WO2020228083A1

WO2020228083A1 - Statistical approach and device for individualized interval of blood pressure

Info

Publication number: WO2020228083A1
Application number: PCT/CN2019/090642
Authority: WO
Inventors: 王作第
Original assignee: 深圳六合六医疗器械有限公司
Priority date: 2019-05-13
Filing date: 2019-06-11
Publication date: 2020-11-19
Also published as: CN110037673A; CN110037673B

Abstract

Disclosed is a statistical approach and device for individualized interval of blood pressure. The method comprises the following steps: acquiring pulse data of a user (S20); obtaining an actual variable of the user's body according to the calculation based on the pulse data (S30); obtain an actual blood pressure value according to the calculation based on the pulse data (S40); verifying the actual blood pressure value by using the actual variable and saving the verified actual blood pressure value as a valid blood pressure value (S50); and establishing an individualized interval of blood pressure for the user according to the valid blood value (S60). The described method and device may establish individualized intervals of blood pressure suitable for different users, so as to scientifically manage the blood pressure situation of the users.

Description

Statistical method and device for individualized interval of blood pressure

This application is based on the Chinese patent application with the application number 201910393552.6 and the filing date of May 13, 2019, and claims its priority. The entire content of this application is hereby incorporated into this application as a whole.

Technical field

This application relates to the field of health management, and in particular to a method and device for statistic of blood pressure personalized interval.

Background technique

Blood pressure (BP) refers to the lateral pressure that acts on the vascular wall per unit area when the blood flows in the blood vessel, and it is the driving force for the blood to flow in the blood vessel. In different blood vessels, they are called arterial blood pressure, capillary blood pressure and venous blood pressure. Generally speaking, blood pressure refers to the arterial blood pressure of systemic circulation.

As an important indicator of human health, blood pressure changes can be used as an important reference for disease prevention and diagnosis. People need to check their blood pressure from time to time, especially for hypertensive patients, who need to have a real-time accurate grasp of their blood pressure. In reality, the blood pressure values tested by people are compared with the internationally prescribed blood pressure values. After our clinical tests, we found that the blood pressure of each person is quite different. Due to individual differences in the human body, for example, the blood pressure of some testers has exceeded the international standard. According to the international standard for blood pressure, the tester is already a hypertensive patient within the prescribed range. However, through the hospital's inspection, the tester's physical indicators are all normal.

In response to this situation, we propose a statistical method and device for personalized blood pressure intervals.

Application content

In order to solve the above-mentioned shortcomings of the prior art, the purpose of this application is to provide a method and device for statistic of personalized blood pressure interval.

In order to achieve the above purpose, the technical solution of this application is:

A statistical method for individualized intervals of blood pressure includes the following steps:

Collect user pulse data;

Calculate the actual variables of the user's body based on the pulse data;

The actual blood pressure value is calculated according to the pulse data,

Use actual variables to verify the actual blood pressure value, and use the actual blood pressure value passed the verification as the effective blood pressure value and save it;

According to the effective blood pressure value, establish the user's personalized blood pressure interval;

Wherein, the actual blood pressure value includes: actual diastolic blood pressure and actual systolic blood pressure, and the actual variables include: blood vessel radius, blood flow velocity, velocity, blood viscosity, peripheral resistance of blood vessels, amplitude of each heart beat, and extreme value of data points Point, stroke volume, area mean line, heartbeat interval, heartbeat interval, segment cut point, stratified cut point.

Further, before the step of collecting user pulse data, it further includes:

The user's basic blood pressure data is preset, and the basic blood pressure data includes the blood pressure reference value and the corresponding basic variable.

Further, the preset user basic blood pressure data, the basic blood pressure data includes the blood pressure reference value and the corresponding basic variable steps, including:

Collect multiple sets of pulse data of users;

Determine basic pulse data based on multiple sets of pulse data;

Calculate basic variables based on basic pulse data;

Use measurement tools to measure the user's blood pressure, and use the measurement result as the blood pressure reference value;

Associate and save the blood pressure baseline value and basic variables;

Among them, the blood pressure reference value includes the systolic blood pressure reference value Pbs and the diastolic blood pressure reference value Pds.

Further, the step of calculating the actual variables of the user's body according to the pulse data includes:

Calculate blood flow data, integrate the numerical points of the pulse data, calculate the speed of the numerical points, and get the blood flow speed inversely proportional to the speed of the numerical points;

Calculate the cardiac output, the cardiac output SV=(0.283/(k*k))(Ps-Pd)*T, where k=(Ps-Pm)/(Ps-Pd), where the parameter T is For cardiac cycle, Ps is the maximum value of a single measurement of pulse data, Pd is the minimum value of a single measurement of pulse data, and Pm is the plane tangent point of a single measurement of pulse curve;

Calculate the segment cut point, divide the single measured pulse curve into a segment, obtain the time and position information of the segment cut point, a is a natural number greater than 0;

Calculate the layer cut point, divide the above-mentioned segment into b layers, and obtain the data of each layer cut point, b is a natural number greater than 0.

Further, the step of calculating the actual blood pressure value according to the pulse data includes:

The actual blood pressure value includes the actual systolic pressure PPS and the actual diastolic pressure PPd, and the calculation formula is as follows:

Actual systolic pressure PPs=Pbs*(1+(Ps-Psn)/Ps);

Actual diastolic pressure PPd=Pds*(1+(Pd-Pdn)/Pd);

Among them, Pbs is the reference value of systolic blood pressure, Pds is the reference value of diastolic blood pressure, Ps is the maximum value of the basic pulse data, Pd is the minimum value of the basic pulse data, Psn is the maximum value of the actual pulse data, and Pdn is the actual pulse The minimum value of the data, n is a natural number greater than 0.

Further, after the step of establishing the user's personalized blood pressure interval according to the effective blood pressure value,

Perform linear normalization analysis on the effective blood pressure value to obtain the actual blood pressure value change trend;

Generate user blood pressure change report according to change trend.

Further, the step of collecting user pulse data includes:

Obtain pulse data through the sensor, the sampling frequency of the sensor is 500hz;

Filter and extract the effective numerical points of the pulse data.

This application also proposes a statistical device for personalized blood pressure intervals, including:

Pulse collection unit, used to collect user pulse data;

The variable calculation unit is used to calculate the actual variables of the user's body according to the pulse data;

The blood pressure calculation unit is used to calculate the actual blood pressure value according to the pulse data,

The effective verification unit is used to verify the actual blood pressure value using actual variables, and the actual blood pressure value passed the verification is regarded as the effective blood pressure value and saved;

The interval determining unit is used to establish a user's personalized blood pressure interval according to the effective blood pressure value;

Further, it further includes a pre-setting unit for pre-setting user basic blood pressure data, the basic blood pressure data including blood pressure reference values and corresponding basic variables;

The preset unit includes a pre-acquisition module, a selection module, a variable calculation module, a blood pressure measurement module, and an associated storage module,

The pre-collection module is used to collect multiple sets of pulse data of the user;

The selection module is used to determine basic pulse data according to multiple sets of pulse data;

The variable calculation module is used to calculate basic variables according to basic pulse data;

The blood pressure measurement module is used to measure the user's blood pressure using a measurement tool, and use the measurement result as a blood pressure reference value;

The associated saving module is used for associating and saving the blood pressure reference value and the basic variable;

Further, the actual blood pressure value includes the actual systolic pressure PPS and the actual diastolic pressure PPd, and the blood pressure calculation unit uses the following formula to calculate the actual systolic pressure PPS and the actual diastolic pressure PPd:

Actual systolic pressure PPs=Pbs*(1+(Ps-Psn)/Ps);

Actual diastolic pressure PPd=Pds*(1+(Pd-Pdn)/Pd);

The beneficial effects of this application are: the user’s actual blood pressure value and actual variable data are calculated according to the collected user’s pulse data, the validity of the actual blood pressure value is verified through the actual variable data, and the effective blood pressure value is used to establish the user’s personalized blood pressure Interval, according to different users to establish a personalized blood pressure interval suitable for the user, and accurately and scientifically manage the blood pressure of different users.

Description of the drawings

FIG. 1 is a method flowchart of a method for statistic of blood pressure personalized interval according to an embodiment of the application;

Figure 2 is a flow chart of a specific method for collecting user pulse data in this application;

FIG. 3 is a method flowchart of a method for statistic of a blood pressure personalized interval according to another embodiment of this application;

FIG. 4 is a flow chart of a specific method for pre-setting basic blood pressure data of the user in this application, and the basic blood pressure data includes the blood pressure reference value and the corresponding basic variable steps;

FIG. 5 is a structural principle block diagram of a blood pressure personalized interval statistics device according to an embodiment of this application;

Fig. 6 is a structural principle block diagram of a preset unit of this application;

Fig. 7 is a block diagram of the structure and principle of the pulse collection unit of this application;

Figure 8 is a data segment coordinate diagram of a single pulse data;

Figure 9 is a graph of the coordinate curve of a single pulse data.

Detailed ways

In order to illustrate the idea and purpose of the application, the application will be further described below in conjunction with the drawings and specific embodiments.

The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of this application.

It should be noted that all the directional indicators (such as up, down, left, right, front, back, etc.) in the embodiments of this application are only used to explain the relative relationship between the various components in a certain posture (as shown in the accompanying drawings). If the position relationship, movement situation, etc. change, the directional indication will change accordingly. The connection can be a direct connection or an indirect connection.

In addition, the descriptions related to "first", "second", etc. in this application are only for descriptive purposes, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on what can be achieved by a person of ordinary skill in the art. When the combination of technical solutions is contradictory or cannot be achieved, it should be considered that such a combination of technical solutions does not exist. , Not within the scope of protection required by this application.

Unless otherwise specified, "/" in this article means "or".

Referring to Figures 1-4 and 8 and 9, an embodiment of the present application proposes a method for statistic of personalized blood pressure intervals, including the following steps:

S20. Collect user pulse data.

S30. Calculate actual variables of the user's body according to the pulse data.

S40. Calculate the actual blood pressure value according to the pulse data;

S50: Use actual variables to verify the actual blood pressure value, and use the actual blood pressure value passed the verification as the effective blood pressure value and save it.

S60. Establish a user's personalized blood pressure interval according to the effective blood pressure value.

Referring to FIG. 3, before step S20, it further includes step S10: pre-setting the user's basic blood pressure data, the basic blood pressure data including the blood pressure reference value and the corresponding basic variable.

For step S10, at the very beginning, collect multiple sets of pulse data of the target user (3 sets or more), and compare the 3 sets of pulse data to determine suitable pulse data as the basic pulse data , And extract the numerical points of the basic pulse data, calculate the corresponding basic variables, and use the blood pressure meter to measure the current blood pressure as the blood pressure reference value, including the systolic blood pressure reference value Pbs and the diastolic blood pressure reference value Pds, and the blood pressure reference value association basis Variables are stored as basic blood pressure data, and a weight k is calculated according to the blood pressure reference value and the numerical points (Ps, Pb, and Pm) of the basic pulse data, and k=(Ps-Pm)/(Ps-Pd) is also stored together In the database, the subsequently newly calculated actual blood pressure data is verified using the weight k. Specifically, in the subsequent calculation, the weight k data is calculated each time according to the pulse data, and the weight k may be different each time.

Referring to FIG. 4, step S10 includes the following steps:

S11. Collect multiple sets of pulse data of the user.

S12. Determine basic pulse data according to multiple sets of pulse data.

S13. Calculate the basic variables according to the basic pulse data.

S14. Use a measurement tool to measure the user's blood pressure, and use the measurement result as a blood pressure reference value.

S15. Associate and save the blood pressure reference value and the basic variable.

For steps S11-S15, multiple sets of pulse data are obtained, used to compare the pulse data, and filter out the most suitable pulse data, so as to avoid errors in using only a single pulse data. At the same time, the above-mentioned basic variables are calculated according to the pulse data, which are used for subsequent verification of the newly calculated blood pressure value, and the effective blood pressure value is screened out.

For step S20, the user's pulse data is collected through the sensor. Specifically, the sampling frequency of the sensor is 500hz, and the collection time for each set of collected pulse data can be preset to 90 seconds, so that more than 40,000 pulse data can be collected each time. These pulse data value points are filtered and displayed in the same coordinate system, and the above-mentioned value points form a volatility change in the coordinate system as a whole, as shown in Figure 8.

Referring to FIG. 2, step S20 includes:

S21. Obtain pulse data through a sensor, and the sampling frequency of the sensor is 500 Hz.

S22. Filtering and extracting effective numerical points of the pulse data.

For steps S21 and S22, after the pulse data is collected by sensing, the pulse data is filtered and the effective numerical points of the pulse data are extracted. The numerical points here include the maximum value Ps, the minimum value Pd, and the The point Pm that divides the area on both sides of the pulse curve is used for subsequent calculation of actual variables.

Specifically, the sampling frequency of the sensor is 500HZ, that is, 500 data points are collected per second. However, the maximum number of data per heartbeat is 485 and the minimum is 285. When the collected pulse data does not meet this condition, It is determined that there is a problem with the collected data and it needs to be collected again. Multiple pulse data can be acquired within a collection period of 90 seconds, but when the pulse extracted by the algorithm is less than 12, the pulse data is considered invalid.

For step S30, calculate the actual variables of the calculation according to the numerical points of the pulse data, and calculate the blood vessel radius, blood flow velocity, velocity, blood viscosity, peripheral resistance of the blood vessel, the amplitude of each heart beat, and the extreme value of the data point. Point, average cut point, difference threshold point, stroke volume, heartbeat interval, heartbeat interval, segment cut point, stratified cut point.

Specifically, the calculation process of different actual variables includes,

a1. Calculate blood flow data, integrate the numerical points of the pulse data, calculate the speed of the numerical points, and obtain the blood flow speed inversely proportional to the speed of the numerical points.

a2. Calculate the cardiac output, the cardiac output SV=(0.283/(k*k))(Ps-Pd)*T, k=(Ps-Pm)/(Ps-Pd), where the parameter T is In the cardiac cycle, Ps is the maximum value of a single measurement of pulse data, Pd is the minimum value of a single measurement of pulse data, and Pm is the plane tangent point of the single measurement pulse curve, as shown in Figure 8.

a3. Calculate the segment tangent point, divide the single measured pulse curve into a segment, and obtain the time and position information of the segment tangent point, a is a natural number greater than 0. As shown in Figure 8, in this embodiment, the measured pulse curve is divided into A1, A2, A3, B1, B2, B3, C1, C2, and C3, a total of 8 segments, and the segment tangent points correspond to 8 segments. , By segmenting the measured pulse curve, the measured pulse curve can be refined and the specific data of each segment change can be obtained.

a4. Calculate the hierarchical cut point, divide the above segment into b hierarchies, and obtain the data of each hierarchical cut point. b is a natural number greater than 0. In this embodiment, b is 7, and in the above 8 On the basis of each segment, each segment is divided into 7 layers, the data of each segment is further refined, and the specific data of each layer change is obtained.

a5. Calculate the blood viscosity ratio.

a6. Calculate the radius of the blood vessel. Assuming that the radius of the blood vessel is constant within a certain range, calculate the ratio of the maximum and minimum values of continuous pulse data corresponding to a certain period of time. The continuous pulse data refers to the continuous collection within a certain period of time. Pulse data, such as 100 pulse data continuously collected within 90 seconds, each pulse data can be calculated as a ratio of a maximum value to a minimum value.

a7. Calculate the speed, which is obtained through the change of slope after linear normalization according to multiple speeds of numerical points in a period of time.

a8. Calculate the peripheral resistance. The peripheral resistance is the ratio of the value of the descending isthmus (position R2 in Figure 8) to the extreme point in the pulse data curve.

a9. Calculate the stroke amplitude of each heart beat, and select the maximum value of all pulse data in a period of time.

a10. Calculate the plane tangent point, which is a set of data points Pm that can equally divide the area on both sides.

a11. Calculate the difference threshold point, which is the maximum point and minimum point of each heart beat.

a12. Calculate the heartbeat gap, which is the connection between the extreme points of every two beats. a13. Calculate the heartbeat interval, which is the minimum interval between every two beats.

For step S40, after calculating the above-mentioned actual variables, the actual blood pressure value is calculated according to the numerical points (Ps, Pd, Pm) of the pulse data.

For step S40, the actual blood pressure value includes the actual systolic pressure PPS and the actual diastolic pressure PPd, and the corresponding calculation formula is as follows:

Actual systolic pressure PPs=Pbs*(1+(Ps-Psn)/Ps).

Actual diastolic pressure PPd=Pds*(1+(Pd-Pdn)/Pd).

For step S50, after the actual variable and the actual blood pressure value are calculated according to the pulse data, the actual blood pressure value is compared with the blood pressure reference value, and the actual variable is compared with the actual blood pressure value. According to common sense in the field, when blood pressure changes, blood vessel radius, blood flow velocity, velocity, peripheral resistance of blood vessels, amplitude of each heart beat, extreme points of data points, average cut points, differential threshold points, heart beats Variables such as volume, heartbeat interval, heartbeat interval, segment cut point, and stratified cut point will change. If the actual blood pressure value changes relative to the blood pressure reference value, but the actual variable does not change relative to the basic variable, or the degree of change does not correspond to the degree of change in the actual blood pressure value, it means that the collected pulse data is invalid and the calculated value The actual blood pressure value and actual variable are invalid and need to be collected again.

It should be noted that when the actual blood pressure value changes relative to the blood pressure reference value, the actual variables will also change. In specific comparisons, it is not necessarily required that all the above variables change. According to actual needs, most variables can be changed. The actual blood pressure value calculated from the pulse data collected this time is judged to be valid. Specifically, it can be judged after the corresponding changes of 7 or more actual variables among all 13 variables. The data is valid.

Specifically, when the systolic and diastolic blood pressures of the actual blood pressure are calculated, the actual variables calculated above are used for evaluation. For example: the blood pressure is calculated to be very large, such as systolic blood pressure 180, diastolic blood pressure 99, the corresponding actual variables will also change at this time, for example, the blood vessel radius will increase at this time, on the contrary, the blood pressure is high, but the blood vessel radius will not increase If it is large, then it can be judged that the actual blood pressure value obtained is invalid. Finally, the effective blood pressure values deemed reasonable are obtained and sorted, and the interval between the minimum and maximum values of all effective blood pressure values is the personalized blood pressure interval.

For step S60, in addition to collecting pulse data at a certain interval for calculating the actual blood pressure value, the sensor can also collect pulse data at a specific time point/segment to calculate the actual blood pressure value, which can be obtained within a period of time Multiple effective blood pressure values, sort all effective blood pressure values, and use the maximum and minimum values as the personalized blood pressure interval of the target customer's blood pressure. The personalized blood pressure interval is more suitable for the target user than the existing standard blood pressure interval The blood pressure health status of the user can be more accurate through personalized blood pressure range, and the user's own blood pressure can be managed scientifically, accurately and efficiently.

Specifically, step S60 includes. All effective blood pressure values are sorted, and the maximum and minimum of all effective blood pressure values are used as the extreme values of the user's personalized blood pressure interval.

Through the background algorithm, the personalized blood pressure interval will be calculated according to the newly collected effective blood pressure value every day, and the interval where the blood pressure value data is evenly distributed is our personalized blood pressure interval, for example: {65, 68, 67, 70, 85, 65, 66, 64, 73, 75, 66, 74, 68, 69}, then 85 is not evenly distributed, we will remove it, then the personalized interval is {65-75}, the above values are just for illustration, It does not mean that the above values are true values.

Referring to FIG. 3, after step S60, it includes:

S70. Perform a linear naturalization analysis on the effective blood pressure value to obtain the change trend of the actual blood pressure value.

S80. Generate a user's blood pressure change report according to the change trend.

For steps S70 and S80, analyze the trend change of the blood pressure value according to the existing effective blood pressure value, and perform a linear normalization analysis on the effective blood pressure value (actual blood pressure value). After the normalization, the linear slope change directly reflects the change of the user's blood pressure. The change trend generates a user's blood pressure change report, and when the above-mentioned personalized blood pressure interval is exceeded, a corresponding message is issued to the user to alert the user to raise/lower blood pressure, and pay attention to rest.

This solution calculates the user’s actual blood pressure value and actual variable data based on the collected user’s pulse data, verifies the validity of the actual blood pressure value through the actual variable data, and uses the effective blood pressure value to establish the user’s personalized blood pressure interval. Establish a personalized blood pressure interval suitable for the user, and accurately and scientifically manage the blood pressure of different users.

With reference to Figures 5-9, this application also proposes a blood pressure personalized interval statistics device, including:

The pre-setting unit 10 is used to pre-set the user's basic blood pressure data. The basic blood pressure data includes a blood pressure reference value and a corresponding basic variable.

The pulse collection unit 20 is used to collect user pulse data.

The variable calculation unit 30 is used to calculate actual variables of the user's body according to the pulse data.

The blood pressure calculation unit 40 is used to calculate the actual blood pressure value according to the pulse data,

The valid verification unit 50 is used to verify the actual blood pressure value using actual variables, and use the actual blood pressure value passed the verification as the effective blood pressure value and save it.

The interval determining unit 60 is configured to establish a user's personalized blood pressure interval according to the effective blood pressure value.

The trend analysis unit 70 is configured to perform linear normalization analysis on the effective blood pressure value, obtain the actual blood pressure value change trend, and generate a user blood pressure change report according to the change trend.

For the preset unit 10, at the beginning, multiple sets of pulse data of the target user (may be 3 sets or more) are collected first, and the 3 sets of pulse data are compared with each other to determine suitable pulse data as a basis Pulse data, and extract the numerical points of the basic pulse data, calculate the corresponding basic variables, and use the blood pressure meter to measure the current blood pressure as the blood pressure reference value, including the systolic blood pressure reference value Pbs and the diastolic blood pressure reference value Pds, and the blood pressure reference value The associated basic variables are stored as basic blood pressure data, and a weight k is calculated based on the blood pressure reference value and the numerical points (Ps, Pb and Pm) of the basic pulse data, k=(Ps-Pm)/(Ps-Pd) also They are stored in the database together, and the newly calculated actual blood pressure data is verified using the weight k. Specifically, in the subsequent calculation, the weight k data is calculated each time according to the pulse data, and the weight k may be different each time.

Referring to Figure 6, the preset unit includes a pre-acquisition module, a selected module, a variable calculation module, a blood pressure measurement module, and an associated storage module.

The pre-collection module 11 is used to collect multiple sets of pulse data of the user.

The selection module 12 is used to determine basic pulse data according to multiple sets of pulse data.

The variable calculation module 13 is used to calculate basic variables based on basic pulse data.

The blood pressure measurement module 14 is used to measure the user's blood pressure using a measurement tool, and use the measurement result as a blood pressure reference value.

The associated saving module 15 is used for associating and saving the blood pressure reference value and the basic variable.

Obtain multiple sets of pulse data, use to compare pulse data, and filter out the most suitable pulse data to avoid errors in using only a single pulse data. At the same time, the above-mentioned basic variables are calculated according to the pulse data, which are used for subsequent verification of the newly calculated blood pressure value, and the effective blood pressure value is screened out.

For the pulse collection unit 20, the user’s pulse data is collected through the sensor. Specifically, the sampling frequency of the sensor is 500hz. The collection time for each collection of pulse data can be pre-set to 90 seconds, so that the pulse data can be acquired every time More than 40000 numerical points, these pulse data numerical points are filtered and displayed in the same coordinate system. The above-mentioned numerical points form a volatility change in the coordinate system as a whole, as shown in Figures 8 and 9.

Referring to FIG. 7, the pulse collection unit 20 includes a collection module 21 and a filter extraction module 22.

The acquisition module 21 is used to acquire pulse data through a sensor, and the sampling frequency of the sensor is 500 Hz.

The filtering and extracting module 22 is used to filter and extract the effective numerical points of the pulse data.

After the pulse data is collected by sensing, the pulse data is filtered and the effective value points of the pulse data are extracted. The value points here include the maximum value Ps, the minimum value Pd as shown in Figure 9, and the two sides of the pulse curve can be divided equally The point Pm of the area is used for subsequent calculation of actual variables.

For the variable calculation unit 30, the actual variables of this calculation are calculated according to the numerical points of the pulse data, and the blood vessel radius, blood flow velocity, velocity, blood viscosity, peripheral resistance of the blood vessel, the amplitude of each heart beat, and the value of the data points are calculated respectively. Extreme point, average cut point, difference threshold point, stroke volume, heartbeat interval, heartbeat interval, segment cut point, stratified cut point.

Specifically, the calculation process of different actual variables includes,

a5. Calculate the blood viscosity ratio.

a6. Calculate the radius of the blood vessel. Assuming that the radius of the blood vessel is constant within a certain range, calculate the ratio of the maximum value to the minimum value of continuous pulse data within a certain period of time. The continuous pulse data refers to the pulse collected continuously within a certain period of time. Data, such as 100 pulse data collected continuously within 90 seconds, each pulse data can be calculated as a ratio of a maximum value to a minimum value.

a8. Calculate the peripheral resistance. The peripheral resistance is the ratio of the value of the descending isthmus (position R2 in Figure 9) to the extreme point in the pulse data curve.

For the blood pressure calculation unit 40, the actual blood pressure value includes the actual systolic pressure PPS and the actual diastolic pressure PPd, and the blood pressure calculation unit uses the following formula to calculate the actual systolic pressure PPS and the actual diastolic pressure PPd:

Actual systolic pressure PPs=Pbs*(1+(Ps-Psn)/Ps);

Actual diastolic pressure PPd=Pds*(1+(Pd-Pdn)/Pd).

For the valid verification unit 50, after calculating the actual variable and the actual blood pressure value based on the pulse data, the actual blood pressure value is compared with the blood pressure reference value, and the actual variable is compared with the actual blood pressure value. According to common knowledge in the field, when blood pressure changes, blood vessel radius, blood flow velocity, velocity, peripheral resistance of blood vessel, amplitude of each heart beat, extreme value point of data point, average cut point, difference threshold point, heart beat rate Variables such as volume, heartbeat interval, heartbeat interval, segment cut point, and stratified cut point will change. If the actual blood pressure value changes relative to the blood pressure reference value, but the actual variable does not change relative to the basic variable, or the degree of change does not correspond to the degree of change in the actual blood pressure value, it means that the collected pulse data is invalid and the calculated value The actual blood pressure value and actual variable are invalid and need to be collected again.

For the interval determination unit 60, in addition to collecting pulse data at intervals for calculating the actual blood pressure value, the sensor can also collect pulse data at a specific time point/segment to calculate the actual blood pressure value. Obtain multiple effective blood pressure values, sort all effective blood pressure values, and use the maximum and minimum values as the personalized blood pressure interval of the target customer's blood pressure. The personalized blood pressure interval is more suitable than the existing standard blood pressure interval The blood pressure health of the target user can be more accurate through personalized blood pressure range, and the user's own blood pressure can be managed scientifically, accurately and efficiently.

Specifically, all effective blood pressure values are sorted, and the maximum value and the minimum value among all effective blood pressure values are used as the extreme values of the user's personalized blood pressure interval. Through the background algorithm, the personalized blood pressure interval will be calculated according to the newly collected effective blood pressure value every day, and the interval where the blood pressure value data is evenly distributed is our personalized blood pressure interval, for example: {65, 68, 67, 70, 85, 65, 66, 64, 73, 75, 66, 74, 68, 69}, then 85 is not evenly distributed, we will remove it, then the personalized interval is {65-75}, the above values are just for illustration, It does not mean that the above values are true values.

For the trend analysis unit 70, the trend change of blood pressure value is analyzed according to the existing effective blood pressure value, and the effective blood pressure value (actual blood pressure value) is subjected to linear normalization analysis. The change in the slope of the straight line after normalization directly reflects the change of the user's blood pressure. The change trend generates a user's blood pressure change report, and when the above-mentioned personalized blood pressure interval is exceeded, a corresponding message is issued to the user to alert the user to raise/lower blood pressure, and pay attention to rest.

The above are only the preferred embodiments of this application, and do not limit the scope of this application. Any equivalent structure or equivalent process transformation made using the content of this application description and drawings, or directly or indirectly applied to other related The technical field is equally included in the scope of patent protection of this application.

Summary of the invention

technical problem

The solution to the problem

The beneficial effects of the invention

Claims

A statistical method for individualized intervals of blood pressure, characterized in that it comprises the following steps:

Collect user pulse data;

Calculate the actual variables of the user's body based on the pulse data;

Calculate the actual blood pressure value according to the pulse data;

Use actual variables to verify the actual blood pressure value, and use the actual blood pressure value passed the verification as the effective blood pressure value and save it;

According to the effective blood pressure value, establish the user's personalized blood pressure interval;

Wherein, the actual blood pressure value includes: actual diastolic blood pressure and actual systolic blood pressure, and the actual variables include: blood vessel radius, blood flow velocity, velocity, blood viscosity, peripheral resistance of blood vessels, amplitude of each heart beat, and extreme value of data points Point, stroke volume, area mean line, heartbeat interval, heartbeat interval, segment cut point, stratified cut point.
8. The method for statistic of a personalized interval of blood pressure according to claim 1, characterized in that, before the step of collecting user pulse data, it further comprises:

The user's basic blood pressure data is preset, and the basic blood pressure data includes the blood pressure reference value and the corresponding basic variable.
The statistical method of blood pressure personalized interval according to claim 1, wherein the preset user basic blood pressure data, the basic blood pressure data includes the blood pressure reference value and the corresponding basic variable steps, including:

Collect multiple sets of pulse data of users;

Determine basic pulse data based on multiple sets of pulse data;

Calculate basic variables based on basic pulse data;

Use measurement tools to measure the user's blood pressure, and use the measurement result as the blood pressure reference value;

Associate and save the blood pressure baseline value and basic variables;

Among them, the blood pressure reference value includes the systolic blood pressure reference value Pbs and the diastolic blood pressure reference value Pds.
The statistical method for a personalized interval of blood pressure according to claim 1, wherein the step of calculating actual variables of the user's body according to pulse data comprises:

Calculate the blood flow data, integrate the numerical points of the pulse data, calculate the speed of the numerical points, and obtain the blood flow speed in inverse proportion to the speed of the numerical points;

Calculate the cardiac output, the cardiac output SV=(0.283/(k*k))(Ps-Pd)*T, where k=(Ps-Pm)/(Ps-Pd), where the parameter T is For cardiac cycle, Ps is the maximum value of a single measurement of pulse data, Pd is the minimum value of a single measurement of pulse data, and Pm is the plane tangent point of a single measurement of pulse curve;

Calculate the segment cut point, divide the single measured pulse curve into a segment, obtain the time and position information of the segment cut point, a is a natural number greater than 0;

Calculate the layer cut point, divide the above-mentioned segment into b layers, and obtain the data of each layer cut point, where b is a natural number greater than 0.
The statistical method for a personalized interval of blood pressure according to claim 3, wherein the step of calculating the actual blood pressure value according to the pulse data comprises:

The actual blood pressure value includes the actual systolic pressure PPS and the actual diastolic pressure PPd, and the calculation formula is as follows:

Actual systolic pressure PPs=Pbs*(1+(Ps-Psn)/Ps);

Actual diastolic pressure PPd=Pds*(1+(Pd-Pdn)/Pd);

Among them, Pbs is the reference value of systolic blood pressure, Pds is the reference value of diastolic blood pressure, Ps is the maximum value of the basic pulse data, Pd is the minimum value of the basic pulse data, Psn is the maximum value of the actual pulse data, and Pdn is the actual pulse The minimum value of the data, n is a natural number greater than 0.
8. The method for statistic of personalized blood pressure interval according to claim 1, wherein after the step of establishing the user personalized blood pressure interval according to the effective blood pressure value,

Perform linear normalization analysis on the effective blood pressure value to obtain the actual blood pressure value change trend;

Generate user blood pressure change report according to change trend.
The statistical method of personalized blood pressure interval according to claim 1, wherein the step of collecting user pulse data comprises:

Obtain pulse data through the sensor, the sampling frequency of the sensor is 500hz;

Filter and extract the effective numerical points of the pulse data.
A statistical device for personalized intervals of blood pressure, which is characterized in that it includes:

Pulse collection unit, used to collect user pulse data;

The variable calculation unit is used to calculate the actual variables of the user's body according to the pulse data;

The blood pressure calculation unit is used to calculate the actual blood pressure value according to the pulse data;

The effective verification unit is used to verify the actual blood pressure value using actual variables, and the actual blood pressure value passed the verification is regarded as the effective blood pressure value and saved;

The interval determining unit is used to establish a user's personalized blood pressure interval according to the effective blood pressure value;

Wherein, the actual blood pressure value includes: actual diastolic blood pressure and actual systolic blood pressure, and the actual variables include: blood vessel radius, blood flow velocity, velocity, blood viscosity, peripheral resistance of blood vessels, amplitude of each heart beat, and extreme value of data points Point, stroke volume, area mean line, heartbeat interval, heartbeat interval, segment cut point, stratified cut point.
8. The statistical device for personalized blood pressure intervals according to claim 8, further comprising a presetting unit for pre-setting basic blood pressure data of the user, the basic blood pressure data including blood pressure reference values and corresponding basic variables;

The preset unit includes a pre-acquisition module, a selection module, a variable calculation module, a blood pressure measurement module and an associated saving module,

The pre-collection module is used to collect multiple sets of pulse data of the user;

The selection module is used to determine basic pulse data according to multiple sets of pulse data;

The variable calculation module is used to calculate basic variables according to basic pulse data;

The blood pressure measurement module is used to measure the user's blood pressure using a measurement tool, and use the measurement result as a blood pressure reference value;

The associated saving module is used for associating and saving the blood pressure reference value and the basic variable;

Among them, the blood pressure reference value includes the systolic blood pressure reference value Pbs and the diastolic blood pressure reference value Pds.
The statistical device for a personalized interval of blood pressure according to claim 9, wherein the actual blood pressure value includes the actual systolic pressure PPS and the actual diastolic pressure PPd, and the blood pressure calculation unit uses the following formula to calculate the actual systolic pressure PPS and the actual diastolic pressure PPd:

Actual systolic pressure PPs=Pbs*(1+(Ps-Psn)/Ps);

Actual diastolic pressure PPd=Pds*(1+(Pd-Pdn)/Pd);

Among them, Pbs is the reference value of systolic blood pressure, Pds is the reference value of diastolic blood pressure, Ps is the maximum value of the basic pulse data, Pd is the minimum value of the basic pulse data, Psn is the maximum value of the actual pulse data, and Pdn is the actual pulse The minimum value of the data, n is a natural number greater than 0.