WO2020237722A1

WO2020237722A1 - Method and apparatus for giving reminder regarding sitting for a long time

Info

Publication number: WO2020237722A1
Application number: PCT/CN2019/090640
Authority: WO
Inventors: 王作第
Original assignee: 深圳六合六医疗器械有限公司
Priority date: 2019-05-27
Filing date: 2019-06-11
Publication date: 2020-12-03
Also published as: CN110063719A

Abstract

Provided are a method and apparatus for giving a reminder regarding sitting for a long time. The method comprises: collecting heartbeat data points of a human body; generating a pulse waveform according to the collected heartbeat data points; respectively calculating a blood flow velocity, the radius of a blood vessel, the velocity, the peripheral resistance of the blood vessel, the amplitude of each beat of the heart, a heartbeat gap, a heartbeat interval, a segmented cut point, a layered cut point and a timing sequence corresponding point according to the numerical values of the maximum value point, the minimum value point and a dicrotic notch point of the pulse waveform; carrying out normalization processing on the calculated numerical values to obtain stable state parameters; according to a correlation between the stable state parameters and a preset stable state grade, matching a stable state grade; determining whether the matched stable state grade is within a range for giving a reminder regarding sitting for a long time, and if so, sending a reminder regarding sitting for a long time to a person who has been sitting for a long time. According to the present application, whether a person is in a state involving sitting for a long time can be calculated, and a message reminder is sent to the people who are in the state involving sitting for a long time, thereby helping the person to manage his/her health.

Description

Sedentary reminding method and device

This application is based on the Chinese patent application with the application number 201910446445.5 and the filing date on May 27, 2019, and claims its priority. The entire content of the application is hereby incorporated into this application as a whole.

Technical field

This application relates to a reminding method and device, in particular to a sedentary reminding method and device.

Background technique

Today's social health is a hot topic that people are most concerned about, but there is no time to manage their health in busy work. In particular, some of the physical manifestations, such as working overtime every day, basically sit and work as soon as you go to work, but sitting for too long can cause some physical diseases. With the passage of time, the whole person has gradually become more negative, and at the same time, the negative effects have gradually appeared, which seriously affects work and life; and people’s blood flow speed, blood vessel radius, velocity, and blood vessel Peripheral resistance, the amplitude of each heartbeat, the gap between heartbeats, and the changes in heartbeat interval are closely related to people sitting for a long time. If you can detect this situation early, prevent and manage your health early, you can completely avoid this development. Therefore, it is necessary to propose a method that can remind the sedentary to be sedentary.

Application content

The technical problem to be solved by this application is to provide a sedentary reminder method to help people better manage their health.

In order to solve the above technical problems, the technical solution adopted in this application is: a sedentary reminder method, the sedentary reminder method includes the following steps:

S10. Collect human heart beat data points;

S20. Generate a pulse waveform according to the collected heart beat data points;

S30. Calculate the blood flow velocity, blood vessel radius, velocity, peripheral resistance of the blood vessel, the amplitude of each heart beat, the gap between heartbeats, and the value of the maximum point, minimum point and descending isthmus point of the pulse waveform. Heartbeat interval, segment cut point, layer cut point, timing correspondence point;

S40. Normalize the calculated value to obtain steady state parameters;

S50: According to the corresponding relationship between the stable state parameter and the preset stable state level, match the stable state level;

S60. Determine whether the matched stable state level is within the range of the sedentary reminder, and if so, send a sedentary state reminder to the sedentary.

Further, the sedentary reminder method further includes the following steps:

S70. Determine whether the number of heartbeat data points in each collected heartbeat cycle is between 285 and 485; if yes, continue to determine whether the waveform of each heartbeat cycle in every 90S period belongs to the number of normal pulse waveforms 12 or more; if not, the heart beat data points in the 90S time period are invalid, and the heart beat data points in this time period are eliminated;

S80: After removing invalid heart beat data points, perform steps S20-S60 again.

Further, the step S30 specifically includes:

Calculate the blood flow velocity and integrate a segment of the pulse waveform; calculate the numerical point velocity according to the sampling frequency, the velocity of the numerical point is inversely proportional to the blood flow velocity;

Calculating a blood vessel radius, the blood vessel radius being a proportional coefficient of the maximum value and the minimum value of the pulse waveform;

Calculating the rate, which is the rate of change of the velocity of the pulse point data on the pulse waveform, which is obtained through the change of the slope after linear normalization according to multiple velocities;

Calculate the peripheral resistance, which is the ratio of the descending isthmus point and the extreme point of the pulse waveform;

Calculate the beat amplitude of each heart beat, where the beat amplitude of each heart beat is the maximum value of the pulse waveform;

Calculate the line gap, where the line gap is the line connecting the extreme points of every two beats;

Calculate the heartbeat interval, where the heartbeat interval is the minimum interval of every two heart beats;

Calculating a segmented tangent point, where the segmented tangent point is a value of a segmentation point that divides a continuous pulse waveform into 8 segments;

Calculating a layered cut point, where the layered cut point is a value obtained by dividing each of the 8 segments into 7 small segments;

Calculate the time sequence corresponding point, the time sequence corresponding point is the time sequence of the stored standard value, which is used for comparison with the newly collected value.

Further, the step S30 also includes calculating the plane tangent point, the difference threshold point, and the cardiac output; the specific calculation process is:

Calculate the plane tangent point, where the plane tangent point is a point where the pulse waveform can equally divide the area of both sides;

Calculate the difference threshold point, the difference threshold point being the maximum point and the minimum point of each heart beat.

To calculate the stroke volume, the calculation formula is: sv=(0.283/(k*k))(Ps-Pd)*T;

Among them, k=(Ps-Pm)/(Ps-Pd), T is the cardiac cycle, Ps is the maximum value, Pd is the minimum value, and Pm is the value of the descending isthmus point.

In order to solve the above technical problem, another technical solution adopted in this application is: a sedentary reminder device, the sedentary reminder device includes:

Data collection module, used to collect human heart beat data points;

Pulse waveform generation module, used to generate pulse waveform according to the collected heart beat data points;

Parameter calculation module, used to calculate the blood flow velocity, blood vessel radius, velocity, peripheral resistance of blood vessels, and the amplitude of each heart beat according to the maximum point, minimum point and descending isthmus point of the pulse waveform , Heartbeat gap, heartbeat interval, segment cut point, layer cut point, timing correspondence point;

The normalization processing module is used to normalize the calculated values to obtain steady state parameters;

The stable state level matching module is used to match the stable state level according to the correspondence between the stable state parameters and the preset stable state level;

The sedentary state reminder module is used to determine whether the matched stable state level is within the range of the sedentary reminder, and if so, it sends a sedentary state reminder to the sedentary.

Further, the sedentary reminder device further includes:

The data screening module is used to determine whether the number of heart beat data points in each heartbeat cycle collected is between 285 and 485; if so, continue to determine that the waveform of each heartbeat cycle in every 90S time period belongs to normal pulse Whether the number of waveforms is greater than or equal to 12; if not, the heart beat data points in the 90S time period are invalid, and the heart beat data points in this time period are eliminated;

The jump execution module is used to remove invalid heart beat data points and transfer to the pulse waveform generation module.

Further, the parameter calculation module is specifically used for:

Calculating a blood vessel radius, the blood vessel radius being the proportional coefficient of the maximum value and the minimum value of the pulse waveform;

Calculate the heartbeat interval, the heartbeat interval being the minimum interval of every two heart beats;

The time sequence corresponding point is calculated, and the time sequence corresponding point is the time sequence of the stored standard value, which is used for comparison with the newly collected value.

Further, the parameter calculation module is also used to calculate plane tangent points, difference threshold points, and cardiac output; the specific calculation process is:

The technical effect of the present application is that the method generates pulse waveforms from heart beat data, calculates body parameters related to sedentary, and evaluates the sedentary state of the human body through the parameters, and warns whether people are in a sedentary state. Send out message reminders to help people better manage their health and provide users with convenient, real-time, safe and accurate services.

Description of the drawings

The specific structure of the application will be described in detail below with reference to the drawings.

Fig. 1 is a flowchart 1 of a sedentary reminding method according to a specific embodiment of this application;

2 is a second flowchart of a sedentary reminder method according to a specific embodiment of the application;

Fig. 3 is a block diagram 1 of a sedentary reminder device according to a specific embodiment of the application;

Fig. 4 is a second block diagram of a sedentary reminding device module according to a specific embodiment of the application;

Fig. 5 is a pulse waveform diagram of a specific embodiment of the application;

Among them, Ps: maximum value point; Pd: minimum value point; Pm: lower middle gorge point.

Detailed ways

In order to describe in detail the technical content, structural features, achieved objectives and effects of the present application, the following detailed descriptions are given in conjunction with the embodiments and accompanying drawings.

As shown in Figure 1, a specific embodiment of the present application is: a sedentary reminder method, the sedentary reminder method includes the following steps:

S10. Collect human heart beat data points;

S40. Normalize the calculated value to obtain steady state parameters;

In this embodiment, the heartbeat data points can be collected by smart watches or smart bracelet sensors, and the collected data points generate a data model, that is, generate pulse waveforms, according to the maximum point and minimum value of the pulse waveform The value of the point and the descending isthmus point can calculate the body's blood flow velocity, blood vessel radius, velocity, peripheral resistance of the blood vessel, the amplitude of each heart beat, heartbeat interval, heartbeat interval, segmental cut point, stratified cut point , Time sequence corresponding point, and then normalize the calculated value; for example, a set (2, 3, 4, 5) has four numbers, after normalization, 2+3+4+5=14; get The new set of is (2/14, 3/14, 4/14, 5/14), and the sum of the new set values is the maximum of 1; then the ratio between the new value and the maximum value And the stable state parameters are obtained, and the stable state level corresponding to the stable state parameters is matched. If the stable state parameter is less than 0.4, it is judged as a non-sedentary reminder, and if the steady state parameter is greater than 0.4, it is judged as a sedentary reminder. Sedentary status, recommended activities, relief status; sedentary reminders include vibration reminders, voice reminders or text reminders; this method generates pulse waveforms from heart beat data, calculates body parameters related to sedentary, and evaluates the body’s longevity through parameters Sitting state, early warning whether they are in a sedentary state, and sending a message reminder to people in a sedentary state to help people better manage their health and provide users with convenient, real-time, safe and accurate services.

As shown in FIG. 2, in a specific embodiment, the sedentary reminder method further includes the following steps:

S70. Determine whether the number of heart beat data points in each collected heartbeat cycle is between 285 and 485; if so, continue to determine whether the waveform of each heartbeat cycle in every 90S period belongs to the number of normal pulse waveforms 12 or more; if not, the heart beat data points in the 90S time period are invalid, and the heart beat data points in this time period are eliminated;

S80. After removing invalid heart beat data points, perform steps S20-S60 again.

In this embodiment, the collected heart beat data points are screened, and the number of heart beat data points in each collection period is not between 285 and 485, so they are eliminated; the data points in every 90S time period are filtered out. The pulse waveform belongs to the normal pulse waveform and the data points corresponding to the pulse waveform whose number is less than 12 are eliminated; then the pulse waveform is regenerated, and this processing can improve the accuracy by 30%.

As shown in FIG. 5, in a specific embodiment, the step S30 specifically includes:

Calculate the time sequence corresponding point, the time sequence corresponding point is the time sequence storing the standard value, which is used for comparison with the newly collected value.

As shown in FIG. 5, in a specific embodiment, the step S30 further includes calculating plane tangent points, difference threshold points, and cardiac output; the specific calculation process is:

As shown in FIG. 3, another specific embodiment of the present application is: a sedentary reminder device, the sedentary reminder device includes:

Data collection module, used to collect human heart beat data points;

The sedentary state reminder module is used to determine whether the matched stable state level is within the range of the sedentary reminder.

As shown in FIG. 4, in a specific embodiment, the sedentary reminder device further includes:

In a specific embodiment, the parameter calculation module is specifically configured to:

In a specific embodiment, the parameter calculation module is further used to calculate plane tangent points, difference threshold points, and cardiac output; the specific calculation process is,

The device embodiment of the present application includes all the content of the method embodiment, and has the same technical effect as the method embodiment, so it will not be repeated here.

Here, the first and second... only represent the distinction between their names, and do not represent any difference in their importance and position.

Here, up, down, left, right, front, and back only represent their relative positions and not their absolute positions.

The above are only examples of this application, and do not limit the scope of this application. Any equivalent structure or equivalent process transformation made by using the description and drawings of this application, or directly or indirectly applied to other related technologies In the same way, all fields are 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 sedentary reminder method, characterized in that: the sedentary reminder method includes the following steps:

S10. Collect human heart beat data points;

S20. Generate a pulse waveform according to the collected heart beat data points;

S30. Calculate the blood flow velocity, blood vessel radius, velocity, peripheral resistance of the blood vessel, the amplitude of each heart beat, the gap between heartbeats, and the value of the maximum point, minimum point and descending isthmus point of the pulse waveform. Heartbeat interval, segment cut point, layer cut point, timing correspondence point;

S40. Normalize the calculated value to obtain steady state parameters;

S50: According to the corresponding relationship between the stable state parameter and the preset stable state level, match the stable state level;

S60. Determine whether the matched stable state level is within the range of the sedentary reminder, and if so, send a sedentary state reminder to the sedentary.
8. The sedentary reminding method of claim 1, wherein the sedentary reminding method further comprises the following steps:

S70. Determine whether the number of heartbeat data points in each collected heartbeat cycle is between 285 and 485; if yes, continue to determine whether the waveform of each heartbeat cycle in every 90S period belongs to the number of normal pulse waveforms 12 or more; if not, the heart beat data points in the 90S time period are invalid, and the heart beat data points in this time period are eliminated;

S80. After removing invalid heart beat data points, perform steps S20-S60 again.
The sedentary reminder method of claim 1, wherein the step S30 specifically includes:

Calculate the blood flow velocity and integrate a segment of the pulse waveform; calculate the numerical point velocity according to the sampling frequency, the velocity of the numerical point is inversely proportional to the blood flow velocity;

Calculating a blood vessel radius, the blood vessel radius being a proportional coefficient of the maximum value and the minimum value of the pulse waveform;

Calculating the rate, the rate being the rate of change of the velocity of the pulse point data on the pulse waveform, which is obtained by changing the slope after linear normalization according to multiple velocities;

Calculate the peripheral resistance, which is the ratio of the descending isthmus point and the extreme point of the pulse waveform;

Calculate the beat amplitude of each heart beat, where the beat amplitude of each heart beat is the maximum value of the pulse waveform;

Calculate the line gap, where the line gap is the line connecting the extreme points of every two beats;

Calculate the heartbeat interval, the heartbeat interval being the minimum interval of every two heart beats;

Calculating a segmented tangent point, where the segmented tangent point is a value of a segmentation point that divides a continuous pulse waveform into 8 segments;

Calculating a layered cut point, where the layered cut point is a value obtained by dividing each of the 8 segments into 7 small segments;

Calculate the time sequence corresponding point, the time sequence corresponding point is the time sequence of the stored standard value, which is used for comparison with the newly collected value.
The sedentary reminder method according to claim 1, characterized in that: the step S30 further includes calculating the plane tangent point, the difference threshold point, and the cardiac output; the specific calculation process is,

Calculate the plane tangent point, where the plane tangent point is a point where the pulse waveform can equally divide the area of both sides;

Calculate the difference threshold point, the difference threshold point being the maximum point and the minimum point of each heart beat.

To calculate the stroke volume, the calculation formula is: sv=(0.283/(k*k))(Ps-Pd)*T;

Among them, k=(Ps-Pm)/(Ps-Pd), T is the cardiac cycle, Ps is the maximum value, Pd is the minimum value, and Pm is the value of the descending isthmus point.
A sedentary reminder device, characterized in that: the sedentary reminder device includes:

Data collection module, used to collect human heart beat data points;

Pulse waveform generation module, used to generate pulse waveform according to the collected heart beat data points;

Parameter calculation module, used to calculate the blood flow velocity, blood vessel radius, velocity, peripheral resistance of blood vessels, and the amplitude of each heart beat according to the maximum point, minimum point and descending isthmus point of the pulse waveform , Heartbeat gap, heartbeat interval, segment cut point, layer cut point, timing correspondence point;

The normalization processing module is used to normalize the calculated values to obtain steady state parameters;

The stable state level matching module is used to match the stable state level according to the correspondence between the stable state parameters and the preset stable state level;

The sedentary state reminder module is used to determine whether the matched stable state level is within the range of the sedentary reminder, and if so, it sends a sedentary state reminder to the sedentary.
8. The sedentary reminder device of claim 5, wherein the sedentary reminder device further comprises:

The data screening module is used to determine whether the number of heart beat data points in each heartbeat cycle collected is between 285 and 485; if so, continue to determine that the waveform of each heartbeat cycle in every 90S time period belongs to normal pulse Whether the number of waveforms is greater than or equal to 12; if not, the heart beat data points in the 90S time period are invalid, and the heart beat data points in this time period are eliminated;

The jump execution module is used to remove invalid heart beat data points and transfer to the pulse waveform generation module.
The sedentary reminder device of claim 5, wherein the parameter calculation module is specifically used for:

Calculate the blood flow velocity and integrate a segment of the pulse waveform; calculate the numerical point velocity according to the sampling frequency, the velocity of the numerical point is inversely proportional to the blood flow velocity;

Calculating a blood vessel radius, the blood vessel radius being a proportional coefficient of the maximum value and the minimum value of the pulse waveform;

Calculating the rate, which is the rate of change of the velocity of the pulse point data on the pulse waveform, which is obtained through the change of the slope after linear normalization according to multiple velocities;

Calculate the peripheral resistance, which is the ratio of the descending isthmus point and the extreme point of the pulse waveform;

Calculate the beat amplitude of each heart beat, where the beat amplitude of each heart beat is the maximum value of the pulse waveform;

Calculate the line gap, where the line gap is the line connecting the extreme points of every two beats;

Calculate the heartbeat interval, the heartbeat interval being the minimum interval of every two heart beats;

Calculating a segmented tangent point, where the segmented tangent point is a value of a segmentation point that divides a continuous pulse waveform into 8 segments;

Calculating a layered cut point, where the layered cut point is a value obtained by dividing each of the 8 segments into 7 small segments;

Calculate the time sequence corresponding point, the time sequence corresponding point is the time sequence of the stored standard value, which is used for comparison with the newly collected value.
The sedentary reminder device according to claim 5, wherein the parameter calculation module is also used to calculate the plane tangent point, the difference threshold point, and the cardiac output; the specific calculation process is,

Calculate the plane tangent point, where the plane tangent point is a point where the pulse waveform can equally divide the area of both sides;

Calculate the difference threshold point, the difference threshold point being the maximum point and the minimum point of each heart beat.

To calculate the stroke volume, the calculation formula is: sv=(0.283/(k*k))(Ps-Pd)*T;

Among them, k=(Ps-Pm)/(Ps-Pd), T is the cardiac cycle, Ps is the maximum value, Pd is the minimum value, and Pm is the value of the descending isthmus point.