CN115813354A - A method, system and device for intelligent health monitoring - Google Patents

Abstract

The invention provides an intelligent health monitoring method, system and device. The intelligent health monitoring method is suitable for timely rescue in group activities, and comprises the following steps: a. processing the acquired vital sign state data of the application user side by using a first algorithm, and comparing the vital sign state data with a threshold value preset by the user side; b. sending out an early warning signal when the acquired data information exceeds a first threshold value; and c, when the acquired data information exceeds a second threshold value, sending out distress call information by using a lora self-organizing network in a broadcasting or multicasting mode. This intelligent health monitoring side, system and device can inform the teammate under the condition that the user's proruption health problem is too late to save oneself, and the member of being convenient for nearby in time comes to salvage after receiving the distress signal.

Description

An intelligent health monitoring method, system and device

technical field

The invention relates to the field of health monitoring, in particular to an intelligent health monitoring method, system and device.

Background technique

During outdoor activities, people may encounter health problems or sudden emergency rescue caused by extreme weather, such as the death of people in the Gansu Marathon in 2021, and the heat stroke in various parts of the country in 2022. For the intelligent monitoring of outdoor personnel, the method of server + terminal is generally adopted. The terminal is responsible for collecting user health data, and then wirelessly transmits it to the server for further processing. Finally, professionals monitor and take countermeasures on the server side. However, during group outdoor activities or training, once an abnormality occurs, it is often difficult to control yourself. If you wait until professionals from a distance come to the rescue, you may miss the rescue time. At the same time, for group activities, if there are many people, adopting the collection terminal + server mode will lead to a relatively large server structure. If there are fewer guardians on the server side, it may miss the discovery of rescue personnel. Therefore, the existing monitoring methods are not suitable for timely rescue.

Contents of the invention

The technical problem to be solved by the present invention is to provide an intelligent health monitoring method, system and device, which can provide nearby and timely rescue to personnel in need of emergency rescue during group outdoor activities.

In order to solve the technical problems existing in the prior art, this application proposes an intelligent health monitoring method, which is suitable for group training and outdoor activities under extreme weather. The intelligent health monitoring method includes: a. using the first algorithm to collect The vital sign status data of the application client is processed and compared with the preset threshold of the client; b. when the collected data information exceeds the first threshold, an early warning signal is issued; and c. when the collected data information exceeds the first threshold When the second threshold is reached, the lora ad hoc network is used to send a distress message through broadcast or multicast.

Further, the above-mentioned first threshold is to immediately send an early warning signal to the user when an abnormality is found, informing the user of the need to replenish water or other matters that need attention. If the user can improve himself through simple self-relief, step c will not be performed.

Optionally, the intelligent health monitoring method can also be implemented through the following steps: a. use the first algorithm to process the collected vital sign state data of the application client, and compare it with the preset threshold of the client; b. When the collected data information exceeds the preset threshold, the lora self-organizing network is used to send out a distress message through broadcast or multicast. Although there is no early warning in this way, it can still send a distress signal when rescue is needed.

Another aspect of the present application proposes an intelligent health monitoring system, including: a main control processing module, a sensor acquisition module, an on-screen display module, a prediction and early warning module, a Lora transmission module, a button processing module and a geographic location acquisition module.

The main control processing module is used to store the collected data information and send rescue instructions;

The sensor collection module is used to collect the vital sign information of the human body, which is connected to the main control processing module, and transmits the collected user vital sign data to the main control processing module;

The geographic location acquisition module collects the geographic location information of the user terminal based on GPS/Beidou, and transmits the geographic location information to the main control processing module;

The Lora transmission module is used to send/receive data between users;

The prediction and early warning module is connected to the main control processing module, compares and judges the collected user's vital signs data information with the stored personal physique information, and sends an alarm according to the judgment result and/or passes the main control processing module Send a rescue instruction to the Lora transmission module;

The screen display module is connected to the main control processing module, and the information displayed by the screen display information module includes the user's geographic location information, body temperature information, information about the person calling for help, and the location and distance information of the person calling for help;

The button processing module is connected with the main control processing module, and is used to obtain the behavior information of the user on the user end, and according to the behavior information, the main control processing module sends a stop warning instruction to the prediction and early warning module or sends a notification to the user. The Lora transmission module sends a rescue command, and the acquired behavior information of the user on the user end is established on at least one button on the user end.

Wherein, the main control processing module is bidirectionally interconnected with the sensor acquisition module, screen display module, prediction and early warning module, Lora transmission module, key processing module and geographic location acquisition module respectively. If the members are relatively close to each other during outdoor activities, such as within the visible range, the geographic location acquisition module can be set to an off state to further save power consumption.

Another aspect of the present application proposes an intelligent health monitoring device, which includes a memory for storing instructions executable by a processor; and a processor for executing the instructions to implement the above-mentioned method.

The beneficial effect that the present invention can reach:

The present invention uses an intelligent prediction algorithm to carry out early warning processing on the collected user's vital sign state data, which is convenient for timely detection of physical discomfort during outdoor activities, and transfers to Lora multicast/ The rescue signal is sent out by broadcasting, which is convenient for nearby personnel to find and rescue in time; in the case of misjudgment of the disease, the warning information can be eliminated through the abnormal processing button to avoid unnecessary rescue resources; when the user feels discomfort but the system fails to detect it , Self-rescue and mutual rescue can be carried out through the one-key call for help function, and the necessary help can be obtained in the shortest time.

Description of drawings

Below in conjunction with accompanying drawing, specific embodiment of the present invention is described in further detail;

FIG. 1 is a schematic diagram of an intelligent health monitoring system according to some embodiments of the present invention;

Fig. 2 is a basic flowchart of an intelligent health monitoring method according to some embodiments of the present invention;

Fig. 3 is a schematic diagram of the operation of the intelligent prediction algorithm of some embodiments of the present invention;

Fig. 4 is a schematic diagram of a help-call process in some embodiments of the present invention;

Fig. 5 is a schematic flowchart of an intelligent health monitoring method according to some embodiments of the present invention;

Detailed ways

In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

FIG. 1 is a schematic diagram of an intelligent health monitoring system 10 of some embodiments of the present invention. Referring to FIG. 1, the intelligent health monitoring system 10 may include a main control processing module 11, a sensor acquisition module 12, an on-screen display module 13, a prediction and early warning module 14, a Lora transmission module 15, a button processing module 16 and a geographic location acquisition module 17. The main control processing module 11, the sensor acquisition module 12, the screen display module 13, the prediction and early warning module 14, the Lora transmission module 15, the button processing module 16 and the geographic location acquisition module 17 are bidirectionally interconnected.

If the active members are relatively close to each other, within the visible range, the geographic location acquisition module can be set to be off, so as to further save power consumption.

The sensor collection module 12 is responsible for collecting data from heart rate sensors, body temperature sensors, etc., and transmitting the collected data to the main control processing module 11 .

The geographic location collection module 17 collects geographic location information of the user based on Beidou/GPS, and transmits the information to the main control processing module 11.

The Lora transmission module 15 is responsible for transmitting geographic location information and real-time emergency information between users. Among them, the geographic location information is transmitted in a regular manner, and the distress information is transmitted in a burst mode so as to respond to the distress information in real time.

The screen display module 13 is responsible for displaying geographic location information, human body temperature information, emergency caller information, location and distance information of emergency callers, and the like.

The prediction and early warning module 14 uses intelligent prediction algorithms to make decisions based on the collected sensor information and personal physique, and sends out early warning information through vibration or screen display. Or forward it to other users in multicast mode to request rescue.

Further, the button processing module 16 includes an abnormality processing button and a one-key call for help button. When the warning message appears, if it is considered to be a misjudgment, the warning message can be eliminated by pressing the button. If you find that you are unwell, but the prediction and early warning module 14 does not detect it, you can directly call for help through the one-key call for help button.

Further, the button processing module 16 can be realized by physical buttons, or by virtual buttons on the touch screen.

Referring to Figure 2, when the smart health monitoring system is working, it first completes the initialization settings. Then, the sensor module 12 automatically enters the collection mode, and the main control processing module 11 calls the prediction and early warning module 14 to monitor the user's physical state after receiving the sensor data. The prediction and early warning module 14 takes the intelligent prediction algorithm as the core to make predictions. If an abnormality is found and the pre-warning condition is met, the pre-warning prompt will be activated.

With reference to Fig. 3, described intelligent prediction algorithm is carried out by following measure:

1) Before using the device, the user selects personal age N, physical condition S, usual body temperature Tp and user's usual heart rate Hr. The physical status is divided into healthy (S=1.2), good (S=1) and general (S=0.8), and the user’s health status is good by default. The user can enter the usual heart rate by himself or collect the heart rate through the wristband worn. The normal heart rate range is 60-100 beats per minute. If the user can't remember their body temperature, the user's usual body temperature defaults to 37 degrees, and the user can also measure the body temperature by wearing a wristband.

2) Use the following formula for heart rate monitoring:

Hx＝((220-N)*A+Hr*(1-A))*S

Here A is the balance factor, and the default is A=0.8; Hx is the warning heart rate value. A and S can be adjusted according to your own health status. When the user's real-time heart rate Hs exceeds Hx during outdoor activities, an early warning is prompted.

3) While monitoring the heart rate, the user's body temperature is also monitored. If the measured body temperature Tt is 2 degrees higher than the usual body temperature Tp, and the real-time heart rate Hs>0.9*Hx, the early warning will start; if the measured body temperature Tt>40 degrees, the early warning will start.

Referring to FIG. 4 , the distress signal includes the information of the distress caller and the geographic location information. Nearby rescuers can calculate the distance and direction through the shared Beidou/GPS geographic location information, and can further clarify the direction through the change in distance between each other when moving.

Fig. 5 is a basic flowchart of an intelligent health monitoring method provided by the present invention. The smart health monitoring method 100 can be used for health monitoring of group activity personnel. Accordingly, the smart health monitoring method 100 can be implemented in the smart health monitoring system 10 . Referring to Figure 5, the intelligent health monitoring method may include:

Step 110, using the first algorithm to process the collected vital sign state data of the application client, and compare it with the preset threshold of the client;

Step 120, sending out an early warning signal when the collected data information exceeds the first threshold;

Step 130, when the collected data information exceeds the second threshold, use the lora ad hoc network to broadcast and/or multicast the emergency call information.

Wherein, step 130 also includes judging whether the user executes the abnormal processing button information, if the abnormal processing button information is received, the warning message is closed and step c is terminated, and if the abnormal processing button information is not received, step c is executed.

Wherein, in step 110, the collected vital sign state data of the application client is also stored in the database.

It can be understood that for possible false alarms in the system, after the user cancels the abnormal warning signal through the abnormal handling button, the user may still feel unwell. Therefore, step 120 and step 130 need to be executed repeatedly at intervals.

In some embodiments, a server may also be included, and the server receives the call for help information from the user and notifies relevant members nearby the user.

In some embodiments, the user end provides a one-key call for help function. For the situation that the system fails to detect the discomfort of the user, the lora ad hoc network is used to send a call for help to the surrounding people through broadcast or multicast.

In some embodiments, the intelligent health monitoring system further includes an on-screen display module, which is connected to the main control processing module, and the information displayed by the on-screen display information module includes the user's geographic location information, body temperature information, information on calling for help, Emergency caller bearing and distance information.

In some embodiments, the main control processing module further includes calculating mutual distances and azimuths between team members, and displaying the information in real time through the screen display module.

The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (9)

1. An intelligent health monitoring method is suitable for health monitoring of group activity personnel, and is characterized by comprising the following steps:

a. processing the acquired vital sign state data of the application user side by using a first algorithm, and comparing the vital sign state data with a threshold value preset by the user side;

b. sending out an early warning signal when the acquired data information exceeds a first threshold value; and

c. and when the acquired data information exceeds a second threshold value, sending out distress call information by using a lora self-organizing network in a broadcasting or multicasting mode.

2. The intelligent health monitoring method according to claim 1, wherein in step a, the collected vital signs state data of the application user side is further saved in a database; before step c, judging whether the user executes the abnormal processing key information, if receiving the abnormal processing key information, closing the early warning information and stopping step c, and if not, executing step c.

3. The intelligent health monitoring method of claim 2, further comprising:

and repeating the step b and the step c every interval.

4. The intelligent health monitoring method of claim 1, further comprising:

based on the one-key distress call of the application user side, the lora self-organizing network is used for sending distress call information in a broadcasting or multicasting mode.

5. An intelligent health monitoring system is characterized in that,

the method comprises the following steps:

the main control processing module is used for storing the acquired data information and sending a rescue instruction;

the sensor acquisition module is connected with the main control processing module and transmits the acquired user vital sign data to the main control processing module;

the geographical position acquisition module is used for acquiring geographical position information of the user side and transmitting the geographical position information to the main control processing module;

the system comprises a Lora transmission module, a data processing module and a data processing module, wherein the Lora transmission module is used for transmitting/receiving data among users, and the data information comprises geographical position information and/or real-time rescue information;

and the prediction early warning module is connected with the main control processing module, compares and judges the acquired vital sign data information of the user with the stored personal physique information, and sends out an alarm according to a judgment result and/or sends a rescue instruction to the Lora transmission module through the main control processing module.

6. The intelligent health monitoring system of claim 5, further comprising:

and the key processing module is connected with the main control processing module and used for acquiring the behavior information of the user on the user side, sending a stopping early warning instruction to the prediction early warning module or sending a rescue instruction to the Lora transmission module through the main control processing module according to the behavior information, and the acquired behavior information of the user on the user side is established on at least one key on the user side.

7. The intelligent health monitoring system of claim 5, further comprising:

and the screen display module is connected with the main control processing module, and the information displayed by the screen display module comprises the geographical position information, the human body temperature information, the information of the help-calling personnel, the position and the distance information of the help-calling personnel of the user.

8. The intelligent health monitoring system of claim 7, wherein the master control processing module further calculates the mutual distance and azimuth between team personnel and displays the information in real time via the on-screen display module.

9. An intelligent health monitoring device comprising:

a memory for storing instructions executable by the processor;

a processor for executing the instructions to implement the method of any one of claims 1-4.

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