Heart rate detection earphone, system and method for monitoring human health

Abstract

The present invention discloses a heart rate detection headset, a system and a method for monitoring human health. The method can acquire and monitor the user's heart rate data and pulse data, obtain the changing pattern of the user's heart rate, discover abnormal heart rate changes and issue prompt information in time, reminding the user to make adjustments in time to avoid further harm to the body. In addition, the present invention can monitor the user's heart rate recovery time after exercise. When the user's heart rate recovery time is significantly prolonged, an alarm is issued in time to help the user adjust the amount of exercise according to the physical condition, avoid sports fatigue caused by excessive exercise, and assist the user to make reasonable exercise arrangements.

Description

Technical Field

[0001] The present invention belongs to the field of electronic technology, and specifically relates to a heart rate detection headset, a system and a method for monitoring human health. Background Art

[0002] With the development of the economy, people are paying more and more attention to their physical health. Many sports bracelets and sports headphones in the existing technology can collect and display some physical parameters of the human body, thereby assisting users to monitor and adjust their physical condition.

[0003] Sports bracelets, sports headphones and other products in the prior art can only display the user's real-time parameter data when monitoring human health. Since these parameters will change significantly with the change of exercise intensity, if the user's exercise state needs to be accurately distinguished, the user needs to make manual adjustments, which is obviously not smart and convenient enough. In addition, in order to monitor human health, the existing sports bracelets and sports headphones need to collect multiple body parameters to make accurate judgments, but this significantly increases the cost. In order to solve the above problems, the present invention provides the following technical solutions. Summary of the invention

[0004] The purpose of the present invention is to provide a heart rate detection headset, a system and method for monitoring human health, so as to solve the problem that sports headsets in the prior art cannot automatically distinguish the exercise status when monitoring human health, and that a large number of sensors are required for data collection when monitoring the user's physical health, thereby increasing the cost.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] Systems that monitor human health, including:

[0007] A heart rate detection module is used to monitor and detect the user's heart rate data and transmit the detected heart rate data to the controller;

[0008] The pulse detection module is used to monitor and detect the pulse data of the user and transmit the detected pulse data to the controller;

[0009] The system working method for monitoring human health comprises the following steps:

[0010] Step 1: Detect the user's heart rate data through the heart rate detection module, and process the heart rate data through the controller to obtain the user's heart rate values ​​in different states;

[0011] The specific methods include the following:

[0012] S1. Acquire a number of heart rate collection time periods with a time length of t1 in one day, and collect heart rate data in each heart rate collection time period;

[0013] S2. Within a heart rate collection period, the collected heart rate data are marked as X1, X2, ..., Xn in sequence. According to the formula Calculate and obtain a dispersion value Sx of a group of heart rate data collected in the corresponding heart rate collection time period. When Sx≥Sy, no further processing is performed. When Sx<Sy, mark the corresponding heart rate collection time period as a balanced exercise segment, and obtain the average value Xp of the heart rate data collected in the balanced exercise segment, where 1≤i≤n, and Sy is a preset value;

[0014] S3, in m consecutive cycles, obtaining the Xp values ​​corresponding to all the equilibrium motion segments in these m cycles;

[0015] S4, processing the Xp value data obtained in S2 and S3 by using the graded fuzzy set method, dividing the Xp values ​​into several grades, calculating the average value of the Xp value data in each grade, and thus obtaining the heart rate average value L of the user at different exercise intensities;

[0016] Step 2: According to the method of step 1, the average heart rate of the corresponding user at different exercise intensities is updated at preset time intervals t2. When the user's heart rate fluctuation value change rate reaches β at the same exercise intensity, a prompt message is issued through the alarm module.

[0017] As a further solution of the present invention, the heart rate fluctuation value change rate is |L1-L2| / L2, L1 is the average heart rate in the corresponding exercise state after updating, and L2 is the average heart rate in the corresponding exercise state before updating.

[0018] As a further solution of the present invention, the working method of the system further comprises the following steps:

[0019] S31, when the user's heart rate is always not less than the preset value Xy1 within the preset time t3, start tracking monitoring and record the duration of the nearest heart rate recovery time period in the future;

[0020] The heart rate recovery time period refers to recording the heart rate corresponding to the start time point as Xy2, and recording the heart rate corresponding to the end time point as Xy3, wherein Xy2>Xy3, and in the process of the heart rate data decreasing from Xy2 to Xy3, the following conditions are met:

[0021] The next heart rate data does not exceed the preset value y1 of the previous heart rate data;

[0022] During the entire heart rate recovery period, the ratio of the number of times that the subsequent heart rate data is greater than the previous heart rate data to the number of times the heart rate data is collected during the heart rate recovery period is less than a preset value ratio α; wherein Xy2 and Xy3 are both preset values;

[0023] S32, continuously obtain the duration of k heart rate recovery time periods, mark them as T1, T2, ..., Tk in sequence, and use the formula The dispersion value of this set of data is calculated. When S≤r1, (T1+T2+, ..., +Tk) / k is used as the average recovery time; if S>r1, the corresponding Tj values ​​are deleted in the order of |Tj-Tp| from large to small until S≤r1 is established, and the average value of all Tj values ​​that have not been deleted is calculated as the average recovery time; r1 is a preset value;

[0024] S33: When the duration of the heart rate recovery time period collected twice in succession is greater than the average recovery time by a preset value Ty, a prompt message is issued through the alarm module.

[0025] As a further solution of the present invention, the working method of the system further comprises the following steps: obtaining the real-time pulse data of the user through the pulse detection module and transmitting it to the controller, and the controller compares the pulse data with the heart rate data;

[0026] When there is no deviation between the heart rate data and the pulse data, it is considered that there is no problem;

[0027] When the deviation between the heart rate data and the pulse data is greater than the preset value Y1, it is considered that there is a problem with the user's health, and a prompt message is issued through the alarm module;

[0028] When the deviation between the heart rate data and the pulse data is greater than the preset value Y2 and less than or equal to the preset value Y1 within a continuous preset time T, it is considered that there is a problem with the user's health, and a prompt message is issued through the alarm module.

[0029] As a further solution of the present invention, the system also includes an identity recognition module, which is used to recognize the identity of the user. After recognition by the identity recognition module, the heart rate information and pulse information of different users are stored and processed separately.

[0030] The invention also discloses a heart rate detection earphone, which comprises the above-mentioned system for monitoring human health.

[0031] Beneficial effects of the present invention:

[0032] (1) The present invention can collect and monitor the user's heart rate data and pulse data to obtain the changing pattern of the user's heart rate, detect abnormal heart rate changes and issue prompt information in time to remind the user to make adjustments in time to avoid further harm to the body;

[0033] (2) The present invention intermittently collects the heart rate data of the user in a time period, and calculates the dispersion value of this group of heart rate data, thereby screening out those heart rate collection time periods that contain two motion states at the same time, and obtains the heart rate data of the user in different motion states by processing the heart rate average value of a large number of heart rate collection time periods that contain a single motion state;

[0034] (3) The present invention can collect the heart rate data of the user over a period of time. When the average heart rate of the user over a period of time shows a significant increase, prompt information is promptly issued to remind the user of the abnormal heart rate, so that the user can make timely adjustments to life habits, exercise habits, etc., to avoid the occurrence of sports fatigue and other situations without knowing it, thereby causing irreparable damage to the body. The advantage is that the heart rates under different exercise states can be automatically distinguished, ensuring the accuracy of heart rate comparison;

[0035] (4) The present invention can monitor the user's heart rate recovery time after exercise. When the user's heart rate recovery time is significantly prolonged, an alarm is issued in a timely manner to help the user adjust the amount of exercise according to the user's physical condition, avoid sports fatigue caused by excessive exercise, and assist the user in making reasonable exercise arrangements. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] Figure 1 It is a schematic diagram of the framework structure of a system for monitoring human health of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] A system for monitoring human health, such as Figure 1 As shown, including:

[0040] A heart rate detection module is used to monitor and detect the user's heart rate data and transmit the detected heart rate data to the controller;

[0041] The pulse detection module is used to monitor and detect the pulse data of the user and transmit the detected pulse data to the controller;

[0042] An alarm module is used to send out prompt information, and the types of prompt information include sound, light, vibration and their combination;

[0043] The present invention also discloses a method for monitoring human health, which is based on the above-mentioned system for monitoring human health and comprises the following steps:

[0044] Step 1: Detect the user's heart rate data through the heart rate detection module, and process the heart rate data through the controller to obtain the user's heart rate values ​​in different states;

[0045] The specific methods include the following:

[0046] S1. Acquire a number of heart rate collection time periods with a time length of t1 in one day, and collect heart rate data in each heart rate collection time period;

[0047] S2. Within a heart rate collection period, the collected heart rate data are marked as X1, X2, ..., Xn in sequence. According to the formula Calculate and obtain a dispersion value Sx of a group of heart rate data collected in the corresponding heart rate collection time period. When Sx≥Sy, no further processing is performed. When Sx<Sy, mark the corresponding heart rate collection time period as a balanced exercise segment, and obtain the average value Xp of the heart rate data collected in the balanced exercise segment, where 1≤i≤n, and Sy is a preset value;

[0048] S3, in m consecutive cycles, obtaining the Xp values ​​corresponding to all the equilibrium motion segments in these m cycles;

[0049] S4, processing the Xp value data obtained in S2 and S3 by using the graded fuzzy set method, dividing the Xp values ​​into several grades, calculating the average value of the Xp value data in each grade, and thus obtaining the heart rate average value L of the user at different exercise intensities;

[0050] In one embodiment of the present invention, a plurality of Xp values ​​are divided into five levels, from level 1 to level 5, which respectively represent the user in a sleeping state, a wakeful and quiet state, a low-intensity exercise state, a medium-intensity exercise state, and a high-intensity exercise state;

[0051] In this step, the heart rate data of the user in a time period is first intermittently collected, and the dispersion value of this group of heart rate data is calculated to screen out those heart rate collection time periods that contain two exercise states at the same time, and the heart rate data of the user in different exercise states is obtained by processing the heart rate average value of a large number of heart rate collection time periods that contain a single exercise state;

[0052] Step 2: According to the method of step 1, the heart rate average value of the corresponding user at different exercise intensities is updated at preset time intervals t2. When the change rate of the user's heart rate fluctuation value reaches β at the same exercise intensity, a prompt message is issued through the alarm module;

[0053] The heart rate fluctuation value change rate is |L1-L2| / L2, where L1 is the average heart rate in the corresponding exercise state after the update, and L2 is the average heart rate in the corresponding exercise state before the update;

[0054] The present invention can collect the heart rate data of the user within a period of time, and when the average heart rate of the user within a period of time increases significantly, prompt information is promptly issued to remind the user of the abnormal heart rate, so that the user can make timely adjustments to the living habits, exercise habits, etc., to avoid the occurrence of sports fatigue and other situations without knowing it, thereby causing irreparable damage to the body. The advantage of the present invention is that the heart rates under different exercise states can be automatically distinguished, thereby ensuring the accuracy of heart rate comparison;

[0055] Step 3: Obtain the user's heart rate recovery time, and determine the user's health status based on the user's heart rate recovery time;

[0056] The specific steps are as follows:

[0057] S31, when the user's heart rate is always not less than the preset value Xy1 within the preset time t3, start tracking monitoring and record the duration of the nearest heart rate recovery time period in the future;

[0058] The heart rate recovery time period refers to recording the heart rate corresponding to the start time point as Xy2, and recording the heart rate corresponding to the end time point as Xy3, wherein Xy2>Xy3, and in the process of the heart rate data decreasing from Xy2 to Xy3, the following conditions are met:

[0059] The next heart rate data does not exceed the preset value y1 of the previous heart rate data;

[0060] During the entire heart rate recovery period, the ratio of the number of times that the subsequent heart rate data is greater than the previous heart rate data to the number of times the heart rate data is collected during the heart rate recovery period is less than a preset value ratio α. In one embodiment of the present invention, α is 5%;

[0061] Wherein Xy2 and Xy3 are both preset values. In one embodiment of the present invention, Xy3 is 85 and Xy3 is 105;

[0062] S32, continuously obtain the duration of k heart rate recovery time periods, mark them as T1, T2, ..., Tk in sequence, and use the formula The dispersion value of this set of data is calculated. When S≤r1, (T1+T2+, ..., +Tk) / k is used as the average recovery time. If S>r1, the corresponding Tj values ​​are deleted in the order of |Tj-Tp| from large to small until S≤r1 is established. The average value of all Tj values ​​that have not been deleted is calculated as the average recovery time.

[0063] r1 is the preset value;

[0064] S33, when the duration of the heart rate recovery time period collected twice in succession is greater than the average recovery time by a preset value Ty, a prompt message is issued through the alarm module, indicating that the user may have sports fatigue and needs to reduce the amount of activity in time;

[0065] In this step, the user's heart rate recovery time after exercise can be monitored. When the user's heart rate recovery time is significantly prolonged, an alarm prompt is given in time to help the user adjust the amount of exercise according to the physical condition, avoid sports fatigue caused by excessive exercise, and assist the user in making reasonable exercise arrangements;

[0066] Step 4, obtaining the user's real-time pulse data through the pulse detection module and transmitting it to the controller, and the controller compares the pulse data with the heart rate data;

[0067] When comparing, the heart rate data and pulse data collected at the same time point are compared;

[0068] When there is no deviation between the heart rate data and the pulse data, it is considered that there is no problem;

[0069] When the deviation between the heart rate data and the pulse data is greater than the preset value Y1, it is considered that there is a problem with the user's health, and a prompt message is issued through the alarm module;

[0070] When the deviation between the heart rate data and the pulse data is greater than the preset value Y2 and less than or equal to the preset value Y1 within a continuous preset time T, it is considered that there is a problem with the user's health, and a prompt message is issued through the alarm module;

[0071] The human health monitoring system of the present invention further comprises an identity recognition module, which is used to recognize the identity of the user. After recognition by the identity recognition module, the heart rate information and pulse information of different users are stored and processed separately;

[0072] In one embodiment of the present invention, the identity recognition module is fingerprint recognition;

[0073] The invention also discloses a heart rate detection earphone, which comprises the above-mentioned system for monitoring human health.

[0074] The present invention can collect and monitor the user's heart rate data and pulse data, obtain the changing pattern of the user's heart rate, detect abnormal heart rate changes and issue prompt information in time, reminding the user to make timely adjustments to avoid further harm to the body.

[0075] In the description of the specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0076] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

Claims

1. A system for monitoring human health, characterized in that: include: A heart rate detection module is used to detect the user's heart rate data and transmit the detected heart rate data to the controller; A pulse detection module, used to detect the pulse data of the user and transmit the detected pulse data to the controller; The system working method for monitoring human health comprises the following steps: Step 1: Detect the user's heart rate data through the heart rate detection module, and process the heart rate data through the controller to obtain the user's heart rate values ​​in different states; The specific methods include the following: S1. Acquire a number of heart rate collection time periods with a time length of t1 in one day, and collect heart rate data in each heart rate collection time period; S2. Within a heart rate collection period, the collected heart rate data are marked as X1, X2, ..., Xn in sequence. According to the formula Calculate and obtain a dispersion value Sx of a group of heart rate data collected in the corresponding heart rate collection time period. When Sx≥Sy, no further processing is performed. When Sx<Sy, mark the corresponding heart rate collection time period as a balanced exercise segment, and obtain the average value Xp of the heart rate data collected in the balanced exercise segment, where 1≤i≤n, and Sy is a preset value; S3, in m consecutive cycles, obtaining the Xp values ​​corresponding to all the equilibrium motion segments in these m cycles; S4, processing the Xp value data obtained in S2 and S3 by using the graded fuzzy set method, dividing the Xp values ​​into several grades, calculating the average value of the Xp value data in each grade, and thus obtaining the heart rate average value L of the user at different exercise intensities; Step 2: According to the method of step 1, the average heart rate of the corresponding user at different exercise intensities is updated at preset time intervals t2. When the user's heart rate fluctuation value change rate reaches β at the same exercise intensity, a prompt message is issued through the alarm module.

2. The system for monitoring human health according to claim 1, characterized in that: The heart rate fluctuation value change rate is |L1-L2| / L2, L1 is the average heart rate in the corresponding exercise state after updating, and L2 is the average heart rate in the corresponding exercise state before updating.

3. The system for monitoring human health according to claim 2, characterized in that: The method also includes the following steps: obtaining the user's real-time pulse data through the pulse detection module and transmitting it to the controller, and the controller comparing the pulse data with the heart rate data; When there is no deviation between the heart rate data and the pulse data, it is considered that there is no problem; When the deviation between the heart rate data and the pulse data is greater than the preset value Y1, it is considered that there is a problem with the user's health, and a prompt message is issued through the alarm module; When the deviation between the heart rate data and the pulse data is greater than the preset value Y2 and less than or equal to the preset value Y1 within a continuous preset time T, it is considered that there is a problem with the user's health, and a prompt message is issued through the alarm module.

4. The system for monitoring human health according to claim 3, characterized in that: The system also includes an identity recognition module, which is used to recognize the identity of the user. After recognition by the identity recognition module, the heart rate information and pulse information of different users are stored and processed separately.

5. A heart rate detection headset, characterized in that: A system for monitoring human health comprising the system described in any one of claims 1 to 4.

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