content of the preset element. This process usually involves factors such as the sensitivity of the energy spectrometer, the energy resolution, and the decay characteristics of the preset element. Based on the content of the preset element, the measurement result of Helicobacter pylori can be inferred. This inference may be based on the quantitative relationship between the preset element and Helicobacter pylori, such as the binding ratio of the radioactive isotope to Helicobacter pylori achieved by labeling technology. Present the Helicobacter pylori measurement results in an appropriate form (such as numerical values, charts or reports) for further analysis and decision-making.

[0039] Optionally, the determination of the measurement result of Helicobacter pylori according to the content includes: comparing the content to a third threshold; When the content is less than the third threshold value, the measurement result of Helicobacter pylori is determined to be negative; When the content is greater than or equal to the third threshold, the measurement result of Helicobacter pylori is determined to be positive.

[0040] For example, the third threshold is set to 100, which is a critical threshold value used to distinguish whether the measurement result of Helicobacter pylori is negative or positive. The setting of the third threshold is usually based on experimental data, statistical analysis, and clinical needs. After the third threshold is determined, the preset element obtained from the energy spectrum analysis (in this case, 14 C) is compared with the third threshold. When DPM ( 14 When DPM is greater than or equal to the third threshold, the measurement result of Helicobacter pylori is determined to be negative. This means that under the current measurement conditions, sufficient C-14 radioactive signals are not detected to confirm the presence of Helicobacter pylori. When DPM is greater than or equal to the third threshold, the measurement result of Helicobacter pylori is determined to be positive. This indicates that under the current measurement conditions, sufficient C-14 radioactive signals are detected to confirm the presence of Helicobacter pylori.

[0041] By setting a clear third threshold and comparing the actual measured content with it, the measurement results of Helicobacter pylori can be judged more accurately. This method avoids the subjectivity and uncertainty of judgment based on experience or intuitive feelings alone, and improves the accuracy and reliability of judgment. By setting a fixed third threshold, a unified standard is provided for the measurement of Helicobacter pylori. This helps to standardize the measurement process and ensure the consistency and comparability of measurement results between different times, different people, and different equipment. The measurement results can be obtained through simple comparison operations without complex calculations or analysis processes. This helps to improve measurement efficiency and makes the measurement of Helicobacter pylori faster and more convenient.

[0042] Optionally, the method further includes: When the gas collection card is contaminated, calculating a first difference between the first energy spectrum count and the second threshold; A second difference between the second energy spectrum count and the first difference is calculated, and the content of the preset element is determined according to the second difference, and the measurement result of Helicobacter pylori is determined according to the content.

[0043] After confirming that the gas collection card is contaminated, the difference between the first energy spectrum count and the second threshold value, i.e., the first difference value, is calculated. The first difference value reflects the degree of influence of other factors (such as background noise, impurities, etc.) on the energy spectrum count on the gas collection card in addition to the preset element. By calculating the first difference value, this part of the influence can be quantified and taken into account in subsequent calculations. The difference between the second energy spectrum count located between the low threshold channel address and the high threshold channel address and the first difference value is calculated, i.e., the second difference value. The second difference value actually reflects the true accumulation of the preset element on the gas collection card, because it has excluded the influence of factors such as background noise and impurities. Using the second difference value, the accurate content of the preset element can be calculated by combining factors such as the sensitivity, energy resolution, and decay characteristics of the preset element of the energy spectrometer through a known calibration curve or mathematical model. Finally, based on the content of the preset element, the measurement result of Helicobacter pylori can be inferred. This inference may be based on the quantitative relationship between the preset element and Helicobacter pylori, such as the binding ratio of the radioactive isotope to Helicobacter pylori achieved by labeling technology. If the content of the preset element exceeds a certain threshold (which may be based on experimental data or statistical analysis), the measurement result of Helicobacter pylori is judged to be positive; otherwise, it is judged to be negative.

[0044] By calculating the first difference (i.e., the difference between the first energy spectrum count and the second threshold) and the second difference (i.e., the difference between the second energy spectrum count and the first difference), the preset element (e.g., 14C) The actual content on the gas collection card. This method reduces the measurement deviation caused by instrument errors, environmental factors, etc., and improves the measurement accuracy. By introducing the difference calculation, the measurement process is simplified. Without the need for additional complex operations, the content of the preset elements can be obtained through simple mathematical operations, and the measurement results of Helicobacter pylori can be judged accordingly. This helps save measurement time, reduce operational difficulty, and improve measurement efficiency.

[0045] The Helicobacter pylori measuring instrument in the embodiment of the present application uses a single photomultiplier tube (PMT) coupled with a thin-layer plastic scintillator as a photoelectric detection component. The PMT and the thin-layer plastic scintillator are coupled through optical silicone grease. The detection distance from the measuring component to the measured object is reduced to the shortest under existing conditions. Under the same detection conditions, the shorter the detection distance, the higher the detection efficiency, thereby ensuring high detection efficiency. The embodiment of the present application is based on the energy discrimination ability of the thin-layer plastic scintillator and the PMT detector. The greater the energy of the ray, the higher the signal amplitude. By collecting the amplitude of each signal, the detection efficiency is 14 C standard card accurate division 14 The distribution interval of the C signal is used to identify and deduct non 14 C signal. And when the gas collection card is contaminated by radon daughters or other nuclides, it can be effectively identified and deducted, ensuring the accuracy of the measurement results. The use of thinner plastic flash can not only meet 14 The energy deposition of β-rays of C can reduce the response to the environmental background rays, and by minimizing the detection distance and appropriately increasing the shielding material, the background can be lower than that of the traditional GM tube, but the efficiency is higher. Compared with the traditional GM tube measurement method, the embodiment of the present application not only reduces the background, but also improves the detection efficiency, and can also deduct the false counts caused by non-14C signals.

[0046] This embodiment also discloses a Helicobacter pylori measurement system. Figure 3 Schematic diagram of the module of the Helicobacter pylori measurement system disclosed in the embodiment of the present application, such as Figure 3 As shown, the system includes a collection module 301, an interval module 302, a detection module 303 and a result module 304, wherein: The acquisition module 301 is configured to obtain the signal amplitude of each acquisition signal in the gas collection card, and convert the signal amplitude into an energy spectrum array to obtain a standard card energy spectrum array; An interval module 302 is configured to obtain an energy distribution interval of a preset element in an energy spectrum array by subtracting a background card array from the standard card energy spectrum array; A detection module 303 is configured to determine a low threshold channel address and a high threshold channel address of the energy spectrum array, and determine whether the gas collection card is contaminated according to a first energy spectrum count greater than the high threshold channel address in the energy distribution interval; The result module 304 is configured to determine the content of the preset element according to the second energy spectrum count between the low threshold channel address and the high threshold channel address in the energy distribution interval when the gas collection card is not contaminated, and determine the measurement result of Helicobacter pylori according to the content.

[0047] Optionally, the acquisition module 301 is configured to: Determine an initial array interval according to a resolution of the analog-to-digital converter, and initialize each element in the initial array interval to zero; The signal amplitude of each collected signal in the gas collection card is collected by the analog-to-digital converter, each signal amplitude is used as an index of the energy spectrum array, and the array element value corresponding to the index position is increased by one; All collected signals are accumulated to form a standard card energy spectrum array.

[0048] Optionally, the interval module 302 is configured to: Subtracting a first energy count of a target energy value in the standard card energy spectrum array from a second energy count of a target energy value in the background card array to obtain a target energy count of the target energy value, wherein the target energy value is any energy value in the standard card energy spectrum array; All target energy values ​​whose target energy count is greater than a first threshold are determined, and energy distribution intervals are constructed according to all the target energy values.

[0049] Optionally, the detection module 303 is configured to: Converting the energy spectrum array of the energy distribution interval into a logarithmic form to obtain a new energy spectrum array; In the new energy spectrum array, the steepest rising edge and the steepest falling edge of the energy distribution are identified, the track address corresponding to the starting point of the steepest rising edge is determined as the low threshold track address, and the track address corresponding to the end point of the steepest falling edge is determined as the high threshold track address.

[0050] Optionally, the detection module 303 is configured to: Determining whether the first energy spectrum count is greater than a second threshold; When the first energy spectrum count is greater than the second threshold, determining that the gas collection card is contaminated; When the first energy spectrum count is less than or equal to the second threshold, it is determined that the gas collection card is not contaminated.

[0051] Optionally, the system further includes an adjustment module, wherein the adjustment module is configured to: When the gas collection card is contaminated, calculating a first difference between the first energy spectrum count and the second threshold; A second difference between the second energy spectrum count and the first difference is calculated, and the content of the preset element is determined according to the second difference, and the measurement result of Helicobacter pylori is determined according to the content.

[0052] Optionally, the result module 304 is configured to: comparing the content to a third threshold; When the content is less than the third threshold value, the measurement result of Helicobacter pylori is determined to be negative; When the content is greater than or equal to the third threshold, the measurement result of Helicobacter pylori is determined to be positive.

[0053] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0054] This embodiment also discloses an electronic device, referring to Figure 4 The electronic device may include: at least one processor 401 , at least one communication bus 402 , a user interface 403 , a network interface 404 , and at least one memory 405 .

[0055] The communication bus 402 is used to realize the connection and communication between these components.

[0056] The user interface 403 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 403 may also include a standard wired interface and a wireless interface.

[0057] The network interface 404 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0058] Among them, the processor 401 may include one or more processing cores. The processor 401 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 405, and calling data stored in the memory 405. Optionally, the processor 401 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 401 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 401, and it can be implemented separately through a chip.

[0059] Among them, the memory 405 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 405 includes a non-transitory computer-readable storage medium. The memory 405 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 405 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 405 may also be optionally at least one storage device located away from the aforementioned processor 401. As Figure 4 As shown, the memory 405 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program for the Helicobacter pylori measurement method.

[0060] exist Figure 4In the electronic device shown, the user interface 403 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 401 can be used to call the application program for storing the Helicobacter pylori measurement method in the memory 405. When executed by one or more processors 401, the electronic device executes one or more methods in the above-mentioned embodiments.

[0061] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0062] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0063] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0064] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0065] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0066] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory 405, including a number of instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned memory 405 includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk.

[0067] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure. The description and examples are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for measuring Helicobacter pylori, characterized in that: Applied to a Helicobacter pylori measuring instrument, the method comprises: Acquire the signal amplitude of each collected signal in the gas collection card, and convert the signal amplitude into an energy spectrum array to obtain a standard card energy spectrum array; Obtaining the energy distribution interval of the preset element in the energy spectrum array by subtracting the background card array from the standard card energy spectrum array; Determine a low threshold channel address and a high threshold channel address of the energy spectrum array, and determine whether the gas collection card is contaminated according to a first energy spectrum count greater than the high threshold channel address in the energy distribution interval; When the gas collection card is not contaminated, the content of the preset element is determined according to the second energy spectrum count between the low threshold channel address and the high threshold channel address in the energy distribution interval, and the measurement result of Helicobacter pylori is determined according to the content.

2. The method for measuring Helicobacter pylori according to claim 1, characterized in that: The obtaining of the signal amplitude of each collected signal in the gas collection card and converting the signal amplitude into an energy spectrum array to obtain an energy spectrum array of a standard card comprises: Determine an initial array interval according to a resolution of the analog-to-digital converter, and initialize each element in the initial array interval to zero; The signal amplitude of each collected signal in the gas collecting card is collected by the analog-to-digital converter, the analog-to-digital converter value corresponding to each signal amplitude is used as the index of the energy spectrum array, and the array element value corresponding to the index position is increased by one; All collected signals are accumulated to form a standard card energy spectrum array.

3. The method for measuring Helicobacter pylori according to claim 1, characterized in that: The step of obtaining the energy distribution interval of the preset element in the energy spectrum array by subtracting the background card array from the standard card energy spectrum array comprises: Subtracting a first energy count of a target energy value in the standard card energy spectrum array from a second energy count of a target energy value in the background card array to obtain a target energy count of the target energy value, wherein the target energy value is any energy value in the standard card energy spectrum array; All target energy values ​​whose target energy count is greater than a first threshold are determined, and energy distribution intervals are constructed according to all the target energy values.

4. The method for measuring Helicobacter pylori according to claim 1, characterized in that: The step of determining the low threshold channel address and the high threshold channel address of the energy spectrum array comprises: Converting the energy spectrum array of the energy distribution interval into a logarithmic form to obtain a new energy spectrum array; In the new energy spectrum array, the steepest rising edge and the steepest falling edge of the energy distribution are identified, the track address corresponding to the starting point of the steepest rising edge is determined as the low threshold track address, and the track address corresponding to the end point of the steepest falling edge is determined as the high threshold track address.

5. The method for measuring Helicobacter pylori according to claim 1, characterized in that: The determining whether the gas collecting card is contaminated according to the first energy spectrum count greater than the high threshold address in the energy distribution interval comprises: Determining whether the first energy spectrum count is greater than a second threshold; When the first energy spectrum count is greater than the second threshold, determining that the gas collection card is contaminated; When the first energy spectrum count is less than or equal to the second threshold, it is determined that the gas collection card is not contaminated.

6. The method for measuring Helicobacter pylori according to claim 5, characterized in that: The method further comprises: When the gas collection card is contaminated, calculating a first difference between the first energy spectrum count and the second threshold; A second difference between the second energy spectrum count and the first difference is calculated, and the content of the preset element is determined according to the second difference, and the measurement result of Helicobacter pylori is determined according to the content.

7. The method for measuring Helicobacter pylori according to claim 1, characterized in that: The measurement result of Helicobacter pylori determined according to the content includes: comparing the content to a third threshold; When the content is less than the third threshold value, the measurement result of Helicobacter pylori is determined to be negative; When the content is greater than or equal to the third threshold, the measurement result of Helicobacter pylori is determined to be positive.

8. A Helicobacter pylori measurement system, characterized in that: It includes acquisition module, interval module, detection module and result module, among which: A collection module configured to obtain the signal amplitude of each collection signal in the gas collection card, and convert the signal amplitude into an energy spectrum array to obtain a standard card energy spectrum array; An interval module, configured to obtain an energy distribution interval of a preset element in an energy spectrum array according to the standard card energy spectrum array minus the background card array; A detection module configured to determine a low threshold channel address and a high threshold channel address of an energy spectrum array, and determine whether the gas collection card is contaminated according to a first energy spectrum count greater than the high threshold channel address in the energy distribution interval; The result module is configured to determine the content of the preset element according to the second energy spectrum count between the low threshold channel address and the high threshold channel address in the energy distribution interval when the gas collection card is not contaminated, and determine the measurement result of Helicobacter pylori according to the content.

9. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are both used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is executed.

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