KR101978836B1 - Method for monitoring biological data using wearable sensing device and computer program for the same - Google Patents

Abstract

The present invention relates to a method for monitoring bio-signal data using a wearable sensing device and a computer program therefor. According to an embodiment of the present invention, the method for monitoring bio-signal data using a wearable sensing device simultaneously monitors bio-signal data of a plurality of users who are participating in group activities or training in the same space range by using a wearable device and considers both the bio-signal data and an environment change state of other users to determine whether a specific user is abnormal when a change of exceeding a predetermined threshold occurs in the bio-signal data of the specific user.

Description

TECHNICAL FIELD [0001] The present invention relates to a method and a computer program for monitoring biological signal data using a wearable sensing device,

The present invention relates to a biological signal data monitoring method and a computer program using a wearable sensing device and simultaneously monitors biological signal data of a plurality of users participating in group activity or training within the same spatial range using a wearable device, The biometric signal data monitoring method using a wearable sensing device configured to determine whether a specific user has occurred or not by taking into consideration both the biometric signal data of the other user and the environment change state when a change exceeding a preset threshold value occurs in the biometric signal data of the user And a computer program.

Techniques have been proposed in which a user's health state is monitored by a server at a remote site by acquiring bio-signal data of a user using a wearable device.

Korean Patent Laid-Open Publication No. 10-2015-0103568 (published on Sep. 11, 2015) is directed to a wearable sensing device and a method for monitoring bio-signal data / emergency situation using the wearable sensing device, And transmits the biometric signal and the positional information by the wearable sensing device, thereby monitoring the biometric signal data in the management server and easily detecting the wearer of the wearable sensing device in case of emergency.

Another example of the prior art is disclosed in Korean Patent Laid-Open Publication No. 10-2013-0082878 (published on July 22, 2013), which relates to a living body signal transmitting apparatus, a living body signal monitoring system using the same and a method thereof, And a technique for providing the information with the location information.

Another example of the prior art is Korean Patent Registration No. 10-1339539 (registered on Dec. 03, 2013), which relates to a method for remotely monitoring biosignal data, wherein the sensor senses biosignal data from a human body, Unit transmits the bio-signal data, and the control unit transmits the bio-signal data to the communicator, and the communicator compares the bio-signal data with the triggering value, and the communicator determines that the bio-value exceeds the triggering value The biometric signal data is transmitted only when the biometric data is transmitted.

However, the above-mentioned prior arts have limitations in monitoring biosignal data for a user who engages in harsh physical activities such as mountain climbing or marching. For example, in the case of outdoor physical activity such as mountain climbing or marching, the heart rate may rise sharply or the body temperature may rise sharply. Since the conventional techniques monitor bio-signal data based on daily activities, There was a limit in determining whether a heart rate or body temperature rise was a temporary condition due to intense physical activity or a health condition during daily activities.

Korean Patent Publication No. 10-2015-0103568 (published on September 11, 2015) Korean Patent Publication No. 10-2013-0082878 (published on July 22, 2013) Korean Registered Patent No. 10-1339539 (Registered on December 03, 2013)

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to provide a method and apparatus for simultaneously monitoring bio-signal data of a plurality of users participating in group activity or training within the same spatial range using a wearable device, And a wearer sensing device configured to determine whether or not an abnormality has occurred in a specific user by taking into account the biometric signal data of the other user and the environment change state when a change exceeding the set threshold value is generated, .

According to an aspect of the present invention, there is provided a bio-signal analyzing system including a bio-signal measuring module, a position measuring module, and a wireless communication module, The data monitoring method includes: 1) receiving biometric signal data, position data and unique identification information from two or more wearable sensing devices worn by two or more users, respectively, based on a predetermined period; 2) determining whether or not the received biometric signal data of each user exceeds a predetermined threshold value for each user, wherein the threshold value is determined based on biometric signal data of normal state measured in advance for each user A reference value for determining whether each user's biological signal is in an abnormal state; 3) When the biometric signal data of one of the users exceeds the threshold value, the user is set as the monitoring target and the other user within the predetermined radius range is set as the comparison target group based on the position of the user ; 4) determining whether bio-signal data of each of the other users included in the comparison target group exceeds a predetermined sub-threshold value for each user, the sub-threshold value being set in advance for each user Calculated by applying a sub-threshold setting ratio; And 5) determining that the user set as the monitoring target is a bio-signal abnormality occurrence state when the number of other users exceeding the sub-threshold does not exceed a preset ratio in comparison with the total number of users in the comparison target group A biosignal data monitoring method using a wearable device configured to include:

According to another aspect of the present invention, there is provided a computer program stored in a medium for executing a method for monitoring a living body signal data in combination with hardware, the living body signal data monitoring method comprising: a living body signal measuring module, A method for monitoring biological signal data executed on a monitoring server interlocked with a wearable sensing device provided with unique identification information through a wireless network, the method comprising the steps of: receiving biometric signal data and position data from two or more wearable sensing devices Receiving unique identification information based on a predetermined cycle, respectively; Determining whether the received biometric signal data of each user exceeds a preset threshold value for each user, the threshold value being set based on biometric signal data of normal state measured in advance for each user A reference value for determining whether each user's biological signal is in an abnormal state; Setting a user as a monitoring target when the biometric signal data of one of the users exceeds the threshold and setting another user within a predetermined radius range based on the position of the user as a comparison target group; Determining whether bio-signal data of each of the other users included in the comparison target group exceeds a predetermined sub-threshold value for each user, the sub-threshold value being a sub-threshold value preset for each user's threshold Calculated by applying a set ratio; And determining that the user set as the monitoring target is a bio-signal abnormality occurrence state when the number of other users exceeding the predetermined threshold does not exceed a preset ratio in comparison with the total number of users in the comparison target group A computer program is disclosed that is configured to include:

According to the present invention, when a change exceeding a preset threshold value occurs in the biometric signal data of a specific user among a plurality of users participating in group activity or training within the same spatial range, the biometric signal data of the other user and the environment change state It is possible to accurately determine whether the abnormal state of the user's biomedical signal data is a temporary state according to intense physical activity or a state in which the state of health during daily activities is in a dangerous state There are advantages.

1 is an overall system configuration diagram illustrating a method of monitoring a living body signal data according to an embodiment of the present invention,
2 is a configuration diagram of a monitoring server according to an embodiment of the present invention;
FIG. 3 is a configuration diagram of a wearable sensing device according to an embodiment of the present invention,
FIG. 4 is a schematic view of a hardware view of a monitoring server according to an embodiment of the present invention;
5 is a flowchart of a method of monitoring bio-signal data according to an embodiment of the present invention,
6 is a schematic diagram of a training situation for explaining a method of monitoring bio-signal data according to an embodiment of the present invention.

The present invention may be embodied in many other forms without departing from its spirit or essential characteristics. Accordingly, the embodiments of the present invention are to be considered in all respects as merely illustrative and not restrictive.

The terms first, second, etc. are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.

When an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may be present in between.

The singular expressions used in the present application include plural expressions unless the context clearly dictates otherwise. In the present application, the terms " comprises ", " comprising ", " having ", and the like, are used to denote that there is an element described in the specification or a combination thereof, It is not excluded in advance.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 2 is a block diagram of a monitoring server according to an embodiment of the present invention. FIG. 3 is a block diagram of a monitoring system according to an embodiment of the present invention. FIG. 4 is a schematic view of a hardware of a monitoring server according to an embodiment of the present invention.

The monitoring server 1000 of the present embodiment is connected to a plurality of wearable sensing devices 2000 through a wireless network 10 and monitors the user's biometric signal data of each wearable sensing device 2000 by wireless transmission. The wireless network 10 may be any of a variety of known wireless communication networks including mobile communication networks such as LTE and 5G.

The monitoring server 1000 of the present embodiment includes a biometric signal data processing module 102 for receiving and processing biometric signal data of a user from a wearable sensing device, a user for registration and management of a wearable sensing device, / Device management module 104 calculates the threshold / sub threshold / rate of change for each user, sets a monitoring target user and a comparison target group, and sets the monitoring target user , An abnormal state determination module 106 for determining whether or not the mobile terminal 10 is a mobile terminal, receiving and processing additional data such as location data and unique identification information of each terminal, inclination slope, moving speed and moving acceleration, moving state value, An additional data processing module 108, and an operation module 110 for general system environment operation.

In addition, the monitoring server 1000 of the present embodiment includes a biometric signal data DB 120 for managing biometric signal data of a user, a user DB 130 for managing user related information, an abnormal state A recording management DB 140, and an additional data DB 140 for recording and managing additional data.

The wearable sensing apparatus 2000 of the present embodiment is a mechanism for measuring various kinds of additional data including a living body signal by worn on the user's body and transmitting the measurement data to the monitoring server 1000. Each wearable sensing device 2000 is given unique identification information (e.g., a device specific number and a telephone number), and is interlocked with the monitoring server 1000 through a wireless network.

The wearable sensing device 2000 of the present embodiment includes a bio-signal measurement module 202 for measuring bio-signals including electrocardiogram and body temperature to generate data, a bio-signal measurement module 202 having a GPS function, A wireless communication module 204 for performing voice / image / data communication processing with the monitoring server 1000 and / or other wearable sensing device 2000 through the wireless network 10, A temperature sensor 206 for measuring the temperature of the user, a humidity sensor 207 for measuring the humidity of the environment where the user is located, a three-axis acceleration sensor for measuring the user's body slope and an acceleration during movement of the user, A camera 213 for taking a video image so that a user can make a video call, and a control module 201 for providing input / output and process control functions of the entire device. The wireless communication module 204 may embed the video communication module 205.

The three-axis acceleration sensor 211 is a sensor for measuring the acceleration of three axes X-Y-Z. The three-axis acceleration sensor 211 may calculate a speed, a movement position, and the like through integration of acceleration. The three-axis acceleration sensor 211 can be used to calculate the moving acceleration, the moving speed, and the like of the wearer wearing the wearable sensing device on the body.

The three-axis gyro sensor 212 measures the angular velocity of the three axes XYZ, unlike the acceleration sensor that measures the acceleration. When the angular velocity is integrated, the wear angle sensing device or the angle of inclination of the user wearing the wearable sensing device can be calculated. When the user is climbing a mountain course with a severe inclination, the body is generally tilted forward. Therefore, the body slope of the wearer wearing the wearable sensing device by using the three-axis gyro sensor 212 can be calculated and utilized So that the user can calculate the inclination slope of the moving path on the move.

The wearable sensing device 2000 of the present embodiment may include a wearer for wearing the wearer's body, a power module, and a user input / output module.

An example of the mechanical configuration of the wearable sensing device 2000 of the present embodiment can be referenced to an electrocardiograph module mechanism included in Korean Registered Patent No. 10-1945484 (registered on Jan. 29, 2019) previously registered by the present applicant, Based on the electrocardiograph module mechanism, additional modules can be embedded for various additional data measurement and transmission. In addition, a mechanical configuration of various known body-attachable wearable sensing devices 2000 may be applied, and thus a detailed description thereof will be omitted.

4, in terms of hardware, the monitoring server 1000 of the present embodiment includes a memory 2 for storing one or more instructions and a processor 4 for executing the one or more instructions stored in the memory 2 And is a computing device in which a computer program stored on a medium is executed to execute a method of monitoring biological signal data. The monitoring server 1000 of the present embodiment may include a data input / output interface 6, a communication interface 8, a data display means 3, and a data storage means 5.

The server of the present embodiment may have an input console such as a keyboard and a mouse, and may include display means such as a monitor and audio output means such as a speaker.

The module configuration of each of the servers described above is a functional concept, and it is needless to say that some modules may be integrated into one module or may be separately configured with detailed functions.

FIG. 5 is a flowchart of a method of monitoring bio-signal data according to an embodiment of the present invention, and FIG. 6 is a diagram illustrating a training situation for explaining a bio-signal data monitoring method according to an embodiment of the present invention.

6 illustrates a case where fifteen users (A1 to A15) wear their respective wearable sensing devices 2000 on the torso (chest area) and start their climbing training with a time interval according to their departure time zones. For example, the users Al to A15 may be athletes performing physical strength training, or military personnel performing military training.

The lines indicated by the dashed-dotted line are the topographic contour line, the HS contour line is the lowest point, HT contour line is the highest point, and P point is the highest climbing point. The users of A1 to A15 are trained to start from the HS position and arrive at the P point through various paths. The area between the contour lines is relatively low, and the area between the contour lines is relatively high. In general, when passing through a region with a high slope, the user's heart rate rises and the body temperature rises.

The wearable sensing device 2000 of the present embodiment includes a bio-signal measurement module 202, a position measurement module 203, and a wireless communication module 204. The wearable sensing device 2000 is provided with unique identification information, .

Preferably, the wearable sensing device 2000 may include a camera 213 and a video call module 205.

In step 1), the monitoring server 1000 receives biometric signal data, position data, and unique identification information from two or more wearable sensing devices 2000 worn by two or more users, respectively, based on a preset cycle.

The biomedical signal data includes electrocardiogram data and body temperature data.

According to the heartbeat, the activity current generated in the myocardium can be guided to the appropriate two points on the body surface and recorded by an ammeter. The recording of the thus obtained myocardial activity current is called an electrocardiogram. Electrocardiograms (ECGs) are widely used for heart function tests and cardiac function tests for physical exercise. For example, the heart rate can be extracted from the electrocardiogram data, and the heart rate of the normal state can be measured and stored for each user in advance. In the case of the general public, the heart rate is measured 70 to 80 times per minute. Normal body temperature is slightly different for each part of the body. For example, when measuring the chest area, 36.4 ° C can be regarded as a normal body temperature.

In step 2), the monitoring server 1000 determines whether the received biometric signal data of each user exceeds a predetermined threshold value for each user.

The threshold value is set based on the bio-signal data of the normal state measured for each user in advance, and is a reference value for determining whether or not the bio-signal of each user is abnormal.

For example, in the case of a general person, a heart rate equal to or more than 100 times per minute can be set as a heart rate threshold value, and a body temperature equal to or higher than 38 占 폚 can be set as a body temperature threshold value. The threshold value may be commonly applied to the average value of all users, or may be measured and individually set in advance in the steady state for individual users.

Only one of the heart rate threshold value and the body temperature threshold value may be used for judging whether or not both of the heart rate threshold value and the body temperature threshold value are exceeded.

The steady state for the threshold setting may be a state in which each user is walking at a preset normal walking speed (e.g., 5 km per hour) in a flat condition.

In step 3), when the biometric signal data of any one user exceeds the threshold value, the monitoring server 1000 sets the user as a monitoring target. In the example of Fig. 6, the case where the heart rate of the user A2 is measured as 110 and exceeds the threshold value 100 is illustrated.

The monitoring server 1000 sets the other users A1, A3, A4, A7, and A12 within the range of the predetermined radius r as the comparison target group based on the position of the user A2.

For example, in mountain climbing, the person who climbed to a similar position generally has similar fatigue and / or intensity of motion to the position, so that the heart rate and body temperature also increase to similar degree.

Therefore, even if the heart rate or body temperature of any one user rises above the threshold, if the heart rate or body temperature of other users located nearby is increased, It can be seen that a state has occurred.

On the other hand, if the heart rate or the body temperature of a specific user exceeds the threshold value even though the heart rate or the body temperature of the other user located nearby is not so high, .

In this embodiment, in consideration of this point, when the biometric signal data of any one of the users exceeds the threshold value, the other users (A1, A3, A4, A7, A12) within the predetermined radius r range are compared And determines whether the threshold value exceeded is a personal anomaly state of a specific user or a state commonly suffered by a geographical condition or the like.

The radius r value can be appropriately set in consideration of the terrain condition and the running condition, for example, 30 m and 50 m.

In step 4), the monitoring server 1000 determines whether each of the biometric signal data of the other users included in the comparison target group exceeds a predetermined sub-threshold for each user.

The quasi-threshold value is calculated by applying a predetermined threshold value preset ratio to a threshold value of each user.

For example, when each user is uniformly assigned a heart rate of 100 as a threshold value, it can be determined that a user having a heart rate of 90 or more exceeds a threshold value by setting the subthreshold value setting ratio to 90%.

Even if the other users included in the comparison target group are located close to the user who is the target of the monitoring, there may be some difference in the terrain condition and the traveling speed which are currently located. In consideration of this, it is determined whether or not the other users included in the comparison target group exceed the threshold value without applying the threshold value equally, and the determination can be made in consideration of the individual difference.

In step 5), when the number of other users exceeding the sub-threshold does not exceed a predetermined ratio in comparison with the total number of users in the comparison object group, the monitoring server 1000 determines that the user A2 ) As a bio-signal abnormality occurrence state.

In the example of FIG. 6, when a preset ratio is set to 50%, there are five users in total, other users (A1, A3, A4, A7, and A12) within the radius r, The number of other users (= 2) exceeding the quasi-threshold value does not exceed 50% as compared with the total number of users (= 5) of the comparison object group.

In this case, even though the other users included in the comparison object group do not exceed the predetermined threshold value on average, the user set as the monitoring target exceeds the threshold value, so that the user A2 set as the monitoring target is the individual It is judged that a bio-signal abnormality has occurred as a factor.

Conversely, when the preset ratio is set to 50%, the total number of users A 1, A 3, A 4, A 7, and A 12 within the radius r is 5, , And A4, the number of other users (= 3) exceeding the sub-threshold value exceeds 50% as compared with the total number of users (= 5) of the comparison target group.

In this case, since the other users included in the comparison target group have exceeded the overall threshold value, the user set as the monitoring target can be regarded as exceeding the threshold value due to the common causes such as the terrain condition and the moving distance, It is judged that the abnormality is not the abnormality of the personal biomedical signal of the user A2.

6), when the monitoring server 1000 determines that the user A2 set as the monitoring target is in the state of generating a bio-signal abnormality, the monitoring server 1000 determines whether or not the bio-signal data is abnormal among other users who do not exceed the sub- And transmits a video call connection alarm to the user located at the closest position from the user determined as the occurrence state.

For example, if there are 5 users in total in the range of radius r and 5 users in A1 and A3, Send call connection alarm. A7 The user is in the closest position without any health problems, so he can connect the video call to A2, check the status of the A2 user, and come first.

The video call connection alarm may be sent in a character form including the unique identification information and the positional information of the wearable sensing device 2000 of the user determined to be in the bio-signal abnormality occurrence state. The unique identification information may include a communication identification number such as a telephone number.

As a modification of the embodiment, in step 2), the monitoring server 1000 further determines whether the rate of change of the biometric signal data of each of the received users over time exceeds a preset rate of change threshold for each user .

The rate-of-change threshold is calculated and set based on the normal-state bio-signal data measured in advance for each user. For example, the change rate threshold can be set when the change rate of the heart rate per minute exceeds 10% based on the heart rate of the normal state.

In step 3), when the biometric signal data of one of the users exceeds the threshold value and exceeds the threshold of the rate of change, the monitoring server 1000 sets the user as a monitoring target. When considering the threshold of change rate along with the threshold value, it is possible to judge the abnormal state more precisely because both the rate of change and the rate of change of the heart rate are not considered.

In step 4), the monitoring server 1000 determines whether each of the biometric signal data of the other users included in the comparison target group exceeds a predetermined sub-threshold for each user, It is determined whether or not the rate of change per unit time of the biometric signal data exceeds a predetermined rate of change threshold for each user.

The change rate quasi-threshold value is calculated by applying a previously set change rate quasi-threshold value setting ratio to each change rate threshold of each user. The change rate quasi-critical value can also be set in a manner similar to the quasi-threshold value described above.

In step 5), if the number of other users exceeding the respective sub-threshold values and the change rate sub-thresholds does not exceed a preset ratio in comparison with the total number of users in the comparison target group, It is determined that the user A2 set as the monitoring target is in the bio-signal abnormality occurrence state.

As another modification, the wearable sensing device 2000 may include a three-axis acceleration sensor 211 and a three-axis gyro sensor 212.

In step 1), the monitoring server 1000 further receives three-axis acceleration sensor 211 measurement values and three-axis gyro sensor measurement values from two or more wearable sensing devices 2000 worn by two or more users, respectively do.

In step 3), the monitoring server 1000 calculates a movement state value for each user based on the measurement values of the three-axis acceleration sensor 211 and the three-axis gyro sensor 212, A3, A4, A7, and A12 within the range of the predetermined radius r based on the position of the set user A2 and the movement state value of the user A2 set as the monitoring target The other user having the movement state value included in the movement state value equal range preset as the reference is set as the comparison object group.

For example, the movement state value may include a slope of a movement path of a user of the wearable sensing device 2000 calculated using the measured values of the 3-axis acceleration sensor 211 and the 3-axis gyro sensor 212, And a movement acceleration.

The movement state value equal range can be set in a range form, for example, ± 10% based on the movement acceleration value, ± 5% based on the slope inclination.

Even if the user to be monitored and the other users in the comparison object group are located close to each other, there may be a difference in the specific mobile environment. For example, an A2 user may be on a larger path with a higher slope, and an A7 user may be moving up a lower path with a lower slope. Alternatively, the A2 location may be up faster, and the A7 user may be moving up more slowly. If there is a difference in slope or movement acceleration / speed, there will be a difference in exercise intensity, which may cause a difference in heart rate or body temperature. In consideration of this point, in the present embodiment, another user having the movement state value included in the movement state value equal range set in advance on the basis of the movement state value of the user A2 set as the monitoring target is set as the comparison object group do.

For example, when the slope of the current movement path of the user (A2) set as the monitoring target is 40 degrees and the movement range value equal range of ± 5% is set based on the slope inclination, A1, A3, A4, A7 , The user currently moving is set as the comparison target group under the inclination slope condition of 38 to 42 degrees among the users of A12.

Thereafter, the monitoring server 1000 executes steps 4) and 5) using the set comparison target group.

As another modification, the wearable sensing apparatus 2000 may further include a temperature sensor 206 and a humidity sensor 207.

In step 1), the monitoring server 1000 further receives temperature and humidity measurement values from two or more wearable sensing devices 2000 worn by two or more users.

In step 3), the monitoring server 1000 may be another user (A1, A3, A4, A7, A12) within a predetermined range of radius r based on the position of the user A2 set as a monitoring target, Also, another user having the temperature and humidity measurement values included in the temperature and humidity measurement value equal to the preset temperature and humidity measurement values of the user A2 set as the monitoring target is set as the comparison object group.

The temperature and humidity measurement equivalence range can be set to range form, for example, ± 5% based on temperature value, ± 5% based on humidity value, and so on.

Even if the user to be monitored and the other users in the comparative group are close to each other, there may be differences in temperature / humidity conditions depending on the presence or absence of trees, presence of shade, whether or not the surface of the earth is directly exposed to sunlight, In this embodiment, in consideration of this point, other users having the temperature and humidity measurement values included in the temperature and humidity measurement value equal range set in advance are set as the comparison object group. Since the concept of the equivalence range has been described above, redundant explanation is omitted.

Thereafter, the monitoring server 1000 executes steps 4) and 5) using the set comparison target group.

As another modification, the wearable sensing apparatus 2000 may further include a temperature sensor 206 and a humidity sensor 207.

In this case, in the step 2), the monitoring server 1000 is in a state in which each user strolls at a preset normal walking speed in a flat condition under preset reference temperature and reference humidity conditions .

In step 1), the monitoring server 1000 further receives temperature and humidity measurement values from two or more wearable sensing devices 2000 worn by two or more users.

Based on the difference between the reference temperature and the reference humidity condition and the temperature and humidity measurement values received from the respective wearable sensing apparatuses 2000 of the user, the bio- And generates correction data.

For example, if the temperature and humidity of the current user is higher than the preset reference temperature and the reference humidity condition, the physical power consumption may be higher and may affect the heart rate and body temperature rise. This aspect is taken into consideration in the present embodiment.

When the temperature and humidity measurement values received from each wearer's sensing device 2000 are higher or lower than the reference temperature and the reference humidity condition, the bio-signal data of each user received in step 1) And generates a bio-signal correction data corrected higher or lower by considering a correction ratio.

And executes the step 2) using the bio-signal correction data.

The bio-signal data monitoring method using the wearable device according to an embodiment of the present invention may be provided as a computer program stored in a medium for execution in combination with hardware.

To this end, embodiments of the present invention include a program for performing various computer-implemented operations and a computer-readable recording medium storing the program. The computer-readable recording medium may include a program command, a data file, a data structure, and the like, alone or in combination. The media may be those specially designed and constructed for the present invention or may be those known to those skilled in the computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROMs, DVDs, USB drives, self-optical media such as floppy disks, And a hardware device specifically configured to store and execute program instructions such as flash memory and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like.

1000: Monitoring server
2000: Wearable sensing device

Claims (11)

A method for monitoring a living body signal data to be executed in a monitoring server, which is connected to a wearable sensing device having a bio-signal measurement module, a position measurement module, and a wireless communication module,
1) receiving biometric signal data, position data and unique identification information from two or more wearable sensing devices worn by two or more users, respectively, based on a preset cycle;
2) determining whether or not the received biometric signal data of each user exceeds a predetermined threshold value for each user, wherein the threshold value is determined based on biometric signal data of normal state measured in advance for each user A reference value for determining whether each user's biological signal is in an abnormal state;
3) When the biometric signal data of one of the users exceeds the threshold value, the user is set as the monitoring target and the other user within the predetermined radius range is set as the comparison target group based on the position of the user ;
4) determining whether bio-signal data of each of the other users included in the comparison target group exceeds a predetermined sub-threshold value for each user, the sub-threshold value being set in advance for each user Calculated by applying a sub-threshold setting ratio; And
5) determining that the user set as the monitoring target is a bio-signal abnormality occurrence state when the number of other users exceeding the sub-threshold does not exceed a preset ratio in comparison with the total number of users in the comparison target group; The method comprising the steps of:
The method according to claim 1,
The method of claim 1, further comprising, in step 2), further determining whether a rate of change of the received biometric signal data per user exceeds a predetermined rate of change threshold for each user, the rate of change being measured for each user Based on bio-signal data in a normal state,
Wherein when the bio-signal data of one of the users exceeds the threshold and exceeds the threshold of the rate of change in the step (3), the user is set as a monitoring target. Way.
3. The method of claim 2,
In the step 4)
Whether or not each of the bio-signal data of the other users included in the comparison target group exceeds a predetermined sub-threshold for each user and the rate of change of each of the bio-signal data of the other user per time Wherein the change rate quasi-threshold value is calculated by applying a preset rate of change quasi-threshold value to each change rate threshold of each user,
In the step 5)
When the number of other users exceeding the respective sub-threshold values and the change rate sub-thresholds does not exceed a preset ratio in comparison with the total number of users in the comparison object group, The method comprising the steps of: (a)
The method according to claim 1,
The wearable sensing device further includes a three-axis acceleration sensor and a three-axis gyro sensor,
In the step 1), the three-axis acceleration sensor measurement value and the three-axis gyro sensor measurement value are further received from two or more wearable sensing devices respectively worn by two or more users,
In step 3), a movement state value for each user is calculated on the basis of the 3-axis acceleration sensor measurement value and the 3-axis gyro sensor measurement value, and based on the position of the user set as a monitoring target, And sets another user having the movement state value included in the motion state value equal to the preset movement state value as the comparison object group based on the movement state value of the user set as the monitoring target,
Wherein the step 4) and the step 5) are performed using the set comparison object group.
5. The method of claim 4,
Wherein the movement state value is at least one of an inclination slope, a movement velocity, and a movement acceleration of a user's movement path of the wearable sensing device calculated using the three-axis acceleration sensor measurement value and the three-axis gyro sensor measurement value Monitoring method of biological signal data using wearable device.
The method according to claim 1,
The wearable sensing device further includes a temperature sensor and a humidity sensor,
In the step 1), the temperature and humidity measurement values are further received from two or more wearable sensing devices respectively worn by two or more users,
In step 3), the temperature and humidity measured in advance by the temperature and humidity measurement values of the user other than the user within the predetermined radius range based on the position of the user set as the monitoring target, The other user having the temperature and humidity measurement values included in the value equal range is set as the comparison object group,
Wherein the step 4) and the step 5) are performed using the set comparison object group.
The method according to claim 1,
Wherein the bio-signal data includes electrocardiogram data and body temperature data.
The method of claim 1,
Wherein in the step 2), the steady state for threshold setting is a state in which each user strolls at a predetermined normal walking speed in a flat ground condition.
The method according to claim 1,
In the step 2), the steady state for threshold setting is a state in which each user is walking at a preset normal walking speed in a flat condition under preset reference temperature and reference humidity conditions,
The wearable sensing device further includes a temperature sensor and a humidity sensor,
In the step 1), the temperature and humidity measurement values are further received from two or more wearable sensing devices respectively worn by two or more users,
Based on the difference between the reference temperature and the reference humidity condition and the temperature and humidity measurement values received from each wearer's sensing device of the user, the bio-signal correction data obtained by correcting the bio- Generate,
And the step 2) is executed using the bio-signal correction data.
The method according to claim 1,
The wearable sensing device further includes a camera and a video communication module,
6) In the case where the user set as the monitoring target is determined to be in the bio-signal abnormality occurrence state, the user who is in the closest position from the user who has determined that the biosignal data does not exceed the quasi- And the video call connection alarm includes the unique identification information and the positional information of the wearable sensing device of the user judged to be in a state of occurrence of a biomedical signal abnormality, Method of monitoring signal data.
A computer program stored in a medium coupled with hardware to perform a method of monitoring biological signal data,
The bio-signal data monitoring method includes a bio-signal measurement module, a position measurement module, and a wireless communication module. The bio-signal data monitoring method is implemented in a monitoring server interlocked with a wearable sensing device having unique identification information through a wireless network ,
Receiving biometric signal data, position data and unique identification information from two or more wearable sensing devices worn by two or more users, respectively, based on a preset cycle;
Determining whether the received biometric signal data of each user exceeds a preset threshold value for each user, the threshold value being set based on biometric signal data of normal state measured in advance for each user A reference value for determining whether each user's biological signal is in an abnormal state;
Setting a user as a monitoring target when the biometric signal data of one of the users exceeds the threshold and setting another user within a predetermined radius range based on the position of the user as a comparison target group;
Determining whether bio-signal data of each of the other users included in the comparison target group exceeds a predetermined sub-threshold value for each user, the sub-threshold value being a sub-threshold value preset for each user's threshold Calculated by applying a set ratio; And
And determining that the user set as the monitoring target is a bio-signal abnormality occurrence state when the number of other users exceeding the predetermined threshold does not exceed a predetermined ratio in comparison with the total number of users in the comparison target group The computer program comprising:

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