KR20230123211A - Method for requesting an aid, by using bio-signals based on wearable devices and apparatus thereof - Google Patents

Abstract

Disclosed are a method for requesting an aid based on bio-signals collected by a wearable device and an apparatus thereof, which may collect bio-signals of a patient by a wearable device and then accurately analyze the signals. The method for requesting an aid based on bio-signals collected by a wearable device provided by one embodiment of the present invention may comprise: a step of collecting a bio-signal of a user for a first period from the wearable device and generating a three-dimensional pattern representing the user based on the collected bio-signal; a step of comparing the generated three-dimensional pattern with comparison patterns calculated for each patient after collecting bio-signals of a plurality of patients; a step of detecting one or more comparison patterns having a similarity of a pre-set value or more with the generated three-dimensional pattern among the calculated comparison patterns; and a step of collecting a bio-signal of the user for a second period from the wearable device and transmitting an aid request signal to an external device when the bio-signal collected for the second period exceeds a reference value set by the detected comparison patterns.

Description

Method for requesting an aid, by using bio-signals based on wearable devices and apparatus thereof}

The present invention relates to a method for requesting aid by analyzing a patient's biosignal to determine that an emergency has occurred, and more specifically, to a wearable device to collect and analyze the patient's biosignal, and as a result of the analysis, It relates to a method for accurately detecting an emergency situation and requesting aid to a person who can resolve the emergency situation most quickly, and an apparatus for implementing the method.

The average life expectancy of the people of Korea announced by the National Statistical Office in 2019 is 83 years old, and it is evaluated that it has already entered an aging society. As shown above, as the average life expectancy has increased significantly, the proportion of the elderly and the elderly in the total population of the country has also increased considerably. Even if the average life expectancy has increased, it is inevitable for the elderly to actually receive help from hospitals, and as the number of elderly people who need protection due to poor mobility or severe illness increases, the caregiver industry that takes care of the elderly has naturally developed.

According to recent statistics, there are more than 250,000 carers in Korea, and it is interpreted that the employment rate of carers will continue to rise in the future. The dissolution of the traditional concept of the family has exploded the number of elderly households living alone, and the prevailing opinion of experts is that the demand for caregivers will continue to increase according to the expansion of medical insurance coverage.

However, despite the increasing demand for caregivers, since the caregivers' work has the characteristics of assisting patients, caregivers inevitably have low job satisfaction, and in many cases, caregivers' wages are in arrears. am. Caregivers pay annual insurance premiums regardless of whether they have worked, but due to work conditions where continuous and long-term work is impossible, there are often situations in which caregivers have to pay insurance premiums first without being paid, so a system to supplement this I need various studies on business methods.

Republic of Korea Patent Publication No. 10-2019-0086112 (published on July 22, 2019)

The technical problem to be solved by the present invention is to accurately detect that an emergency has occurred to the patient based on the biosignal collected from the wearable device worn by the patient, and to take the most appropriate follow-up accordingly It is to provide a method for and an apparatus for implementing the method.

A method according to an embodiment of the present invention for solving the above technical problem is a rescue request method based on bio-signals collected by a wearable device, collecting a user's bio-signals from the wearable device during a first period, and generating a three-dimensional pattern representing the user based on the collected bio-signals; collecting bio-signals of a plurality of patients and comparing comparison target patterns calculated for each patient with the generated three-dimensional pattern; Based on the comparison result, detecting at least one comparison target pattern having a similarity to the generated three-dimensional pattern or more than a predetermined value among the calculated comparison target patterns; and collecting bio-signals of the user during a second period from the wearable device, and sending a rescue request signal to an external terminal when the bio-signals collected during the second period exceed a reference value set by the detected pattern to be compared. It includes sending.

In the above method, the user may be an inpatient who receives a care service from a caregiver, and the external terminal may be a caregiver terminal used by the caregiver.

In the method, the step of comparing with the generated 3-dimensional pattern compares the distance between the 3-dimensional pattern located on a 3-Dimension Virtual Space and the pattern to be compared, and as a result of the comparison A similarity is calculated, and a higher value may be calculated as the distance is closer.

In the method, in the step of comparing with the generated 3D pattern, a 3D virtual space in which the generated 3D pattern and the patterns to be compared are disposed at different positions is processed as visualization data, and the processed visualization is performed. Data can be controlled to be output to the user terminal used by the user.

In the method, the comparing with the generated 3D pattern may control the processed visualization data to be output to the user terminal in response to a visualization request received from the user terminal.

In the method, the user is an inpatient who receives a nursing service from a caregiver, and the external terminal is a caregiver terminal used by a caregiver and a medical staff terminal used by a medical team in charge of the inpatient. can be any one of

In the method, the number of wearable devices may be at least two or more.

In the above method, the wearable device may include a communication module capable of communicating independently without passing through a user terminal used by the user.

In the above method, the wearable device may include an identification code identifiable by a communication company server.

In the above method, the biosignal may be a signal for at least one of blood pressure, pulse rate, and blood sugar of the user.

In the method, the biosignal may be a signal for at least one of systolic blood pressure, diastolic blood pressure, pulse rate, and blood sugar of the user.

In the above method, in the generating of the 3D pattern, the 3D pattern may be generated with bio signals collected after it is determined that the user is a verified user.

In the method, in the generating of the 3D pattern, the 3D pattern may be generated only when the bio-signal is collected over a predetermined reference time.

An apparatus according to another embodiment of the present invention for solving the above technical problem includes a communication unit configured to communicate with a terminal of a wearable device and an owner; and a processing unit that processes data received by the communication unit and data to be transmitted, wherein the processing unit collects bio-signals of the user during a first period from the wearable device, and selects the user based on the collected bio-signals. A representative 3D pattern is created, bio-signals of a plurality of patients are collected, comparison target patterns calculated for each patient are compared with the generated 3D pattern, and the calculated comparison target is based on the result of the comparison. Among the patterns, at least one comparison target pattern having a similarity to the generated three-dimensional pattern and a predetermined value or more is detected, and the user's biosignal is collected from the wearable device during a second period, and collected during the second period When the detected biosignal exceeds the reference value set by the detected pattern to be compared, a rescue request signal is transmitted to an external terminal.

An embodiment of the present invention may provide a computer readable recording medium storing a program for executing the method.

According to the present invention, optimal follow-up measures can be applied to a patient in an emergency situation, so that the patient can quickly escape from the emergency situation.

In addition, according to the present invention, it is possible to accurately analyze a patient's bio-signals collected from a wearable device.

1 is a diagram schematically showing the entire system for implementing the present invention.
2 is a block diagram showing an example of a relief request device according to the present invention.
FIG. 3 is a block diagram illustrating another example of the processing unit described in FIG. 2 .
FIG. 4 is a block diagram illustrating another example of the comparison target pattern detection unit of FIG. 3 .
5 is a block diagram showing another example of the aid request determination unit of FIG. 3 .
6 is a diagram schematically illustrating an example of a process of generating a 3D pattern by a 3D pattern generating unit using a user's biosignal.
7 is a diagram schematically illustrating another example of a process of generating a 3D pattern by a 3D pattern generating unit using a user's bio-signal.
8 schematically shows an example of a 3D virtual space in which 3D patterns and patterns to be compared are arranged.
9 schematically shows an example of cluster summary information.
10 is a diagram for explaining an example of similarity determination in a 3D virtual space.
11 is a flowchart illustrating an example of a rescue request method according to the present invention.
12 is a flowchart illustrating another example of a rescue request method according to the present invention.
13 is a flowchart illustrating another example of a rescue request method according to the present invention.

Since the present invention can apply various transformations and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. Effects and features of the present invention, and a method of achieving them will become clear with reference to the embodiments described later in detail together with the drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various forms.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, and when describing with reference to the drawings, the same or corresponding components are given the same reference numerals, and overlapping descriptions thereof will be omitted. .

In the following embodiments, terms such as first and second are used for the purpose of distinguishing one component from another component without limiting meaning.

In the following embodiments, singular expressions include plural expressions unless the context clearly indicates otherwise.

In the following embodiments, terms such as include or have mean that features or elements described in the specification exist, and do not preclude the possibility that one or more other features or elements may be added.

When an embodiment is otherwise embodied, a specific process sequence may be performed differently from the described sequence. For example, two processes described in succession may be performed substantially simultaneously, or may proceed in an order reverse to the order described.

1 is a diagram schematically showing the entire system for implementing the present invention.

Referring to FIG. 1, the aid request system 1 based on bio-signals collected by a wearable device includes a management server 20, a patient terminal group 110, a caregiver terminal 130, a medical staff terminal 150, and an ambulance. The terminal 170 has a structure connected through a communication network. Hereinafter, the aid request system 1 based on the bio-signals collected by the wearable device will be abbreviated as the aid request system 1.

The management server 20 performs a function of controlling the operation of the relief request system 1 as a whole. More specifically, the management server 20 manages a care contract concluded between a patient's guardian and a caregiver, and coordinates data flow between the patient terminal group 110 and the caregiver terminal 130. can do.

The management server 20 is a server on which an integrated management program is installed, and means a server that manages and controls data flow while communicating with the rest of the components included in the relief request system 1. An integrated management program (integrated management app) is installed in the management server 20, and according to an embodiment, a part of the integrated management program is in the form of a client that runs on the patient terminal 113 and the caregiver terminal 130. It can be implemented and installed in the patient terminal 113 and the caregiver terminal 130 .

When the patient terminal group 110 is classified into the first group, the caregiver terminal 130, the medical staff terminal 150, and the ambulance terminal 170 are classified into the second group, the present invention, the management server 20 It serves as a mediator between the group and the second group, and includes a methodology for effectively delivering a relief request to a specific terminal included in the second group using data generated in the first group.

The patient terminal group 110 refers to a group of terminals communicating with the management server 20 with the patient as the subject, and may include a wearable device 111 and a patient terminal 113. Hereinafter, the wearable device 111 will be abbreviated as WD 111.

The WD 111 is mounted on a specific part of the patient's body, collects the patient's bio-signals, converts the collected bio-signals into digital data, and transmits data to the patient terminal 113 and the management server 20 through the communication network 190. At least one can be sent. As an example, the WD 111 may be a smart watch that can be worn on a patient's wrist. In FIG. 1, the WD 111 is shown in the form of a smartwatch that can be mounted on a patient's wrist, but the present invention does not limit the type of the WD 111 to a specific type, so it can be worn on a part other than the patient's wrist. Various mounted wearable devices may also become the WD 111 . For example, a blood pressure monitor mounted on a patient's upper arm and a band-shaped monitor mounted on a patient's neck or ankle may also be the WD 111 according to the present invention.

As an example, the number of WDs 111 mounted on one patient may be at least two or more in order to sufficiently secure a sample amount of bio-signals collected by the WD 111 and improve accuracy.

In addition, as another embodiment, the WD 111 may include a communication module to enable communication alone without passing through a user terminal used by a user. In general, the small-sized WD 111 is capable of only wired communication through a cable or short-range communication such as Bluetooth, Wifi, and NFC due to limitations in battery capacity or processing speed. In the present invention, since the size or performance of the WD 111 is not limited to a specific size or performance, the WD 111 according to the present invention communicates with the management server 20 alone without passing through the patient terminal 113 It may include a communication module capable of this. For example, the WD 111 may be an electronic device having a Universal Subscriber Identity Module (USIM) embedded therein so as to be able to communicate with a telecommunication company server (not shown), and the WD 111 may be a 4th generation (4th generation) according to a preset communication protocol. It is possible to communicate with the patient terminal 113 and the management server 20 at a speed supported by 4G) or 5th generation (5G) communication. That is, the WD 111 may be implemented through hardware or software and include an identification code identifiable by a communication company server (not shown).

The WD 111 may collect the patient's bio-signals and transmit them to at least one of the patient terminal 113 and the management server 20 . The bio-signal collected by the WD 111 may be a signal for at least one of blood pressure, pulse rate, and blood sugar of a patient as a user.

In general, by analyzing bio-signals collected from a patient, information on the patient's health state can be obtained in various ways. For example, if the patient's bio-signal is analyzed, the patient's pulse, the patient's systolic blood pressure value (systolic blood pressure value) and diastolic blood pressure value (diastolic blood pressure value), the patient's electrocardiogram test result (ECG), the patient's blood sugar, etc. Able to know.

In particular, in the past, to find out the patient's blood sugar, the patient's blood was necessarily required, but recently a method for estimating the patient's blood sugar through a non-invasive method using Raman spectroscopy has been introduced. The method can be implemented in various smart devices. Specifically, after focusing and irradiating light of a specific wavelength to a specific part of the body where capillaries are concentrated, by analyzing the wavelength transformed Raman spectrum by glucose molecules, the patient It can estimate the blood glucose concentration without taking a blood sample. The present invention includes an embodiment in which a biosignal including information about a patient's blood sugar is collected through the WD 111.

The caregiver terminal 130 refers to an electronic device equipped with a communication module capable of transmitting and receiving data with each component included in the aid request system 1. The caregiver terminal 130 includes an input device for receiving the caregiver's input, an output device (display) for visually outputting the input of the caregiver terminal 130 or the processing result of the terminal, and a communication module capable of communicating with an external device. Since it means a smart device, it is not limited in size or type as long as it includes only the above-described input device, output device, and communication module.

The medical staff terminal 150 is a terminal used by medical staffs who help the user recover, who is a patient admitted to a hospital and receiving treatment, and a terminal used by the user's doctor and a dedicated nurse of the user may include at least one of them. Like the caregiver terminal 130, the medical staff terminal 150 may be an electronic device equipped with a communication module capable of communicating with the management server 20.

1, the caregiver terminal 130 and the medical staff terminal 150 are shown in the form of a smart phone, but the caregiver terminal 130 and the medical staff terminal 150 when the present invention is implemented are not limited to smartphones, and are generally It may be a device installed in a fixed location like a personal computer (PC) or a portable terminal such as a tablet personal computer (Tablet PC) or netbook.

The ambulance terminal 170 refers to a terminal installed in an ambulance for transporting patients. The ambulance terminal 170 may determine the location of a patient who has deviated from the safe area according to the rescue request signal received from the management server 20 and control the ambulance to move the patient back to the safe area.

The communication network 190 performs a function of connecting the patient terminal group 110, the caregiver terminal 130, and the medical staff terminal 150 with the management server 20, and provides various wired and wireless communication networks such as data networks, mobile communication networks, and the Internet. can include

The relief request device according to an embodiment of the present invention may be implemented in a form physically or logically included in at least one of the WD 111, the patient terminal 113, and the management server 20 among the configurations shown in FIG. This may be described later in FIG. 2 .

2 is a block diagram showing an example of a relief request device according to the present invention.

Referring to FIG. 2 , it can be seen that the relief request device 200 according to an embodiment of the present invention includes a database 210, a communication unit 230, a processing unit 250, and an output unit 270. Referring to FIG. 1, the aid request device 200 according to FIG. 2 may be implemented in a form physically or logically included in at least one of the WD 111, the patient terminal 113, and the management server 20 there is.

The relief request device 200 according to an embodiment of the present invention corresponds to at least one processor or may include at least one processor. Accordingly, the communication unit 230, the processing unit 250, and the output unit 270 included in the relief request device 200 may be driven in a form included in a hardware device such as a microprocessor or a general-purpose computer system.

The name of each module included in the aid request device 200 shown in FIG. 2 is arbitrarily named to intuitively describe the representative function performed by each module, and when the aid request device 200 is actually implemented, Each module may be given a name different from that described in FIG. 2 .

In addition, the number of modules included in the relief request device 200 of FIG. 2 may vary depending on the embodiment. More specifically, the relief request device 200 of FIG. 2 includes a total of three modules, but according to embodiments, at least two or more modules are integrated into one module, or at least one or more modules are combined into two or more modules. It may be implemented in a separate form.

The database 210 stores various data necessary for the aid requesting device 200 to operate. As an example, the database 210 stores an integrated management program for controlling the operation of the aid request device 200, and the database 210 stores data received by the communication unit 230 from the patient terminal group 110. It can be received and stored.

The communication unit 230 communicates with the patient terminal group 110 , the caregiver terminal 130 , the medical staff terminal 150 and the ambulance terminal 170 .

The processing unit 250 processes data received by the communication unit 230 and data to be transmitted. Data processed by the processing unit 250 includes data received from the caregiver terminal 130, medical staff terminal 150, and ambulance terminal 170 as well as data received from the patient terminal group 110.

As an example, the processing unit 250 may collect and analyze bio-signals received from the WD 111 of FIG. 1 and, as a result of the analysis, determine that the patient is in an emergency situation. The processing unit 250 may recognize the emergency situation of the patient and transmit a rescue request signal to at least one of the caregiver terminal 130 , the medical staff terminal 150 and the ambulance terminal 170 . For convenience of description, the caregiver terminal 130, the medical staff terminal 150, and the ambulance terminal 170 located on the right side of the management server 20 in FIG. 1 are collectively referred to as outside terminals. A detailed description of the operation performed by the processing unit 250 will be described later with reference to FIGS. 3 to 13 .

The output unit 270 receives a command from the processing unit 250 and performs a function of calculating and outputting various data. As an example, the output unit 270 may output a relief request signal according to the processing result of the processing unit 250 .

FIG. 3 is a block diagram illustrating another example of the processing unit described in FIG. 2 .

Referring to FIG. 3 , it can be seen that the processing unit 250 includes a 3D pattern generation unit 251, a pattern comparison unit 253, a comparison target pattern detection unit 255, and a relief request determination unit 257. For convenience of explanation, hereinafter, it will be described with reference to FIGS. 1 and 2 .

The 3D pattern generation unit 251, the pattern comparison unit 253, the comparison target pattern detection unit 255, and the relief request determination unit 257 shown in FIG. 3 are sub-modules included in the processing unit 250, As such, it is regarded as a module that corresponds to at least one or more processors or includes at least one or more processors and is capable of independent operation. In addition, although the processing unit 250 in FIG. 3 is illustrated as including a total of four sub-modules, according to embodiments, at least one or more modules shown in FIG. 3 are included in another module, or at least two or more modules are included in one module. It may be implemented in an integrated form as a module of.

The 3D pattern generator 251 generates a 3D pattern representing the user based on the user's bio-signals collected during the first period by the communicator 230 from the WD 111 . Hereinafter, unless specifically limited, a three-dimensional pattern is considered to be used in the same meaning as a user pattern. In the present invention, it has already been described that the user means an inpatient receiving care service from a caregiver. Since the 3D pattern generated by the 3D pattern generating unit 251 is a pattern generated based on the bio-signals collected from the user during the first period, it includes changes and characteristics of the user's bio-signals as they are. Here, the first period may be 72 hours, but is not limited thereto.

After determining that the user is a verified user, the 3D pattern generator 251 may generate a 3D pattern with collected biosignals. If the bio-signal collected from the WD 111 is not the user's bio-signal, generating a 3-dimensional pattern based on this will result in meaningless data. After collecting test data for 120 seconds) to determine the eligibility of the person wearing the WD 111, a three-dimensional pattern can be created.

In addition, the 3D pattern generating unit 251 may generate a 3D pattern only when the biosignal is collected beyond a predetermined reference time. Here, the reference time means a time enough to generate a 3D pattern with information included in the bio-signal, and may be longer than the first period.

A process of generating a 3D pattern by the 3D pattern generator 251 will be described later with reference to FIGS. 6 and 7 .

The pattern comparison unit 253 may perform a function of collecting bio-signals of a plurality of patients and comparing the comparison target patterns calculated for each patient with the 3D patterns generated by the 3D pattern generator 251, respectively. Here, patients refer to patients other than the user, and since the pattern to be compared is calculated for each patient, it is equal to the number of patients. For example, if bio-signals of 5000 patients are stored in the database 210, there are 5000 patterns to be compared, and the pattern comparator 253 compares the 3D patterns with the patterns to be compared a total of 5000 times. can be performed. In this case, since 5000 is an exemplary value, the number of patients or the number of comparison target patterns may vary depending on the embodiment. In addition, the pattern to be compared is common with the user pattern in that the subject is only changed from the user to other patients and is a vector pattern expressed in three dimensions. Another embodiment of a process in which the pattern comparison unit 253 compares the 3D pattern and the comparison target patterns will be described later with reference to FIG. 10 .

As an embodiment, the pattern comparison unit 253 compares the distance between the 3D pattern and the comparison target pattern located on the 3D virtual space, and as a result of the comparison, the 3D pattern and the comparison target. A similarity value of each pattern is calculated, and the calculated similarity has a characteristic in that a higher value is calculated as the distance between the 3D pattern and the pattern to be compared is closer in the 3D virtual space. In other words, the distance and similarity between the 3D pattern and the pattern to be compared are inversely proportional.

As another embodiment, the pattern comparison unit 253 visualizes the 3D pattern generated by the 3D pattern generator 251 and the 3D virtual space in which the comparison target patterns to be compared with the 3D pattern are arranged at different positions, respectively. , and the processed visualization data can be controlled to be output to the patient terminal 113.

As another embodiment, the pattern comparison unit 253 may control visualization data to be output to the user terminal in response to a visualization request received from the patient terminal 113 used by the user. Specifically, the pattern comparison unit 253 receives a visualization request from the patient terminal 113, and as a response thereto, information for enabling the patient terminal 113 to output visualization data. can be collected and transmitted. This optional embodiment can be distinguished from other embodiments in which visualization data is output without a user's request in that visualization data is output to the patient terminal 113 only when a visualization request is received from a user.

Processing and output of visualization data performed by the pattern comparison unit 253 will be described later with reference to FIGS. 8 and 9 .

Based on the comparison result of the pattern comparison unit 253, the comparison target pattern detection unit 255 detects at least one comparison target pattern having a similarity to a 3D pattern or more than a preset value among the comparison target patterns. The comparison target pattern detected by the comparison target pattern detection unit 255 may be managed in the same cluster as the 3D pattern, which will be described later.

The aid request determination unit 257 collects the user's bio-signals from the WD 111 during the second period, and when the bio-signals collected during the second period exceeds the reference value set by the detected pattern to be compared, to the external terminal A help request signal can be transmitted. Here, the second period means a period that does not overlap with the first period described above, and may be a period further in the future than the first period. When at least one comparison target pattern is detected by the comparison target pattern detection unit 255, a reference value is included as metadata in the comparison target pattern. The aid request determination unit 257 reads the reference value included in the comparison target pattern, determines whether the biosignals collected during the second period exceed the reference value, and transmits the aid request signal to the external terminal only if it exceeds the reference value. can

The first period means a period of collecting bio-signals in order to detect a pattern similar to a 3D pattern or more than a certain level among numerous comparison target patterns. On the other hand, the second period refers to a period during which bio-signals are newly collected after the user is found to have similar bio-characteristics to specific patients among numerous patients, and the aid request determination unit 257 determines the bio-signals of the user. When an abnormality occurs and the cluster deviates from the internal standard, a rescue request signal is transmitted to an external terminal.

As described above, in the present invention, the similarity of the biosignals between the user and other patients is determined after being processed in three dimensions, but after it is revealed that the user belongs to a specific cluster, the comparison between the user's biosignals and the reference value is performed. Through this, it is determined whether an emergency has occurred to the user. The reference value is set differently for each cluster, and can be continuously updated while being equally applied and effectively managed to patients belonging to the corresponding cluster. The comparison process processed by the relief request determination unit 257 will be described later with reference to FIG. 10 .

FIG. 4 is a block diagram illustrating another example of the comparison target pattern detection unit of FIG. 3 .

Referring to FIG. 4 , it can be seen that the comparison target pattern detection unit 255 of FIG. 3 includes a similarity determination unit 2551 and a cluster determination unit 2553 . For convenience of explanation, hereinafter, it will be described with reference to FIGS. 1 to 3 .

Since the similarity determining unit 2551 and the cluster determining unit 2553 shown in FIG. 4 are submodules included in the comparison target pattern detection unit 255, they correspond to at least one or more processors as described above or include at least one or more processors. Therefore, it is regarded as a module capable of independent operation, and may be implemented in a form in which two modules are integrated or separated into three or more modules.

The similarity determination unit 2551 may collect the similarity calculated as a comparison result between the 3D pattern and the comparison target pattern in the pattern comparison unit 253 and determine whether there is a similarity higher than a preset value. For example, when the 3D pattern and the three comparison target patterns are compared, a first similarity, a second similarity, and a third similarity may be calculated, and the similarity determining unit 2551 determines the first similarity, the second similarity, and the second similarity. By comparing each of the three similarities with a preset value, it can be determined that only the third similarity has a similarity equal to or greater than the preset value.

The cluster determiner 2553 receives the third similarity identified by the similarity determiner 2551, detects a comparison target pattern having a third similarity when compared with the 3D pattern, and converts the detected comparison target pattern into a 3D pattern. It can be determined as the same cluster as When the cluster to which the 3D pattern belongs is determined by the cluster determination unit 2553, biosignals collected thereafter (eg, biosignals collected during the second period) are compared with reference values set internally for the cluster. It functions as an element for determining whether an emergency has occurred to the user.

5 is a block diagram showing another example of the aid request determination unit of FIG. 3 .

Referring to FIG. 5, the aid request determination unit 257 of FIG. 3 includes a new bio-signal collection unit 2571, a reference value determination unit 2573, a comparison operation unit 2575, an external terminal determination unit 2577, and a relief signal generation unit. It can be seen to include section 2579. For convenience of explanation, hereinafter, it will be described with reference to FIGS. 1 to 3 .

The new bio-signal collection unit 2571, the reference value determination unit 2573, the comparison operation unit 2575, the external terminal determination unit 2577, and the relief signal generation unit 2579 shown in FIG. 5 are the aid request determination unit 257 Since it is a sub-module included in , it is regarded as a module that corresponds to at least one or more processors as described above or includes at least one or more processors and is considered a module capable of independent operation, and some modules may be integrated or implemented in a form of being separated into 6 or more modules. may be

The new bio-signal collection unit 2571 collects the user's bio-signals during the second period. Previously, it has been described that the second period is a period during which bio-signals are collected in order to determine whether an emergency has occurred to the user.

When the biosignal for the second period is collected, the reference value determiner 2573 searches for a cluster to which the user belongs and determines a reference value set in the cluster. The same reference value may be applied to all users or patients included in the same cluster. For example, if the reference value of the first cluster is S ₁ , the reference value of the second cluster is S ₂ , and the user belongs to the second cluster, the reference value determiner 2573 determines the reference value when the user's bio-signal is collected. can be determined as S ₂ .

Based on the reference value determined by the reference value determiner 2573, the comparison operation unit 2575 may determine whether there is a point in time whether the biosignal during the second period exceeds the reference value. At this time, the biosignal is time-variant data whose value changes over time, and the comparison operation unit 2575 determines whether the constantly changing biosignal exceeds a reference value at a specific point.

The external terminal determination unit 2577 may determine an external terminal to transmit a rescue request signal to when it is determined that the user is in an emergency situation (when the vital signal exceeds a reference value) due to the judgment of the comparison operation unit 2575. . The external terminal determination unit 2577 may determine an external terminal based on at least one of information set inside the cluster to which the user belongs, location information of the user, and learning information updated over time. to be described later.

The relief signal generation unit 2579 may generate a relief request signal to be transmitted to an external terminal and transmit it to the communication unit 230 . The communication unit 230 refers to the external terminal included in the aid request signal and transmits the aid request signal to the external terminal, so that the user can quickly escape from the emergency situation.

6 is a diagram schematically illustrating an example of a process of generating a 3D pattern by a 3D pattern generating unit using a user's biosignal.

Referring to FIG. 6 , it can be seen that signals for the user's blood pressure, the user's pulse, and the user's blood sugar are collected as the user's bio-signals. The number can be a minimum of 1 and a maximum of 3. For example, a signal for blood pressure from a blood pressure monitor mounted on the user's upper arm, a signal for pulse from a pulse rate monitor mounted on the user's wrist, and a signal for blood sugar from a blood glucose monitor mounted on the user's thigh each can be collected. A site where the above-described WD 111 is mounted may vary depending on the user's biological characteristics, the user's disease, and the type of the WD 111.

First, in FIG. 6 , the first pattern 610 represents systolic and diastolic blood pressures that change over time as a vector pattern. In FIG. 6 , the first pattern 610 is shown as a two-dimensional pattern, but the first pattern 610 is a three-dimensional pattern in which coordinates of x, y, and z axes are set and the directionality of the pattern is determined. For example, the value of the systolic blood pressure, the value of the diastolic blood pressure, and a corresponding point in time may constitute a fixed 3D coordinate of one point in time.

Although not shown in FIG. 6 , as another example, there may be two first patterns 610 for blood pressure. For example, the value of systolic blood pressure, the change rate of systolic blood pressure, and a corresponding point in time may constitute a fixed 3D coordinate of one point in time, and this pattern generation method may be equally applied to diastolic blood pressure.

Subsequently, in FIG. 6, the second pattern 630 represents a pulse rate that varies over time as a vector pattern. Like the first pattern 610, the second pattern 630 may also be processed into a 3D pattern by the 3D pattern generator 251.

Finally, in FIG. 6 , the third pattern 650 represents blood glucose values that change over time as a vector pattern. Like the first pattern 610, the third pattern 650 may also be processed into a 3D pattern by the 3D pattern generator 251.

The 3D pattern generator 251 may generate a user pattern 660 representing a user by integrating the first pattern 610 , the second pattern 630 , and the third pattern 650 . Here, the user pattern 660 means the three-dimensional pattern described in FIGS. 2 to 5 . The user pattern 660 generated by the 3D pattern generator 251 in FIG. 6 has a form in which patterns for blood pressure, pulse, and blood sugar are sequentially arranged from top to bottom, but according to embodiments, blood pressure, pulse, The order of blood sugar may vary.

When the user pattern 660 is generated, the pattern comparison unit 253 analyzes the characteristics of the user pattern 660 to determine where the user pattern 660 should be placed in the 3D virtual space, and the process 3D spatial coordinates 690 of the user pattern 660 can be calculated from . The pattern comparator 253 may operate as a black box 670 with the user pattern 660 as an input value and the 3D spatial coordinates 690 as an output value.

As described with reference to FIG. 6, the user's bio-signals collected during the first period are separated according to the characteristics of the bio-signals (blood pressure, pulse, blood sugar) and converted into small patterns, and the small patterns are arranged in a certain order. After being processed into a user pattern, it can be converted into 3D spatial coordinates. The processing method described above makes it possible to completely compare the characteristics of the user's bio-signal with those of other patients, and to easily detect patients having similar bio-characteristics to the user's.

7 is a diagram schematically illustrating another example of a process of generating a 3D pattern by a 3D pattern generating unit using a user's bio-signal.

Referring to FIG. 7 compared with FIG. 6, the 3D pattern generation unit 251 collects three kinds of bio-signals and directly inputs them to the pattern comparison unit 253 without generating small patterns for each type of bio-signal. It can be distinguished from the process described in FIG. 6 in that it is passed by value. In this embodiment, the input value input to the pattern comparison unit 253 is not a pattern in which three small patterns are divided up and down, as shown in FIG. It can be an integrated pattern that can be a basic value of the spatial coordinates 690.

According to the option values preset in the 3D pattern generator 251 and the pattern comparison unit 253, the 3D spatial coordinates 690 for the user's bio-signal are calculated by any one of FIGS. 6 and 7. It can be. In addition, if a comparison target pattern similar to the user pattern 660 is not detected at all after the 3D spatial coordinates 690 are calculated according to the process shown in FIG. 6, subsequently according to the process shown in FIG. 7 A new 3D spatial coordinate 690 may be calculated. In order to implement the above embodiment, two comparison target patterns stored in the database 210 or the pattern comparison unit 253 may correspond to each patient.

8 schematically shows an example of a 3D virtual space in which 3D patterns and patterns to be compared are arranged.

In the 3D virtual space of FIG. 8, patterns to be compared for a plurality of patients are arranged according to respective 3D coordinates, and a user pattern (3D pattern) representing a user may be arranged between the patterns to be compared. there is. Referring to FIG. 8 , it can be seen that a first cluster 810, a second cluster 830, and a third cluster 850 exist in the 3D virtual space, and according to an embodiment, the number of clusters is three. There may be more. For explanation, it is assumed that user patterns are disposed in the first cluster 810 . The 3D virtual space shown in FIG. 8 may be output through the screen of the patient terminal 113 at the user's request for visualization. The patient can visually check where his/her pattern is located in the 3D virtual space through the patient terminal 113, and can easily determine which patient group (patient cluster) the user belongs to.

9 schematically shows an example of cluster summary information.

More specifically, the user may call cluster summary information by applying an input to one of several clusters arranged in the 3D virtual space of FIG. 8 . The processing unit 250 may detect a user's input and control information other than personal information among the input characteristic information of the cluster to be output through the patient terminal 113 .

Referring to FIG. 9, the user applies an input to the third cluster 850 of FIG. 8, the number of the third cluster 850 is 13, and the age distribution of members belonging to cluster 13 is 32 to 47 years old, It can be confirmed that the member's major disease is type 2 diabetes, and the member's hospitalization period ranges from a minimum of 3 months to a maximum of 41 months. Also, according to an embodiment, the number of members belonging to the cluster may be included in the cluster summary information and output. The user can check the summary information of the cluster to which he or she belongs and can easily determine the period of hospitalization or major diseases.

10 is a diagram for explaining an example of similarity determination in a 3D virtual space.

Patterns to be compared and user patterns stored in the database 210 by the pattern comparison unit 253 are projected and arranged in a 3D virtual space according to unique 3D space coordinates. Among them, FIG. 10 shows nodes determined to belong to the first cluster 810 by the similarity determination unit 2551 and the cluster determination unit 2553 included in the comparison target pattern detection unit 255. there is. In FIG. 10, each node represents one of a user, a normal person, and a patient. A node whose identifier consists of six digits means a normal person, and the closer the distance between nodes is, the higher the degree of similarity between nodes. A normal person may be a person who was a patient and remains in the database 210 shortly after recovery is completed.

Analyzing FIG. 10, since user A with node number 65 has 235142, a normal person, at the nearest street, it is determined that he is closer to a normal person than patients 121 and 392, and user B with node number 44 is at the nearest street. Since there is 61, which is a patient, a judgment can be made that it is close to a patient. Here, being closer to a normal person means that the user's body is recovering, and being closer to a patient means that the user needs more time to recover. For convenience of explanation, FIG. 10 has been described based on the distance between nodes in a 2-dimensional space, but when the present invention is actually implemented, since the distance between nodes is calculated in a 3-dimensional space, the short distance shown in FIG. 10 is actually It could be a longer distance.

In addition, since FIG. 10 describes an embodiment of the present invention, those skilled in the art will know that the number and type of nodes located in the 3D space may be different from those of FIG. 10 according to the embodiment. You will understand.

It is convenient for the user to check the visualization data as shown in FIGS. 8 to 10 through the patient terminal 113 and to check whether he is recovering or which cluster he belongs to.

11 is a flowchart illustrating an example of a rescue request method according to the present invention.

Since the method according to FIG. 11 can be implemented by the aid requesting device 200 described in FIGS. 2 and 3 , description will be made with reference to FIGS. 2 and 3 , and redundant descriptions will be omitted. .

The 3D pattern generating unit 251 collects bio signals during the first period using the WD 111 and generates a 3D pattern representing the user (S1110).

The pattern comparison unit 253 compares the three-dimensional pattern with the comparison target patterns calculated for each patient (S1130).

The comparison target pattern detection unit 255 detects at least one comparison target pattern having a similarity equal to or higher than a preset value (S1150).

The aid request determination unit 257 collects bio-signals during the second period, and transmits a aid-request signal to an external terminal when the collected bio-signals exceed a reference value set by the detected pattern to be compared (S1170).

12 is a flowchart illustrating another example of a rescue request method according to the present invention.

Since the method according to FIG. 12 can be implemented by the relief request device 200 described in FIGS. 3, 4, and 8, hereinafter, it will be described with reference to FIGS. 3, 4, and 8, and overlapping Description is omitted.

The 3D pattern generating unit 251 generates a 3D pattern using the user's biological signals during the first period (S1210).

The cluster determining unit 2557 determines a user cluster to which a 3D pattern belongs in the 3D virtual space as shown in FIG. 8 based on the similarity received from the similarity determining unit 2555 (S1220).

The aid request determination unit 257 collects and analyzes the user's bio-signals during the second period, detects that the bio-signals exceed a reference value at a specific time point, and determines that an emergency has occurred (S1230).

After determining that an emergency has occurred, the aid request determination unit 257 determines whether the time when the biosignal exceeds the reference value is the time when the user should take regular medication (S1240), and if it is the regular medication time, the caregiver terminal ( 130) is controlled so that a relief request signal is transmitted (S1250). On the other hand, if it is not a regular medication time, the aid request determination unit 257 transmits a rescue request signal to the medical staff terminal 150, not to the caregiver terminal 130, so that the medical staff can quickly resolve the emergency situation of the patient. (S1260).

The embodiment described with reference to FIG. 12 may be effective in the following situations. Since a caregiver who signs a nursing care contract with a patient and does nursing work is not a medical person, he or she cannot administer medicine to the patient under the Medical Act. However, considering that the patient's movement is difficult or it is difficult for an inpatient patient to judge the elapse of time even if the patient does not have any discomfort in moving, in reality, normal medication behaviors performed on patients (oral administration, application, etc.) ) is usually done and scheduled by the caregiver.

For example, among patients with arrhythmia, tachycardia symptoms occur periodically, and accordingly, an antiarrhythmic drug is orally administered with the help of a caregiver. The aid request determination unit 257 transmits the aid request signal to the terminal used by the caregiver, not the medical staff, so that the caregiver can help the patient orally administer the antiarrhythmic agent. On the other hand, when tachycardia occurs in an arrhythmia patient in a situation other than regular medication time and becomes an emergency situation, the aid request determination unit 257 transmits the aid request signal directly to the medical staff terminal 150 instead of the caregiver terminal 130. , can allow the patient to be cured within the golden hour.

After all, according to an embodiment of the present invention shown in FIG. 12, the cluster to which the user belongs is identified, the emergency situation of the user is determined according to the reference value defined in the cluster, and the regular medication time set in the cluster is determined. Depending on the check condition of, the aid request signal can be properly transmitted. According to the present invention, it is possible to minimize time and cost consumption by calling caregivers and medical staff indiscriminately and redundantly, and by clearly improving the calling procedure of medical staff, when an emergency occurs, medical staff It is possible to easily comply with the golden hour set for each patient.

As an optional embodiment, the aid request determination unit 257 may determine an external terminal to which the aid request signal is transmitted according to the aid measures learned and updated for each cluster. In other words, the aid request judgment unit 257 updates the relief measures set in the cluster using emergency situations occurring for each patient belonging to the cluster and emergency resolution information, thereby reducing human casualties more and more as time goes by. You can implement a way to further reduce it.

For example, when a tachycardia patient among arrhythmia patients has bradycardia symptoms instead of tachycardia, the aid request determination unit 257 transmits a rescue request signal to the medical staff terminal 150 rather than the caregiver terminal 130 even during regular medication administration time. can be made This operating characteristic is derived from the fact that the aid request determination unit 257 learned through the aid measures accumulated in the cluster that when a patient with tachycardia shows bradycardia symptoms, the first priority is to call a medical staff.

As described above, according to the present invention, users are managed in units of clusters, and emergency situations are judged according to criteria set in clusters, so more accurate emergency situations can be determined, and the most appropriate person for an emergency can be selected (caregiver or medical staff). ) can be called.

13 is a flowchart illustrating another example of a rescue request method according to the present invention.

Since the method according to FIG. 13 can be implemented by the relief request device 200 described in FIGS. 3, 4, and 8, hereinafter, it will be described with reference to FIGS. 3, 4, and 8, and overlapping Description will be omitted.

The 3D pattern generating unit 251 generates a 3D pattern using the user's biological signals during the first period (S1310).

The cluster determining unit 2557 determines a user cluster to which a 3D pattern belongs in the 3D virtual space as shown in FIG. 8 based on the similarity received from the similarity determining unit 2555 (S1320).

The rescue request determination unit 257 collects and analyzes the user's bio-signals during the second period, detects that the bio-signals exceed a reference value at a specific time point, and determines that an emergency has occurred (S1330).

After determining that an emergency has occurred, the aid request determination unit 257 determines whether the user has left the safe area, and if so, controls the ambulance terminal 170 to transmit a rescue request signal (S1350). ). On the other hand, if the patient has not left the safe area, the aid request determination unit 257 transmits a rescue request signal to the medical staff terminal 150, not to the ambulance terminal 170, so that the medical staff can quickly resolve the emergency situation of the patient. (S1360). In step S1360, the aid request determination unit 257 may transmit the aid request signal to the caregiver terminal 130 instead of the ambulance terminal 170 through the aid measures set in the cluster or the learned information.

According to the invention described in FIG. 13, if an emergency situation has not only occurred to the user, but also the user moves far away from the safe area, so that the emergency situation cannot be resolved early, an ambulance is quickly called to take the patient to the safe area. By returning, the patient's emergency can be resolved early. In addition, according to the embodiment, steps S1330 and S1340 of FIG. 13 may be determined in the reverse order, and when the patient leaves the safe area, the aid request determination unit 257 corrects the reference value so that an emergency occurs more easily. may be judged to have been. In this case, the patient's safety can be further ensured.

According to the present invention, optimal follow-up measures can be applied to a patient in an emergency situation, so that the patient can quickly escape from the emergency situation.

In addition, according to the present invention, it is possible to accurately analyze the patient's bio-signals collected from the wearable device.

Embodiments according to the present invention described above may be implemented in the form of a computer program that can be executed through various components on a computer, and such a computer program may be recorded on a computer-readable medium. At this time, the medium is a magnetic medium such as a hard disk, a floppy disk and a magnetic tape, an optical recording medium such as a CD-ROM and a DVD, a magneto-optical medium such as a floptical disk, and a ROM hardware devices specially configured to store and execute program instructions, such as RAM, flash memory, and the like.

Meanwhile, the computer program may be specially designed and configured for the present invention, or may be known and usable to those skilled in the art of computer software. An example of a computer program may include not only machine language code generated by a compiler but also high-level language code that can be executed by a computer using an interpreter or the like.

Specific implementations described in the present invention are examples and do not limit the scope of the present invention in any way. For brevity of the specification, description of conventional electronic components, control systems, software, and other functional aspects of the systems may be omitted. In addition, the connection of lines or connecting members between the components shown in the drawings are examples of functional connections and / or physical or circuit connections, which can be replaced in actual devices or additional various functional connections, physical connection, or circuit connections. In addition, if there is no specific reference such as “essential” or “important”, it may not be a component necessarily required for the application of the present invention.

In the specification of the present invention (especially in the claims), the use of the term “above” and similar indicating terms may correspond to both singular and plural. In addition, when a range is described in the present invention, as including the invention to which individual values belonging to the range are applied (unless there is a description to the contrary), each individual value constituting the range is described in the detailed description of the invention Same as Finally, unless an order is explicitly stated or stated to the contrary for the steps constituting the method according to the present invention, the steps may be performed in any suitable order. The present invention is not necessarily limited according to the order of description of the steps. The use of all examples or exemplary terms (eg, etc.) in the present invention is simply to explain the present invention in detail, and the scope of the present invention is limited due to the examples or exemplary terms unless limited by the claims. it is not going to be In addition, those skilled in the art can appreciate that various modifications, combinations and changes can be made according to design conditions and factors within the scope of the appended claims or equivalents thereof.

20: management server
110: patient terminal group
111: WD, wearable device
113: patient terminal
130: caregiver terminal
150: Terminal
170: ambulance terminal
190: communication network
200: aid request device
210: database
230: communication department
250: processing unit
253: pattern comparison unit
251: 3D pattern generator
255: comparison target pattern detection unit
257: aid request judgment department
270: output unit
2551: similarity judgment unit
2553: cluster judgment unit
2555: similarity judgment unit
2557: cluster judgment unit
2571: New vital signal collection unit
2573: reference value determination unit
2575: comparison operation unit
2577: external terminal determination unit
2579: relief signal generating unit

Claims (15)

As a relief request method based on biosignals collected by a wearable device,
collecting bio-signals of a user during a first period from a wearable device and generating a three-dimensional pattern representing the user based on the collected bio-signals;
collecting bio-signals of a plurality of patients and comparing comparison target patterns calculated for each patient with the generated three-dimensional pattern;
Based on the comparison result, detecting at least one comparison target pattern having a similarity to the generated three-dimensional pattern or more than a predetermined value among the calculated comparison target patterns; and
The user's bio-signal is collected from the wearable device for a second period, and when the bio-signal collected during the second period exceeds a reference value set by the detected pattern to be compared, a relief request signal is transmitted to an external terminal. Relief request method based on the biosignal collected by the wearable device, comprising the step of doing. According to claim 1,
The user,
An inpatient receiving nursing care from a caregiver;
The external terminal,
A rescue request method based on biosignals collected by a wearable device, which is a caregiver terminal used by the caregiver. According to claim 1,
Comparing with the generated three-dimensional pattern,
Compare the distance between the 3-dimensional pattern and the comparison target pattern located on a 3-Dimension Virtual Space, and calculate a similarity as a result of the comparison,
The calculated similarity is,
A method for requesting aid based on biosignals collected by a wearable device, in which a higher value is calculated as the distance is closer. According to claim 1,
Comparing with the generated three-dimensional pattern,
A wearable device that processes a 3D virtual space in which the generated 3D pattern and the pattern to be compared are disposed at different locations as visualization data, and controls the processed visualization data to be output to a user terminal used by the user. Relief request method based on vital signs collected by According to claim 4,
Comparing with the generated three-dimensional pattern,
Responding to the visualization request received from the user terminal, controlling the processed visualization data to be output to the user terminal, a relief request method based on bio-signals collected by the wearable device. According to claim 1,
The user,
An inpatient receiving nursing care from a caregiver;
The external terminal,
A method of requesting aid based on bio-signals collected by a wearable device, which is either one of a caregiver terminal used by a caregiver with whom a care contract is established with the inpatient and a medical staff terminal used by the medical staff in charge of the inpatient. According to claim 1,
The number of wearable devices is at least two, a rescue request method based on biosignals collected by wearable devices. According to claim 1,
The wearable device,
A rescue request method based on biological signals collected by a wearable device, including a communication module capable of communicating independently without going through a user terminal used by the user. According to claim 1,
The wearable device,
A rescue request method based on biosignals collected by a wearable device, including an identification code identifiable by a telecommunications company server. According to claim 1,
The biosignal is
A rescue request method based on a biosignal collected by a wearable device, which is a signal for at least one of the user's blood pressure, pulse rate, and blood sugar. According to claim 1,
The biosignal is
A method for requesting relief based on a biosignal collected by a wearable device, which is a signal for at least one of the user's systolic blood pressure, diastolic blood pressure, pulse rate, and blood sugar. According to claim 1,
The step of generating the three-dimensional pattern,
After it is determined that the user is a verified user, the three-dimensional pattern is generated with the collected biosignals, based on the biosignals collected by the wearable device. According to claim 1,
The step of generating the three-dimensional pattern,
A rescue request method based on biosignals collected by a wearable device, generating the three-dimensional pattern only when the biosignals are collected beyond a predetermined reference time. A computer-readable recording medium storing a program for executing the method according to any one of claims 1 to 13. a communication unit that communicates with the wearable device and the owner's terminal; and
Including; processing unit for processing the data received by the communication unit and the data to be transmitted,
The processing unit,
Collecting bio-signals of a user during a first period from the wearable device and generating a three-dimensional pattern representing the user based on the collected bio-signals;
Collecting the bio-signals of a plurality of patients and comparing the comparison target patterns calculated for each patient with the generated three-dimensional pattern,
Based on the comparison result, detecting at least one comparison target pattern having a similarity to the generated three-dimensional pattern and a predetermined value or more among the calculated comparison target patterns;
The user's bio-signal is collected from the wearable device for a second period, and when the bio-signal collected during the second period exceeds a reference value set by the detected pattern to be compared, a relief request signal is transmitted to an external terminal. A relief request device based on bio-signals collected by wearable devices.

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