WO2020096079A1

WO2020096079A1 - System for monitoring dementia patient in real time

Info

Publication number: WO2020096079A1
Application number: PCT/KR2018/013423
Authority: WO
Inventors: 서보성; 박세영
Original assignee: (주)에프에스알엔티
Priority date: 2018-11-07
Filing date: 2018-11-07
Publication date: 2020-05-14

Abstract

Disclosed is a system for monitoring a dementia patient in real time. A system for monitoring a dementia patient in real time according to an embodiment of the present invention comprises: an analysis unit which determines the behavior pattern of a patient by comparing and analyzing a variation in predetermined value and a variation in value that is sensed by a wearable device equipped with a gravitational acceleration sensor, a pressure sensor, a Gyro sensor, and a wireless communication module; a fall detection unit which generates a fall detection signal when a variation in gravitational acceleration, sensed by the wearable device, is a first value or greater within first time, and transmits same to a user terminal; a bedsore detection unit which generates a bedsore detection signal when variations in pressure and angular velocity, sensed by the wearable device, are not a second value or greater within second time, and transmits same to the user terminal; a location detection unit which analyzes the location of the patient from multiple internal detection beacons connected to the wearable device; and an escape detection unit which generates an escape detection signal including an escape onset location and escape onset time, when the wearable device is connected to escape detection beacons arranged outside, and transmits same to the user terminal.

Description

Real-time monitoring system for dementia patients

The present invention relates to a dementia patient real-time monitoring system, and more particularly, to a dementia patient real-time monitoring system that monitors a dementia patient's condition in real time wearing a wearable device.

With the recent rapid progress of population aging, patients with senile diseases such as dementia are rapidly increasing. In particular, since the incidence of dementia is higher than the rate of increase in the elderly population, the protection and management of patients with dementia is a social issue.

According to one statistic, the social cost to care for one dementia patient is 1968 million won per year, and the time required to care for one dementia patient is 6 to 9 hours a day. The total social cost of caring for patients with dementia is estimated to be astronomical cost of 1.3 trillion won per year.

As such, there is a problem that taking care of the dementia patient takes not only the personal cost and time of the dementia patient or the guardian, but also the socially astronomical cost.

In order to solve this problem, it is necessary to study a dementia patient real-time monitoring system that can reduce the time and cost of caring for patients because it includes functions such as the current location of the dementia patient and a notification in an emergency.

The present invention provides a real-time monitoring system for dementia patients that improves the care efficiency of medical personnel and carers by checking the condition of the dementia patient in real time, providing appropriate nursing and dosing times, emergency response methods, and rehabilitation program management. .

The present invention provides a real-time monitoring system for dementia patients that prevents falls and bedsores of dementia patients by analyzing behavior patterns of dementia patients using an acceleration sensor.

The present invention provides a dementia patient real-time monitoring system capable of preventing discharge of dementia patients by determining a patient's location by connecting a wearable device worn by a dementia patient and a specific beacon.

The dementia patient real-time monitoring system according to an embodiment of the present invention compares and analyzes a change in the sensed value and a change in a preset value through a wearable device equipped with a gravity acceleration sensor, a pressure sensor, a gyro sensor, and a wireless communication module. An analysis unit that understands a patient's behavior pattern, a fall detection unit that generates a fall detection signal and transmits it to a user terminal when a change in the gravitational acceleration sensed by the wearable device changes more than a first value within a first time, the wearable When a change in pressure and angular velocity sensed through the device does not change more than a second value within a second time, a pressure sores detection unit that generates a pressure sores detection signal and transmits it to a user terminal, from a plurality of internal detection beacons connected to the wearable device A position detection unit that analyzes the patient's location and a discharge detection ratio provided outside If the device is connected to the wearable, it is possible to generate a detection signal containing the talwon talwon generation position, talwon occurrence time comprise a de-wongam portion that transmits to the user terminal.

According to an aspect of the present invention, the analysis unit determines the emergency situation by comparing and analyzing the values of the sensors sensed by the wearable device and a preset value, and according to the type and risk of the emergency, an emergency with a response manual is included Signals can be generated and transmitted to the user terminal.

According to an aspect of the present invention, the position detection unit may analyze the patient's movement path and movement distance measured through the wearable device to measure the patient's activity amount, and generate an exercise prescription corresponding to the activity amount.

According to one aspect of the present invention, the fall detection unit may generate a fall distribution by calculating the frequency of the point where the fall occurred, and the roaming detection unit may move and move the patient's movement path equipped with the wearable device for a predetermined time. The distance can be analyzed and displayed on a map, and a frequency distribution can be generated by calculating the frequency of the points where the plurality of patients have been located.

According to an aspect of the present invention, the fall detection unit may generate a fall risk signal when the patient is located at a point above a predetermined level in which the fall frequency step is set, and transmit the fall risk signal to the user terminal. Corresponding to this, the layout plan data may be generated, and the generated layout plan data may be transmitted to the user terminal.

According to one embodiment of the present invention, dementia patients to improve the care efficiency of medical personnel and carers by checking the condition of dementia patients in real time, providing appropriate nursing and dosing times, emergency response methods, and rehabilitation program management, etc. A real-time monitoring system is provided.

According to an embodiment of the present invention, by using an acceleration sensor, by analyzing the behavioral pattern of dementia patients, there is provided a real-time monitoring system for dementia patients to prevent falls and bedsores.

According to an embodiment of the present invention, a real-time monitoring system for a dementia patient is provided to prevent dementia patients from being discharged by determining a patient's location by connecting a wearable device worn by a dementia patient and a specific beacon.

1 is a diagram illustrating a process in which information of a patient with dementia is transmitted to a user terminal according to an embodiment of the present invention.

2 is a block diagram showing the configuration of a real-time monitoring system for dementia patients according to an embodiment of the present invention.

3 is a view showing an example of changes in the gravitational acceleration of a patient with dementia according to an embodiment of the present invention.

4 is a view showing an example of monitoring a real-time fall of a patient with dementia according to an embodiment of the present invention.

5 is a view showing an example of monitoring the fall history of dementia patients according to an embodiment of the present invention.

6 is a view showing an example of monitoring the fall distribution of dementia patients according to an embodiment of the present invention.

7 is a view showing an example in which a beacon for detecting the position of a patient with dementia according to an embodiment of the present invention is located.

8 is a view showing an example of monitoring by measuring a movement path and a movement distance of a dementia patient according to an embodiment of the present invention.

9 is a view showing an example of monitoring the distribution of the dementia patients dementia according to an embodiment of the present invention.

10 is a view showing an example in which a beacon detecting the discharge of dementia patients according to an embodiment of the present invention is located.

Hereinafter, embodiments of the present invention will be described in detail with reference to the contents described in the accompanying drawings. However, the present invention is not limited or limited by the embodiments. The same reference numerals in each drawing denote the same members.

Dementia is not only a patient's personal illness, but also needs to be handled by everyone in the family because it requires more intensive and long-term care than other physical disorders. Emotional and economic burdens and deterioration of relationships with dementia patients also change personal and family life.

This family burden affects the entire family, including those who care for people with dementia, and excessive burdens can lead to depression, elder abuse, abandonment, or death in the family caring for the patient.

Therefore, the present invention is an invention designed to relieve the burden on these families, and the configuration of the present invention will be described in detail below.

Referring to FIG. 1, the beacon 300 is transmitted through a wireless communication module embedded in the wearable device 200 by reading values such as gravity acceleration, pressure, and angular velocity sensed through the wearable device 200 worn by the user. Via, it is transmitted to the dementia patient real-time monitoring system 100.

The dementia patient real-time monitoring system 100 analyzes the patient's state and location through the value sensed by the wearable device 200 and the location of the beacon 300 connected to the wearable device 200 to analyze the user's terminal 400 By sending it to, the patient's condition and location can be monitored in real time without having to be next to the patient.

At this time, the user terminal 400 may be a terminal of a user who needs to quickly check the patient's condition, such as a guardian or a medical staff.

2 is a block diagram showing the configuration of a dementia patient real-time monitoring system 100 according to an embodiment of the present invention.

Referring to FIG. 2, the dementia patient real-time monitoring system 100 includes an analysis unit 110, a fall detection unit 120, a pressure sore detection unit 130, a position detection unit 140, and a discharge detection unit 150. It can contain.

The analysis unit 110 compares and analyzes a change in a sensed value and a change in a preset value through a wearable device 200 equipped with a gravity acceleration sensor, a pressure sensor, a gyro sensor, and a wireless communication module, and analyzes a patient's behavior pattern. Can grasp.

In this case, the wearable device 200 includes a gravity acceleration sensor, a pressure sensor, a gyro sensor, and a wireless communication module, as well as a blood pressure sensor measuring a patient's blood pressure, a temperature sensor measuring a patient's temperature, a breathing sensor measuring a patient's breathing, etc. The same sensors can also be mounted.

An embodiment of the operation of the analysis unit 110 that identifies and analyzes a patient's behavior pattern with the values sensed through the wearable device 200 will be described in detail with reference to FIG. 3 below.

Referring to FIG. 3, a behavior pattern of the patient may be predicted by a change in gravitational acceleration measured by the wearable device 200.

For example, when the gravity value measured by the wearable device 200 worn by the patient descends between 0.6g and 0.8g, and increases to a value between 1.6g and 1.8g within a predetermined time, the analysis unit ( In step 110), if it is determined that the patient is left, and gravity rises to a value between 1.2g and 1.3g and then falls to a value between 0.6g and 0.7g within a predetermined time, the analysis unit 110 It can be judged that the patient is standing.

In addition, the analysis unit 110 determines the emergency situation by comparing and analyzing the values of the sensors sensed by the wearable device 200 and a preset value, and according to the type and risk of the emergency, a response manual is included. An emergency signal may be generated and transmitted to the user terminal 400.

As an example, when the patient is collapsed with vagus neural syncope, the change in gravity acceleration, blood pressure, and respiratory value measured by the wearable device 200 is compared with the data set in the analysis unit 110 and the patient is diagnosed with vagus neural syncope. By determining the fall, by comparing the gravitational acceleration, blood pressure, and breathing values, assigns a risk, and generates an emergency signal including a response manual for the risk and vagus syncope, and transmits it to the user terminal 400 , The guardian or medical staff can confirm that the patient has passed out, and can provide emergency treatment according to the patient's condition.

Referring back to FIG. 2, when the change in the gravitational acceleration sensed through the wearable device 200 changes more than a first value within a first time, the fall detection unit 120 generates a fall detection signal to generate a user terminal ( 400).

For example, when the gravity measured by the wearable device 200 worn by the patient as shown in FIG. 3 suddenly decreases to a value between 0 g and 0.3 g, the patient falls in the fall detection unit 120 It can be determined, and transmits a danger signal of falling to the user terminal 400, so that a guardian or a medical staff can identify a patient who has fallen.

In addition, the fall detection unit 120 may generate a fall distribution by calculating the frequency of the point where the fall occurred, and when the patient is located at a point where the fall frequency step is more than a predetermined level, the fall risk signal is generated. It can be transmitted to the user terminal 400.

One embodiment of the fall detection unit 120 will be described in detail with reference to FIGS. 4 to 6 below.

4 is a view showing an example of monitoring the fall of a dementia patient according to an embodiment of the present invention, Figure 5 is a view showing an example of monitoring the fall history of a dementia patient according to an embodiment of the present invention, Figure 6 Is a diagram showing an example of monitoring the fall distribution of dementia patients according to an embodiment of the present invention.

Referring to FIG. 4, the fall detection unit 120 detects a fall, transmits a fall detection signal to the user terminal 400 in real time, and the user terminal 400 can check the fall state of the patient in real time. .

Referring to FIG. 5, when the fall detection unit 120 detects a fall and transmits a fall detection signal to the user terminal 400, the user terminal 400 transmits the fall detection signal to the patient information and Saved as time, the medical staff can check the patient's fall history status, and the medical staff can prevent a patient from falling by taking appropriate measures for a patient who frequently falls.

Referring to FIG. 6, the fall detection unit 120 analyzes the fall detection signal, calculates a fall frequency at a point where a fall occurs, and generates a fall distribution map, and the generated fall distribution map of the user terminal 400 Can be transferred to.

The fall distribution diagram may be expressed in a predetermined color when the fall frequency is greater than or equal to a preset fall frequency level so that it is possible to easily identify a point where the fall occurs frequently.

In addition, when the patient is located at a point above a predetermined fall frequency step, the fall detection unit 120 transmits a fall risk signal to the user terminal 400, so that a guardian and a medical staff can prevent the patient from falling. Take action.

Referring back to FIG. 2, when the pressure pressure and angular velocity changes sensed through the wearable device 200 do not change by more than a second value within a second time, the pressure sores detection unit 130 generates a pressure sores detection signal to generate a user It can be transmitted to the terminal 400.

That is, if the pressure and angular velocity values sensed by the wearable device 200 worn by the patient do not change, it means that the patient does not move, so the pressure and angular velocity values of the patient do not change more than a certain value during the risk of pressure sores If not, the pressure sores detection unit 130 determines that the patient's current condition is pressure sores, generates a pressure sores detection signal, and transmits the generated pressure sores detection signal to the user terminal 400 to be a guardian and a medical staff. Allows the patient to take measures to prevent the patient's pressure sores.

The location detecting unit 140 may analyze the location of the patient from a plurality of internal detection beacons 300 connected to the wearable device 200.

At this time, the internal detection beacon may be interpreted as a beacon located inside the hospital, and the discharge detection beacon described later may be interpreted as a beacon located outside the hospital.

In addition, the position detection unit 140 may analyze the patient's movement path and movement distance measured through the wearable device 200 to measure the patient's activity amount, and generate an exercise prescription corresponding to the activity amount, , Analysis of a patient's movement path and a movement distance equipped with the wearable device 200 for a predetermined time is displayed on a map, and a frequency distribution of the points where the plurality of patients are located can be calculated to generate a distribution distribution.

It is possible to calculate a roaming frequency step based on the roving distribution diagram, generate batch planning data corresponding to the roving frequency step, and transmit the generated batch planning data to the user terminal.

One embodiment of the position detecting unit 140 will be described in detail with reference to FIGS. 7 to 9 below.

7 is a view showing an example in which a beacon detecting a position of a patient with dementia according to an embodiment of the present invention is located, and FIG. 8 is an example of monitoring by measuring a movement path and a distance of a dementia patient according to an embodiment of the present invention 9 is a view showing an example of monitoring the distribution of the distribution of dementia patients according to an embodiment of the present invention.

Referring to FIGS. 7 and 8, the current position of the patient is calculated based on the position of the internal sensing beacon 300 connected to the wearable device 200 mounted by the patient, and the distance the patient has moved for a certain period of time And by transmitting a signal including a path to the user terminal 400, the user terminal 400 can check the path the patient has moved and the distance moved according to the path.

In addition, the position detecting unit 140 extracts the patient's activity amount through the movement distance of the patient, generates an exercise prescription corresponding to the patient's activity amount, transmits it to the user terminal 400, and Through the user terminal 400, guardians and medical personnel may recommend exercise suitable for the patient.

Referring to FIG. 9, the position detecting unit 140 calculates a path that a plurality of patients have moved, generates a distribution distribution chart, transmits the generated distribution distribution chart to the user terminal 400, and the user terminal ( Through the distribution distribution diagram transmitted to 400), the medical staff can check at a glance where the patient is located and where the patient is not located.

In addition, through the generated distribution map, the position detection unit 140 generates placement plan data corresponding to the frequency of roaming and transmits it to the user terminal 400, thereby allowing the medical staff to arrange convenience facilities and medical staff. It can be set appropriately for the above-mentioned batch planning data.

For example, if the patient frequency step of point a is set to 2 steps (50 to 150 times), and the patient frequency step of point b is set to 7 steps (1200 to 1400 times), the position detecting unit 140 ) Generates a batch planning data for one convenience facility and one medical staff deployment at point a, and transmits it to the user terminal 400 so that the medical staff can perform one convenience facility and one medical staff deployment at point a. Then, at point b, three convenience facilities and five placements of medical staff are generated and transmitted to the user terminal 400, so that the medical staff can perform three convenience facilities and five placements at point b. Can be.

Referring back to FIG. 2, when the wearable device 200 is connected to the discharge detection beacon 300 provided outside, the discharge detection unit 150 generates a discharge detection signal including a discharge location and a discharge time. It can be transmitted to the user terminal 400.

One embodiment of the discharge detection unit 150 will be described in detail with reference to FIG. 10 below.

Referring to FIG. 10, the discharge detection beacon 300 may be classified into a safety stage discharge detection beacon and a danger stage beacon.

When the patient's wearable device 200 is connected to the safety-stage discharge detection beacon 300, an initial discharge detection signal is generated, transmitted to the user terminal 400, and the location of the patient is transmitted through the user terminal 400. Can grasp.

At this time, there may be a case that may be connected to use exercise and convenience facilities, the user terminal 400 does not transmit a signal containing an alarm.

When the patient's wearable device 200 is connected to the danger level discharge detection beacon 300, a discharge detection signal is generated, transmitted to the user terminal 400, and the patient's discharge location through the user terminal 400 And discharge time.

At this time, since the patient is likely to have been discharged, a signal including an alarm is transmitted to the user terminal 400, so that the guardian and the medical staff can immediately find the patient.

According to an embodiment of the present invention as described above, by checking the condition of the patient with dementia in real time, by providing an appropriate nursing and dosing time, emergency response methods, rehabilitation program management, improve the care efficiency of medical personnel and carers A real-time monitoring system for dementia patients is provided.

In addition, according to an embodiment of the present invention, by using an acceleration sensor, by analyzing the behavioral pattern of the dementia patient, a real-time monitoring system of a dementia patient is provided to prevent a fall and pressure sores.

In addition, according to an embodiment of the present invention, by providing a wearable device worn by a patient with dementia and a specific beacon to determine a patient's location, a real-time monitoring system for a patient with dementia is provided to prevent dementia patients from being discharged.

In addition, the real-time monitoring system for dementia patients according to an embodiment of the present invention may be recorded in a computer-readable medium including program instructions for performing various computer-implemented operations. The computer-readable medium may include program instructions, data files, data structures, or the like alone or in combination.

The media may be program instructions specially designed and constructed for the present invention, or may be known and usable by those skilled in computer software. Examples of computer-readable recording media include hard disks, floppy disks and magnetic tapes and magnetic media, optical recording media such as CD-ROMs, DVDs, magnetic-optical media such as floptical discs, and ROM, RAM, flash memory, etc. Hardware devices specifically configured to store and execute program instructions are included. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, etc., as well as machine language codes produced by a compiler.

As described above, although one embodiment of the present invention has been described by a limited embodiment and drawings, one embodiment of the present invention is not limited to the above-described embodiment, which is a general knowledge in the field to which the present invention pertains. Various modifications and variations can be made by those who have this description. Accordingly, one embodiment of the present invention should be understood only by the claims set forth below, and all equivalents or equivalent modifications thereof will be said to fall within the scope of the spirit of the present invention.

100: dementia patient real-time monitoring system

110: analysis unit

120: fall detection unit

130: bedsore detection unit

140: position detection unit

150: discharge detection unit

200: wearable device

300: beacon

400: user terminal

Claims

`An analysis unit that compares and analyzes a change in the sensed value and a change in a preset value through a wearable device equipped with a gravity acceleration sensor, a pressure sensor, a gyro sensor, and a wireless communication module;

A fall detection unit that generates a fall detection signal and transmits it to a user terminal when a change in the gravitational acceleration sensed through the wearable device changes more than a first value within a first time;

A pressure sores detection unit that generates a pressure sores detection signal and transmits it to a user terminal when a change in pressure and angular velocity sensed through the wearable device does not change more than a second value within a second time;

A position detection unit for analyzing the position of the patient from a plurality of internal detection beacons connected to the wearable device; And

When the wearable device is connected to a beacon that is provided on the outside, a discharge detection unit that generates a discharge detection signal including a discharge occurrence location and a discharge occurrence time and transmits it to the user terminal;

Real-time monitoring system for dementia patients, including.
According to claim 1,

The analysis unit,

Comparing and analyzing the numerical value of the sensors sensed by the wearable device and a predetermined value to determine an emergency situation, and generating an emergency signal including a response manual and transmitting it to the user terminal according to the type and risk of the emergency situation Characterized by dementia patient real-time monitoring system.
According to claim 1,

The position detection unit,

A real-time monitoring system for dementia patients characterized in that by analyzing a patient's movement path and a movement distance measured through the wearable device, the patient's activity amount is measured, and an exercise prescription corresponding to the activity amount is generated.
According to claim 1,

The position detection unit,

Analyze the patient's movement path and movement distance measured through the wearable device

To measure the patient's activity and generate an exercise prescription corresponding to the activity

Real-time monitoring system for dementia patients, characterized in that.
The method of claim 4,

The fall detection unit,

When the patient is located at a point where the fall frequency step is greater than or equal to a predetermined level, a fall risk signal is generated and transmitted to a user terminal, and the position detection unit generates batch planning data corresponding to the roving frequency step, and the generated Real-time monitoring system for dementia patients, characterized in that for transmitting the batch planning data to the user terminal.