A blood routine test method, device and storage medium

Abstract

The application discloses a blood routine detection method and device and a storage medium, and relates to the technical field of blood routine detection. The method comprises the following steps: acquiring a photoelectric image of blood of a patient mixed with different dry reaction reagents; introducing the photoelectric image into a pre-trained blood routine index analysis model to acquire a current blood index of the patient; calculating a relative change rate of the current blood index of the patient and a historical blood index of the patient; determining whether the relative change rate is greater than a preset abnormal threshold; if yes, issuing an abnormal alarm; otherwise, determining that the blood index is normal. According to the photoelectric image of the blood of the patient mixed with the different dry reaction reagents, the current blood index of the patient is acquired, the convenient and efficient detection of the blood index of the patient is realized, the determination of whether the current blood index of the patient is normal is performed by referring to the historical blood index of the patient, and meanwhile, the individual differences of the patient are adapted, and clear and convenient-to-understand blood routine detection results are provided for the patient.

Description

Technical Field

[0001] This application relates to the field of routine blood test technology, specifically a routine blood test method, equipment, and storage medium. Background Technology

[0002] A complete blood count (CBC) is a fundamental and core examination for clinical screening of infections, anemia, coagulation disorders, and hematological diseases. Currently, mainstream CBC testing protocols heavily rely on large-scale blood analysis equipment in hospitals, which has the following drawbacks in practical use:

[0003] Patients need to go to the hospital to queue for blood collection and machine testing, which is time-consuming and laborious. It cannot meet the needs of families for routine, high-frequency, and rapid self-testing. Moreover, the existing test results only rely on general medical fixed thresholds to determine abnormal indicators, ignoring the differences in the user's individual physiological baseline, which makes it difficult for patients to effectively understand the blood routine test results. Summary of the Invention

[0004] In view of the deficiencies in the existing technology, the technical problem to be solved by this application is: how to realize convenient blood routine testing for patients and help patients effectively understand the test results.

[0005] To achieve the above objectives, in a first aspect, embodiments of this application provide a method for routine blood testing, the method comprising the following steps:

[0006] Acquire photoelectric images of patient blood mixed with different dry reaction reagents;

[0007] The photoelectric images are imported into a pre-trained blood routine index analysis model to obtain the patient's current blood indicators;

[0008] Calculate the relative rate of change of the patient's current blood indicators compared to the patient's historical blood indicators;

[0009] Determine if the relative rate of change is greater than a preset abnormal threshold. If so, issue an abnormal alarm; otherwise, determine that the blood indicators are normal.

[0010] In conjunction with the first aspect, in one embodiment, the method of acquiring photoelectric images of patient blood mixed with different dry reaction reagents includes:

[0011] A sampling chip with several microfluidic channels was constructed, and different dry reaction reagents were pre-immobilized in different microfluidic channels. The dry reaction reagents included dry leukocyte lysis staining reagent, dry hypotonic erythrocyte buffer reagent, dry platelet protective staining pre-prepared reagent, and dry hemoglobin colorimetric lysis reagent.

[0012] After blood is dripped into the sampling chip, photoelectric images of the corresponding microfluidic channels are acquired under different light sources.

[0013] In conjunction with the first aspect, in one embodiment, the photoelectric image includes a white blood cell photoelectric image, a red blood cell photoelectric image, a platelet photoelectric image, and a hemoglobin concentration photoelectric image;

[0014] The photoelectric image of the white blood cells was acquired under a 447nm narrowband monochromatic laser light source;

[0015] The red blood cell photoelectric image was acquired under a 630nm red monochromatic LED light source;

[0016] The platelet photoelectric images were acquired under a 650nm narrowband monochromatic light source.

[0017] The photoelectric image of hemoglobin concentration was acquired under a 540nm blue LED light source.

[0018] In conjunction with the first aspect, in one embodiment, the blood routine index analysis model includes a white blood cell analysis model, a red blood cell analysis model, a platelet analysis model, and a hemoglobin concentration analysis model;

[0019] The patient's current blood parameters include the absolute number of white blood cells per unit volume, the absolute number of red blood cells per unit volume, the absolute number of platelets per unit volume, and the hemoglobin concentration.

[0020] In conjunction with the first aspect, in one embodiment, the leukocyte analysis model takes a leukocyte photoelectric image as input and outputs the absolute value of leukocytes per unit volume;

[0021] The red blood cell analysis model takes red blood cell photoelectric images as input and outputs the absolute value of red blood cells per unit volume;

[0022] The platelet analysis model takes platelet photoelectric images as input and outputs the absolute value of platelets per unit volume.

[0023] The hemoglobin concentration analysis model takes a photoelectric image of hemoglobin concentration as input and outputs hemoglobin concentration.

[0024] In conjunction with the first aspect, in one embodiment, the patient's historical blood indicators are obtained from the most recent hospital blood routine test report within a set time period for the patient.

[0025] In conjunction with the first aspect, in one embodiment, before calculating the relative change rate between the patient's current blood indicators and the patient's historical blood indicators, it is determined whether the patient's current blood indicators meet the preset emergency medical treatment criteria. If so, an emergency medical treatment prompt is directly triggered; otherwise, the relative change rate between the patient's current blood indicators and the patient's historical blood indicators is calculated.

[0026] In conjunction with the first aspect, in one embodiment, it further includes:

[0027] If the normal fluctuation threshold < relative change rate ≤ preset abnormal threshold, the blood indicators are determined to be normal, and the patient is indicated to have slight abnormal fluctuations.

[0028] If the relative rate of change is less than or equal to the normal fluctuation threshold, then the blood indicators are considered normal.

[0029] Secondly, embodiments of this application provide a routine blood count testing device, the routine blood count testing device including a processor, a memory, and a routine blood count testing program stored in the memory and executable by the processor, wherein when the routine blood count testing program is executed by the processor, the method provided in the first aspect is implemented.

[0030] Thirdly, embodiments of this application provide a storage medium storing a routine blood count testing program, which, when executed, implements the method provided in the first aspect.

[0031] Compared with the prior art, the advantages of this application are:

[0032] Based on the photoelectric image of the patient's blood after mixing with different dry reaction reagents, the system obtains the patient's current blood indicators, enabling convenient and efficient detection of these indicators. At the same time, it refers to the patient's historical blood indicators to determine whether the current blood indicators are normal. While adapting to individual patient differences, it provides patients with clear and easy-to-understand blood routine test results. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a flowchart of the blood routine test method in the embodiments of this application;

[0035] Figure 2 This is a schematic diagram of the hardware structure of the blood routine testing device involved in the embodiments of this application. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0037] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.

[0038] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0039] Firstly, embodiments of this application provide a method for routine blood testing, referring to... Figure 1 The method includes the following steps:

[0040] S1. Acquire photoelectric images of the patient's blood after mixing with different dry reaction reagents;

[0041] S2. Import the photoelectric image into the pre-trained blood routine index analysis model (white blood cell analysis model, red blood cell analysis model, platelet analysis model and hemoglobin concentration analysis model) to obtain the patient's current blood index (absolute value of white blood cells per unit volume, absolute value of red blood cells per unit volume, absolute value of platelets per unit volume, and hemoglobin concentration).

[0042] S3. Obtain the patient's historical blood indicators based on the most recent hospital blood routine test report within the time period (nearly one month) set by the patient;

[0043] S4. Calculate the relative rate of change of the patient's current blood indicators and the patient's historical blood indicators;

[0044] S5. Determine whether the relative rate of change is greater than the preset abnormal threshold (40%). If so, issue an abnormal alarm; otherwise, determine that the blood indicators are normal.

[0045] By using photoelectric images of the patient's blood mixed with different dry reaction reagents, the system obtains the patient's current blood indicators, enabling convenient and efficient detection of these indicators. Simultaneously, it refers to the patient's historical blood indicators to determine whether the current indicators are normal. This approach adapts to individual patient differences while providing clear and easy-to-understand blood routine test results.

[0046] In one embodiment, the method for acquiring photoelectric images of a patient's blood mixed with different dry reaction reagents includes:

[0047] A sampling chip with several microfluidic channels was constructed, and different dry reaction reagents were pre-immobilized in different microfluidic channels;

[0048] After blood is dripped into the sampling chip, photoelectric images of the corresponding microfluidic channels are acquired under different light sources.

[0049] Furthermore, the dry reaction reagents include dry leukocyte lysis staining reagent (JXK-316), dry hypotonic erythrocyte buffer reagent (JXK-938), dry platelet protective staining pre-prepared reagent (ClearLLab 10C), and dry hemoglobin colorimetric lysis reagent.

[0050] Based on this, the process of acquiring photoelectric images of corresponding microfluidic channels under different light sources includes:

[0051] When blood flows through a microfluidic channel equipped with a dry leukocyte lysis staining reagent, photoelectric images of leukocytes are acquired under a 447nm narrow-band monochromatic laser light source to statistically analyze the number, size, and distribution characteristics of leukocyte diffraction spots within the field of view.

[0052] As blood flows through a microfluidic channel equipped with a dry hypotonic erythrocyte buffer, photoelectric images of erythrocytes are acquired under a 630nm red monochromatic LED light source to capture the optical characteristics of single erythrocyte particles.

[0053] As blood flows through a microfluidic channel equipped with a pre-prepared dry platelet protective staining reagent, photoelectric images of platelets are acquired using light scattering imaging under a 650nm narrow-band monochromatic light source.

[0054] As blood flows through a microfluidic channel equipped with a dry hemoglobin chromogenic lysis reagent, photoelectric images of hemoglobin concentration are acquired under a 540nm blue LED light source.

[0055] This method of constructing a sampling chip with several microfluidic channels enables the shunting and sampling of patient blood. Combined with the dry reaction reagents built into the microfluidic channels, it allows for the acquisition of different photoelectric images, providing convenient conditions for subsequent blood indicator testing.

[0056] In one embodiment, the process of importing photoelectric images into a pre-trained blood routine index analysis model to obtain the patient's current blood indicators includes:

[0057] The photoelectric image of white blood cells is input into the white blood cell analysis model to obtain the absolute value of white blood cells per unit volume. Specifically, the photoelectric image of white blood cells is denoised to remove impurity spots and static background light and shadow interference. After filtering by spot particle size threshold and matching standard white blood cell imaging features, effective white blood cell particles are locked and counted one by one to obtain the number of effective white blood cell particles. The result of dividing the effective white blood cell particles by the volume of the calibrated sample in the microfluidic channel is taken as the absolute value of white blood cells per unit volume.

[0058] The red blood cell photoelectric image is input into the red blood cell analysis model to obtain the absolute value of red blood cells per unit volume. Specifically, the red blood cell photoelectric image is subjected to high-frequency filtering to filter out cell debris and stray light interference signals. Based on the scattering signal, morphologically intact and signal-characteristically qualified active red blood cells are selected and counted one by one to obtain the effective number of red blood cells. The result of dividing the effective number of red blood cells by the volume of the calibrated sample in the microfluidic channel is taken as the absolute value of red blood cells per unit volume.

[0059] The platelet photoelectric image is input into the platelet analysis model to obtain the absolute value of platelets per unit volume. Specifically, the large particle masking algorithm is used to remove large particle (white blood cell and red blood cell) regions in the platelet photoelectric image. Based on the platelet optical scattering threshold and staining characteristics, effective platelet particles are screened to exclude protein impurities and cell debris interference. The total number of platelet particles is counted, and the result of dividing it by the volume of the microfluidic channel calibrated sample is taken as the absolute value of platelets per unit volume.

[0060] The photoelectric image of hemoglobin concentration is input into the hemoglobin concentration analysis model to obtain the hemoglobin concentration. Specifically, the photoelectric image of hemoglobin concentration is acquired after blood flows into a microfluidic channel containing a dry hemoglobin colorimetric lysis reagent for a preset time (10s-15s) to obtain an effective photoelectric image with uniform color development and stable grayscale. Then, the pixel grayscale mean of the hemoglobin concentration photoelectric image is calculated and converted into an equivalent absorbance parameter. The hemoglobin concentration is obtained according to the pre-established linear regression standard curve of absorbance-hemoglobin concentration.

[0061] This allows for rapid detection of corresponding blood indicators based on different photoelectric images, effectively meeting the needs of families for routine, high-frequency, and rapid self-testing.

[0062] In one embodiment, before calculating the relative rate of change between the patient's current blood indicators and their historical blood indicators, if the patient's current blood indicators reach a preset emergency medical treatment standard, an emergency medical treatment prompt is directly triggered, such as if the absolute white blood cell count per unit volume is <2.0 × 10⁻⁶. 9 / L (may lead to immune collapse and sepsis), or an absolute white blood cell count per unit volume >30.0×10 9 / L (may indicate leukemia-like reaction, acute leukemia, or severe infection), or absolute red blood cell count per unit volume <2.5×10 12 / L (moderate anemia, which may lead to tissue hypoxia and heart failure risk), or absolute red blood cell count per unit volume >6.5×10 12 / L (may indicate polycythemia vera, high blood viscosity, and a significantly increased risk of thrombosis), or an absolute platelet count per unit volume <20×10 9 / L (spontaneous bleeding such as skin ecchymosis and intracranial hemorrhage may occur), or the absolute platelet count per unit volume is >1000×109 When the hemoglobin concentration is <60g / L (platelet stasis, which may lead to arterial / venous thrombosis), or <60g / L (severe anemia, which may lead to myocardial hypoxia and shock), or >180g / L (blood viscosity syndrome, such as cerebral infarction, myocardial infarction, and retinal hemorrhage), an emergency medical attention prompt will be triggered directly.

[0063] This enables the determination of emergency situations and provides a strong guarantee for patient safety.

[0064] When the current blood indicators do not reach the preset emergency medical treatment standard, calculate the relative change rate of the patient's current blood indicators and the patient's historical blood indicators (i.e., the absolute difference between the current blood indicators and the patient's historical blood indicators, divided by the patient's historical blood indicators).

[0065] Based on this, if the relative rate of change is greater than the preset abnormal threshold (40%), an abnormal alarm will be issued, prompting the patient to seek medical attention and undergo testing.

[0066] If the normal fluctuation threshold (10%) < the relative change rate ≤ the preset abnormal threshold, the blood indicators are considered normal, and the patient is advised to have slight abnormal fluctuations and to retest regularly.

[0067] If the relative rate of change is less than or equal to the normal fluctuation threshold, the blood indicators are considered normal. This is considered normal physiological fluctuation and there is no pathological risk.

[0068] This not only provides specific blood indicator measurement results, but also allows for the determination of whether a patient needs medical attention based on their historical blood indicators, enabling patients to better understand the test results.

[0069] In one embodiment, if a patient does not have a hospital blood routine test report within a set time period, a fixed medical threshold is used as the patient's historical blood indicators.

[0070] Secondly, embodiments of this application provide a routine blood test device, which can be a personal computer (PC), laptop computer, server, or other device with data processing capabilities.

[0071] Reference Figure 2 , Figure 2 This is a schematic diagram of the hardware structure of a routine blood test device involved in an embodiment of this application. In this embodiment, the routine blood test device may include a processor, a memory, a communication interface, and a communication bus.

[0072] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0073] Communication interfaces include input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting internal components of the blood routine testing equipment, as well as interfaces used for interconnecting the blood routine testing equipment with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0074] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0075] The processor can be a general-purpose processor, which can call the blood routine test program stored in the memory and execute the blood routine test method provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the blood routine test program is called can be referred to in the various embodiments of the blood routine test method of this application, and will not be repeated here.

[0076] Those skilled in the art will understand that Figure 2 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0077] Thirdly, embodiments of this application also provide a storage medium.

[0078] The storage medium of this application stores a routine blood count testing program, wherein when the routine blood count testing program is executed by a processor, it implements the steps of the routine blood count testing method described above.

[0079] The method implemented when the blood routine test procedure is executed can be referred to in the various embodiments of the blood routine test method of this application, and will not be repeated here.

[0080] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0081] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0082] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0083] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0084] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0085] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0086] The above are merely specific embodiments of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be determined by the scope of the claims.

Claims

1. A method for routine blood tests, characterized in that, The method includes the following steps: Acquire photoelectric images of patient blood mixed with different dry reaction reagents; The photoelectric images are imported into a pre-trained blood routine index analysis model to obtain the patient's current blood indicators; Calculate the relative rate of change of the patient's current blood indicators compared to the patient's historical blood indicators; Determine if the relative rate of change is greater than a preset abnormal threshold. If so, issue an abnormal alarm; otherwise, determine that the blood indicators are normal.

2. The blood routine test method according to claim 1, characterized in that, The methods for acquiring photoelectric images of patient blood mixed with different dry reaction reagents include: A sampling chip with several microfluidic channels was constructed, and different dry reaction reagents were pre-immobilized in different microfluidic channels. The dry reaction reagents included dry leukocyte lysis staining reagent, dry hypotonic erythrocyte buffer reagent, dry platelet protective staining pre-prepared reagent, and dry hemoglobin colorimetric lysis reagent. After blood is dripped into the sampling chip, photoelectric images of the corresponding microfluidic channels are acquired under different light sources.

3. A blood routine test method according to claim 2, characterized in that, The photoelectric images include white blood cell photoelectric images, red blood cell photoelectric images, platelet photoelectric images, and hemoglobin concentration photoelectric images; The photoelectric image of the white blood cells was acquired under a 447nm narrowband monochromatic laser light source; The red blood cell photoelectric image was acquired under a 630nm red monochromatic LED light source; The platelet photoelectric images were acquired under a 650nm narrowband monochromatic light source. The photoelectric image of hemoglobin concentration was acquired under a 540nm blue LED light source.

4. A blood routine test method according to claim 3, characterized in that, The blood routine index analysis model includes a white blood cell analysis model, a red blood cell analysis model, a platelet analysis model, and a hemoglobin concentration analysis model; The patient's current blood parameters include the absolute number of white blood cells per unit volume, the absolute number of red blood cells per unit volume, the absolute number of platelets per unit volume, and the hemoglobin concentration.

5. A blood routine test method according to claim 4, characterized in that, The white blood cell analysis model takes white blood cell photoelectric images as input and outputs the absolute value of white blood cells per unit volume; The red blood cell analysis model takes red blood cell photoelectric images as input and outputs the absolute value of red blood cells per unit volume; The platelet analysis model takes platelet photoelectric images as input and outputs the absolute value of platelets per unit volume. The hemoglobin concentration analysis model takes a photoelectric image of hemoglobin concentration as input and outputs hemoglobin concentration.

6. A blood routine test method according to claim 1, characterized in that, The patient's historical blood indicators are obtained from the most recent hospital blood routine test report within the time period set by the patient.

7. A blood routine test method according to claim 1, characterized in that, Before calculating the relative change rate between the patient's current blood indicators and the patient's historical blood indicators, determine whether the patient's current blood indicators meet the preset emergency medical treatment criteria. If so, directly trigger an emergency medical treatment prompt; otherwise, calculate the relative change rate between the patient's current blood indicators and the patient's historical blood indicators.

8. A blood routine test method according to claim 7, characterized in that, Also includes: If the normal fluctuation threshold < relative change rate ≤ preset abnormal threshold, the blood indicators are determined to be normal, and the patient is indicated to have slight abnormal fluctuations. If the relative rate of change is less than or equal to the normal fluctuation threshold, then the blood indicators are considered normal.

9. A routine blood test device, characterized in that, The blood routine testing device includes a processor, a memory, and a blood routine testing program stored in the memory and executable by the processor, wherein when the blood routine testing program is executed by the processor, it implements the steps of the blood routine testing method as described in any one of claims 1 to 8.

10. A storage medium, characterized in that, The storage medium stores a routine blood count testing program, wherein when the routine blood count testing program is executed, it implements the steps of the routine blood count testing method as described in any one of claims 1 to 8.

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