Blood analysis device and analysis method

Abstract

The invention discloses a blood analysis device and method, and the method comprises a body temperature collection step, an information input step, a leukocyte index calculation step, and a venous blood glucose concentration calculation step. The function of analyzing various blood indexes such as the leukocyte index and the venous blood glucose concentration in the blood of the to-be-detected person can be completed by utilizing the multiple body temperature data and the information data of the to-be-detected person, the non-invasive blood analysis function is achieved, the blood detection process is effectively simplified, and the consumed time is short.

Description

Technical Field

[0001] This invention relates to the field of intelligent detection technology, and more specifically to a blood analysis device and analysis method. Background Technology

[0002] Alcohol abuse is a significant risk factor for premature death and loss of healthy life expectancy in China. Studies indicate that approximately 700,000 people die annually in China due to alcohol use, accounting for more than one-tenth of global alcohol-related deaths. Alcohol-related deaths include not only acute poisoning (over 10,000 annually), but are also closely linked to liver cancer, stomach cancer, cardiovascular disease (accounting for over 30% of alcohol-related deaths), traffic accidents, and violent incidents.

[0003] In practice, multiple indicators in the blood are often used to determine whether a person has consumed alcohol. This testing method requires the use of medical devices to draw blood from the person being tested, followed by analysis of the blood using blood analysis equipment to obtain the final result. Therefore, it can be seen that the current blood testing process is relatively cumbersome, requires blood samples, and is time-consuming. Summary of the Invention

[0004] To address the aforementioned technical problems, the present invention aims to provide a blood analysis device and analysis method.

[0005] The technical solution adopted by this invention to solve the problem is: A blood analysis method includes the following steps: The body temperature collection process involves collecting temperature data from five locations on the body of the person being tested: the bifurcation of the left carotid artery, the bifurcation of the right carotid artery, the left armpit, the right armpit, and the periumbilical region. The information input step involves inputting the information data of the person to be tested, including their age, weight, heart rate, and respiratory rate. The steps for calculating the white blood cell count are as follows: Based on the body temperature data and information data of the person being tested, the white blood cell count of the person being tested is calculated. The steps for calculating venous blood glucose concentration are as follows: Calculate the venous blood glucose concentration of the person being tested based on the white blood cell count, body temperature data, and other information data.

[0006] As a further improvement to the above technical solution, the white blood cell index calculation step includes establishing a white blood cell index calculation model, wherein the white blood cell index calculation model is as follows: , in Indicates white blood cell count, This represents the sum of five temperature readings from the individual being tested. This represents the sum of body temperature data at the carotid bifurcation point. This represents the sum of body temperature data from the armpit. Indicates the age of the person being tested. This indicates the heart rate of the person being tested. This indicates the respiratory rate of the person being tested. This indicates the weight of the person being tested. This represents body temperature data in the periumbilical region.

[0007] As a further improvement to the above technical solution, the step of calculating venous blood glucose concentration includes establishing a venous blood glucose concentration calculation model, wherein the venous blood glucose concentration calculation model is as follows: ,in Indicates venous blood glucose concentration. Indicates white blood cell count, This represents the sum of five temperature readings from the individual being tested. This represents the sum of body temperature data at the carotid bifurcation point. Indicates the age of the person being tested. This indicates the heart rate of the person being tested. This indicates the respiratory rate of the person being tested. This represents body temperature data in the periumbilical region.

[0008] As a further improvement to the above technical solution, the information input step also includes inputting the resting heart rate of the person to be tested; The blood analysis method also includes the following steps: The environmental parameter detection steps include detecting the real-time atmospheric pressure and real-time ambient temperature in the environment. The total protein index is calculated based on real-time atmospheric pressure, real-time ambient temperature, body temperature data of the person being tested, and other information data.

[0009] As a further improvement to the above technical solution, the total protein index calculation step includes establishing a total protein index calculation model, wherein the total protein index calculation model is as follows: ,in This indicates the total protein index. This represents the sum of body temperature data from the armpit. Indicates real-time atmospheric pressure. Indicates hemoglobin concentration. , Hematocrit indicates the volume of red blood cells. Indicates the real-time ambient temperature. This indicates the resting heart rate.

[0010] The present invention also discloses a blood analysis device, comprising: The body temperature collection module is used to collect body temperature data from five locations on the body of the person being tested, including the bifurcation of the left carotid artery, the bifurcation of the right carotid artery, the left armpit, the right armpit, and the periumbilical region. The information input module is used to input the information data of the person to be tested, including the person's age, weight, heart rate, and respiratory rate. The white blood cell count calculation module is used to calculate the white blood cell count of the person being tested based on their body temperature and other information data. The venous blood glucose concentration calculation module is used to calculate the venous blood glucose concentration of the person being tested based on the white blood cell index, the body temperature data of the person being tested, and other information data.

[0011] As a further improvement to the above technical solution, the white blood cell index calculation module calculates the white blood cell index of the person being tested by establishing a white blood cell index calculation model, which is as follows: , in Indicates white blood cell count, This represents the sum of five temperature readings from the individual being tested. This represents the sum of body temperature data at the carotid bifurcation point. This represents the sum of body temperature data from the armpit. Indicates the age of the person being tested. This indicates the heart rate of the person being tested. This indicates the respiratory rate of the person being tested. This indicates the weight of the person being tested. This represents body temperature data in the periumbilical region.

[0012] As a further improvement to the above technical solution, the venous blood glucose concentration calculation module calculates the venous blood glucose concentration of the person being tested by establishing a venous blood glucose concentration calculation model, which is as follows: ,in Indicates venous blood glucose concentration. Indicates white blood cell count, This represents the sum of five temperature readings from the individual being tested. This represents the sum of body temperature data at the carotid bifurcation point. Indicates the age of the person being tested. This indicates the heart rate of the person being tested. This indicates the respiratory rate of the person being tested. This represents body temperature data in the periumbilical region.

[0013] As a further improvement to the above technical solution, the information input module also includes inputting the resting heart rate of the person to be tested; The blood analysis device also includes: The environmental parameter detection module is used to detect the real-time atmospheric pressure and real-time ambient temperature in the environment. The total protein index calculation module is used to calculate the total protein index based on real-time atmospheric pressure, real-time ambient temperature, body temperature data of the person being tested, and other information data.

[0014] As a further improvement to the above technical solution, the total protein index calculation module includes establishing a total protein index calculation model, which is as follows: ,in This indicates the total protein index. This represents the sum of body temperature data from the armpit. Indicates real-time atmospheric pressure. Indicates hemoglobin concentration. , Hematocrit indicates the volume of red blood cells. Indicates the real-time ambient temperature. This indicates the resting heart rate.

[0015] The beneficial effects of this invention are as follows: The blood analysis method disclosed in this technical solution includes a body temperature collection step, an information input step, a white blood cell index calculation step, and a venous blood glucose concentration calculation step. By using multiple body temperature data and information data of the person to be tested, the analysis function of multiple blood indicators such as white blood cell index and venous blood glucose concentration in the blood of the person to be tested can be completed, realizing non-invasive blood analysis function, effectively simplifying the blood testing process, and reducing the time required. Attached Figure Description

[0016] The present invention will be further explained and described below with reference to the accompanying drawings and specific embodiments.

[0017] Figure 1 This is a schematic diagram of the analysis method of the present invention; Figure 2 This is a schematic diagram of the analytical apparatus of the present invention. Detailed Implementation

[0018] This section will describe in detail specific embodiments of the present invention. Preferred embodiments of the present invention are shown in the accompanying drawings. The purpose of the drawings is to supplement the textual description with graphics, so that people can intuitively and vividly understand each technical feature and overall technical solution of the present invention, but they should not be construed as limiting the scope of protection of the present invention.

[0019] In the description of this invention, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc., are based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting this invention.

[0020] In the description of this invention, "several" means one or more, "more than" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0021] In the description of this invention, unless otherwise explicitly defined, terms such as "set up," "install," and "connect" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this invention in conjunction with the specific content of the technical solution.

[0022] Reference Figure 1 This application discloses a blood analysis method, the first embodiment of which includes the following steps: The body temperature collection process involves collecting temperature data from five locations on the body of the person being tested: the bifurcation of the left carotid artery, the bifurcation of the right carotid artery, the left armpit, the right armpit, and the periumbilical region. The information input step involves inputting the information data of the person to be tested, including their age, weight, heart rate, and respiratory rate. The steps for calculating the white blood cell count are as follows: Based on the body temperature data and information data of the person being tested, the white blood cell count of the person being tested is calculated. The steps for calculating venous blood glucose concentration are as follows: Calculate the venous blood glucose concentration of the person being tested based on the white blood cell count, body temperature data, and other information data.

[0023] Specifically, the blood analysis method disclosed in this embodiment includes a body temperature collection step, an information input step, a white blood cell index calculation step, and a venous blood glucose concentration calculation step. By using multiple body temperature data and information data of the person to be tested, the analysis function of multiple blood indicators such as white blood cell index and venous blood glucose concentration in the blood of the person to be tested can be completed, realizing non-invasive blood analysis function, effectively simplifying the blood testing process, and reducing the time required.

[0024] As a further preferred embodiment, in this embodiment, the white blood cell index calculation step includes establishing a white blood cell index calculation model, wherein the white blood cell index calculation model is as follows: , in Indicates white blood cell count, This represents the sum of five temperature readings from the individual being tested. This represents the sum of body temperature data at the carotid bifurcation point. This represents the sum of body temperature data from the armpit. Indicates the age of the person being tested. This indicates the heart rate of the person being tested. This indicates the respiratory rate of the person being tested. This indicates the weight of the person being tested. This represents body temperature data in the periumbilical region.

[0025] As a further preferred embodiment, in this embodiment, the step of calculating venous blood glucose concentration includes establishing a venous blood glucose concentration calculation model, wherein the venous blood glucose concentration calculation model is as follows: ,in Indicates venous blood glucose concentration. Indicates white blood cell count, This represents the sum of five temperature readings from the individual being tested. This represents the sum of body temperature data at the carotid bifurcation point. Indicates the age of the person being tested. This indicates the heart rate of the person being tested. This indicates the respiratory rate of the person being tested. This represents body temperature data in the periumbilical region.

[0026] As a further preferred embodiment, in this embodiment, the information input step also includes inputting the resting heart rate of the person to be tested; This embodiment also includes the following steps: The environmental parameter detection steps include detecting the real-time atmospheric pressure and real-time ambient temperature in the environment. The total protein index is calculated based on real-time atmospheric pressure, real-time ambient temperature, body temperature data of the person being tested, and other information data.

[0027] As a further preferred embodiment, in this embodiment, the total protein index calculation step includes establishing a total protein index calculation model, wherein the total protein index calculation model is as follows: ,in This indicates the total protein index. This represents the sum of body temperature data from the armpit. Indicates real-time atmospheric pressure. Indicates hemoglobin concentration. , Hematocrit indicates the volume of red blood cells. Indicates the real-time ambient temperature. This indicates the resting heart rate.

[0028] The blood analysis method disclosed in this embodiment is primarily based on the operating mechanisms of living organisms. Human survival depends on the synergistic effects of millions of internal chemical reactions. All life activities are driven and regulated by chemical reactions, which themselves follow the laws of thermodynamics. Temperature not only affects the rate of chemical reactions but also alters protein structure, changes the conformation of water molecules, and even triggers phase transitions in lipids. The temperature of human tissues depends on the balance between the heat generated by cellular metabolism and the heat released to the external environment. Therefore, heat exchange between the body and the environment is essential for life. When this balance is disrupted, body temperature changes accordingly.

[0029] Studies have found that when pathological processes occur in the liver and gastrointestinal tract of patients, the sum of temperatures measured at five points on the body (162.5 ± 2.5 °C) is typical. In the control group, the decrease in this indicator compared to normal values ​​was due to impaired endorphin synthesis, a result of changes in structural protein-lipid cholesterol complexes and peptide bonds. The latter defines the biochemical and biophysical transformations of cell membranes, involving both the central (limbic-hippocampus) and peripheral (autonomic) nervous systems, as well as lipid peroxidation at the level of visceral organs (cardiopulmonary and renal systems).

[0030] The interaction of acidic and basic amino acids provides the required energy (1310 kJ / s), expressed as a thermal equivalent of 34°C, which is sufficient or insufficient to regulate the molar weight interactions of peptides, while also involving calcium ions (calreticulin, calcinin, and calmodulin). These predetermine the function of the Manoso-6 phosphate receptor and pH differences.

[0031] The number of red blood cells (RBCs), lymphocytes, and neutrophils depends on the ratio of the nuclear pore complex (NPC) to the peptide bond cleavage energy, and this ratio changes with temperature variations at the measurement site. Changes in RBC count trigger mechanisms that disrupt endorphin and neuropeptide metabolism, specifically depending on the number of neutrophils and lymphocytes involved in oxygen transport, the rate of carbon dioxide production and breakdown, triglyceride metabolism, and indicators such as high-density lipoprotein (HDL), low-density lipoprotein (LDL), and very low-density lipoprotein (VLDL). Ultimately, these factors collectively determine the concentration of dopamine β-hydroxylase (DBH).

[0032] Arteriovenous oxygen difference (a-vO) and blood pH affect hemodynamic parameters and the formation of cerebrospinal fluid pressure. a-vO is also related to atmospheric pressure and the formation of atomic oxygen during chemical reactions triggered by changes in body temperature. Energy processes are important mechanisms for metabolic and hemodynamic regulation, and their effects depend on body weight, age, and the ratio of carotid region temperature to heart rate (HR) and the change in heart rate per unit time.

[0033] By integrating and systematizing bidirectional dynamic correlation data between human body temperature regulation and the environment and internal biochemical reactions, the relevant analysis results have formed a non-invasive health parameter detection algorithm.

[0034] Reference Figure 2 This application also discloses a blood analysis device, the first embodiment of which includes: The body temperature collection module is used to collect body temperature data from five locations on the body of the person being tested, including the bifurcation of the left carotid artery, the bifurcation of the right carotid artery, the left armpit, the right armpit, and the periumbilical region. The information input module is used to input the information data of the person to be tested, including the person's age, weight, heart rate, and respiratory rate. The white blood cell count calculation module is used to calculate the white blood cell count of the person being tested based on their body temperature and other information data. The venous blood glucose concentration calculation module is used to calculate the venous blood glucose concentration of the person being tested based on the white blood cell index, the body temperature data of the person being tested, and other information data.

[0035] As a further preferred embodiment, in this example, the calculation of the white blood cell index of the person being tested in the white blood cell index calculation module includes establishing a white blood cell index calculation model, wherein the white blood cell index calculation model is as follows: , in Indicates white blood cell count, This represents the sum of five temperature readings from the individual being tested. This represents the sum of body temperature data at the carotid bifurcation point. This represents the sum of body temperature data from the armpit. Indicates the age of the person being tested. This indicates the heart rate of the person being tested. This indicates the respiratory rate of the person being tested. This indicates the weight of the person being tested. This represents body temperature data in the periumbilical region.

[0036] As a further preferred embodiment, in this example, the venous blood glucose concentration calculation module calculates the venous blood glucose concentration of the person being tested by establishing a venous blood glucose concentration calculation model. The venous blood glucose concentration calculation model is as follows: ,in Indicates venous blood glucose concentration. Indicates white blood cell count, This represents the sum of five temperature readings from the individual being tested. This represents the sum of body temperature data at the carotid bifurcation point. Indicates the age of the person being tested. This indicates the heart rate of the person being tested. This indicates the respiratory rate of the person being tested. This represents body temperature data in the periumbilical region.

[0037] As a further preferred embodiment, the information input module also includes inputting the resting heart rate of the person to be tested; This embodiment also includes: The environmental parameter detection module is used to detect the real-time atmospheric pressure and real-time ambient temperature in the environment. The total protein index calculation module is used to calculate the total protein index based on real-time atmospheric pressure, real-time ambient temperature, body temperature data of the person being tested, and other information data.

[0038] As a further preferred embodiment, in this example, the total protein index calculation module includes establishing a total protein index calculation model, which is as follows: ,in This indicates the total protein index. This represents the sum of body temperature data from the armpit. Indicates real-time atmospheric pressure. Indicates hemoglobin concentration. , Hematocrit indicates the volume of red blood cells. Indicates the real-time ambient temperature. This indicates the resting heart rate.

[0039] In this embodiment, the body temperature acquisition module uses a high-precision digital thermistor (accuracy not less than 0.07℃) to measure the surface temperature of five fixed areas of the human body. The analog temperature signals acquired by the sensor are amplified and filtered by a preamplifier, and then converted into digital signals by an analog-to-digital converter (ADC). The information input module can be used to manually calculate the heart rate and respiratory rate of the person being tested, and then input the relevant information through an input device such as a keyboard. Alternatively, other instruments used to measure pulse and respiratory rate, such as a Holter monitor, can be used to complete the acquisition of the heart rate and respiratory rate data of the person being tested.

[0040] The above are merely preferred embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural transformations made under the concept of the present invention using the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A method of blood analysis, characterized by, The method comprises the following steps: a body temperature collecting step, collecting five body temperature data of a body of a person to be detected, including a left carotid bifurcation, a right carotid bifurcation, a left axillary fossa, a right axillary fossa and an umbilical region; an information input step, inputting information data of the person to be detected, including age, weight, heart rate and respiratory rate of the person to be detected; a white blood cell index calculating step, calculating a white blood cell index of the person to be detected according to the body temperature data and the information data of the person to be detected; a venous blood glucose concentration calculating step, calculating a venous blood glucose concentration of the person to be detected according to the white blood cell index, the body temperature data and the information data of the person to be detected.

2. The method of claim 1, wherein: The white blood cell index calculating step comprises establishing a white blood cell index calculation model, and the white blood cell index calculation model is ， wherein represents a white blood cell index, represents a sum of five body temperature data of the body of the person to be detected, represents a sum of carotid bifurcation body temperature data, represents a sum of axillary body temperature data, represents an age of the person to be detected, represents a heart rate of the person to be detected, represents a respiration rate of the person to be detected, represents a body weight of the person to be detected, represents an umbilical region body temperature data.

3. The method of claim 1, wherein: The venous blood glucose concentration calculation step includes establishing a venous blood glucose concentration calculation model, and the venous blood glucose concentration calculation model is wherein represents the venous blood glucose concentration, represents the white blood cell index, represents the sum of the five body temperature data of the body of the person to be detected, represents the sum of the carotid bifurcation body temperature data, represents the age of the person to be detected, represents the heart rate of the person to be detected, represents the respiratory rate of the person to be detected, represents the umbilical region body temperature data.

4. The method of claim 1, wherein: The information input step further comprises inputting a resting heart rate of the person to be detected; The blood analysis method further comprises the following steps: an environmental parameter detecting step, detecting real-time atmospheric pressure and real-time environmental temperature in an environment; a total protein index calculating step, calculating a total protein index according to the real-time atmospheric pressure, the real-time environmental temperature, the body temperature data and the information data of the person to be detected.

5. The method of claim 4, wherein: The total protein index calculation step includes establishing a total protein index calculation model, and the total protein index calculation model is wherein represents a total protein index, represents a sum of armpit body temperature data, represents a real-time atmospheric pressure, represents a hemoglobin concentration, , represents a hematocrit, represents a real-time ambient temperature, represents a resting heart rate.

6. A blood analysis device, characterized by, The method comprises: a body temperature collecting module, configured to collect five body temperature data of a body of a person to be detected, including a left carotid bifurcation, a right carotid bifurcation, a left axillary fossa, a right axillary fossa and an umbilical region; an information input module, configured to input information data of the person to be detected, including age, weight, heart rate and respiratory rate of the person to be detected; a white blood cell index calculating module, configured to calculate a white blood cell index of the person to be detected according to the body temperature data and the information data of the person to be detected; a venous blood glucose concentration calculating module, configured to calculate a venous blood glucose concentration of the person to be detected according to the white blood cell index, the body temperature data and the information data of the person to be detected.

7. A blood analysis device according to claim 6, wherein: The white blood cell index calculating module comprises establishing a white blood cell index calculation model, and the white blood cell index calculation model is ， wherein represents a white blood cell index, represents a sum of five body temperature data of the body of the person to be detected, represents a sum of carotid bifurcation body temperature data, represents a sum of axillary body temperature data, represents an age of the person to be detected, represents a heart rate of the person to be detected, represents a respiration rate of the person to be detected, represents a body weight of the person to be detected, represents an umbilical region body temperature data.

8. The blood analysis device of claim 6, wherein: The venous blood glucose concentration calculation module, wherein the calculation of the venous blood glucose concentration of the person to be detected comprises establishing a venous blood glucose concentration calculation model, and the venous blood glucose concentration calculation model is wherein represents the venous blood glucose concentration, represents the white blood cell index, represents the sum of the five body temperature data of the person to be detected, represents the sum of the carotid bifurcation temperature data, represents the age of the person to be detected, represents the heart rate of the person to be detected, represents the respiratory rate of the person to be detected, represents the temperature data of the umbilical region.

9. The blood analysis device of claim 6, wherein: The information input module further comprises inputting a resting heart rate of the person to be detected; The blood analysis device further comprises: an environmental parameter detecting module, configured to detect real-time atmospheric pressure and real-time environmental temperature in an environment; a total protein index calculating module, configured to calculate a total protein index according to the real-time atmospheric pressure, the real-time environmental temperature, the body temperature data and the information data of the person to be detected.

10. The blood analysis device of claim 9, wherein: In the total protein index calculation module, the calculation of the total protein index comprises establishing a total protein index calculation model, and the total protein index calculation model is wherein represents the total protein index, represents the sum of the armpit body temperature data, represents the real-time atmospheric pressure, represents the hemoglobin concentration, , represents the hematocrit, represents the real-time ambient temperature, represents the resting heart rate.

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