KR20170139260A - Apparutus for preventing fall, system including the apparutus and method for preventing fall - Google Patents

Abstract

A fall preventing system is provided. The system includes: a control device which analyzes a position of a person to be monitored on a bed by using a distribution pattern of sensors sensing the pressing of the person to be monitored located on the bed, and predicts a fall risk of the person to be monitored based on a location analysis result; a management server which receives fall risk prediction result information from the control device through wired and wireless communication networks and manages the fall prevention of the person to be monitored based on the received result information; and a terminal which receives the result information from the management server through the wired and wireless communication networks and displays the received result information on a display screen. Accordingly, the present invention can prevent the person from falling on the bed in advance.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a fall prevention apparatus,

The present invention relates to a fall prevention system, and more particularly, to a fall prevention system for preventing falls in a bed.

In recent years, as the utilization rate of a bed has increased, a user has fallen into the ground unintentionally from the bed while sleeping, and a bed fall accident frequently occurs. Especially, infants, elderly people, patients using beds, Observation of the guardian is necessary.

In order to prevent such a bed fall, there is a bed provided with a side rail for preventing separation. However, such a bed is mainly used as a hospital bed, and in most ordinary household beds, a side rail is not provided.

Even in the case of a bed provided with a separation preventing side rail, the side rails can be released freely according to the user's convenience. Therefore, there is a limit in preventing a bed falling accident in a state in which the side rails are released. Therefore, it is urgent to develop a system that can prevent a bed fall accident.

In order to solve the above-mentioned problems, it is an object of the present invention to provide a fall prevention system and method which can prevent a bed fall accident.

According to an aspect of the present invention, there is provided a fall prevention system for analyzing a position of a person to be monitored on a bed using a distribution pattern of sensors that detect a depression of a monitoring subject placed on a bed, A controller for predicting a risk of falling of the monitoring subject based on the analyzed result; A management server receiving information on the result of prediction of the falling risk from the control device through a wired / wireless communication network and managing fall prevention of the monitoring subject based on the received result information; And a terminal receiving the result information from the management server through the wired / wireless communication network and displaying the received result information on a display screen.

According to another aspect of the present invention, there is provided a fall prevention apparatus comprising: a sensor pad including a plurality of sensors for outputting a sensing signal corresponding to a pressing of a monitoring subject placed on a bed; And a controller for predicting a risk of falling of the monitoring subject using a distribution pattern of sensors for outputting the sensing signal.

According to another aspect of the present invention, there is provided a fall prevention method comprising: outputting a sensing signal corresponding to a pressing of a monitoring target by a plurality of sensors installed on a bed; Estimating a risk of falling of the monitoring subject using a distribution pattern of sensors outputting the sensing signal; The management server receiving the result information of the fall risk prediction from the control device and managing fall prevention of the monitoring subject based on the received result information; And displaying the result information on the display screen of the terminal so that the terminal receives the result information from the management server and the user of the terminal monitors the result information.

According to the present invention, it is possible to transmit sensed information sensed by a sensor for detecting the movement (posture, position) of a child, a patient, and an elderly person to a bed in real time to a management server and a terminal, It is possible to quickly recognize the case where the fall is predicted from the fall, thereby preventing the fall accident in advance.

1 is a block diagram showing the overall configuration of a fall prevention system according to an embodiment of the present invention.
Fig. 2 is a perspective view showing the installation structure of the sensor pad shown in Fig. 1. Fig.
3 is a plan view of the sensor pad shown in Fig.
4 is a cross-sectional view taken along the line I-I 'of Fig. 3
5 is a block diagram showing an internal configuration of the control apparatus shown in Fig.
FIGS. 6 to 9 are diagrams schematically illustrating examples of first to fourth reference distribution patterns, which are compared with actual distribution patterns of sensors that sense the pressing of a monitoring subject according to an embodiment of the present invention.
10 to 12 are views showing execution screens of an application module installed in the terminal shown in FIG.
13 is a flowchart showing a fall prevention method using the fall prevention system shown in FIG.

Best Mode for Carrying Out the Invention Various embodiments of the present invention will be described below with reference to the accompanying drawings. The various embodiments of the present invention are capable of various changes and may have various embodiments, and specific embodiments are illustrated in the drawings and the detailed description is described with reference to the drawings. It should be understood, however, that it is not intended to limit the various embodiments of the invention to the specific embodiments, but includes all changes and / or equivalents and alternatives falling within the spirit and scope of the various embodiments of the invention. In connection with the description of the drawings, like reference numerals have been used for like elements.

Which may be used in various embodiments of the invention. Or "comprising" or " comprising ", when used herein, refers to the presence of a corresponding function, operation or component, etc., and does not limit the invention to one or more additional features, acts or components. Furthermore, in various embodiments of the present invention, the term "comprises" Or "have." , Etc. are intended to designate the presence of stated features, integers, steps, operations, components, components, or combinations thereof, may be combined with one or more other features, integers, steps, operations, elements, It should be understood that they do not preclude the presence or addition of combinations.

1 is a block diagram showing the overall configuration of a fall prevention system according to an embodiment of the present invention.

1, a fall prevention system 100 according to an embodiment of the present invention includes a sensor pad 110, a controller 130, a communication network 150, a management server 170, and a terminal 190 . On the other hand, in the claims appended hereto, the "fall prevention apparatus" is configured to include only the sensor pad 110 and the control apparatus 130.

 The sensor pad 110 may include a plurality of sensors arranged in a matrix form to detect the position of the monitoring object on the front surface of the bed (or the mattress for the bed) and output the detection result as a sensing signal. Each sensor may be, for example, a sensor that senses the pressing of the body part of the person to be monitored against the bed, and converts the sensed pressure into an electrical signal for output. The bed may be a household bed (household mattress) or a hospital bed (hospital mattress). The subject to be monitored may be a patient who is hospitalized in an elderly, infant, or hospital who has an uncomfortable mobility, and may include a general person who is not inconvenienced.

The controller 130 may be wired or wirelessly connected to the sensor pad 110 so as to communicate with the sensor pad 110 to receive the sensing signal from the sensor pad 110. In this embodiment, the communication connection between the controller 130 and the sensor pad 110 is assumed to be a wire. However, when wirelessly connecting the controller 130 and the sensor pad 110, RFID (Radio Frequency IDentification) technology can be used. When RFID technology is used, each sensor included in the sensor pad 110 functions as an RFID tag, and the controller 130 functions as an RFID reader. When each sensor functions as a tag, the sensing signal output from each sensor may be configured to include identification data capable of identifying itself.

The control device 130 analyzes the position of the monitoring target object on the bed (or the mattress for the bed) based on the sensing signal received from the sensor pad 110. As a result of the analysis, And is located in a falling accident dangerous zone.

As a result of the determination, when the monitoring subject is located in the risk area of the fall accident (the peripheral region of the bed), the control device 130 is configured to output an alarm notifying the risk of the user's fall, Announces the risk of falls.

In addition, the controller 130 analyzes the position and the posture of the user on the front surface of the bed (or the mattress for a bed), predicts falling according to the position, and then analyzes and predicts the results of the analysis based on wired or wireless communication To the management server 170 and the terminal 190. [ In the present embodiment, it is assumed that the terminal 190 receives analysis and prediction results via the management server 170. [

The communication network 150 provides a communication path between the control device 130 and the management server 170 and between the control device 130 and the terminal 190. The communication network 150 includes all kinds of communication resources supporting wired communication and wireless communication . Here, the communication resource may be a base station, a router, a gateway, a cable, or the like.

The management server 170 collects and analyzes the positional information of the monitoring subject received from the control device 130 through the communication network 170 and analyzes the positional information of the monitored subject on the front face of the bed (or bed mattress) the risk of falling is transmitted to the terminal 190 owned by the guardian of the monitoring target person in the case of a falling accident dangerous zone.

The terminal 190 may be a communication device connectable to a communication network. Here, the communication device may be, for example, a smart phone, a tablet personal computer, a mobile phone, a video phone, an e-book reader, a desktop personal computer A laptop personal computer, a netbook computer, a personal digital assistant (PDA), a portable multimedia player (PMP), an MP3 player, a mobile medical device, a camera, or a wearable device (E.g., a head-mounted-device (HMD) such as electronic glasses, an electronic garment, an electronic bracelet, an electronic necklace, an electronic app apparel, or a smart watch).

The user of the terminal 190 may be the guardian of the monitoring target person or the monitoring person himself. The caregiver includes the family member of the person being monitored, a relative who is in close contact, or a caregiver.

The terminal 190 collects the positional information of the monitoring target person in real time from the control device 130 through the communication network 150 and provides the collected information to the user. Also, the terminal 190 may receive a warning message from the controller 130 to inform the user of the dangerous situation in which the fall of the monitoring subject is predicted, and may provide the warning message to the user. Such a warning message may be provided in the form of a pop-up window.

The terminal 190 is provided with an app module related to fall prevention in order to provide the user with a warning message informing the position information of the monitoring subject and the risk of a fall accident on the entire surface of the bed.

The terminal 190 may communicate with the management server 170 via the communication network 150. [ In this case, the terminal 190 may receive a warning message informing the location information of the monitoring target person and the risk of a fall risk of the monitoring target person through the management server 170. [

Hereinafter, the main components 110, 130, and 190 shown in FIG. 1 will be described in more detail.

The sensor pad (110)

2 is a plan view of the sensor pad shown in FIG. 2, and FIG. 4 is a cross-sectional view taken along the line I-I 'of FIG. 3 to be. For ease of understanding, in Figures 2 and 4, the sensor pads are represented by an exaggerated thickness.

2 to 4, the sensor pad 110 may be disposed on the mattress 50 for the bed, and may have a size enough to cover all the areas of the mattress 50.

The sensor pad 110 includes a plurality of sensors SE arranged in a matrix form.

The sensor pad 110 includes an upper pad 112 and a lower pad 116 and an intermediate pad 114 interposed between the upper pad 112 and the lower pad 116. In order to implement the plurality of sensors SE, ).

The upper pads 112 are arranged in a matrix and are configured to include a plurality of upper electrodes 12 to which electrical signals are applied from the controller 130.

The lower pad 116 is configured to include a plurality of lower electrodes 16 disposed at positions facing the plurality of upper electrodes 12, respectively. Accordingly, the plurality of lower electrodes 16 are also arranged in a matrix form.

The intermediate pad 114 is an elastic material and has a plurality of openings OP arranged in a matrix. Each of the openings OP is disposed between the upper electrode 12 and the lower electrode 16. Accordingly, the plurality of openings OP are also arranged in a matrix form. This opening OP provides a space for forming a physical contact between the upper electrode 12 and the lower electrode 16. [ The upper electrode 12 and the lower electrode 16 arranged in the upper and lower structures with the opening OP therebetween are embodied as a single sensor SE.

The operation principle of the sensor SE is as follows.

The intermediate pad is contracted and moved toward the lower electrode 16 when a pressure (or pressing) sufficiently larger than the elastic force of the elastic material constituting the intermediate pad 114 is applied to the upper electrode 12, OP), the upper electrode 12 and the lower electrode 16 are electrically connected to each other.

Then, the electric signal applied to the upper electrode 12 is transmitted to the lower electrode 16, and the lower electrode 16 transmits the transmitted electric signal as a sensing signal corresponding to the pressure (load of the monitoring object) To the control device 130.

As will be described in detail below, the control device 130 analyzes the position and attitude of the monitoring subject on the front of the bed based on the sensing signals from the sensors SE, and based on the analysis results, .

The control device 130,

5 is a block diagram showing an internal configuration of the control device 130 shown in FIG.

5, the controller 130 includes a signal generator 131, a signal collector 132, a controller 133, a storage 134, an output 135, and a communication unit 136 .

The signal generating unit 131 generates an electric signal for each of the sensors SE included in the sensor pad 110 to perform the sensing operation and outputs the generated electric signal And outputs them to the sensors SE.

The signal collecting unit 132 may be a buffer for periodically collecting the sensing signals output from the sensors SE in accordance with the operation control of the control unit 133 and may be a buffer, And provides it to the control unit 133.

The control unit 133 may be referred to as a so-called microcontroller unit (MCU), which controls the overall operation of the above-described configurations 131, 132, 134, 135 and 136.

The control unit 133 analyzes the position and attitude of the user on the front of the bed based on the sensing signals collected from the sensors SE and determines the risk of falling of the monitoring subject based on the analysis result.

Specifically, the control unit 133 determines a distribution pattern indicating how the sensors SE outputting the sensing signals based on the position information allocated to the respective sensors SE on the front surface of the bed are distributed in the front surface of the bed Analyze. The analyzed distribution pattern can be changed into image type data that virtualizes the monitoring target.

The control unit 133 analyzes the posture and the position of the monitoring object on the bed based on the analyzed distribution pattern, and generates posture information and position information. The generated posture information and position information are stored in the storage unit 134.

The controller 133 compares the distribution pattern of the sensors that sensed the pressure with the reference distribution pattern, and predicts a dangerous situation in which a fall of the monitoring subject is expected.

The control unit 133 performs a series of processing tasks for notifying the management server 170 and / or the user terminal 190 of the prediction results via wired / wireless communication.

The reference distribution pattern is data obtained by previously learning the distribution pattern in which the fall of the monitoring subject is predicted, which can be obtained through experiments and / or simulations.

The reference distribution pattern may be configured to include a plurality of reference distribution patterns that are classified stepwise according to the degree of fall risk, and may be configured to include, for example, first through fourth reference distribution patterns.

The first reference distribution pattern is a reference distribution pattern that is compared with the actual distribution pattern of the sensors that senses the pressure to recognize that the monitoring subject is in the safety state. The first reference distribution pattern detects the pressure when the monitoring subject is located in the safe area in front of the bed The distribution pattern of one sensor (SE) is learned. Here, the safe area is defined as the center area C when the front surface of the bed is divided into a central area (C in Fig. 3) and a peripheral area surrounding the central area (C in Fig. 3). The area of the peripheral region P is determined according to the area of the central region C. [ The central area C may be set to an area that completely covers the monitoring target. The area of the central area C may be variously set according to at least one of the age of the person to be monitored and the area of the bed. In the case where the area of the central region C is set according to the age of the monitoring subject, the area of the central region C, which is set when the monitoring target person is an infant, Can be set smaller than the area.

The second reference distribution pattern is a reference distribution pattern that is compared with the actual distribution pattern of the sensors that senses the pressure in order to recognize that the monitoring subject is in a state of caution, The distribution pattern of the sensors SE sensing the pressure in the central region C is determined by the distribution pattern of the sensors SE sensing the pressure in the peripheral region P. In this case, SE).

The third reference distribution pattern is a reference distribution pattern that is compared with the actual distribution pattern of the sensors that senses the pressure in order to recognize that the monitoring subject is in a warning state. Similarly to the setting method of the second reference distribution pattern, The distribution pattern of the sensors SE sensing the pressure in the central region C and the peripheral region P is learned. Is different from the method of setting the second reference distribution pattern in that the second reference distribution pattern is set to be smaller than the distribution of the sensors SE that sense the pressure in the peripheral region P. [

The fourth reference distribution pattern is a reference distribution pattern that is compared with the actual distribution pattern of the sensors that senses the pressure in order to recognize that the monitoring subject is in a dangerous state. And the distribution pattern of the sensors SE. Here, the fourth reference distribution pattern assumes that the distribution ratio between the distribution in the center region (C) and the distribution in the peripheral region (P) is 1: 9 or more.

The controller 133 performs processing tasks for predicting the dangerous situation using the first to fourth reference distribution patterns previously learned. For example, when the actual distribution pattern of the sensors sensed by the pressure and the first reference distribution pattern The current situation of the monitoring target person is set as a safety situation, and when the actual distribution pattern and the second standard distribution pattern are matched with each other, the current situation of the monitoring target person is set as a state of caution, and the actual distribution pattern and the third standard distribution pattern are matched , A process of predicting and judging the present situation of the monitoring target person as a dangerous situation is performed when the current situation of the monitoring target person is a warning situation, and when the actual distribution pattern and the fourth standard distribution pattern are matched .

Meanwhile, in order to minimize an error occurring in the process of predicting a fall, the controller 133 performs a processing task of predicting fall risk by making a matching ratio with an actual distribution pattern different for each of the first to fourth reference distribution patterns .

6 to 9 illustrate examples of the first to fourth reference distribution patterns. FIG. 6 shows an example of a first reference distribution pattern for predicting a stable situation, and FIG. FIG. 8 shows an example of a third reference distribution pattern for predicting a warning situation. In FIG. FIG. 9 shows an example of a third reference distribution pattern for predicting a dangerous situation.

In a situation where the monitoring subject is located in the central region C of the bed, that is, in a situation where the probability of falling is lowest, even if there is an error in the process of predicting the dangerous situation by the control unit 133, .

However, in a situation where the monitoring subject is located in the peripheral region P of the bed, that is, in a situation in which the probability of occurrence of a fall is highest, the control unit 133 should minimize the error in the process of predicting the dangerous situation. Thus, the error rate of judgment is minimized by setting the matching ratio between the actual distribution pattern and each reference distribution pattern stepwise lower in descending order of the fall occurrence probability.

The storage unit 134 stores the attitude information and the position information of the monitoring subject generated by the control unit 133 and stores the reference distribution pattern provided to the control unit 133 in accordance with the instruction of the control unit 133, And a non-volatile memory.

The output unit 135 outputs, under the control of the control unit, the degree of dangerous situation of the monitored subject predicted and determined by the control unit 133, in the form of visual or auditory information. To this end, the output unit 135 may be configured to include an audio output unit, a digital output unit, and the like, though not shown in the figure. The audio output unit outputs a message indicating the degree of dangerous situation in audio form, and the audio output unit may be, for example, a speaker. The digital output unit outputs a message indicating the degree of a dangerous situation in a digital form. The digital output unit may display a message indicating the degree of a dangerous situation, for example, text, graphics, Output LED, and the like.

 The communication unit 136 is configured to communicate with the management server 170 and the terminal 190 connected to the communication network 150 under the control of the control unit 133 the attitude information of the monitoring target person, Information and the like in real time to support wired and wireless communication. Here, the wireless communication may be a wireless communication, for example, wireless fidelity (WFI), Bluetooth (BT), near field communication (NFC), global positioning system (GPS), or cellular communication (e.g., LTE, LTE-A, CDMA, WCDMA, UMTS, WiBro or GSM, etc.). The wired communication may include at least one of, for example, a universal serial bus (USB), a high definition multimedia interface (HDMI), a recommended standard 232 (RS-232) or a plain old telephone service (POTS). When the management server 170 is a server provided in a hospital, the communication unit 136 may be connected to a nurse call device provided in each hospital room so as to be able to communicate with each other via wired or wireless communication.

10 to 12 are views showing execution screens of a fall prevention app linked with a control device or a management server, which are installed in the terminal shown in Fig.

The execution screen of the application module installed in the terminal 190 can be largely configured to include an authentication screen, a list screen of a monitoring target person, and individual screens of a specific monitoring target person.

First, an example of the authentication screen is as shown in FIG. The authentication screen is an execution screen provided for the user of the terminal 190 to perform the authentication procedure so that the user of the terminal 190 can access the management server 170. The authentication screen includes an area 61 for inputting a user's name, And an area 65 for inputting the authentication number received from the authentication server 63 and the management server 170. [

The user of the terminal 190 enters his or her name and mobile phone number into the corresponding areas 61 and 63 and touches the authentication number dispatch button 67 to transmit a message requesting the authentication number to the management server do.

Thereafter, when the terminal 190 receives the authentication number from the management server 170, the terminal 190 inputs the received authentication number into the corresponding area 65, touches the authentication completion button, and transmits the authentication number to the management server 170 do. The management server 170 confirms whether or not the authentication number is received from the terminal 190 within the set time, and then confirms the reception of the authentication number, thereby completing a series of authentication procedures for the user.

An example of the list screen of the monitoring target person is as shown in Fig. When a series of authentication procedures for the user is completed, a list of the monitoring subjects registered in the management server 170 is provided to the terminal 190. The list screen of the monitoring subjects includes a list of monitoring subjects provided from the management server 170 .

The list shown in FIG. 11 is a patient list, in which case the fall prevention application is assumed to be installed in a terminal of a hospital official. Here, the hospital personnel may be doctors, nurses, caregivers, and the like.

In each list, the name of the person to be monitored (or an ID) is displayed together with the state of the control device 130 being used by the corresponding monitoring person. When the user touches the specific monitoring target person himself / herself to check, the list screen is switched to the individual screen of the specific monitoring target person.

The individual screen of the specific monitoring target person is as shown in Fig. Individual screens of a specific monitoring target person can be configured to include five display areas. In the first area 81, an icon (<) for moving to the previous list screen is displayed along with a "status display" of the current screen. The management server 170, the control unit 130, the terminal 190, and the management server 170, together with the name of the specific monitoring target person selected by the user or the ID for identifying the monitoring target person, Or a message indicating the connection completion status between the terminal 190 and the control device 130 is displayed. In the third area 85, the arrangement states of the sensor icons 85A corresponding to the actual sensors SE are displayed, and the sensor icons corresponding to the sensed sensors can be displayed in specific colors. In the fourth area 87, detailed personal information of a specific monitoring target such as a name, a contact, a key, a weight, and an address is displayed. In the fifth area 89, the occurrence history of the dangerous situation or warning situation of the specific monitoring target person is displayed.

13 is a flowchart showing a fall prevention method using the fall prevention system shown in FIG. In the following steps, the contents overlapping with those described above will be omitted or briefly described.

Referring to FIG. 13, in step S1310, a plurality of sensors installed in a matrix form on a bed output a sensing signal corresponding to a pressing of a monitoring subject. Sensors are implemented as pads, and sensors implemented as pads are installed on beds (mattresses for beds).

In step S1320, the controller analyzes the distribution pattern of the sensors outputting the detection signal. The distribution pattern may include a number of sensors outputting the sensing signal, a position and number of sensors outputting the sensing signal, and a distribution map for each region defined on the bed based on the number and position.

Next, in step S1330, the control device predicts the fall risk of the monitoring subject based on the analyzed distribution pattern, and further, based on the analyzed distribution pattern, Is performed. The method of predicting the fall risk can be performed in a manner of comparing a plurality of reference distribution patterns, which are classified in stages, according to the distribution pattern and the fall risk level (or the risk of fall risk). At this time, the distribution pattern and the plurality of reference distribution patterns can be compared with each other at different matching ratios.

The plurality of reference distribution patterns may be configured to include first to fourth reference distribution patterns that are classified stepwise according to the fall risk level. Falls risk levels can be divided into safety, attention, warning and risk.

Wherein the first reference distribution pattern is a pattern in which a distribution pattern of the sensors sensed by the pressing member is learned when the monitoring subject is located in the central region of the bed and the second reference distribution pattern is a pattern in which, Wherein a distribution pattern of the sensors sensing the pressing in the center region is learned from a distribution pattern of sensors sensing the pressing in the peripheral region, And the third reference distribution pattern is a pattern obtained by learning a distribution pattern of the sensors that senses the pressing when the monitoring object is located over the central region and the peripheral region, Wherein a distribution of the sensed sensors indicates that the pressing Is less than the distribution of the sensors. And the fourth reference distribution pattern may be a pattern learned by a distribution pattern of the sensors that senses the pressing when the monitoring subject is located in the peripheral region.

Next, in step S1340, a process of transmitting the result information of the risk of falling of the monitoring target person to the management server through wired / wireless communication is performed. The result information transmitted to the management server may include posture and position information of the monitoring subject, history of the monitoring subject who changes with time, history information of the position information, and the like, as well as the result of prediction of the risk of falling.

In step S1350, the management server manages fall prevention of the monitoring target based on the result information, and transmits the result information to the terminal through wired / wireless communication. The manager of the management server monitors the monitoring subject in real time based on the result information transmitted from the control device and receives the result information according to the fall risk level of any one of the caution, warning, and dangerous situation from the control device, The alarm message is transmitted in real time to the cellular phone or the guardian's mobile phone or desktop to monitor the dangerous situation of the falling person in real time.

In step S1360, the terminal receives the result information from the management server, and displays the result information on the display screen of the terminal so that the user of the terminal monitors the result information. The terminal has an application module linked with the management server, which can be downloaded from the management server and installed in the terminal. The application module installed in the terminal provides an execution screen that can display various information to the user of the terminal to monitor the monitoring target. The execution screen may include, for example, a screen configuration for displaying the name of the monitoring target person, a connection completion status between the management server and the control device, and a sensor icon indicating the plurality of sensors and displayed in a specific color A screen configuration in which personal information of the monitoring target person is displayed, and a screen configuration in which a history of the result information is displayed. In addition, the app module may be configured to provide an alert message in the form of a pop-up window to inform the alert module when the result information that predicts a fall, such as a warning situation and a dangerous situation, is received from the management server.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood that various modifications and applications not illustrated in the drawings are possible. For example, each component specifically shown in the embodiments of the present invention can be modified and implemented. It is to be understood that all changes and modifications that come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.

Claims (9)

A control device for analyzing a position of the monitoring subject on the bed using a distribution pattern of sensors that detect the pressing of the monitoring subject positioned on the bed and predicting a risk of falling of the monitoring subject based on a result of analyzing the position;
A management server receiving information on the result of prediction of the falling risk from the control device through a wired / wireless communication network and managing fall prevention of the monitoring subject based on the received result information; And
A terminal for receiving the result information from the management server through the wired / wireless communication network and displaying the received result information on a display screen;
. In the first aspect,
And comparing the plurality of reference distribution patterns classified in stages according to the distribution pattern and the fall risk level to calculate the fall risk according to the fall risk level set in the reference distribution pattern matching the distribution pattern among the plurality of reference distribution patterns. Wherein the fall prevention system comprises: 3. The apparatus of claim 2,
A first reference distribution pattern that is learned by a distribution pattern of the sensors sensed when the monitoring subject is located in a central region of the bed;
Wherein a distribution pattern of the sensors sensed by the sensing member is learned when the monitoring object is positioned over the peripheral region surrounded by the central region and the central region, A second reference distribution pattern that is learned so as to be set to be larger than a distribution of sensors that sense the pressing in the peripheral region;
Wherein a distribution pattern of the sensors sensed by the pressing member is learned when the monitoring subject is located over the central region and the peripheral region, and the distribution diagram of the sensors sensing the pressing in the central region learns the pressing A third reference distribution pattern learned so as to be set smaller than a distribution of sensed sensors; And
When the monitoring object is located in the peripheral region, the fourth reference distribution pattern
Wherein the fall prevention system comprises: The control apparatus according to claim 3,
And predicts the fall risk level as a safety situation when the distribution pattern matches the first reference distribution pattern and predicts the fall risk level as a state of caution when the distribution pattern matches the second reference distribution pattern, And estimating the fall risk level as a warning condition when the distribution pattern and the third reference distribution pattern are matched. When the distribution pattern and the fourth reference distribution pattern are matched, Wherein the predicted fall prevention system comprises: A sensor pad including a plurality of sensors for outputting a sensing signal corresponding to the pressing of the monitoring object placed on the bed; And
A controller for predicting a risk of falling of the monitoring subject using a distribution pattern of sensors outputting the sensing signal;
. 6. The apparatus of claim 5, wherein each of the plurality of sensors comprises:
An intermediate pad of an elastic material having an opening;
An upper electrode disposed on the intermediate pad and to which an electric signal generated by the control device is applied; And
And a second electrode disposed on a lower portion of the intermediate pad and electrically connected to the upper electrode through the opening when the elastic pad of the elastic material shrinks due to the pressing, The lower electrode
. The control apparatus according to claim 5,
A storage unit for storing a plurality of reference distribution patterns classified in stages according to a fall risk level through prior learning;
A controller comparing the distribution pattern with the plurality of reference distribution patterns to predict the fall risk;
And outputting the falling risk of the monitoring subject in a digital form and an audio form based on the prediction result of the falling risk,
Wherein the fall prevention device comprises: A plurality of sensors installed on the bed outputting a sensing signal corresponding to the pressing of the monitoring subject;
Estimating a risk of falling of the monitoring subject using a distribution pattern of sensors outputting the sensing signal;
The management server receiving the result information of the fall risk prediction from the control device and managing fall prevention of the monitoring subject based on the received result information; And
The terminal receiving the result information from the management server and displaying the result information on the display screen of the terminal so that the user of the terminal monitors the result information;
&Lt; / RTI &gt; 9. The method of claim 8, wherein predicting the fall risk comprises:
Comparing the plurality of reference distribution patterns classified in stages according to the distribution pattern and the fall risk level with different matching ratios to predict the fall risk in stages according to the fall risk level; And
And outputting the predicted results in the audio and digital manner to notify the monitoring target person or the guardian of the monitoring target person
Wherein the fall prevention method comprises the steps of:

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