KR102008784B1 - Smart bed system using grid form deployment of pressure sensors - Google Patents

Abstract

Smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, by receiving the pressure sensor data output from the smart mattress unit and the plurality of pressure sensors are disposed a plurality of pressure sensors as a grid A smart bed including at least one IoT controller for outputting data on a posture pattern of a bed user through a wireless network; Determining a posture pattern of a bed user by extracting a posture pattern of a bed user based on data on a posture pattern of a bed user received from the at least one IoT controller and comparing the extracted posture pattern with a pre-stored normalized posture pattern. Monitoring system; And a cloud network for delivering a bed user's posture pattern determined by the monitoring system to a mobile device of a bed user's caregiver, caregiver or nurse, and to the nurse, caregiver or caregiver immediately in real time to the bed user's posture pattern. By letting the user know that there is an effect that can prevent the second disease or fall accidents such as bedsores that a bed user can come by taking the same posture on the bed for a long time.

Description

Smart bed system using lattice-like arrangement of pressure sensors {SMART BED SYSTEM USING GRID FORM DEPLOYMENT OF PRESSURE SENSORS}

The present invention relates to a smart bed system for monitoring a person's posture in real time, and more specifically, to monitor the posture of a person by placing a Force Sensing Resistor (FSR) pressure sensor in the shape of a grid on the bed to the user's posture. According to the pressure generated according to the user's posture pattern is extracted, and compared with the defined pattern to determine the position of the user in the bed, and transmits it by communication to provide information for patient management including the elderly It relates to a smart bed system using a grid-like arrangement of the pressure sensor to.

In Korea, the elderly medical facilities and the elderly welfare facilities have been steadily increasing. However, the rapid growth of this silver industry with respect to elderly care institutions is still insufficient in all respects, especially in terms of management. In a typical problem, more than 80% of these cases account for the development of bedsores and falls in elderly patients.

In other words, because the elderly or patients in the elderly nursing homes or medical institutions in the same posture for a long time in the bed, bedsores or weak elderly people or patients fall out of bed and falling accidents are greatly increasing.

KR 10-2011-0069332 A

[1] Yeon-ok Hwang, Geriatric Care Facilities recent trends in risk management, Journal of the Korean Gerontological Society, Vol. 26, No. 3 (2006) pp.505-520 [2] Eun-sook Kwon, “Study on the knowledge of bedsores care of a hospital nurse, recognition and execution”, Hanyang University Graduate School of Public Administration, Master's Thesis (2005). [3] A. Pantelopoulos and N.s G. Bourbakis, A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis, IEEE Trans. on Systems, Man, and Cybernetics, (2010), Vol. 40, no. 1, pp. 1-10. [4] S.M.R. Islam, D. Kwak, H. Kabir, M. Hossain, and K. Kwak, The Internet of Things for Health Care: A Comprehensive Survey, IEEE Access, (2015), Vol. 3, pp. 678-708. [5] M. C. Domingo, An Overview of the Internet of Things for People with Disabilities, Journal of Network and Computer Applications, (2012), Vol. 35, No. 2, pp. 584-596.

The problem to be solved by the present invention is a bed user for a certain period of time, such as bed sores caused by the elderly or patients who are uncomfortable in a nursing facility, hospital, etc. If you are lying in the same position while you are in the same position to the guardian or nurse in real time to correct the bed user's posture to prevent the occurrence of bedsores, or to prevent the fall of the bed user falling from the bed while waking up or change posture To do this, by placing a plurality of pressure sensors in the shape of a grid on the bed mattress, it measures the posture of the bed user in real time, by recognizing the movement pattern on the user's bed to inform the nurse or protection personnel the status in real time Accidents such as bedsores and falls To provide a smart bed system using a grid-like arrangement of the pressure sensor to.

Smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention for solving the above problems,

At least one IoT control unit for receiving a pressure sensor data output from the smart mattress unit and a plurality of pressure sensors are arranged in a grid-like overall configuration and outputs data on the posture pattern of the bed user via a wireless network Including smart bed;

Determining a posture pattern of a bed user by extracting a posture pattern of a bed user based on data on a posture pattern of a bed user received from the at least one IoT controller and comparing the extracted posture pattern with a pre-stored normalized posture pattern. Monitoring system; And

And a cloud network for transferring the posture pattern of the bed user determined by the monitoring system to the mobile device of the caregiver, caregiver or nurse of the bed user.

In the smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, the monitoring system,

A normalized posture pattern storage unit for storing the normalized posture pattern; And

Based on the data on the posture pattern of the bed user received from the at least one IoT controller, the posture pattern of the bed user is extracted and the extracted posture pattern is compared with the normalized posture pattern stored in the posture pattern storage unit. It may include a monitoring unit for determining the posture pattern.

In addition, in the smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, the monitoring unit calculates the duration of the pressure on a specific body position of the bed user,

When the duration of the pressure on the specific body position of the bed user exceeds a predetermined time, the bed user's bedsores danger signal may be transmitted to the mobile device.

In addition, in the smart bed system using the grid-like arrangement of the pressure sensor according to an embodiment of the present invention, the type of the posture of the bed user, the lying down posture, lying sideways, sitting posture, edge of the bed It may include a posture positioned in and a posture in bed.

In addition, in the smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, the monitoring unit, when the bed user wakes up from the bed and is positioned on the edge of the bed, the bed to the mobile device The user can be transmitted a danger signal of falling.

In addition, in the smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, the plurality of pressure sensors are grouped into a plurality of sub-groups,

Each of the IoT controllers receives pressure sensor data output from the pressure sensors of each subgroup, and outputs data on a posture pattern of a bed user through a wireless network.

The monitoring system,

Integrating the data on the posture pattern of the bed user received from each IoT control unit to extract the posture pattern of the bed user and to compare the extracted posture pattern with the pre-stored normalized posture pattern to determine the posture pattern of the bed user have.

In addition, in the smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, the monitoring system, the bed based on the data on the posture pattern of the bed user received from the at least one IoT control unit A posture pattern of a bed user may be determined by extracting a posture pattern of the user, smoothing the extracted posture pattern, and comparing the smoothed posture pattern with a pre-stored normalized posture pattern.

In addition, in the smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, the pressure sensor disposed in the grid-shaped is called one cell, the cell to which a predetermined pressure is applied is activated cell When the cell to which pressure is not applied is called an empty cell,

The smoothing may be performed by connecting activated cells that are not connected to horizontally or vertically activated cells and are isolated to the entire pattern to which the activated cells are connected.

According to the smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, by using a pressure sensor arranged in a grid shape, using a smart mattress unit consisting of a smart mattress and the grid-type pressure sensor It recognizes the posture pattern of the bed user and immediately informs the nurse, caregiver or guardian of the condition in real time to prevent secondary diseases or fall accidents such as bedsores that the bed user may come from taking the same posture on the bed for a long time. It can work.

In addition, according to the smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, when the bed user is on the bed in the same posture for a long time, the behavior pattern of the bed user to recognize the mobile device of the guardian or nurse By calling the guardian or nurse through a mobile device to correct the posture of the bed user, thereby preventing the bedsores of the bed user.

In addition, according to the smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, by recognizing the behavior pattern on the bed of the bed user, the bed user moves the bed on the bed, such as wake up and wake up In order to prevent falls from falling, when a bed user takes an abnormal action, the fall accident can be prevented by providing information to the guardian or nurse in real time through a mobile device.

In addition, according to the smart bed system using the grid-like arrangement of the pressure sensor according to an embodiment of the present invention, since the posture pattern of the bed user is recognized, and informs the status to the nurse, caregiver or guardian in real time, nursing facility, Even in places where nursing and protective personnel are lacking, such as hospitals, bedsores or falls of bed users such as the elderly and patients who are inconvenient to move can be effectively prevented.

In addition, according to the smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, by installing only the smart mattress unit in which the pressure sensor is arranged in a grid form to the general bed to fully utilize the functions of the present invention. Because of this, application to existing beds is simple and easy.

1 shows a pressure sensor arranged in a grid of 4x4 size;
2 shows a pressure sensor arranged in two groups.
3 is a diagram showing the distribution of pressure applied to the smart cushion, Figure 3 (a) is the distribution of pressure when sitting in the correct position, Figure 3 (b) of the pressure when sitting in the wrong position Figure showing the distribution.
4 is a view showing the overall system structure of the smart bed system using the grid-like arrangement of the pressure sensor according to an embodiment of the present invention.
5 is a diagram illustrating an FSR pressure sensor for a smart bed arranged in a grid in a smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention.
FIG. 6 is a diagram illustrating a recognized pattern when lying down in a standing position, and illustrates a pattern before smoothing is performed. FIG.
FIG. 7 is a diagram showing a recognized pattern when lying sideways, showing a pattern before smoothing is performed. FIG.
8 is a diagram illustrating a smoothing process for a recognized pattern when lying down in a standing position.
9 shows a smoothing process for a recognized pattern when lying sideways.
(A) of FIG. 10 is a recognized pattern when a person having a normal body shape leans forward, FIG. 10 (b) is a recognized pattern when a person having a dry body body leans up an attitude, and FIG. 10 (c) ) Is a diagram showing a recognized pattern when a person having an obese body shape is lying down.
(A) of FIG. 11 is a recognized pattern when a person having a normal body shape is lying sideways, FIG. 11 (b) is a recognized pattern when a person having a skinny body type is lying sideways, and (c) of FIG. ) Shows a recognized pattern when a person having an obese body shape is laid on its side.

The objects, specific advantages and novel features of the present invention will become more apparent from the following detailed description and the preferred embodiments associated with the accompanying drawings.

Prior to this, the terms or words used in this specification and claims are not to be interpreted in a conventional and dictionary sense, and the inventors may appropriately define the concept of terms in order to best describe their own invention. It should be interpreted as meanings and concepts corresponding to the technical idea of the present invention based on the principles.

In the present specification, in adding reference numerals to the components of each drawing, it should be noted that the same components as possible, even if displayed on different drawings have the same number as possible.

In addition, terms such as “first”, “second”, “one side”, “other side”, etc. are used to distinguish one component from another component, and the component is limited by the terms. It is not.

In the following description, detailed descriptions of related well-known techniques that may unnecessarily obscure the subject matter of the present invention will be omitted.

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

The main goal of the smart bed system using the grid-like arrangement of the pressure sensor according to an embodiment of the present invention is to prevent falls accidents in bedsores and / or beds.

Smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention implements an IoT (Internet of Things) based smart bed system to help caregivers, nurses or carers caring for elderly patients with mobility impairment.

To prevent pressure sores, it is not meaningful to measure the pressure in areas that move frequently, such as arms or legs. Smart bed systems will pay attention to known points where pressure sores often occur: the back of the head, scapula, microprotrusions, elbows, iliac crests, sacrum, pubis, Achilles tendon, and heel. Therefore, it is effective to use a sensor that can measure the pressure generated in a specific area rather than a large area.

To prevent falls, you need to know where the patient is lying in bed. The position of a person lying in bed is limited to normal posture, lying sideways, bent and sitting.

When a series of pressure sensors are placed in a grid, the smart bed can easily extract the patient's posture in a specific pattern. Therefore, the patient's posture can be quickly identified by comparing the pattern extracted from the pressure sensors arranged in a grid shape with the previously stored posture pattern of the patient.

The smart bed system using the grid-like arrangement of the pressure sensor according to an embodiment of the present invention proposes a method of identifying a posture in which a patient or an elderly person is lying in a bed by using a new sensor array and a pattern matching algorithm arranged in a grid-like manner. do.

FSR  Sensor and its placement

The design goal of the smart bed system using the lattice arrangement of the pressure sensor according to one embodiment of the present invention for sensor placement is to use the minimum number of sensors to detect the pressure of all possible body positions.

Depending on the part of your body, there are areas where accurate pressure measurements are required and areas that do not. For example, instead of measuring the pressure in certain parts of the head and lower body (ie, legs), it is only necessary to measure whether pressure is generated. On the other hand, for the central body, pressure must be measured precisely around the specific location where pressure sores often occur.

For the response characteristics of a typical force sensing resistor (FSR) sensor, the measured resistor output voltage increases with increasing force. The pressure range of the sensor is 0.1-10.2 ² N. Unit N represents Newton.

There are two types of FSR sensors: strip and square. The general dimensions of the strip sensor FSR-408 are 610 mm x 5 mm. This sensor is used to detect whether pressure is occurring. That is, with a relatively small number of sensors it is possible to detect a wide area of pressure. Thereby only the strength of the pressure is known, while the exact location of the pressure is unknown. To predict where the pressure is generated, two strip-type sensors are required.

The general dimensions of the square sensor FSR-406 are 38 mm x 38 mm. This sensor is used to accurately measure the pressure in a specific area. This makes it possible to know the exact position where the pressure occurred.

One possible method for sensor placement is to place pressure sensors according to the average body shape of each age group. However, since this method changes the measurement position of the pressure sores that occur frequently according to the patient's body type, it is necessary to readjust the position of the sensor according to the patient.

Another method is to arrange the FSR sensor in a lattice structure. Regardless of the size of the body, it is possible to know whether pressure is occurring in a particular area and when the pressure is generated. When a set of FSR sensors are placed in a grid pattern, the patient's posture can be easily extracted in a specific pattern.

Suitable sensors for placement in a grid pattern are square type FSR sensors. Because of the limited posture in bed, the patient's posture can be quickly identified by comparing the extracted pattern with a predetermined patient posture. 1 shows an exemplary FSR sensor arrangement of a 4x4 grid pattern.

Work of the present invention Example  Structure of Smart Bed System Using Lattice Layout of Pressure Sensor

The main purpose of the smart bed system using the grid-like arrangement of the pressure sensor according to an embodiment of the present invention is to help caregivers to care for elderly patients who are not free to move. In the case of a smart bed, a set of pressure sensors installed under the mattress cover measures the pressure intensity due to the weight of the patient lying in the bed. Smart beds can obtain information about the pressure intensity at points or parts of the patient's body. This information can be used to determine the patient's posture, such as lying down or lying sideways, and the duration of pressure for a particular body position. Based on this knowledge, the smart bed system may inform the caregiver (or his / her mobile device 414) to prevent bedsores and / or fall accidents in the bed, as shown in FIG. 4.

Determination of patient's lying position

Smart Cushion Implementation

In order to verify the efficiency of grid-based FSR sensor placement, we implemented a smart cushion to identify the sitting position of the chair. Suppose a smart cushion is in a chair and a person is sitting on the cushion. Under the cushion, 16 FSR sensors are arranged in a 4x4 grid. It's easy to tell if a person is sitting in the right place.

Smart Cushion determines that a person is sitting when pressure is detected on at least four sensors. In addition, to distinguish the seating position, the FSR sensor set installed in the smart cushion is divided into two logical subgroups as shown in FIG. 2. The number of sensors sensing the pressure between the sensors 200 belonging to the left subgroup is counted. Likewise, the number of sensors that sense the pressure between the sensors 202 belonging to the right subgroup is counted.

If the pressure is biased in either of the two groups, it is determined that the person is sitting in a position biased in that subgroup. If the number of FSR sensors detected in the two subgroups is the same, it is determined that the person is sitting in the correct position.

The smart cushion system visualizes the strong pressure in red and the relatively weak pressure in green according to the pressure as shown in FIG. 3. Therefore, it is possible to know where the pressure is applied.

Work of the present invention Example  Implementation of Smart Bed System Using Lattice Layout of Pressure Sensor

The smart bed system using the lattice arrangement of the pressure sensor according to one embodiment of the invention is considered an extended version of the smart cushion. The layout of the lattice structure does not change, but the size is changed to extend in the horizontal or vertical direction.

4 is a view showing the overall system structure of the smart bed system using the grid-like arrangement of the pressure sensor according to an embodiment of the present invention.

4, the smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, a plurality of smart mattress unit 400 and the plurality of pressure sensors 416 are disposed in a grid shape as a whole The smart bed 404 including the first and second IoT controllers 402_1 and 402_2 for receiving pressure sensor data output from the pressure sensor 416 of the wireless network and outputting data on a posture pattern of the bed user through a wireless network. Based on the data about the posture patterns of the bed users received from the first and second IoT controllers 402_1 and 402_2, the posture patterns of the bed users are extracted and compared with the pre-stored normalized posture patterns. A monitoring system 410 for determining a posture pattern of a bed user, and a posture pattern of a bed user determined by the monitoring system 410 Cloud network 412 for delivery to a user's caregiver, caregiver, or nurse's mobile device 414.

The monitoring system 410 may include a normalized posture pattern storage unit 406 for storing the normalized posture pattern and a posture pattern of a bed user received from the first and second IoT controllers 402_1 and 402_2. A monitoring unit 408 for determining a posture pattern of a bed user by extracting a posture pattern of a bed user based on the data and comparing the extracted posture pattern with a normalized posture pattern stored in the posture pattern storage unit 406. do.

In order to enable the detection of a posture pattern even if some of the pressure sensors 416 arranged in a grid shape fail and to minimize the time required for the posture pattern detection, the plurality of pressure sensors 416 may include a first sub. It is grouped into two groups, a pressure sensor 418 of the group and a pressure sensor 420 of the second subgroup, and the first IoT controller 402_1 is a pressure output from the pressure sensor 418 of the first subgroup Receives sensor data and outputs data on a posture pattern of a bed user through a wireless network, and the second IoT controller 402_2 receives the pressure sensor data output from the pressure sensor 420 of the second subgroup. Outputs data about the posture pattern of the bed user through the wireless network.

When the bed user lies on the smart mattress unit 400, pressure sensor data indicating that pressure is applied from a pressure sensor to which pressure is applied among the plurality of pressure sensors 416 arranged in a grid shape is generated.

The first IoT controller 402_1 receives the pressure sensor data output from the pressure sensor 418 of the first subgroup, outputs data on a posture pattern of a bed user through a wireless network, and the second IoT controller 402_2 receives the pressure sensor data output from the pressure sensor 420 of the second subgroup and outputs data on the posture pattern of the bed user through the wireless network.

The monitoring system 410 extracts a bed user's posture pattern by integrating data on a posture pattern of a bed user received from the first and second IoT controllers 402_1 and 402_2, respectively, and smoothes the extracted posture pattern. The posture pattern of the bed user is determined by comparing the smoothed posture pattern with a pre-stored normalized posture pattern.

When the pressure sensor disposed in the grid shape is called a cell, a cell to which a predetermined pressure is applied is called an activated cell, and a cell to which pressure is not applied is called an empty cell, the smoothing is performed horizontally or vertically. It is performed by connecting activated cells that are not connected to the activated cells and are isolated to the entire pattern to which the activated cells are connected. Smoothing will be described later.

The type of posture of the bed user includes a right lying posture, a side lying posture, a sitting posture, a posture at the edge of the bed and a posture at the bed.

On the other hand, the monitoring unit 408 calculates the duration of the pressure on the specific body position of the bed user, if the duration of the pressure on the specific body position of the bed user exceeds a predetermined time, the cloud network 412 Through the bed of the bed user's bedsores dangerous signal is transmitted to the mobile device 414.

In addition, the monitoring unit 408, when the bed user wakes up from the bed and is located at the edge of the bed, via the cloud network 412 transmits a bed user falling risk signal to the mobile device 414.

As shown in Figure 5, in the smart mattress unit 500 in the smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, seven FSR-406 sensors are disposed in the horizontal direction, vertical 14 sensors are arranged in the direction. Thus, all 98 pressure sensors 502 are arranged in a 7 × 14 grid array. The sensors are also grouped into sensors 504 of the first subgroup and sensors 506 of the second subgroup.

Smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention meets the standard requirements of 1,895 cm x 850 cm, the size of the medical bed. This embodiment is for elderly patients with a height of 150 cm to 180 cm.

When the patient is in bed, each pressure sensor cell 502 arranged in a grid senses the pressure. According to the result of the sensed pressure, the structure of the pressure sensor cell 502 arranged in a grid shape generates a specific pattern and then compares it with a predetermined pattern stored in the normalized posture pattern storage 406. For a more accurate comparison, a smoothing process is performed to adjust the irregular grid during the pattern extraction process.

The smart bed system using the lattice arrangement of the pressure sensor according to an embodiment of the present invention can also know the duration of the pressure on a specific body position. Based on this knowledge, the smart bed system using the grid-like arrangement of the pressure sensor according to one embodiment of the present invention can inform the caregiver to prevent bedsores and / or falls from the bed.

Smart bed system using the grid-like arrangement of the pressure sensor according to an embodiment of the present invention monitors the position of the patient every minute. However, as the likelihood of a fall accident or the occurrence of pressure sores increases, the measurement period is shortened to less than 30 seconds.

6 illustrates a recognized pattern when the patient is lying on the smart bed in a normal posture. Note that the recognized pattern needs to be smoothed before the pattern matching process.

On the other hand, the pattern recognized when the patient is lying on the smart bed in a side bent position is shown in FIG. For clarity, gray cells turn red only when the pressure is above a certain level.

The smoothing algorithm is used to smooth the result to compare with a predefined pattern. The purpose of the smoothing algorithm is to find isolated cells and connect them to the entire pattern. If cells are not connected horizontally or vertically to adjacent cells, they are recognized as isolated cells. In order to connect the isolated cells to the entire pattern, the cells are connected by changing the color of empty cells one by one in the horizontal and vertical directions.

8 and 9 illustrate a smoothing process applied to a pattern for recognizing a normal lying posture and a lying posture by bending sideways, respectively.

It can be seen that cells isolated in the order of (a), (b), (c) of FIG. 8 and (a), (b), (c) of FIG. 9 are sequentially connected to the entire pattern.

Experiment result

In order to evaluate the performance of the attitude determination algorithm for the smart bed system using the grid-like arrangement of the pressure sensor according to an embodiment of the present invention, an experiment was performed with three male participants. The physical characteristics of the three participants are summarized in Table 1. The participant's height is similar but the weight is different.

Participant Height (cm) Weight (kg) Standard body type 177 75 Skinny 178 58 Obese body 174 88

The experiment was performed when each participant was in the upright position and bent to the side. 10 and 11 show patterns of three participants recognized when lying down in a normal posture and lying down sideways.

Figure 10 (a) is a standard body type of person lying directly to a normal posture, (b) a skinny person lying directly to a normal position, and (c) an obese body type lying directly to a normal posture If the pattern is recognized.

FIG. 11A illustrates a case in which a standard body person leans to the side, (b) a person of skinny person leans to the side, and (c) a person of obesity body shape to lie down sideways. The pattern is shown.

It can be seen that there is a big difference in the shape of the recognized pattern according to the participant's body size. Especially in the sideways bent position, the three perceived patterns are completely different.

Table 2 shows the pattern matching rate and the posture determination. As shown in Table 2, the accuracy of the posture determination was very high in the case of a person who is generally a standard body type. However, in skinny and obese people, the accuracy of identification was somewhat lower when lying sideways.

posture
Participant % Match
decision normal Bend to the left Bending to the right
Normal posture Standard chechen 84.09 70.45 59.09 normal Skinny 86.49 64.86 72.97 normal Obese body 82.22 66.67 68.89 normal

Bent posture Standard chechen 87.8 56.1 92.68 Bending to the right Skinny 84.0 96.0 76.0 Bend to the left Obese body 90.63 87.5 78.13 normal

conclusion

In the smart bed system using the lattice-shaped arrangement of the pressure sensor according to an embodiment of the present invention, the smart bed system for arranging the FSR sensor in a lattice form to determine a patient's posture in real time. When using the sensor array in the shape of a grid, there is a great advantage in determining the lying position of the patient without having to readjust the sensor array regardless of the patient's body size.

In the smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention, the pattern is extracted depending on whether pressure is generated when a person is lying down. By comparing the extracted pattern with one of the normalized posture patterns stored in the system, the posture of the patient can be quickly identified. You can also see how long a person is lying in a particular position.

Smart bed system using a grid-like arrangement of the pressure sensor according to an embodiment of the present invention can distinguish the lying position regardless of the size of the human body. As a result, the participants of the standard body type had a high discrimination rate regardless of the normal posture and the bent posture. However, the skinny and obese people had slightly lower discrimination in the bent position.

Although the present invention has been described in detail with reference to specific examples, it is intended to describe the present invention in detail, and the present invention is not limited thereto. It will be clear that the modification and improvement are possible by this.

All simple modifications and variations of the present invention fall within the scope of the present invention, and the specific scope of protection of the present invention will be apparent from the appended claims.

200, 504: pressure sensor of the first subgroup
202, 506: pressure sensor of the second subgroup
400, 500: Smart mattress unit 402_1: First IoT controller
402_2: second IoT controller 404: smart bed
406: Normalized posture pattern storage unit 408: Monitoring unit
410: monitoring system 412: cloud network
414: mobile device 416: pressure sensor

Claims (8)

At least one IoT control unit for receiving a pressure sensor data output from the smart mattress unit and a plurality of pressure sensors are arranged in a grid-like overall configuration and outputs data on the posture pattern of the bed user via a wireless network Including smart bed;
Determining a posture pattern of a bed user by extracting a posture pattern of a bed user based on data on a posture pattern of a bed user received from the at least one IoT controller and comparing the extracted posture pattern with a pre-stored normalized posture pattern. Monitoring system; And
A cloud network for delivering the posture pattern of the bed user determined by the monitoring system to a mobile device of a caregiver, a caregiver or a nurse of the bed user,
The posture pattern of the bed user,
Lying down, lying sideways, sitting, at the edge of the bed, and in bed,
The monitoring system,
When the bed user wakes up from the bed and is located at the edge of the bed, the bed user transmits a fall danger signal of the bed user,
The plurality of pressure sensors are grouped into a plurality of subgroups,
Each of the IoT controllers receives pressure sensor data output from the pressure sensors of each subgroup, and outputs data on a posture pattern of a bed user through a wireless network.
The monitoring system,
Integrating the data on the posture pattern of the bed user received from each IoT control unit to extract the posture pattern of the bed user and to compare the extracted posture pattern with a pre-stored normalized posture pattern, and determine the posture pattern of the bed user,
The monitoring system,
Extract the posture pattern of the bed user based on the data on the posture pattern of the bed user received from the at least one IoT controller, smooth the extracted posture pattern, and compare the smoothed posture pattern with a pre-stored normalized posture pattern. To determine the posture pattern of the bed user,
When the pressure sensor arranged in the grid shape is called a cell, a cell to which a predetermined pressure is applied is called an activated cell, and a cell to which pressure is not applied is called an empty cell,
The smoothing is performed by connecting activated cells that are not connected to horizontally or vertically activated cells and are isolated to the entire pattern to which the activated cells are connected.
The monitoring system connects the cells by changing the color of empty cells one by one in the horizontal and vertical directions to connect the isolated activated cells to the entire pattern,
The monitoring system,
A normalized posture pattern storage unit for storing the normalized posture pattern; And
Based on the data on the posture pattern of the bed user received from the at least one IoT controller, the posture pattern of the bed user is extracted and the extracted posture pattern is compared with the normalized posture pattern stored in the posture pattern storage unit. Smart bed system using a grid-like arrangement of the pressure sensor, including a monitoring unit for determining the posture pattern. delete The method according to claim 1,
The monitoring unit calculates the duration of the pressure on the specific body position of the bed user,
When the duration of the pressure on the specific body position of the bed user exceeds a predetermined time, the smart bed system using a grid-like arrangement of the pressure sensor for transmitting a danger signal of the bedsore of the bed user to the mobile device. delete delete delete delete delete

Images