KR102470111B1 - Treatment method of emergency patient during transforting by vehicle - Google Patents

Abstract

A first step of generating an action event by detecting an emergency patient lying on the upper surface of the bed inside the vehicle; a second step of switching an operation of a medical assistance module installed inside the vehicle to On according to the operation event; A third step of recognizing the face of the emergency patient through the medical assistance module to determine the identity; After analyzing the past medical records of emergency patients through the medical assistance module using deep-learning artificial intelligence technology, there is a high need for attention: 1) first information on allergy-related drugs and 2) second emergency medicine-related a fourth step of forming information; And a fifth step of transmitting the first information and the second information to a server in an emergency institution; provides a method of taking care of an emergency patient during transport including a vehicle.

Description

How to take action for emergency patients during vehicle transport {TREATMENT METHOD OF EMERGENCY PATIENT DURING TRANSFORTING BY VEHICLE}

The present invention relates to a method for taking care of an emergency patient in which a rescuer identifies the emergency patient in the process of transporting the emergency patient through a vehicle and receives medical information necessary for the emergency treatment.

Incidents and accidents in daily life are constantly increasing. In such an urgent situation, emergency patients can use 119 ambulance vehicles and emergency vehicles operated by private companies. Recently, a remote medical system for emergency rescue that can take prompt and appropriate measures for such an emergency patient has been introduced. However, in this system, paramedics and the like transmit images captured in real time through camera equipment to medical staff, and based on this, communicate with medical staff to take appropriate emergency measures.

However, the conventional remote medical system has a problem in that it is difficult to smoothly operate the communication process between paramedics and medical staff due to various problems. For example, in the case of telemedicine, there were issues such as controversy over responsibility for emergency measures later, payment of expenses to medical staff, and shortage of medical staff to be put into the remote medical system.

In addition, when it is difficult to communicate between rescuers and emergency patients, there is a problem in that it is difficult to take more appropriate emergency measures due to lack of information on emergency patients in taking emergency measures. In addition, there was a problem in that rescuers could not take appropriate measures in various emergency situations due to lack of knowledge and experience in emergency medicine.

Republic of Korea Patent No. 10-1222397 (registered on January 8, 2013) Republic of Korea Patent Publication No. 10-2019-0106483 (published on September 18, 2019) Republic of Korea Patent Publication No. 10-2020-0041726 (published on April 22, 2020)

Embodiments of the present invention have been made to solve the above problems, and to provide a rapid first aid method for a severe emergency patient being transported through an emergency vehicle. In particular, it is intended to easily identify an emergency patient based on past data, and accordingly provide appropriate information to a rescuer in emergency measures such as drug administration.

It is intended to provide identification of the emergency patient in the emergency vehicle, emergency medicine-related information suitable for the emergency patient, and information on allergy-related drugs. To enable rescuers to take appropriate first aid measures for emergency patients in emergency situations.

An embodiment of the present invention to solve the above problems, a first step of generating an operation event by detecting an emergency patient lying on the upper surface of the bed inside the vehicle; a second step of switching an operation of a medical assistance module installed inside the vehicle to On according to the operation event; A third step of recognizing the face of the emergency patient through the medical assistance module to determine the identity; After analyzing the past medical records of emergency patients through the medical assistance module using deep-learning artificial intelligence technology, there is a high need for attention: 1) first information on allergy-related drugs and 2) second emergency medicine-related a fourth step of forming information; And a fifth step of transmitting the first information and the second information to a server in an emergency institution; provides a method of taking care of an emergency patient during transport including a vehicle.

In the first step, it is preferable that a piezoelectric sensor is installed on the bed.

The medical auxiliary module includes a housing part fixedly installed in the vehicle; a camera unit installed outside the housing unit and having an adjustable installation angle; an infrared sensor unit installed outside the housing unit and further adding facial features of the emergency patient extracted through the camera unit; and an ultrasonic sensor unit installed outside the housing unit and providing three-dimensional information on facial features of the emergency patient.

Preferably, the medical assistance module further includes a facial feature generation unit configured to receive data transmitted from the camera unit, the infrared sensor unit, and the ultrasonic sensor unit, respectively, and generate data on facial characteristics of the emergency patient. .

In the third step, identification is performed by comparing facial features in the region of interest segmented into at least one of the faces of the emergency patient and corresponding ROI tags for the face of the emergency patient stored in advance. it is desirable

In step 5, the first information and the second information are transmitted to a preset terminal of a rescuer and the server through a wireless transceiver electrically connected to the medical assistance module,

It is preferable that a dedicated app pre-synchronized with the wireless transmission/reception unit is installed in the terminal to receive the first information and the second information in keyword units.

According to the problem solving means of the present invention as described above, various effects including the following can be expected. However, the present invention is not established when all of the following effects are exhibited.

A method of taking an emergency patient while transporting a vehicle according to an embodiment of the present invention provides a quick first aid method for a severe emergency patient being transported through an emergency vehicle. In addition, the identity of the emergency patient can be easily identified based on past data, and accordingly, appropriate information can be provided to rescuers in taking emergency measures such as drug administration.

In an emergency vehicle that is being transported, identification of an emergency patient, emergency medicine-related information suitable for an emergency patient, and information on allergy-related drugs can be provided. Based on this, rescuers can take appropriate emergency measures for emergency patients in emergency situations.

1 is a flow chart of a method of taking an emergency patient during transportation according to an embodiment of the present invention.
Figure 2 is a schematic configuration diagram showing the relationship between components such as a medical auxiliary module that performs the action method of Figure 1;
3 is an exemplary view of the region of interest of FIG. 1;
FIG. 4 is a view showing brightness information about the bridge of the nose and brightness information about the lips of FIG. 3;

Hereinafter, in the description of the present invention, detailed descriptions thereof will be omitted if it is determined that the related known functions may unnecessarily obscure the subject matter of the present invention as obvious matters to those skilled in the art. Terms used in this application are only used to describe specific embodiments and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise.

In this application, the terms "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

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

1 is a perspective view of a sound map device according to an embodiment of the present invention, FIG. 2 is an exploded perspective view of FIG. 1, FIG. 3 is a cross-sectional view showing a state in which a button unit is coupled, and FIG. 4 is a sound module of FIG. 1 A view showing a schematic configuration of, Figure 5 is an exploded perspective view of the front board according to another embodiment.

Referring to FIGS. 1 to 5 , a method for taking care of an emergency patient during vehicle transportation according to an embodiment of the present invention includes a first step (s10) to a fifth step (s50). First, the first step (s10) is a step of generating an operation event by detecting an emergency patient lying on the upper surface of the bed inside the vehicle. The vehicle is preferably an ambulance, which is an emergency rescue vehicle. Inside the vehicle, there is a bed on which emergency patients lie down. Meanwhile, at least one piezoelectric sensor 100 is attached to the lower surface of the bed. That is, the piezoelectric sensor 100 is installed on the bed to detect an emergency patient. The piezoelectric sensor 100 is in the form of a thin patch and can measure the heart rate and respiratory rate of emergency patients. The piezoelectric sensor 100 may be formed on the lower surface of the bed facing the area a 110 of the bed where the upper body of the emergency patient is placed.

Here, area a 110 refers to an area including a boundary between the first area and the second area when the bed is equally divided into three parts (first area, second area, and third area) in the vertical direction. When the measurement signal is weak, the piezoelectric sensor 100 may amplify it. The piezoelectric sensor 100 may generate a warning signal when the vital signs of the emergency patient fluctuate rapidly, and then output the warning signal through a speaker unit (not shown) electrically connected to the piezoelectric sensor 100 .

In the first step, when a signal waveform corresponding to an emergency patient is detected through the piezoelectric sensor 100, an operation event for switching the operating state of the medical assistance module 200 to On may occur.

Then, the second step (s20) is a step of switching the operation of the medical assistance module 200 installed inside the vehicle to On according to the operation event. At this time, the medical auxiliary module 200 is switched from an operation off state to an operation on state.

Next, the third step (s30) is a step of identifying the identity of the emergency patient by recognizing the face of the emergency patient through the medical assistance module 200. It is preferable that the medical auxiliary module 200 according to an embodiment is fixedly installed on the inside of the vehicle, particularly on the ceiling surface. Specifically, the medical auxiliary module 200 includes a housing unit 210, a camera unit 212, an infrared sensor unit 214, an ultrasonic sensor unit 216, a facial feature generator 210, a database unit 220, An artificial intelligence processing unit 230 and the like may be included. The housing part 210 constitutes the body of the medical auxiliary module 200 and allows the medical auxiliary module 200 to be fixedly installed in the vehicle.

The camera unit 212 is installed outside the housing unit 210 and the installation angle is adjusted. The camera unit 212 has a purpose for recognizing the face of an emergency patient. The camera unit 212 captures an image or video of the emergency patient and then extracts facial features of the emergency patient. The facial features may be facial features within the ROI (r) divided into at least one of the faces. Here, the region of interest r is preferably the nose r1 of the user's face. The region of interest r may be, for example, a plurality of pieces of brightness information a1 to a6 measured on the bridge of the nose. Brightness information may be expressed in numbers. Also, the brightness information a1 to a6 for the bridge of the nose may be arranged in a matrix form.

The region of interest (r) may include each part of the nose protruding from the facial skin. Meanwhile, the region of interest r may be divided into a plurality of sub regions of interest. Specifically, the sub-region of interest is a narrower area in which a certain part of the nose, such as the shape of the nasal tip, the shape of the tip of the nose, and the shape of the bridge of the nose, is focused. Facial features for each sub-region of interest may be specified by selecting one of a plurality of preset items. Alternatively, the facial features may be specified as digitized values such as the width and length of the bridge of the nose, the distance between the nostrils, and the like.

Meanwhile, the region of interest r may be formed in a 3D space. For example, the region of interest (r) may include one side of the nose. Specifically, the facial features of the user may be specified by measuring a straight line connecting the lips and the tip of the nose and an angle r6 formed with the ground.

Also, the region of interest r may be the lips r2. For example, the region of interest r may be brightness measured at a plurality of points disposed along the lips. In this case, the facial features may be a plurality of pieces of brightness information (b1 to b6, c1 to c6) measured from the lips. Brightness information may be expressed in numbers. Also, the brightness information b1 to b6 and c1 to c6 for the lips may be arranged in a matrix form. In addition, when the region of interest r is the lips, facial features such as the thickness of the upper and lower lips, the shape of the M-shaped line of the upper lip, etc. may be extracted from the lips and used for face recognition of the user.

In addition, the region of interest (r) is the distance between the user's eyebrows (r3), the degree of darkness of the eyebrows (r4), the degree of contrast (r5) of the face (for example, the cheek part of the face), and the distance between the nose and the mouth (lips). Facial features of various parts such as distance and face ratio may be further included. As for the facial features, one of a plurality of pre-stored items is selected. Also, facial features may be specified as numerical values.

The camera unit 212 may extract facial features within the region of interest r for the emergency patient. At this time, image processing through the camera unit 212 is as follows. The camera unit 212 recognizes the front of the user's face. The camera unit 212 may focus on the region of interest r and capture an image or image by enlarging it.

Meanwhile, in the case of an image, for example, a frame that best reflects facial features among the region of interest (r) may be extracted and imaged. At this time, the artificial intelligence processing unit 230 may use a convolutional neural network to which a deep learning method is applied in the field of artificial intelligence (AI) technology in order to extract an optimal image from a plurality of images or videos as well as face recognition. A convolutional neural network can accurately extract a specific image from among a plurality of images by using a filter having a certain size. In contrast, when capturing an image, the camera unit 212 may acquire a plurality of image frames at intervals of several seconds. Similarly, the artificial intelligence processing unit 230 may use an algorithm applied with a deep learning method to extract an optimal image.

Meanwhile, the camera unit 212 may adjust the angle of the surface toward which the camera unit 212 faces according to the position of the emergency patient's face. The camera unit 212 is rotatable within a certain angular range and can be adjusted to an angle suitable for face recognition.

The infrared sensor unit 214 is installed outside the housing unit 210 and serves to further add facial features of the emergency patient extracted through the camera unit 212 . The infrared sensor unit 214 includes a light emitting unit that generates infrared rays and a light receiving unit that senses them. The infrared sensor unit 214 can discriminate the shape of an object, especially when there is no light or insufficient light. Emergency patients are self-heating and emit infrared rays themselves. That is, the facial features of the emergency patient can be further added by using the fact that a red color appears as the temperature increases and that the wavelength changes according to the temperature.

The ultrasonic sensor unit 216 is installed outside and provides three-dimensional information about the facial features of the emergency patient. The ultrasonic sensor unit 216 may generate ultrasonic waves to measure data related to the three-dimensional shape of the face, such as the height of the nose. The ultrasonic sensor unit 216 can be manufactured through a technique known to those skilled in the art, and in particular, an ultrasonic distance meter used for distance measurement can be adopted.

The facial feature generating unit 210 receives data transmitted from the camera unit 212, the infrared sensor unit 214, and the ultrasonic sensor unit 216, respectively, and serves to generate data on the facial characteristics of the emergency patient. . For example, in the case of facial features related to the height of the nose, when the data measured by the ultrasonic sensor unit 216 and the data measured through the camera unit 212 and the infrared sensor unit 214 generate an error, the face The feature generator 210 may add information about the size of the face and the like, and may specify data about the height of the nose by using data through the ultrasonic sensor 216 as a correction coefficient. The facial feature generator 210 converts facial features into data providing 3D information. The facial feature generating unit 210 may use an algorithm applied with a deep learning method through the artificial intelligence processing unit 230 to more accurately generate data on facial features.

The wireless transceiver 240 may be electrically connected to the medical auxiliary module 200 . The wireless transceiver 240 according to an embodiment may be installed on an inner or outer surface of the medical assistance module 200 . The wireless transmission/reception unit 240 transmits and receives electrical signals with the preset terminal 400 . Here, the terminal 400 includes a predetermined specific person, for example, a rescuer's smart phone. The wireless transceiver 240 may transmit signals using a short-range wireless communication network such as Wi-Fi, Bluetooth, or ZigBee.

The database unit 220 stores personal information, past medical records, and the like about a patient registered in a certain emergency institution (large hospital, etc.) or a particular emergency institution. In addition, the database unit 220 may pre-store a ROI tag for the emergency patient's face. In step 3, identification of the emergency patient includes facial features in the region of interest (r) segmented into at least one of the faces of the emergency patient and corresponding ROI tags for the face of the emergency patient stored in advance. done in a comparative way.

Meanwhile, the database unit 220 may store data on the facial features of the emergency patient generated through the facial feature generating unit 210 . This can be used as data for recognizing the face of an emergency patient in the future.

Next, in the fourth step (s40), after analyzing the past medical records of emergency patients through the medical assistance module 200 using deep learning artificial intelligence technology, 1) allergy-related drugs that require attention This is a step of forming first information and 2) second information related to emergency medicine. Here, the first information and the second information may form personal information and medical records for emergency patients stored in the database unit 220 through an algorithm applied with deep learning of the artificial intelligence processing unit 230 . At this time, it is preferable that the first information and the second information are formed in keyword units. Keywords can quickly deliver key contents in the emergency patient's actions during vehicle transportation.

To this end, the database unit 220 includes an allergy data unit 221 that stores allergy-causing causes, information on drugs to be noted according to allergic symptoms, and other medical information related to allergies, and information about symptoms that occur particularly frequently in emergency patients. It may include an emergency medicine data unit 222 that stores information related to emergency medicine that stores medical information such as coping methods.

A fifth step (s50) is a step of transmitting the first information and the second information to the server 300 in the emergency institution. Specifically, in the fifth step, the first information and the second information are transmitted to the rescuer's terminal 400 and the server 300 that are set in advance through the wireless transceiver 240 electrically connected to the medical assistance module 200. In addition, a dedicated app synchronized with the wireless transmission/reception unit 240 is installed in the terminal 400 to receive the first information and the second information in keyword units.

As the wireless transmission/reception unit 240 transmits keywords to the rescuer's terminal 400 in units of keywords, even a rescuer with relatively little medical knowledge can quickly respond to an emergency. Rescuers can check precautions according to emergency patients in taking appropriate first aid measures in an emergency situation that occurs during transport through a vehicle, and can select drugs that are safe for emergency patients in case of drug use. To this end, a dedicated app must be installed on the terminal 400 of the rescuer.

On the other hand, the wireless transceiver 240 transmits the first information and the second information to the server 300 in the emergency agency, and as feedback thereto, the emergency agency responds to the first information and the second information to supplement emergency measures. Additional third information may be transmitted to the medical assistance module 200 .

A method of taking an emergency patient while transporting a vehicle according to an embodiment of the present invention provides a quick first aid method for a severe emergency patient being transported through an emergency vehicle. In addition, the identity of the emergency patient can be easily identified based on past data, and accordingly, appropriate information can be provided to rescuers in taking emergency measures such as drug administration.

In the above, preferred embodiments of the present invention have been described by way of example, but the scope of the present invention is not limited only to these specific embodiments, and can be appropriately changed within the scope described in the claims.

100: piezoelectric sensor 110: area a
200: medical auxiliary module 205: housing part
210: facial feature generating unit 212: camera unit
214: infrared sensor unit 216: ultrasonic sensor unit
220: database unit
221: allergy data department 222: emergency medical data department
230: artificial intelligence processing unit 240: wireless transmission and reception unit
300: server 400: terminal
r, r1, r2, r3, r4, r5, r6: region of interest
a1 to a6: brightness information for the bridge of the nose
b1 to b6, c1 to c6: brightness information for lips

Claims (6)

A first step of generating an action event by detecting an emergency patient lying on an upper surface of a bed inside the vehicle through a piezoelectric sensor installed on the bed; a second step of switching an operation of a medical assistance module installed inside the vehicle to On according to the operation event; A third step of recognizing the face of the emergency patient through the medical assistance module to determine the identity; After analyzing the past medical records of emergency patients through the medical assistance module using deep-learning artificial intelligence technology, there is a high need for attention: 1) first information on allergy-related drugs and 2) second emergency medicine-related A fourth step of forming information in keyword units; And a fifth step of transmitting the first information and the second information to a server in an emergency institution through the medical assistance module;
The piezoelectric sensor is installed on the lower surface of the bed facing the area a where the upper body of the emergency patient is placed among the upper surfaces of the bed,
The medical auxiliary module includes a camera unit; an infrared sensor unit to further add facial features of the emergency patient extracted through the camera unit; an ultrasonic sensor unit providing three-dimensional information on facial features of the emergency patient; and a facial feature generation unit configured to receive data transmitted from the camera unit, the infrared sensor unit, and the ultrasonic sensor unit, respectively, and generate data on facial characteristics of the emergency patient.
After the fifth step, the emergency agency transmits third information for supplementing emergency measures corresponding to the first information and the second information to the medical assistance module,
The facial feature generating unit uses the data through the ultrasonic sensor unit as a correction coefficient when the data measured by the ultrasonic sensor unit generates an error with the data measured through the camera unit and the infrared sensor unit,
In the third step, identification is performed by comparing facial features in the ROI segmented into at least one of the faces of the emergency patient and ROI tags for the face of the emergency patient stored in advance, respectively. The feature is a plurality of brightness information measured from the lips, and the brightness information is arranged in a matrix form and expressed in numbers,
The area a is an area including a boundary between the first area and the second area when the bed is equally divided into thirds in the longitudinal direction.
delete According to claim 1,
The medical assistance module is
A method of taking an emergency patient while transporting a vehicle in which the camera unit, the infrared sensor unit, and the ultrasonic sensor unit are installed outside a housing unit fixedly installed in the vehicle.
delete delete According to claim 1,
In step 5, the first information and the second information are transmitted to a preset terminal of a rescuer and the server through a wireless transceiver electrically connected to the medical assistance module,
The terminal is installed with a dedicated app synchronized with the wireless transmission/reception unit in advance to receive the first information and the second information in keyword units.

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