KR101647634B1 - Apparatus and method for handling emergency situation of wheel chair a passenger - Google Patents

Abstract

The present invention provides an apparatus and a method for handling an emergency situation of a passenger of a wheel chair. According to an embodiment of the present invention, the apparatus for handling an emergency situation is allowed to be carried by a passenger boarding a wheel chair or is able to be mounted on the wheel chair. The apparatus for handling an emergency situation comprises a data obtaining module, a data processing module, an emergency situation recognition module and an emergency situation responding module. The data obtaining module obtains a data packet from a wheel chair apparatus including a wheel chair. The data processing module classifies the data packet into a bio signal measurement packet, a situation measurement packet and a bio signal analysis packet, corrects data values of the bio signal measurement packet and the situation measurement packet to generate a bio signal measurement valid packet and a situation measurement valid packet. The emergency situation recognition module receives the bio signal measurement valid packet, the situation measurement valid packet and the bio signal analysis packet from the data processing module and determines whether the passenger boarding the wheel chair is in an emergency situation based on the bio signal measurement valid packet, the situation measurement valid packet and the bio signal analysis packet to generate emergency situation determination information. The emergency situation responding module performs an alarm process in accordance with a degree of an emergency situation depending on the emergency situation determination information.

Description

[0001] APPARATUS AND METHOD FOR HANDLING EMERGENCY SITUATION OF WHEEL CHAIR A PASSENGER [0002]

Embodiments of the present invention relate to an emergency situation handling technique of a rider on a wheelchair.

Generally, a patient or an elderly person with an uncomfortable mobility moves on a wheelchair while moving. Since the occupant of a wheelchair is a patient or an elderly person, an emergency may occur while boarding a wheelchair. For example, emergency situations may occur, such as a sudden deterioration in the health condition of a passenger in a wheelchair, or a passenger overturning or collapsing due to a wheelchair being overturned. Therefore, it is necessary to recognize such an emergency and take prompt action.

Korean Patent Publication No. 10-2007-0045525 (2007.05.02)

SUMMARY OF THE INVENTION An embodiment of the present invention is to provide an emergency situation processing apparatus and method capable of checking whether an occupant of a wheelchair is in an emergency situation and taking measures.

The emergency situation processing device according to the exemplary embodiment is an apparatus provided to be able to be carried by a passenger on a wheelchair or to be mounted on the wheelchair and is provided with data acquisition means for acquiring a data packet from a wheel chair device including the wheelchair module; Classifying the data packet into a bio-signal measurement packet, a situation measurement packet, and a bio-signal analysis packet, and correcting data values of the bio-signal measurement packet and the situation measurement packet to generate a bio-signal measurement valid packet and a situation measurement valid packet A data processing module; Wherein the bio-signal measurement valid packet, the status measurement valid packet, and the bio-signal analysis packet are received from the data processing module, and based on the bio-signal measurement valid packet, the status measurement valid packet, An emergency situation recognition module for determining whether an occupant on a wheelchair is in an emergency situation and generating emergency situation determination information; And an emergency response module that performs notification processing according to the emergency status according to the emergency status determination information.

Wherein the wheelchair device comprises: a biological signal sensing unit for measuring at least one of electrocardiogram, heartbeat, and body temperature of the occupant to generate bio-signal measurement information; A situation sensing unit for measuring at least one of an acceleration of the wheelchair, an attitude of the wheelchair, a collision of the wheelchair, a movement of the occupant, and a seating of the occupant, A bio-signal analyzer for analyzing the bio-signal measurement information to generate bio-signal analysis information including at least one of an arrhythmia, an autonomic nervous system activity, and an autonomic nervous system balance of the occupant; And a communication unit for data-packetizing the bio-signal measurement information, the situation measurement information, and the bio-signal analysis information and transmitting the packetized data to the emergency processing apparatus, wherein the data acquisition module is communicably connected to the communication unit, And communication means for receiving the bio-signal measurement packet, the situation measurement packet, and the bio-signal analysis packet from the communication unit.

Wherein each header of the bio-signal measurement packet, the status measurement packet, and the bio-signal analysis packet includes a category field and a data type field, and the category field indicates that the corresponding data packet is a bio- And a bio-signal analysis packet, wherein the data type field indicates whether the data packet belongs to which data type of the electrocardiogram, heartbeat, and body temperature of the occupant when the data packet is a bio-signal measurement packet , And when the corresponding data packet is a situation measurement packet, whether the data type belongs to the acceleration of the wheelchair, the attitude of the wheelchair, the collision of the wheelchair, the movement of the occupant, and the occupation of the occupant And when the corresponding data packet is a biological signal analysis packet, And the data type of the arrhythmia, the autonomic nervous system activity, and the autonomic nervous system balance of the occupant.

The data processing module identifies the category field in a header of a data packet acquired by the data acquisition module and classifies the corresponding data packet into one of the bio-signal measurement packet, the situation measurement packet, and the bio-signal analysis packet A first data classifier; And generating the biometric signal measurement valid packet and the situation measurement valid packet by receiving the biometric signal measurement packet and the situation measurement packet from the first data classification unit and correcting the data values of the biometric signal measurement packet and the situation measurement packet, Wherein the first data classification unit transmits the biometric signal measurement packet and the data packet classified into the status measurement packet to the data correction unit, and the data packet classified into the biometric signal analysis packet is the emergency Context aware module.

Wherein the data correction unit includes a first filter unit and a second filter unit, the first data classification unit identifies the data type field in a header of a data packet classified into the bio-signal measurement packet and the situation measurement packet, Wherein the bio-signal measurement packet and the status measurement packet are classified according to the confirmed data type and are transmitted to the first filter unit and the second filter unit, respectively, Wherein the data type of the data packet is the data value of the corresponding data packet itself, and the data type of the data packet is the data value of the corresponding data packet. A packet of a data type requiring a previous data packet can be transmitted to the second filter unit.

The first filter unit may be configured to change the data value of the data packet to the threshold value when the data value of the data packet transmitted from the first data classification unit exceeds a preset threshold value.

The second filter unit may include a first low pass filter and may correct a data value of a data packet transmitted from the first data classifier through the following equation.

(Equation)

: 제1 데이터 분류부로부터 입력되는 데이터 패킷의 보정된 데이터 값

: The corrected data value of the data packet input from the first data classification unit

: 해당 데이터 패킷 이전 데이터 패킷의 보정된 데이터 값

: Corrected data value of the previous data packet of the corresponding data packet

: 가중치로서

사이의 상수 값

As a weight

Constant value between

: 제1 데이터 분류부로부터 입력되는 데이터 패킷의 데이터 값

: A data value of a data packet input from the first data classification unit

Wherein the emergency situation recognition module receives the bio-signal measurement valid packet, the situation measurement valid packet, and the bio-signal analysis packet from the data processing module, and transmits the bio-signal measurement valid packet, A second data classifier for confirming a data type field in a header of the bio-signal analysis packet and classifying the data packet according to an emergency element corresponding to the data packet based on the confirmed data type; And a second data classifying unit for classifying at least one of the bio-signal measurement valid packet, the situation measurement valid packet, and the bio-signal analysis packet, which are classified and delivered by the second data classification unit, to arrhythmia, body temperature, autonomic nervous system activity, An emergency situation determiner for determining an emergency situation for at least one of emergency elements such as cardiac arrest, stunning, collision, overturn, and fall.

The emergency condition determiner may include a first emergency condition determiner for receiving a bio-signal analysis packet, the data type of which is the arrhythmia of the passenger, from the second data classifier, and determining an emergency condition for an arrhythmia based on a predetermined criterion; A time at which the body temperature of the occupant is maintained at or above a predetermined threshold upper body temperature or a time at which the body temperature of the occupant is maintained below a predetermined lower critical body temperature A second emergency situation determiner for determining an emergency situation with respect to a body temperature based on the first emergency situation detector; A third emergency situation determiner for receiving a bio-signal analysis packet in which the data type is the autonomic nervous activity of the occupant, from the second data classifier and determining an emergency situation for autonomic nervous system activity according to a predetermined criterion; A fourth emergency situation determiner for receiving a bio-signal analysis packet in which the data type from the second data classifier is the autonomic nervous system balance of the occupant, and determining an emergency situation for the autonomic nervous system balance degree according to a predetermined criterion; And a status measurement valid packet in which the bio-signal measurement valid packet and the data type, in which the data type is the heartbeat of the occupant, from the second data classification unit is the seating status of the occupant, and, when the occupant is aboard the wheelchair, A fifth emergency situation determiner for determining the degree of emergency of the cardiac arrest according to the number of heartbeat detections during a predetermined period of time of the occupant; And a situation measurement valid packet indicating whether or not the occupant is seated or not, and a situation measurement valid packet in which the data type is the movement of the occupant, from the second data classification unit, A sixth emergency situation determiner for determining a degree of emergency for stun based on a time when the occupant is in the wheelchair while the occupant is not moving; And a situation measurement valid packet in which the data type is a collision of the wheelchair and the data type is a acceleration of the wheelchair, A seventh emergency situation judging unit for judging an emergency degree of the collision; And a second data classifying unit for receiving a situation measurement valid packet whose data type is the attitude of the wheelchair and calculating an emergency degree for the overturn according to whether the pitch angle, roll angle, and yaw angle of the wheelchair exceeds a predetermined threshold angle An eighth emergency situation judging unit for judging the emergency situation; And a second data classifying unit for receiving a situation measurement valid packet indicating whether the occupant is seated by a data type of the occupant or not, and after a lapse of a predetermined time based on a time point when the wheelchair is overturned, And a ninth emergency situation determiner for determining the degree of the emergency.

A method for handling an emergency situation according to an exemplary embodiment is a method performed in a computing device having one or more processors and a memory for storing one or more programs executed by the one or more processors, ; Classifying the data packet into a bio-signal measurement packet, a situation measurement packet and a bio-signal analysis packet, and correcting data values of the bio-signal measurement packet and the situation measurement packet to generate a bio-signal measurement valid packet and a situation measurement valid packet ; Determining whether the occupant on the wheelchair is in an emergency situation based on the bio-signal measurement valid packet, the situation measurement valid packet, and the bio-signal analysis packet; And performing an alert process according to the severity of the emergency according to the emergency situation determination information.

According to the embodiment of the present invention, it is possible to promptly determine whether or not the occupant of the wheelchair is in an emergency situation by using the vital sign information and the situation measurement information of the wheelchair occupant, The user can quickly and appropriately respond to the request.

1 is a block diagram showing a configuration of an emergency situation processing system according to an exemplary embodiment;
2 is a block diagram showing a configuration of an emergency situation processing device according to an exemplary embodiment;
3 is a block diagram showing a configuration of an emergency situation recognition module according to an exemplary embodiment;
4 is a diagram illustrating an example of a screen configuration of a user interface module according to an exemplary embodiment;
5 is a block diagram illustrating and illustrating a computing environment including a computing device suitable for use in the exemplary embodiments.

Hereinafter, specific embodiments of the present invention will be described with reference to the drawings. The following detailed description is provided to provide a comprehensive understanding of the methods, apparatus, and / or systems described herein. However, this is merely an example and the present invention is not limited thereto.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. The following terms are defined in consideration of the functions of the present invention, and may be changed according to the intention or custom of the user, the operator, and the like. Therefore, the definition should be based on the contents throughout this specification. The terms used in the detailed description are intended only to describe embodiments of the invention and should in no way be limiting. Unless specifically stated otherwise, the singular form of a term includes plural forms of meaning. In this description, the expressions "comprising" or "comprising" are intended to indicate certain features, numbers, steps, operations, elements, parts or combinations thereof, Should not be construed to preclude the presence or possibility of other features, numbers, steps, operations, elements, portions or combinations thereof.

In the following description, terms such as " transmission ", "transmission "," transmission ", "reception ", and the like, of a signal or information refer not only to the direct transmission of signals or information from one component to another But also through other components. In particular, "transmitting" or "transmitting" a signal or information to an element is indicative of the final destination of the signal or information and not a direct destination. This is the same for "reception" of a signal or information. Also, in this specification, the fact that two or more pieces of data or information are "related" means that when one piece of data (or information) is acquired, at least a part of the other data (or information) can be obtained based thereon.

On the other hand, an embodiment of the present invention may include a program for performing the methods described herein on a computer, and a computer-readable recording medium including the program. The computer-readable recording medium may include a program command, a local data file, a local data structure, or the like, alone or in combination. The media may be those specially designed and constructed for the present invention, or may be those that are commonly used in the field of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROMs and DVDs, and specifically configured to store and execute program instructions such as ROM, RAM, flash memory, Hardware devices. Examples of such programs may include machine language code such as those produced by a compiler, as well as high-level language code that may be executed by a computer using an interpreter or the like.

1 is a block diagram showing a configuration of an emergency situation processing system according to an exemplary embodiment.

Referring to FIG. 1, an emergency response system 100 includes a wheelchair device 102, an emergency agent 104, and a emergency response server 106. The wheelchair device 102 is communicatively coupled to the emergency agent 104 via the communication network 150. The emergency agent 104 is communicatively coupled to the emergency care server 106 via the communication network 150. [ In some embodiments, the communications network 150 may include one or more of the Internet, one or more local area networks, wire area networks, cellular networks, mobile networks, other types of networks, As shown in FIG.

The wheelchair device 102 may include a wheelchair 102-1 and an embedded device 102-2. The wheelchair 102-1 means a means by which the patient or the elderly can sit and move. Since the wheelchair 102-1 is a known moving means, detailed description thereof will be omitted. The wheelchair 102-1 may include both a manual wheelchair and an electric wheelchair.

The embedded device 102-2 can be mounted on the wheelchair 102-1. The embedded device 102-2 may include a biological signal sensing unit 102-2a, a situation sensing unit 102-2b, a biological signal analysis unit 102-2c, and a communication unit 102-2d.

The biosignal sensing unit 102-2a receives biometric signals (e.g., electrocardiogram signals, heartbeat signals (pulse signals), and heartbeat signals) of a person aboard the wheelchair 102-1 (hereinafter, Body temperature, etc.). The living body signal sensing unit 102-2a may be provided to measure the living body signal of the occupant while the occupant is seated in the wheelchair 102-1. The living body signal sensing unit 102-2a can transmit the living body signal measurement information to the living body signal analyzing unit 102-2c and the communication unit 102-2d, respectively.

The situation sensing unit 102-2b may be provided to measure information capable of recognizing the situation of the passenger. For example, the situation sensing unit 102-2b may detect the acceleration of the wheelchair 102-1, the posture of the wheelchair 102-1, the collision of the wheelchair 102-1, the movement of the occupant, Or < / RTI > The situation sensing unit 102-2b can transmit the situation measurement information to the communication unit 102-2d.

The biological signal analyzing unit 102-2c can generate biological signal analysis information by analyzing the biological signal based on the biological signal measurement information received from the biological signal sensing unit 102-2a. That is, the bio-signal analyzing unit 102-2c can generate bio-signal analysis information including at least one of an arrhythmia, an autonomic nervous system activity, and an autonomic nervous system balance by analyzing an ECG signal, a heartbeat signal, have. The biological signal analysis unit 102-2c can transmit the biological signal analysis information to the communication unit 102-2d.

The communication unit 102-2d can packetize the bio-signal measurement information, the situation measurement information, and the bio-signal analysis information into data packets and transmit them to the emergency situation processing unit 104, respectively. At this time, the header of each data packet may include a packet number, a category, a data type, and a packet type. Here, the packet number indicates the order of the corresponding data packet. The category indicates a data category of the data packet, and indicates whether the corresponding data packet is bio-signal measurement information, situation measurement information or bio-signal analysis information. The data type indicates what information is included in the data packet. For example, when the category of the data packet is the bio-signal measurement information, the data type may indicate information on the electrocardiogram, information on the pulse, information on the body temperature, and the like. If the category of the data packet is the situation measurement information, the data type may indicate whether the data type is seat occupancy information, wheelchair attitude information, wheelchair acceleration information, occupant motion information, impact amount information, and the like. If the category of the data packet is bio-signal analysis information, the data type may indicate information on arrhythmia, information on autonomic nervous system activity, information on autonomic nervous system balance, and the like. The packet type is related to the type of the corresponding data packet, and each data packet can be classified into a transmission packet, a response packet for transmission, a request packet, and a response packet to a request.

The emergency situation processing device 104 receives the data packet from the wheelchair device 102 (more specifically, the embedded device 102-2), recognizes whether or not the occupant is in an emergency situation, and can perform a response according to the emergency situation have. The emergency handling device 104 may be mounted to the wheelchair device 102. The emergency situation processing device 104 may be detachably provided to the wheelchair device 102. However, the present invention is not limited to this, and the emergency situation processing device 104 may be provided so that the occupant can be portable. In the exemplary embodiment, the emergency situation processing device 104 may be implemented in the form of a smartphone, a tablet PC, a notebook, a wearable device, or the like.

2 is a block diagram showing a configuration of an emergency situation processing device 104 according to an exemplary embodiment. 2, the emergency situation processing device 104 includes a data acquisition module 111, a data processing module 113, an emergency situation recognition module 115, an emergency response module 117, a data analysis module 119, , And a user interface module 121.

The data acquisition module 111 may receive data packets from the wheelchair device 102. The data packet may be a data packet for biometric signal measurement information (hereinafter, may be referred to as a " biometric signal measurement packet "). Further, the data packet may be a data packet (hereinafter, referred to as " situation measurement packet ") for the situation measurement information. Further, the data packet may be a data packet (hereinafter referred to as a "biological signal analysis packet") for the biological signal analysis information. Here, the bio-signal measurement packet, the situation measurement packet, and the bio-signal analysis packet may be periodically received from the wheel chair device 102, respectively. At this time, the reception period of each data packet may be set differently for each data type of the corresponding data packet.

The data acquisition module 111 has communication means for performing communication with the wheelchair device 102, and can receive the data packet through the communication means. Here, although the data acquisition module 111 has been described as acquiring the bio-signal measurement information, the situation measurement information, and the bio-signal analysis information from the wheel chair device 102, the present invention is not limited thereto, And the bio-signal analysis information may be measured or analyzed by the emergency situation processing device 104 and acquired.

The data processing module 113 may correct the data value of the data packet acquired by the data acquisition module 111. [ That is, the data processing module 113 removes noise from the data value of the acquired data packet, corrects it to a data value within a valid range, and makes it available to the emergency awareness module 115. The data processing module 113 may include a first data classification unit 113-1 and a data correction unit 113-2. Here, the data correction unit 113-2 may include a first filter unit 113-2a and a second filter unit 113-2b.

The first data classification unit 113-1 may classify each data packet based on information included in the header of each data packet acquired by the data acquisition module 111. [ For example, the first data classification unit 113-1 can identify the category field in the header of each data packet and classify each data packet into one of a bio-signal measurement packet, a situation measurement packet, and a bio-signal analysis packet have.

The first data classification unit 113-1 may transmit the bio-signal measurement packet and the situation measurement packet to the data correction unit 113-2 so as to correct the data value. That is, since the bio-signal measurement information and the situation measurement information can be acquired while the passenger moves on the wheelchair 102-1, the bio-signal measurement information and the situation measurement information may include noise. For example, when an occupant swallows up, stands up for a while, sits back, or places an object on a wheelchair, an abnormal data value or an unstable data value can be obtained. Therefore, in order to remove the noise included in the bio-signal measurement information and the situation measurement information and to correct the data value to an effective range, the bio-signal measurement packet and the situation measurement packet are transmitted to the data correction unit 113-2.

Specifically, the first data classification unit 113-1 identifies the data type field in the header of the bio-signal measurement packet and the situation measurement packet, and determines whether the first filter unit 113-2a or the 2 filter unit 113-2b. That is, the first data classifying section 113-1 determines whether the packet is to be filtered and corrected through the first filter section 113-2a according to the data type of each packet, or through the second filter section 113-2b Filtering, and correction or classification. For example, the first data classification unit 113-1 transmits a packet of a data type (for example, a heartbeat) that can be corrected by the data value of the packet itself to the first filter unit 113-2a And transmits a packet having a data type (for example, body temperature, seated state, motion state, posture, acceleration, and the like) requiring a data value of a previous packet to the second filter unit 113-2b.

Since the bio-signal analysis information is already processed by the embedded device 102-2, the first data classification unit 113-1 can directly extract the bio-signal analysis information from the emergency recognition module 115, .

The data correction unit 113-2 can correct the data value of the data packet transmitted from the first data classification unit 113-1. Specifically, when the data value of the data packet transmitted from the first data classification unit 113-1 exceeds the predetermined threshold value, the first filter unit 113-2a sets the corresponding data value to a predetermined threshold value Can be corrected. For example, when the data type of the data packet transmitted from the first data classification unit 113-1 is a heartbeat value, the first filter unit 113-2a sets the heartbeat value to a preset threshold value (for example, 3 times), it is judged to be a value within an abnormal range and the heartbeat value of the data packet can be corrected to a predetermined threshold value.

The second filter unit 113-2b can correct the data value of the data packet transmitted from the first data classification unit 113-1 using a first low pass filter (exponentially weighted moving average filter). The second filter unit 113-2b can correct the data value of the data packet transmitted from the first data classification unit 113-1 through the following Equation (1).

(1)

는 제1 데이터 분류부(113-1)로부터 입력되는 데이터 패킷의 보정된 데이터 값,

는 해당 데이터 패킷 이전 데이터 패킷의 보정된 데이터 값,

는 가중치로서

사이의 상수 값,

는 제1 데이터 분류부(113-1)로부터 입력되는 데이터 패킷의 데이터 값을 나타낸다.here,

Is a corrected data value of a data packet input from the first data classification unit 113-1,

Is the corrected data value of the previous data packet,

As a weight

A constant value between,

Represents a data value of a data packet input from the first data classification unit 113-1.

That is, the second filter unit 113-2b corrects the data value of the data packet input from the first data classification unit 113-1 by using the corrected data value of the previous data packet, In case of a change, the sensitivity due to abrupt change can be reduced, and the influence of noise or abnormal value included in the data value can be minimized.

(가중치) 값을 다르게 적용할 수 있다. 예를 들어, 데이터 패킷의 데이터 타입이 체온 정보인 경우, 제2 필터부(113-2b)는

(가중치) 값으로 0.45를 적용할 수 있다. 또한, 데이터 패킷의 데이터 타입이 착석 여부 정보 또는 움직임 여부 정보인 경우, 제2 필터부(113-2b)는

(가중치) 값으로 0.35를 적용할 수 있다.The second filter unit 113-2b is connected to the first data classifying unit 113-1 according to the data type of the data packet transmitted from the first data classifying unit 113-1

(Weight) value can be applied differently. For example, when the data type of the data packet is body temperature information, the second filter unit 113-2b

(Weight) value of 0.45 can be applied. In addition, when the data type of the data packet is the seating information or the motion information, the second filter unit 113-2b

(Weight) value of 0.35 can be applied.

If the data type of the data packet is the presence / absence information and the motion / absence information, the second filter unit 113-2b determines whether or not the user is seated and moves based on 0 (for example, unsettled, no motion) or 1 (For example, 0.9) when the corrected data value is equal to or greater than a first set value (for example, 0.9), the corrected data value is changed to 1, and the corrected data If the value is less than the second set value (e.g., 0.1), the corrected data value may be changed to zero.

The emergency situation recognition module 115 can receive the bio-signal analysis packet from the first data classification unit 113-1. The emergency situation recognition module 115 can receive the biometric signal measurement packet and the situation measurement packet whose data values are corrected from the data correction unit 113-2. Hereinafter, the biometric signal measurement packet in which the data value is corrected may be referred to as a biometric signal measurement valid packet, and the status measurement packet in which the data value is corrected may be referred to as a status measurement valid packet.

The emergency situation recognition module 115 can determine whether the occupant is in an emergency based on the bio-signal measurement valid packet, the situation measurement valid packet, and the bio-signal analysis packet. The emergency awareness module 115 can determine whether or not the emergency situation is at least one of emergency factors such as arrhythmia, body temperature, autonomic nervous system activity, autonomic balance, cardiac arrest, stunning, collision, .

3 is a block diagram illustrating the configuration of the emergency awareness module 115 according to an exemplary embodiment. 3, the emergency recognition module 115 includes a second data classification unit 131, a first emergency situation determination unit 132, a second emergency situation determination unit 133, a third emergency situation determination unit The seventh emergency situation determination unit 138, the seventh emergency state determination unit 138, the seventh emergency state determination unit 136, the sixth emergency state determination unit 136, the fourth emergency state determination unit 135, the fourth emergency state determination unit 135, the fifth emergency state determination unit 136, 139, and a ninth emergency situation determiner 140. [

The second data classification unit 131 identifies the data type field of the header of the bio-signal measurement valid packet, the situation measurement valid packet, and the bio-signal analysis packet, and determines whether the packet corresponds to a data type of a certain emergency element It can be classified as to whether it is used for judging whether it is an emergency or not, and the classified information can be transmitted to the corresponding emergency situation determination unit.

The first emergency situation determiner 132 may determine whether the patient is in an emergency situation with respect to the arrhythmia of the occupant. That is, the first emergency situation determiner 132 receives the bio-signal measurement valid packet including the arrhythmia information from the second data classifier 131, and determines whether the arrhythmia is in an emergency state according to a predetermined determination criterion It is possible to generate the arrhythmia emergency situation determination information.

The second emergency situation determination unit 133 can determine whether the patient's body temperature is in an emergency condition. That is, the second emergency situation determination unit 133 receives the bio-signal measurement valid packet including the body temperature information from the second data classification unit 131, and determines whether the body temperature is in an emergency state according to a predetermined determination criterion The body temperature emergency situation determination information can be generated. For example, the second emergency situation determiner 133 may determine the emergency situation for the body temperature based on the time when the occupant's body temperature is maintained at or above the predetermined upper threshold body temperature or the time when the occupant's temperature is maintained below the predetermined lower threshold body temperature , Instability, and emergency.

The third emergency situation determination unit 134 may determine whether the autonomic nervous system activity of the passenger is in an emergency situation. That is, the third emergency situation determination unit 134 receives the bio-signal analysis packet including the autonomic nervous system activity information from the second data classification unit 131, and determines whether the autonomic nervous system activity is in an emergency situation The autonomic nervous system activity emergency state determination information can be generated.

The fourth emergency situation determination unit 135 may determine whether the emergency situation is present for the autonomic nervous system balance of the passenger. That is, the fourth emergency situation determination unit 135 receives the bio-signal analysis packet including the autonomic nervous system balance degree information from the second data classification unit 131, and transmits the bio-signal analysis packet containing the autonomic nervous system balance degree The autonomic nervous system balance can also generate emergency situation determination information.

The fifth emergency situation determiner 136 may determine whether the emergency is present for the cardiac arrest of the passenger. The fifth emergency situation determiner 136 receives the biometric signal measurement valid packet including the heartbeat information and the situation measurement valid packet including the seating information from the second data classifier 131, It is possible to generate the cardiac arresting emergency situation determination information. The fifth emergency situation determination unit 136 determines whether or not the occupant is seated in the wheelchair 102-1 based on the situation measurement valid packet including the bio-signal measurement valid packet including the heartbeat information and the seating information, The number of times of heartbeat detection during a predetermined period of time, and the like. For example, when a passenger is seated in the wheelchair 102-1, if the heartbeat is detected to be less than three times within 30 seconds, it is determined that the seat belt is in an unstable state. When the occupant is seated in the wheelchair 102-1, If the heart rate is below 6, it can be judged as emergency.

The sixth emergency situation determiner 137 can determine whether the passenger is stunned or not. The sixth emergency situation determiner 137 receives the situation measurement valid packet including the motion information and the situation measurement valid packet including the seating information from the second data classifier 131, It is possible to generate stunned emergency condition determination information by determining the degree of emergency situation with respect to stunning. In the exemplary embodiment, the sixth emergency situation determiner 137 checks whether there is a collision of the wheelchair 102-1 through the seventh emergency situation determiner 138, and if a predetermined time elapses from the occurrence of the collision It is possible to determine the degree of emergency of the passengers stunned based on the time when the passenger is seated in the wheelchair 102-1.

The seventh emergency situation determination unit 138 may determine whether the emergency situation is related to the collision of the wheelchair. The seventh emergency situation determiner 138 receives the situation measurement valid packet including the collision information and the situation measurement valid packet including the acceleration information from the second data classifier 131, The collision emergency situation determination information can be generated by determining the degree of the situation. The seventh emergency situation determiner 138 can determine the degree of emergency for the collision based on the collision amount of the wheelchair 102-1 and the acceleration at the collision point.

The eighth emergency situation judging unit 139 can judge whether the wheelchair is rolled over in an emergency situation. The eighth emergency situation determination unit 139 receives the situation measurement valid packet including the attitude information from the second data classification unit 131 and determines the degree of emergency for the overturn based on the received condition measurement effective packet, Can be generated. The eighth emergency situation determiner 139 can determine the degree of emergency for the rollover based on whether the pitch angle, the roll angle, and the yaw angle of the wheelchair 102-1 exceed the predetermined threshold angles, respectively.

The ninth emergency state determiner 140 may determine whether the occupant is in an emergency situation with respect to the fall of the occupant. The ninth emergency state determiner 140 receives the situation measurement valid packet including the seating state information from the second data classifier 131 and determines the emergency state of the fall based on the received state measurement valid packet, Lt; / RTI > The ninth emergency state determiner 140 determines whether the wheelchair 102-1 is overturned through the eighth emergency state determiner 139 and determines whether or not the wheelchair 102-1 is overturned, After the lapse of time, it is possible to judge the degree of emergency for the fall through whether or not the occupant is seated.

Referring again to FIG. 2, the emergency response module 117 may perform a notification process according to the degree of emergency of the emergency awareness module 115. For example, the emergency response module 117 can inform the passenger of the wheelchair 102-1 of the emergency situation on a screen or a sound when the emergency situation is unstable. The emergency response module 117 can transmit the emergency notification information to the emergency response server 106 when the emergency status is at an emergency level. In addition, the emergency response module 117 can inform the passenger or the people around him / her of the emergency situation on a screen or a sound when the emergency situation is at an emergency level. The emergency alert information may include information on the type of the emergency element and information on the emergency situation.

The data analysis module 119 analyzes the bio-signal measurement valid packet, the situation measurement valid packet, and the bio-signal analysis packet to analyze at least one of the physical condition of the user, the condition of the wheelchair, Information can be generated. The data analysis module 119 may analyze the user's physical condition for a predetermined period of time to generate analysis information.

The user interface module 121 may provide the analysis information generated by the data analysis module 119 to the user. The user interface module 121 can display analysis information on the screen. The user interface module 121 may provide an interface for environment setting of the emergency situation processing device 104.

The emergency response server 106 can receive the emergency notification information from the emergency situation processing device 104. [ The emergency response server 106 may be provided in a first aid agency such as a hospital or a fire station.

4 is a diagram illustrating an example of a screen configuration of the UI module 121 according to the exemplary embodiment.

Referring to FIG. 4, the user interface module 121 may display the state of the occupant's body condition (normal, unstable, emergency) on the screen of the emergency situation processing device 104. At this time, biometric information (e.g., body temperature, heart rate, etc.) of the user may be displayed on the screen of the emergency situation processing device 104. [ The user interface module 121 displays on the screen of the emergency situation processing device 104 the status of health of the occupant (analysis information on the health status of the passenger for a certain period of time), the health guide (health guide information according to the occupant's health condition) An environment setting (environment setting for the emergency situation processing device 104), an emergency call (to a predetermined telephone number), a controller (steering wheelchair), and the like.

5 is a block diagram illustrating and illustrating a computing environment 10 including a computing device suitable for use in the exemplary embodiments. In the illustrated embodiment, each of the components may have different functions and capabilities than those described below, and may include additional components in addition to those described below.

The illustrated computing environment 10 includes a computing device 12. In one embodiment, the computing device 12 may be a device (e.g., embedded device 102-2) that is mounted to a wheelchair. In addition, the computing device 12 may be an emergency agent (e.g., emergency agent 104).

The computing device 12 includes at least one processor 14, a computer readable storage medium 16, The processor 14 may cause the computing device 12 to operate in accordance with the exemplary embodiment discussed above. For example, processor 14 may execute one or more programs stored on computer readable storage medium 16. The one or more programs may include one or more computer-executable instructions, which when executed by the processor 14 cause the computing device 12 to perform operations in accordance with the illustrative embodiment .

The computer-readable storage medium 16 is configured to store computer-executable instructions or program code, program data, and / or other suitable forms of information. The program 20 stored in the computer-readable storage medium 16 includes a set of instructions executable by the processor 14. In one embodiment, the computer-readable storage medium 16 may be any type of storage medium such as a memory (volatile memory such as random access memory, non-volatile memory, or any suitable combination thereof), one or more magnetic disk storage devices, Memory devices, or any other form of storage medium that can be accessed by the computing device 12 and store the desired information, or any suitable combination thereof.

Communication bus 18 interconnects various other components of computing device 12, including processor 14, computer readable storage medium 16.

The computing device 12 may also include one or more input / output interfaces 22 and one or more network communication interfaces 26 that provide an interface for one or more input / output devices 24. The input / output interface 22 and the network communication interface 26 are connected to the communication bus 18. The input / output device 24 may be connected to other components of the computing device 12 via the input / output interface 22. The exemplary input and output device 24 may be any type of device, such as a pointing device (such as a mouse or trackpad), a keyboard, a touch input device (such as a touch pad or touch screen), a voice or sound input device, An input device, and / or an output device such as a display device, a printer, a speaker, and / or a network card. The exemplary input and output device 24 may be included within the computing device 12 as a component of the computing device 12 and may be coupled to the computing device 12 as a separate device distinct from the computing device 12 It is possible.

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, . Therefore, the scope of the present invention should not be limited to the above-described embodiments, but should be determined by equivalents to the appended claims, as well as the appended claims.

100: Emergency response system
102: Wheelchair device
102-1: Wheelchair
102-2: Embedded device
102-2a: Biological signal sensing unit
102-2b: Situation sensing unit
102-2c: biological signal analysis unit
102-2d:
104: Emergency handling device
106: First aid server
111: Data Acquisition Module
113: Data processing module
113-1: first data classification unit
113-2: Data correction unit
113-2a: the first filter section
113-2b: the second filter portion
115: Emergency Cognition Module
117: Emergency Response Module
119: Data Analysis Module
121: User interface module
131: second data classification unit
132: First emergency situation judgment unit
133: Second emergency situation judgment unit
134: Third emergency situation judgment unit
135: fourth emergency situation judgment unit
136: The fifth emergency situation judgment unit
137: sixth emergency situation judgment unit
138: Seventh emergency situation judgment unit
139: 8th emergency situation judgment unit
140: 9th emergency situation judgment unit

Claims (10)

An apparatus mounted on a wheelchair for being carried by a passenger or being mounted on the wheelchair,
A data acquisition module for acquiring a data packet from a wheelchair device including the wheelchair;
Classifying the data packet into a bio-signal measurement packet, a situation measurement packet and a bio-signal analysis packet, and correcting data values of the bio-signal measurement packet and the situation measurement packet to generate a bio-signal measurement valid packet and a situation measurement valid packet A data processing module;
Wherein the bio-signal measurement valid packet, the status measurement valid packet, and the bio-signal analysis packet are received from the data processing module, and based on the bio-signal measurement valid packet, the status measurement valid packet, An emergency situation recognition module for determining whether an occupant on a wheelchair is in an emergency situation and generating emergency situation determination information; And
And an emergency response module for performing a notification process according to an emergency situation level according to the emergency situation determination information,
Wherein each header of the bio-signal measurement packet, the status measurement packet, and the bio-signal analysis packet includes a category field and a data type field,
Wherein the category field includes information on which category of the biometric signal measurement packet, the situation measurement packet, and the bio-signal analysis packet the corresponding data packet belongs,
Wherein the data type field comprises:
And information on which of the ECG, heart rate, and body temperature of the occupant belongs, when the data packet is a bio-signal measurement packet,
And information on whether the data packet belongs to a data type of an acceleration of the wheelchair, an attitude of the wheelchair, a collision of the wheelchair, whether the occupant is moving, and whether the occupant is seated if the data packet is a situation measurement packet,
And information on which data type the arrhythmia, the autonomic nervous system activity, and the autonomic nervous system balance of the occupant belongs to when the data packet is a bio-signal analysis packet.
The method according to claim 1,
Wherein the wheelchair device comprises:
A bio-signal sensing unit for measuring at least one of electrocardiogram, heartbeat, and body temperature of the occupant to generate bio-signal measurement information;
A situation sensing unit for measuring at least one of an acceleration of the wheelchair, an attitude of the wheelchair, a collision of the wheelchair, a movement of the occupant, and a seating of the occupant,
A bio-signal analyzer for analyzing the bio-signal measurement information to generate bio-signal analysis information including at least one of an arrhythmia, an autonomic nervous system activity, and an autonomic nervous system balance of the occupant; And
And a communication unit for converting the bio-signal measurement information, the situation measurement information, and the bio-signal analysis information into data packets and transmitting the packetized data to the emergency situation processor,
Wherein the data acquisition module includes communication means connected to be capable of communicating with the communication unit and receiving the bio-signal measurement packet, the situation measurement packet, and the bio-signal analysis packet from the communication unit.
delete The method according to claim 1,
The data processing module includes:
A first data classifier for identifying the category field in a header of a data packet acquired by the data acquisition module and classifying the data packet into one of the bio-signal measurement packet, the situation measurement packet, and the bio-signal analysis packet; And
Receiving the biometric signal measurement packet and the situation measurement packet from the first data classification unit and generating a biometric signal measurement valid packet and a situation measurement valid packet by correcting the data values of the biometric signal measurement packet and the situation measurement packet And a data correction unit,
The first data classification unit transmits the bio-signal measurement packet and the data packet classified as the situation measurement packet to the data correction unit, and transmits the data packet classified as the bio-signal analysis packet to the emergency situation recognition module , An emergency handling device.
The method of claim 4,
Wherein the data correction unit includes a first filter unit and a second filter unit,
Wherein the first data classification unit identifies the data type field in a header of a data packet classified into the bio-signal measurement packet and the situation measurement packet, and transmits the bio-signal measurement packet and the situation measurement packet according to the confirmed data type The first filter unit and the second filter unit,
A packet of a data type in which the verified data type of the bio-signal measurement packet and the status measurement packet can correct the data value of the data packet itself is transmitted to the first filter unit,
Wherein the biometric signal measurement packet and the status measurement packet transmit the packet of the data type requiring the data packet prior to the data value correction to the second filter unit.
The method of claim 5,
Wherein the first filter unit comprises:
Wherein the data processing unit is configured to change the data value of the data packet to the threshold if the data value of the data packet transmitted from the first data classification unit exceeds a preset threshold value.
The method of claim 5,
The second filter unit includes:
And a first low pass filter for correcting a data value of a data packet transmitted from the first data classifier through the following equation.
(Equation)

: The corrected data value of the data packet input from the first data classification unit

: Corrected data value of the previous data packet of the corresponding data packet

As a weight

Constant value between

: A data value of a data packet input from the first data classification unit
The method according to claim 1,
The emergency situation recognition module comprises:
And the bio-signal measurement valid packet, the status measurement valid packet, and the bio-signal analysis packet from the data processing module, and transmits the bio-signal measurement valid packet, the status measurement valid packet, and the bio- A second data classifier for checking the data type field and classifying the data packet based on the confirmed data type according to the emergency element corresponding to the data packet; And
Body temperature, autonomic nervous system activity, and autonomic nervous system balance based on at least one of the bio-signal measurement valid packet, the situation measurement valid packet, and the bio-signal analysis packet classified and transmitted by the second data classification unit, And an emergency situation judging section for judging whether or not an emergency situation is present for at least one emergency condition element among the cardiac arrest, the stunning, the collision, the overturn, and the fall.
The method of claim 8,
The emergency situation determination unit may determine,
A first emergency situation determiner for receiving a bio-signal analysis packet in which the data type is the arrhythmia of the passenger from the second data classifier, and determining an emergency situation for an arrhythmia according to a predetermined criterion;
A time at which the body temperature of the occupant is maintained at or above a predetermined threshold upper body temperature or a time at which the body temperature of the occupant is maintained below a predetermined lower critical body temperature A second emergency situation determiner for determining an emergency situation with respect to a body temperature based on the first emergency situation detector;
A third emergency situation determiner for receiving a bio-signal analysis packet in which the data type is the autonomic nervous activity of the occupant, from the second data classifier and determining an emergency situation for autonomic nervous system activity according to a predetermined criterion;
A fourth emergency situation determiner for receiving a bio-signal analysis packet in which the data type from the second data classifier is the autonomic nervous system balance of the occupant, and determining an emergency situation for the autonomic nervous system balance degree according to a predetermined criterion;
And a status measurement valid packet in which the bio-signal measurement valid packet and the data type, in which the data type is the heartbeat of the occupant, from the second data classification unit is the seating status of the occupant, and, when the occupant is aboard the wheelchair, A fifth emergency situation determiner for determining the degree of emergency of the cardiac arrest according to the number of heartbeat detections during a predetermined period of time of the occupant;
And a situation measurement valid packet indicating whether or not the occupant is seated or not, and a situation measurement valid packet in which the data type is the movement of the occupant, from the second data classification unit, A sixth emergency situation determiner for determining a degree of emergency for stun based on a time when the occupant is in the wheelchair while the occupant is not moving;
And a situation measurement valid packet in which the data type is a collision of the wheelchair and the data type is a acceleration of the wheelchair, A seventh emergency situation judging unit for judging an emergency degree of the collision;
And a second data classifying unit for receiving a situation measurement valid packet whose data type is the attitude of the wheelchair and calculating an emergency degree for the overturn according to whether the pitch angle, roll angle, and yaw angle of the wheelchair exceeds a predetermined threshold angle An eighth emergency situation judging unit for judging the emergency situation; And
A second data classifying unit for receiving a situation measurement validity packet indicating whether or not the occupant is seated in a data type of the occupant and determining whether the occupant is seated; And a ninth emergency situation judging section for judging the emergency situation judging section.
One or more processors, and
A method performed in a computing device having a memory storing one or more programs executed by the one or more processors,
Obtaining a data packet from a wheelchair device;
Classifying the data packet into a bio-signal measurement packet, a situation measurement packet, and a bio-signal analysis packet, and correcting data values of the bio-signal measurement packet and the situation measurement packet to generate a bio-signal measurement valid packet and a situation measurement valid packet ;
Determining whether the occupant on the wheelchair is in an emergency situation based on the bio-signal measurement valid packet, the situation measurement valid packet, and the bio-signal analysis packet; And
And performing an alert process according to an emergency situation level according to the emergency situation determination information,
Wherein each header of the bio-signal measurement packet, the status measurement packet, and the bio-signal analysis packet includes a category field and a data type field,
Wherein the category field includes information on which category of the biometric signal measurement packet, the situation measurement packet, and the bio-signal analysis packet the corresponding data packet belongs,
Wherein the data type field comprises:
And information on which of the ECG, heart rate, and body temperature of the occupant belongs, when the data packet is a bio-signal measurement packet,
And information on whether the data packet belongs to a data type of an acceleration of the wheelchair, an attitude of the wheelchair, a collision of the wheelchair, whether the occupant is moving, and whether the occupant is seated if the data packet is a situation measurement packet,
Wherein the data packet includes information on which data type the arrhythmia, the autonomic nervous system activity, and the autonomic nervous system balance of the occupant belongs to when the data packet is a bio-signal analysis packet.

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