Blood vessel health instrument and blood vessel health detection method

Abstract

The invention discloses a blood vessel health instrument and a blood vessel health detection method, and the method comprises the steps: enabling a user to wear arm bands at two sides, and starting a test; acquiring initial temperatures and environment temperatures of left and right fingertips; the arm band on one side is controlled to be inflated, the arm is pressed, and the other side is kept unchanged; after inflation is stopped, the temperatures of the left fingertip and the right fingertip are measured again to serve as primary test temperature data; when the fingertip temperature reaches the minimum value, the armband pressure is released; measuring the fingertip temperature again to serve as secondary test temperature data; according to the initial temperatures of the left fingertip and the right fingertip, the primary test temperature data and the secondary test temperature data, the vascular reactivity, the maximum fingertip rebound temperature and the nerve vascular reactivity are calculated, whether a vascular health detection result is credible or not is judged, and the vascular health detection result is evaluated; when the arm is pressed, the temperature of the fingertip is changed, so that the blood vessel health can be preliminarily evaluated, the operation is simple and easy, and the carrying is convenient; the health assessment function can realize self-inspection of self health conditions anytime and anywhere.

Description

Technical Field

[0001] The present invention relates to the technical field of evaluation and prevention of vascular diseases, and in particular to a vascular health instrument and a vascular health detection method. Background Art

[0002] Vascular diseases, especially cardiovascular and cerebrovascular diseases, have become the main cause of threat to human health. The "China Cardiovascular Disease Report 2016" pointed out that cardiovascular disease deaths accounted for the first place in the total cause of death among urban and rural residents, with rural areas accounting for 45.01% and urban areas accounting for 42.61%. The burden of cardiovascular disease is increasing day by day and has become a major public health issue.

[0003] The clinical practice is usually to "treat each disease separately", and it is easy to ignore the connection between disciplines. Modern medicine continues to conduct in-depth research and exploration of cardiovascular and cerebrovascular diseases. Scholars at home and abroad have gradually realized the limitations of studying a single disease and proposed the concept of "pan-vascular disease", which comprehensively considers the systemic and global physiological and pathological characteristics of the disease from the perspective of the human body as a whole. Pan-vascular disease is a group of systemic vascular diseases with vascular lesions as common pathological characteristics, which mainly endanger important organs such as the heart, brain, kidneys, limbs and aortas. Although the lesions of pan-vascular diseases belong to different disciplines, they have similar risk factors and pathophysiological mechanisms. Vascular health is directly related to vascular function. It is particularly important to diagnose the degree of vascular function damage in the early stages of pan-vascular disease. The existing assessment of vascular health status can be an invasive blood sampling assessment or a non-invasive endothelial testing assessment; for example, assessment is performed using plethysmography, which is also called pressure measurement plethysmography. It uses volume pulse waves to measure changes in forearm volume while blocking brachial artery perfusion. It is considered to be the most reliable method for quantitative detection of endothelial function. However, due to its cumbersome operation and limited practical application, it cannot be used as a means of detecting endothelial function in current diagnosis and treatment.

[0004] In 1990, flow-mediated dilation (FMD) technology was introduced. FMD evaluates endothelial function by measuring the vasodilation response induced by reactive hyperemia of the arteries and the dilation response induced by vasoactive drugs through ultrasound. FMD is used in clinical research as a non-invasive means of endothelial function examination, but it cannot be widely popularized in actual clinical practice due to the cumbersomeness and poor repeatability of the examination, as well as the high requirements for doctors' skills and experience.

[0005] It can be seen that the existing detection methods are very complicated and cannot be miniaturized and portable. The subjects need to go to the hospital for special testing. Moreover, this kind of test can only obtain test results for blood vessels that have undergone substantial changes, and cannot predict panvascular diseases in the early stage.

[0006] Professor Weng Jianping's team from the University of Science and Technology of China proposed that "vascular endothelial cell homeostasis imbalance is the key mechanism for the progression of pan-vascular diseases." The key to improvement is to maintain endothelial cell function. Therefore, as long as endothelial cells are protected and repaired, the symptoms of pan-vascular diseases such as sub-health, chronic diseases, cardiovascular and cerebrovascular diseases can be alleviated and improved to a certain extent. In view of this, a new idea for the early evaluation and prevention of pan-vascular diseases has been proposed. Summary of the invention

[0007] Therefore, the object of the present invention is to provide a vascular health instrument that can provide non-invasive assessment of vascular function and risk level of cardiovascular and cerebrovascular events. Patients can be re-examined regularly to measure their improvement and monitor response to treatment.

[0008] In order to achieve the above object, the present invention provides a blood vessel health detection method, comprising the following steps:

[0009] S1. After the user wears the armbands on both sides, the test begins;

[0010] S2, obtaining the initial temperature of the user's left and right fingertips and the ambient temperature;

[0011] S3, control one side of the armband to inflate, compress one arm, and when it is inflated to the preset pressure, stop inflating, and the other side of the armband remains unchanged;

[0012] S4, measuring the temperature of the left and right fingertips again, maintaining the temperature for the first preset time, and recording the fingertip temperature within the maintaining time as a test temperature data;

[0013] S5. When the fingertip temperature reaches the minimum value or the timing time ends, the pressure of the inflatable armband is released;

[0014] S6, measuring the temperature of the left and right fingertips within the second preset time after the pressure is released again as the secondary test temperature data;

[0015] S7. Calculate vascular reactivity, maximum fingertip rebound temperature, and neurovascular reactivity based on the initial temperature of the left and right fingertips, the primary test temperature data, and the secondary test temperature data, determine whether the vascular health test results are credible, and evaluate the vascular health test results.

[0016] Further, preferably, before obtaining the initial temperature, the method further includes detecting the finger presence status by fingerprint recognition or photoelectric recognition.

[0017] When obtaining the initial temperatures of the left and right fingertips of the user and the ambient temperature, the initial temperature of the fingertips on the non-pressed side is marked as Ti_Z, and the initial temperature of the fingertips on the pressed side is marked as Ti_Y;

[0018] In S4, within the first preset time interval, the lowest temperature value of the fingertips of the compressed arm in the test temperature data is recorded as TY_MIN, and the lowest temperature time TIME_Y1 is recorded;

[0019] In S6, the secondary test temperature data of the fingertip on the compressed side is measured after the pressure is released, and the maximum value reached within the second prediction time is recorded as TY_MAX; and the time of the highest temperature TIME_Y2 is recorded.

[0020] Further, preferably, in S7, the maximum fingertip rebound temperature is calculated using the following method:

[0021] TR=TY_MAX-Ti_Y; wherein TR is the maximum fingertip rebound temperature, TY_MAX is the maximum value of the fingertip temperature on the compressed side after the pressure is released; Ti_Y is the initial temperature of the fingertip on the compressed side.

[0022] Further, preferably, in S6, it also includes: recording the maximum value reached by the fingertip temperature of the other non-oppressed side during the pressure release process, recorded as TZ_MAX, and recording the duration for the fingertip temperature of the non-oppressed side to jump from the initial temperature to the maximum value, recorded as TIME_Z1; if the finger temperature of the non-oppressed arm is always not greater than the initial temperature Ti_Z, then record the highest point temperature TZ_MAX and time TIME_Z1 of the fingers of the non-oppressed arm after TIME_Y1 time of the oppressed arm.

[0023] Further, preferably, the neurovascular reactivity is calculated using the following formula:

[0024] NVR=(TZ_MAX-Ti_Z) / TIME_Z1; Ti_Z is the initial temperature of the fingertip on the non-pressed side; TZ_MAX is the maximum temperature of the fingertip on the non-pressed side; TIME_Z1 is the duration of the jump from the initial temperature to the maximum value.

[0025] Further, preferably, it also includes calculating the vascular reactivity VRT according to the following formula:

[0026] VRT=(TY_MAX-TY_MIN) / (TIME_Y2-TIME_Y1)

[0027] Among them, TY_MAX is the maximum value of the temperature of the fingertip on the compressed side after the pressure is released; TY_MIN is the minimum value of the fingertip on the compressed side; TIME_Y2 is the moment when the temperature of the fingertip on the compressed side is the highest; TIME_Y1 is the moment when the temperature of the fingertip on the compressed side is the lowest.

[0028] Further, preferably, the determining whether the vascular health test result is credible and evaluating the vascular health test result includes:

[0029] When the maximum fingertip rebound temperature is > 0 and the neurovascular reactivity is > 0, the test result is judged to be reliable, the VRT value is output, and the vascular health value is displayed as high;

[0030] When the maximum fingertip rebound temperature is ≤0 and the neurovascular reactivity is ≤0, the test result is judged to be reliable, the VRT value is output, and the vascular health value is displayed as low;

[0031] Otherwise, the test result is judged as unreliable, the VRT value is output and a retest is indicated.

[0032] The present invention also provides a vascular health instrument, which is used to implement the steps of the above vascular health detection method, including:

[0033] The fingertip temperature detection area is used to obtain the temperature of the user's left and right fingertips during the test;

[0034] The control circuit is used to control the air path structure to inflate and deflate according to the fingertip temperature or preset time; calculate the maximum fingertip rebound temperature and neurovascular reactivity according to the temperature of the left and right fingertips during the test, and evaluate the vascular health test results; perform compression training on one or both arms at the same time according to the compression cycle plan;

[0035] The air path structure inflates to apply pressure to the arm according to the control signal; or deflates to release the pressure on the arm.

[0036] Further, preferably, the air circuit structure includes an air pump, a first solenoid valve, a second solenoid valve, a main air circuit, a first branch and a second branch; the air pump outlet is connected to the main air circuit, and the main air circuit connects the first branch and the second branch; an air release valve is provided on the main air circuit; a first solenoid valve is provided on the first branch, and a second solenoid valve is provided on the second branch.

[0037] Further, preferably, the first branch and the second branch are respectively connected to the first arm band and the second arm band; the first arm band and the second arm band are respectively provided with a blood pressure detection device; when compression training is performed on one or both arms at the same time according to the compression cycle scheme; the blood pressure of one or both arms is detected.

[0038] The vascular health instrument and vascular health detection method disclosed in this application. Compared with the prior art, the vascular health can be preliminarily evaluated by detecting the temperature change of the fingertips when the arm is compressed. The detection process is non-invasive, simple and easy to operate, convenient and easy to carry; there is no side effect on the body, and the health assessment function can realize self-check of one's own health status anytime and anywhere.

[0039] After training, the emergency mechanism of the human immune system can be stimulated, producing and releasing endogenous protective substances that are involved in protecting blood vessels and energy metabolism, thereby reducing possible accidents caused by cardiovascular and cerebrovascular diseases. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a flow chart of the vascular health detection method of the present invention;

[0041] Figure 2 It is a schematic plan view of a vascular health instrument of the present invention;

[0042] Figure 3 This is a schematic diagram of the internal device connection of the present invention;

[0043] Figure 4 This is a schematic diagram of the health assessment of the present invention.

[0044] Figure 5 A schematic diagram of the temperature curve change of the fingertips of a group of people with high vascular health values ​​when the present invention is applied;

[0045] Figure 6 A schematic diagram of the temperature curve change of the fingertips when the present invention is applied to people with low vascular health values;

[0046] In the figure: 1. Power button; 2. Detection area; 3. Socket; 4. Start / Stop button; 5. Training button; 6. Detection button; 7. Power socket; 8. Socket built-in connector; 9. First solenoid valve; 10. Battery; 11. Air release valve; 12. Air circuit; 13. Air pump; 14. Second solenoid valve; 15. Photoelectric detection. DETAILED DESCRIPTION

[0047] The present invention is further described in detail below through the accompanying drawings and specific embodiments.

[0048] like Figure 1 As shown, a blood vessel health detection method provided by an embodiment of the present invention includes the following steps:

[0049] S1. After the user wears the armbands on both sides, the test begins;

[0050] S2. Obtain the initial temperature and ambient temperature of the user's left and right fingertips; in order to ensure the accuracy of the test data, the test ambient temperature should be between 23-26 degrees Celsius. Before obtaining the initial temperature, the finger's in-place status is also detected through fingerprint recognition or photoelectric recognition. If the finger is not detected, the display will prompt. When obtaining the initial temperature and ambient temperature of the user's left and right fingertips, there should be a 2-minute temperature maintenance time to ensure temperature stability; the initial temperature of the fingertip on the non-pressed side is marked as Ti_Z, and the initial temperature of the fingertip on the pressed side is marked as Ti_Y;

[0051] S3, control one side of the armband to inflate, compress one arm, and when it is inflated to the preset pressure, stop inflating, and the other side of the armband remains unchanged;

[0052] S4. Measure the temperature of the left and right fingertips again, maintain the first preset time, and record the fingertip temperature within the holding time as a test temperature data; at this time, the arm is kept compressed, and the lowest temperature TY_MIN and time TIME_Y1 of the compressed arm are collected during this process. When the temperature of the compressed arm finds the lowest point temperature or the pressure is released after 3 minutes of compression, record the current lowest temperature TY_MIN and time TIME_Y1 of the compressed arm.

[0053] S5. When the fingertip temperature reaches the minimum value or the timing time ends, the pressure of the inflatable armband is released; and the current time data TIME_SF is recorded;

[0054] S6. After the pressure is released, the temperature of the left and right fingertips within the second preset time is measured again as the secondary test temperature data; if the time is not accumulated to 3 minutes from the start of TIME_SF, the finger temperature of the previously compressed arm has returned to the initial temperature Ti_Y, and the temperature is continued to be collected. When the temperature of the previously compressed arm no longer rises or the time has reached 3 minutes, the current temperature TY_MAX and the time TIME_Y2 are recorded;

[0055] If the time is accumulated from TIME_SF to 3 minutes, and the temperature of the finger of the previously compressed arm has not returned to the initial temperature Ti_Y, then the highest temperature is recorded as TY_MAX, and the time is TIME_Y2;

[0056] S7. Calculate vascular reactivity, maximum fingertip rebound temperature, and neurovascular reactivity based on the initial temperature of the left and right fingertips, the primary test temperature data, and the secondary test temperature data, determine whether the vascular health test results are credible, and evaluate the vascular health test results.

[0057] In S7, the maximum fingertip rebound temperature is calculated using the following method:

[0058] TR = TY_MAX-Ti_Y; where TR is the maximum fingertip rebound temperature, TY_MAX is the maximum fingertip temperature on the compressed side after the pressure is released; Ti_Y is the initial fingertip temperature on the compressed side. When TY_MAX is greater than Ti_Y, it indicates a high vascular health value; if TY_MAX is less than Ti_Y, it indicates a low vascular health value.

[0059] Further, preferably, in S6, it also includes: recording the maximum value reached by the fingertip temperature of the other non-oppressed side during the pressure release process, recorded as TZ_MAX, and recording the duration for the fingertip temperature of the non-oppressed side to jump from the initial temperature to the maximum value, recorded as TIME_Z1; if the finger temperature of the non-oppressed arm is always not greater than the initial temperature Ti_Z, then record the highest point temperature TZ_MAX and time TIME_Z1 of the fingers of the non-oppressed arm after TIME_Y1 time of the oppressed arm.

[0060] Further, preferably, the neurovascular reactivity is calculated using the following formula:

[0061] NVR=(TZ_MAX-Ti_Z) / TIME_Z1; Ti_Z is the initial temperature of the fingertip on the non-pressed side; TZ_MAX is the maximum temperature of the fingertip on the non-pressed side; TIME_Z1 is the duration of the jump from the initial temperature to the maximum value.

[0062] Further, preferably, it also includes calculating the vascular reactivity VRT according to the following formula:

[0063] VRT=(TY_MAX-TY_MIN) / (TIME_Y2-TIME_Y1)

[0064] Among them, TY_MAX is the maximum value of the fingertip temperature on the compressed side after the pressure is released; TY_MIN is the minimum value of the fingertip on the compressed side; TIME_Y2 is the moment when the fingertip temperature on the compressed side is the highest; TIME_Y1 is the moment when the fingertip temperature on the compressed side is the lowest. When TZ_MAX is greater than Ti_Z, it indicates good neurovascular reactivity; if TY_MAX is less than Ti_Y, it indicates poor neurovascular reactivity.

[0065] Vascular reactivity is an important component of vascular function, enabling the circulatory system to respond to the need to regulate blood flow and to changes in vascular tone and physiological and pharmacological stimuli. Vascular reactivity can be manifested at the macrovascular and microvascular levels. “Macrovascular” refers to the large conduit arteries, and “microvascular” refers to the small resistance vessels. Microvascular reactivity causes reactive hyperemia, while macrovascular reactivity (flow-mediated dilation or FMD) is caused by reactive hyperemia. Both macrovascular and microvascular reactivity are controlled by a variety of physiological (endothelium-dependent and -independent) regulatory mechanisms and are mediated by many biochemical agents, such as nitric oxide (NO), endothelium-derived hyperpolarizing factor (EDHF), prostaglandins, adenosine, bradykinin, histamine, and other vasoactive substances. Macrovascular reactivity is primarily mediated by endothelium-derived NO, while microvascular reactivity is only partially mediated by NO. Previous studies have demonstrated that microvascular and impaired microvascular reactivity are associated with atherosclerotic cardiovascular disease. Similarly, several studies have shown a strong association between endothelium-dependent and -independent vascular dysfunction and cardiovascular risk factors. There is considerable heterogeneity in the degree of vascular dysfunction, and cutaneous vascular reactivity is thought to be primarily due to microvascular reactivity; however, it is also mediated by neurovascular interactions. Many studies have elucidated the pathophysiology of cutaneous vascular reactivity and its significance in patients with vascular disease. There are significant differences in myocardial blood flow and epicardial coronary artery responses to sympathetic nerve stimulation between patients with and without coronary artery disease. Vascular reactivity is therefore closely related to vascular dysfunction.

[0066] Further, preferably, the determining whether the vascular health test result is credible and evaluating the vascular health test result includes:

[0067] When the maximum fingertip rebound temperature is greater than 0 (i.e., the projection area of ​​TY_MAX on the initial temperature Ti_Y is positive) and the neurovascular reactivity is greater than 0 (i.e., the projection area of ​​TZ_MAX on the initial temperature Ti_Z is positive), the test result is judged to be credible, the VRT value is output, and the vascular health value is displayed as high;

[0068] When the maximum fingertip rebound temperature is ≤0 (i.e., the projection area of ​​TY_MAX on the initial temperature Ti_Y is 0) and the neurovascular reactivity is ≤0 (i.e., the projection area of ​​TZ_MAX on the initial temperature Ti_Z is 0), the test result is judged to be credible, the VRT value is output, and the vascular health value is displayed as low;

[0069] Otherwise, the test result is judged as unreliable, the VRT value is output and a retest is indicated.

[0070] like Figure 5 and Figure 6 As shown, the present application can continuously monitor the fingertip temperature and record the continuously monitored temperature data to form a fingertip temperature curve. Figure 5 and 6 The curve in is the fingertip temperature curve, the horizontal line where the initial fingertip temperature Ti_Y is located is set as the first reference line, and the horizontal line where the maximum value TY_MAX of the compressed fingertip temperature after the pressure is released is set as the second reference line; when there are some data points in the fingertip temperature curve exceeding the first reference line, it can be seen that the fingertip temperature curve forms a projection area (i.e. Figure 5 The shaded area in the upper curve graph), at this time, it can be determined from the fingertip temperature curve that the maximum fingertip rebound temperature is greater than 0; that is, the downward projection area of ​​TY_MAX on the initial temperature Ti_Y is positive.

[0071] Similarly, if Figure 6 As shown, Figure 6 In the upper curve graph, when there is no data point in the fingertip temperature curve that can exceed the first baseline, the fingertip temperature curve cannot form a projection between the first baseline and the second baseline along the positive direction of the time axis. At this time, it is considered that the maximum fingertip rebound temperature is ≤0; that is, the projection area of ​​TY_MAX in the upper and lower directions of the initial temperature Ti_Y is 0.

[0072] Similarly, neurovascular reactivity can also be judged according to the fingertip temperature curve formed, such as Figure 5As shown in the lower curve, the fingertip temperature curve and the baseline formed by Ti_Z form a projection area in the positive direction of the time axis. At this time, it is considered that the neurovascular reactivity is greater than 0 (that is, the projection area of ​​TZ_MAX in the upper direction of the initial temperature Ti_Z is positive). If the following occurs Figure 6 As shown in the lower curve, if a projection area cannot be formed, it is considered that the neurovascular reactivity is ≤ 0 (ie, the projection area of ​​TZ_MAX in the upper direction of the initial temperature Ti_Z is 0).

[0073] If the calculated TR and NVR results are one positive and one negative, there are several reasons: (1) the data may be abnormal and the user did not perform the assessment as required; (2) the blood vessel conditions in the left and right arms are inconsistent. After a short rest, the measurement can be repeated.

[0074] Furthermore, the vascular health status can be graded according to the slope value or the size of the projection area. The grading standard refers to the clinical vascular imaging judgment, so that the vascular health judgment not only has a positive correlation, but also has a wide range of application reference value.

[0075] The health assessment function collects human electrical signals through sensors, converts them into data on multiple health indicators of the human body through calculations, and evaluates the body's health level by analyzing the range to which the data belongs. The health assessment function can intuitively reflect the effect of using the vascular health instrument.

[0076] like Figure 2 As shown, the present invention also provides a vascular health instrument, which is used to implement the steps of the above vascular health detection method, including:

[0077] The fingertip temperature detection area is used to obtain the temperature of the user's left and right fingertips during the test;

[0078] The control circuit is used to control the air path structure to inflate and deflate according to the fingertip temperature or preset time; calculate the maximum fingertip rebound temperature and neurovascular reactivity according to the temperature of the left and right fingertips during the test, and evaluate the vascular health test results; perform compression training on one or both arms at the same time according to the compression cycle plan;

[0079] The air path structure inflates to apply pressure to the arm according to the control signal; or deflates to release the pressure on the arm.

[0080] Further, preferably, the air circuit structure includes an air pump, a first solenoid valve 9, a second solenoid valve 14, a main air circuit 12, a first branch 121 and a second branch 122; the air pump outlet is connected to the main air circuit, and the main air circuit connects the first branch 121 and the second branch 122; an air release valve 11 is provided on the main air circuit; the first branch 121 is provided with a first solenoid valve 9, and the second branch 122 is provided with a second solenoid valve 14.

[0081] Further, preferably, the first branch and the second branch are respectively connected to the first arm band and the second arm band; the first arm band and the second arm band are respectively provided with a blood pressure detection device; when compression training is performed on one or both arms at the same time according to the compression cycle scheme; the blood pressure of one or both arms is detected.

[0082] Internal device connection method:

[0083] Using a symmetrical arrangement method, the air pump and solenoid valve are arranged symmetrically, and then connected into a complete air circuit using silicone tubes. This arrangement is the most regular and easy to assemble, which can greatly improve production efficiency.

[0084] Standard training:

[0085] After the user puts on the armband on both arms, the standard-seeking training function is started, and the user first enters the compression state. The device software controls the sensor to start collecting pressure data in real time. The software controls the air release valve 11 to close, controls the air pump 13 to start inflation, and the timer starts timing. The software controls the sensor to collect pressure data in real time. When the pressure reaches the value set in the plan, the software controls the air pump 13 to stop inflation. When the real-time pressure value is lower than the plan value by a certain value, the software controls the air pump 13 to start replenishing air. When the pressure value reaches the pressure set in the plan, the software controls the air pump 13 to stop inflation. When the compression time of the plan ends, the software controls the air release valve 11 to release, and the air pressure in the armband will be released. When the rest time after the release is over, the software will enter the compression state here. The number of cycles of the compression state will run according to the plan parameters:

[0086] Program 1: Compression pressure: 180 mmHg, Compression time: 3 minutes, Release rest time: 5 minutes; Number of cycles: 5 times

[0087] Program 2: Compression pressure: 180 mmHg, Compression time: 5 minutes, Release rest time: 5 minutes; Number of cycles: 5 times

[0088] Program 3: Compression pressure: 200 mmHg, Compression time: 5 minutes, Release rest time: 5 minutes; Number of cycles: 5 times

[0089] Program 4: Compression pressure: 220 mmHg, Compression time: 5 minutes, Release rest time: 5 minutes; Number of cycles: 5 times

[0090] After the user puts on the armband on both arms, the intelligent training function is started, and the device software starts to enter the detection function. The software controls the sensor to start collecting pressure data in real time. The software controls the 11 deflation valve to close and controls the 13 air pump to start inflating. The software controls the sensor to collect pressure data in real time. When the pressure reaches a certain value, the software controls the 13 air pump to stop inflating. After the 13 air pump stops inflating, the software controls the 9 solenoid valve to start deflation through the deflation valve, and controls the 11 deflation valve to release. The software collects pressure data in real time during this period. After the pressure is released, the software calculates the user's left arm blood pressure data through the pressure data. According to the user's measured blood pressure systolic data, the software intelligently increases a certain pressure value as the user's training pressure and intelligently sets related parameters, such as compression time, release rest time, and compression times.

[0091] The software performs the training program according to the intelligently set training parameters. First, it enters the compression state. The software controls the air release valve 11 to close, controls the air pump 13 to start inflation, and the timer starts timing. The software controls the sensor to collect pressure data in real time. When the pressure reaches the value set in the program, the software controls the air pump 13 to stop inflation. When the real-time pressure value is lower than the program value by a certain value, the software controls the air pump 13 to start air replenishment. When the pressure value reaches the program set pressure, the software controls the air pump 13 to stop inflation. When the program compression time ends, the software controls the air release valve 11 to release, and the air pressure in the armband will be released. When the rest time after the release is over, the software will enter the compression state here. The number of cycles of the compression state will run according to the program parameters.

[0092] The vascular health instrument provided in the present application can also perform double-arm compression training to improve the vascular microenvironment. The present application can also detect double-arm blood pressure and double-arm pressure difference, and judge vascular health by measuring double-arm blood pressure and pressure difference.

[0093] Blood pressure and MAP of both arms:

[0094] After the user wears the armband on both arms, the blood pressure detection function of both arms is started. The software of the device starts to enter the detection function. The software controls the sensor to start collecting pressure data in real time. The software controls the air release valve 11 to close and controls the air pump 13 to start inflating. The software controls the sensor to collect pressure data in real time. When the pressure reaches a certain value, the software controls the air pump 13 to stop inflating. After the air pump 13 stops inflating, the software controls the electromagnetic valve 9 and the electromagnetic valve 14 to close, and the air pressure in the armband starts to deflate through the air release valve, and controls the air release valve 11 to release. The software collects pressure data in real time during this period. After the pressure is released, the software calculates the blood pressure data and MAP data of both arms of the user through the pressure data.

[0095] Single arm blood pressure and left arm MAP data:

[0096] After the user puts on the armband on the left arm, the left arm blood pressure detection function is started, and the device software begins to enter the detection function. The software controls the sensor to start collecting pressure data in real time. The software controls the 11 deflation valve to close and controls the 13 air pump to start inflating. The software controls the sensor to collect pressure data in real time. When the pressure reaches a certain value, the software controls the 13 air pump to stop inflating. After the 13 air pump stops inflating, the software controls the 9 solenoid valve to start, and the air pressure in the armband starts to deflate through the deflation valve, and controls the 11 deflation valve to release. During this period, the software collects pressure data in real time. After the pressure is released, the software calculates the user's left arm blood pressure data and left arm MAP data through the pressure data.

[0097] MAP (mean arterial pressure) is the average value of arterial blood pressure in a cardiac cycle. The normal value of mean arterial pressure in normal adults is 70-105 mmHg. It mainly reflects the heart function and peripheral large artery resistance. If the mean arterial pressure is too low, it means that the blood supply to the organs will be reduced, especially leading to insufficient blood supply to important organs such as the heart and brain.

[0098] If the mean arterial pressure is too high, it means that the heart and blood vessels are overburdened, which may cause compensatory hypertrophy of the heart, leading to heart failure and even heart failure.

[0099] Obviously, the above embodiments are only examples for clear explanation, and are not intended to limit the implementation methods. For ordinary technicians in the relevant field, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from them are still within the protection scope of the invention.

Claims

1. A blood vessel health detection method, characterized in that: The following steps are involved: S1. After the user wears the armbands on both sides, the test begins; S2, obtaining the initial temperature of the user's left and right fingertips and the ambient temperature; S3, control one side of the armband to inflate, compress one arm, and when it is inflated to the preset pressure, stop inflating, and the other side of the armband remains unchanged; S4, measuring the temperature of the left and right fingertips again, maintaining the temperature for the first preset time, and recording the fingertip temperature within the maintaining time as a test temperature data; S5. When the fingertip temperature reaches the minimum value or the timing time ends, the pressure of the inflatable armband is released; S6, measuring the temperature of the left and right fingertips within the second preset time after the pressure is released again as the secondary test temperature data; S7. Calculate vascular reactivity, maximum fingertip rebound temperature, and neurovascular reactivity based on the initial temperature of the left and right fingertips, the primary test temperature data, and the secondary test temperature data, determine whether the vascular health test results are credible, and evaluate the vascular health test results.

2. The blood vessel health detection method according to claim 1, characterized in that: Before obtaining the initial temperature, the presence of the finger is detected by fingerprint recognition or photoelectric recognition. When obtaining the initial temperatures of the left and right fingertips of the user and the ambient temperature, the initial temperature of the fingertips on the non-pressed side is marked as Ti_Z, and the initial temperature of the fingertips on the pressed side is marked as Ti_Y; In S4, within the first preset time interval, the lowest temperature value of the fingertips of the compressed arm in the test temperature data is recorded as TY_MIN, and the lowest temperature time TIME_Y1 is recorded; In S6, the secondary test temperature data of the fingertip on the compressed side after the pressure is released is measured, and the maximum value reached within the second prediction time is recorded as TY_MAX; Record the moment of highest temperature TIME_Y2.

3. The blood vessel health detection method according to claim 2, characterized in that: In S7, the maximum fingertip rebound temperature is calculated using the following method: TR=TY_MAX-Ti_Y; wherein TR is the maximum fingertip rebound temperature, TY_MAX is the maximum value of the fingertip temperature on the compressed side after the pressure is released; Ti_Y is the initial temperature of the fingertip on the compressed side.

4. The blood vessel health detection method according to claim 3, characterized in that: In S6, it also includes: recording the maximum value reached by the fingertip temperature of the other non-pressed side during the pressure release process, recorded as TZ_MAX, and recording the duration of the fingertip temperature of the non-pressed side jumping from the initial temperature to the maximum value, recorded as TIME_Z1; if the finger temperature of the non-pressed arm is always not greater than the initial temperature Ti_Z, then record the highest point temperature TZ_MAX and time TIME_Z1 of the fingers of the non-pressed arm after TIME_Y1 time of the pressed arm.

5. The blood vessel health detection method according to claim 4, characterized in that: Neurovascular reactivity was calculated using the following formula: NVR=(TZ_MAX-Ti_Z) / TIME_Z1; Ti_Z is the initial temperature of the fingertip on the non-pressed side; TZ_MAX is the maximum temperature of the fingertip on the non-pressed side; TIME_Z1 is the duration of the jump from the initial temperature to the maximum value.

6. The blood vessel health detection method according to claim 4, characterized in that: It also includes the calculation of vascular reactivity VRT according to the following formula: VRT=(TY_MAX-TY_MIN) / (TIME_Y2-TIME_Y1) Among them, TY_MAX is the maximum value of the fingertip temperature on the compressed side after the pressure is released; TY_MIN is the minimum value of the fingertip temperature on the compressed side; TIME_Y2 is the moment when the fingertip temperature on the compressed side is the highest; TIME_Y1 is the moment when the fingertip temperature on the compressed side is the lowest.

7. The blood vessel health detection method according to claim 5, characterized in that: The determining whether the vascular health test result is credible and evaluating the vascular health test result include: When the maximum fingertip rebound temperature is > 0 and the neurovascular reactivity is > 0, the test result is judged to be reliable, the VRT value is output, and the vascular health value is displayed as high; When the maximum fingertip rebound temperature is ≤0 and the neurovascular reactivity is ≤0, the test result is judged to be reliable, the VRT value is output, and the vascular health value is displayed as low; Otherwise, the test result is judged as unreliable, the VRT value is output and a retest is indicated.

8. The blood vessel health detection method according to claim 5, characterized in that: It also includes recording the fingertip temperature data and forming a fingertip temperature data curve based on the detection time; When the projection area of ​​the maximum value TY_MAX of the compressed fingertip temperature in the fingertip temperature data curve on the initial temperature Ti_Y is positive, it is judged that the maximum fingertip rebound temperature is greater than 0; when the projection area is 0, it is judged that the maximum fingertip rebound temperature is less than or equal to 0. When the projection area of ​​the maximum value TZ_MAX of the fingertip temperature on the non-pressed side is positive, the neurovascular reactivity is judged to be greater than 0; when the projection area is 0, the neurovascular reactivity is judged to be ≤0.

9. A vascular health instrument, characterized in that: The steps for implementing the blood vessel health detection method according to any one of claims 1 to 8 include: The fingertip temperature detection area is used to obtain the temperature of the left and right fingertips of the user during the test; The control circuit is used to control the air path structure to inflate and deflate according to the fingertip temperature or preset time; calculate the maximum fingertip rebound temperature and neurovascular reactivity according to the temperature of the left and right fingertips during the test, and evaluate the vascular health test results; perform compression training on one or both arms at the same time according to the compression cycle plan; The air path structure inflates to apply pressure to the arm according to the control signal; or deflates to release the pressure on the arm.

10. The vascular health instrument according to claim 8, characterized in that: The air circuit structure includes an air pump, a first solenoid valve, a second solenoid valve, a main air circuit, a first branch and a second branch; the air pump outlet is connected to the main air circuit, and the main air circuit connects the first branch and the second branch; an air release valve is provided on the main air circuit; a first solenoid valve is provided on the first branch, and a second solenoid valve is provided on the second branch.

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