KR20150090938A

KR20150090938A - Transmission system of real-time to status informaiton of emergency patient using Internet of Things

Info

Publication number: KR20150090938A
Application number: KR1020140011079A
Authority: KR
Inventors: 김형수; 고우리
Original assignee: 주식회사 글로비트
Priority date: 2014-01-29
Filing date: 2014-01-29
Publication date: 2015-08-07

Abstract

The present invention relates to a system for transmitting the condition information of an emergency patient using internet of things. The system for transmitting the condition information of the emergency patient using internet of things according to the present invention provides stereotypical sensing data through an Iot broker and monitors the condition of the patient by using an intelligent recognition framework through a medical equipment communication module in an ambulance to automatically select a multi-protocol, and performs a health care. The Iot broker enhances security and stability. The present invention checks the condition of the emergency patient in real time through the communication module, gives a first-aid treatment, and quickly transmits a vital signal of the patient to a medical staff in the ambulance.

Description

TECHNICAL FIELD [0001] The present invention relates to a real-time transmission system for emergency patient information using the Internet,

The present invention relates to a system for real-time transmission of emergency patient status information using the Internet of objects, and more particularly, to a system and method for real- A real-time transmission system of emergency patient status information using the Internet with objects equipped with a medical equipment communication module in an emergency transport vehicle so as to enable automatic selection of sensing data and a multiprotocol automatic sensing data through a real-time responsive Iot broker will be.

The present invention also relates to a terminal for collecting information transmitted from a medical device and transmitting the collected information to a server, an S / W and a service algorithm for analyzing the information collected through the medical device, It is equipped with a communication module that can be installed in the medical equipment in the vehicle, so that it can check the status of the emergency patient in real time and can perform emergency treatment and can transmit the patient's vital signal to the medical staff in the emergency vehicle. .

The term Internet of Things (IoT) first appeared in 1998 at the Massachusetts Institute of Technology (MIT) Auto-ID Lab. In 2005, ITU-T published its annual report entitled The Internet of Things, which predicted that the Internet would be the most basic framework for all the structures of the IT revolution. The report defines the Internet as "a new information communication infrastructure that enables people to connect all the things in the world with each other through a network so that they can communicate with each other, anywhere, between people and things". In other words, the Internet can be regarded as an infrastructure for realizing a ubiquitous space. This ubiquitous space starts with computing devices embedded with specific functions being embedded in the environment and objects, and the environment or objects themselves being intelligent. That is, the Internet refers to the Internet of the evolution of the wired communication based on the Internet and mobile Internet.

In the era of early wire communication, data exchange occurred only through connection between objects such as PC, and human intervention was required as an intermediary. However, due to the development of wireless communication technology, the range of communication with people, people, things and objects And intelligent communication (M2M), which enables autonomous communication between objects, has formed an intelligent relationship capable of sensing, controlling, exchanging and processing information among major components, and this is transformed into a service type.

The Internet of Things refers to the next generation Internet environment that has evolved from the concept of M2M to the concept of interacting with all the information of reality and virtual world by applying to Internet architecture beyond wireless communication. That is, the object Internet means a object space network that forms intelligent relationships such as sensing, networking, information exchange, and processing without human intervention among distributed components such as people, objects, and services.

The Internet of Things is a technology that provides us with a more convenient and safe life. Accordingly, various mobile communication companies and handset manufacturers are concentrating on development of terminals and services for Internet support for the next generation mobile services.

However, the Internet of Things is currently in its infancy, and no specific model for service provision has been established. Therefore, a concrete plan for providing such Internet service for objects is sought.

1. Method of Providing Internet Service (Method No. Providing Service No. 10-2012-0075462) 2. Home Intelligent Communication Based Home Network System and Method of Using the same (Home Network System based on Machine to Machine Communication and Using Method thereof) (HU No. 10-2010-0122616) 3. METHOD AND APPARATUS FOR SHARING CONTENTS UTILIZATION INFORMATION USING OBJECT INTELLECTUAL COMMUNICATIONS (Patent Application No. 10-2012-0011667)

In order to solve the above-described problems, the present invention provides an intelligent cognitive framework for monitoring patient health and healthcare by using a sensor connection hierarchy and a service, The present invention is to provide a real-time transmission system of emergency patient status information using the object Internet equipped with a medical equipment communication module in an emergency transportation vehicle so as to enable automatic selection of multiprotocol.

However, the objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.

In order to achieve the above object, according to an embodiment of the present invention, there is provided a real-time emergency patient state information transmission system using the Internet, which provides accuracy of a sensor in a web service, provides formalized sensing data and commands, Iot broker, which is capable of interlocking with sensors and controllers by enabling interlocking of sensors and controllers, and interworking with Iot broker and sensor node wirelessly, formulated sensing data and commands transmitted from sensor node (20) Automatic selection and processing to enhance security and privacy to enable patient status monitoring and healthcare using intelligent cognitive frameworks in emergency situations Sensor connection hierarchy and services in real-time response to sensors in web services connected to Iot Brocute (Broker), and the data It characterized in that it is configured to allow the protocol automatically selected.

At this time, the system for real-time transmission of emergency patient condition information using the Internet of objects according to the embodiment of the present invention is configured to interoperate with the Iot Broker 10 through the communication module / terminal provided in the emergency transportation vehicle, , Pulse rate, body temperature, blood pressure, direction, slope, blood pressure, pulse rate, respiration, body temperature, SpO ₂ value and the like through the Iot Broker. Includes wellness band module and multiaxial acceleration sensor, gyro sensor, geomagnetic sensor, microphone, GPS, vibration sensor and communication module of Bluetooth that can connect with home network service through position, audio and video information collection, Zigbee and Wi-Fi .

According to another aspect of the present invention, there is provided a system for real-time transmission of an emergency patient state information using the Internet, wherein when a fall of a user is detected through an acceleration sensing, a pulse and a slope recognition according to an operation of the wellness band module, (CDSS) based on the status information and the user's profile (medical history), inferring the behavior / human information based emergency situation, and transmitting the vital signal to the hospital such as the emergency room through the IoT borker Or analysis information of the analyzed biorhythm is transmitted.

According to an embodiment of the present invention, there is provided a real-time emergency patient state information transmission system using the Internet, comprising: a sensor connection hierarchical structure; Provides patient health monitoring and healthcare-enabled effects using intelligent cognitive frameworks via medical device communication modules to emergency transport vehicles to enable multi-protocol autoselection.

In addition, according to another embodiment of the present invention, the real-time emergency patient state information transmission system using the Internet can be used to check the status of a real-time emergency patient and emergency treatment through a communication module that can be installed in the medical equipment in the emergency transportation vehicle Vital signals of the patient can be quickly transmitted to the medical staff in the emergency vehicle, and a situation awareness framework and an open service platform can be used to predict the situation of the patient, Lt; / RTI >

1 is a diagram illustrating a network structure of an IoT broker in a real-time transmission system of emergency patient information using the Internet of the present invention.
FIG. 2 is a diagram illustrating a real-time transmission system of emergency patient state information using the Internet of objects according to an embodiment of the present invention. FIG.
3 is a block diagram illustrating a configuration of a wellness application and an emergency service according to an embodiment of the present invention.
4 is a view showing a process of measuring an activity amount using the three-axis acceleration sensor according to FIG. 3
FIG. 5 is a diagram showing a behavior recognition process using the three-axis acceleration sensor according to FIG. 3;
FIG. 6 is a diagram showing a fall detection process by the 3-axis acceleration sensor and pulse measurement according to FIG. 3
FIG. 7 is a graph showing the state of fall detection through acceleration sensing according to FIG. 6;

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a detailed description of preferred embodiments of the present invention will be given with reference to the accompanying drawings. In the following description of the present invention, detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

In the present specification, when any one element 'transmits' data or signals to another element, the element can transmit the data or signal directly to the other element, and through at least one other element Data or signal can be transmitted to another component.

FIG. 1 is a diagram illustrating a network structure of an IoT broker of a real-time transmission system of emergency patient information using the Internet of the present invention. The operation of the Io broker 10 is shown in FIG. 1, The sensor node 20 is connected to the sensor node 20 in a wireless manner, and the sensor node 20 is connected to the sensor node 20, The IoT application service 30 can provide various security services and IoT application services by automatically selecting and processing the transmitted standardized sensing data and commands to the Iot application service 30. The present invention can be implemented by using the IoT broker 10 Thereby providing a device and an operation for providing a wellness application and an emergency service.

FIG. 2 is a diagram illustrating a real-time emergency patient information real-time transmission system using the Internet of objects according to an embodiment of the present invention, and is a configuration for real-time transmission of emergency patient state information through the IoT broker 10, In case of an emergency, when the information related to the occurrence of an emergency patient is transmitted to the fire fighting and disaster prevention headquarters, the fire fighting and disaster prevention headquarters sends the emergency transportation vehicle equipped with the communication module and the data analysis program terminal to the medical equipment .

In this case, the communication module / terminal of the emergency transport vehicle is interlocked with the Iot Broker 10 and is equipped with a device capable of monitoring the patient condition using the intelligent cognitive framework and providing healthcare, , SpO ₂ level, etc., and transmits the patient's state data and vehicle location information to the network through the Iot Broker (10), and moves to the nearby hospital. On the other hand, when the emergency transportation vehicle arrives at the hospital, the estimated arrival time of the vehicle and the real-time data of the patient are transmitted to the hospital based on the patient's state data and the vehicle location information transmitted from the emergency transport vehicle through the IoT broker 10 The patient can proceed with the procedure.

That is, the patient status and health information transmitted from the emergency transport vehicle can be linked with the IoT broker 10 to monitor patient condition and healthcare through an intelligent framework.

FIG. 3 is a block diagram illustrating the configuration of the wellness application and the emergency service according to the configuration of FIG. 2. Referring to FIGS. 1 to 3, the configuration and operation of the wellness application and the emergency service are described. A wellness band module 2 equipped with an adapter communication module 1 between IoT brokers 10 and capable of being worn and attached to a wrist, a finger or the like is provided so as to confirm the condition of a patient or a user.

The wellness band module 2 can be linked to a home network service through acceleration, pulse, body temperature, blood pressure, direction, tilt, position, audio, video information collection, Zigbee, Wi-Fi, Sensor, geomagnetic sensor, microphone, GPS, vibration sensor, and Bluetooth communication module.

On the other hand, if the fall of the user is detected through the acceleration sensing, the pulse, and the slope recognition according to the operation of the wellness band module 1, the cognitive module 4 performs a clinic based on the vital signal and the situation information and the user's profile (CDSS), deduce the behavior / human information based emergency situation, transmit the vital signal to the hospital or other hospital through the IOT borker (10), or transmit the analysis information of the analyzed biorhythm do. Thereafter, according to the operation of the emergency transit vehicle shown in FIG. 2, emergency measures corresponding to the situation are taken or a notification service is provided to the carer.

On the other hand, a behavior classification apparatus for analyzing user behavior pattern and context recognition is installed at a specific location in the home, and it is possible to perform house security management, behavior pattern analysis, health management, user schedule analysis / management, The service module 7 is transmitted to the service module 7 through the wellness algorithm in consideration of various environmental information such as the ultraviolet ray intensity, the ultraviolet ray dimension, the temperature and humidity index, the discomfort index, the life index, the health movement index, Customized recommendation exercise, diet management, customized exercise method, lifestyle improvement service, recommendation service according to the situation, and information of feedback service through analysis of exercise pattern can be provided according to the user's condition.

In addition, the procedure of Clinical Decision Support Systems (CDSS) based on the vital signal, the context information, and the user's profile (medical history) is an interactive decision support system, It is the operating system which supports decision making about the state.

This classifies the disease using a random forest algorithm, generates a large number of decision trees using a randomly extracted set of cases, and determines the final class by weighting the discrimination classes of the generated decision tree. At this time, it is possible to generate a classifier having a certain level of accuracy with a small number of clinical cases through the bootstrap technique.

FIG. 4 is a diagram illustrating a process of measuring an activity amount using the three-axis acceleration sensor according to FIG. 3. FIG. 4 is a diagram illustrating a process of measuring an activity amount of a user through acceleration sensing, pulse and slope recognition according to the operation of the wellness band module 1 shown in FIG. In the procedure, the x, y, and z values are collected through the acceleration sensor, the refined data is acquired through the low passive filter, and the activity amount is derived.

First, the signal of each axis of the 3-axis acceleration sensor is transmitted to the sensor module PC wirelessly through the ZigBee using a window of 1 second interval, and the x, y, z 3 axis output value is passed through LPF (Low Pass Filter) And the value of energy is changed as shown in the following equation.

Thereafter, the metabolic rate MET (consuming 1 Kcal per 1 kg per hour) can be used to determine the rest energy standard and compare the activity with that.

It is possible to define the sum of the output vector magnitudes of one minute of the acceleration sensor as VM (Vector Magnitude) and to grasp the degree of activity of the user through the following MET conversion formula.

In other words, light activity can be classified into 3> MET, normal activity 3 ≤ MET <6, and heavy exercise 6 ≤ MET.

FIG. 5 illustrates a behavior recognition process using the three-axis acceleration sensor according to FIG. 3. Referring to FIG. 5, the behavior recognition process according to the operation of the wellness band module 1 shown in FIG. z values are collected, feature extraction is performed through FFT filtering, classification is performed through SVM (Support Vector Machine), and a behavior recognition process is performed through an acceleration sensor.

More specifically, the DC data values extracted for each action are converted into frequency bands using FFT, and the necessary features are extracted by analyzing the signals. The correlation between the energy values and axes is calculated for each frequency by each frequency unit, Machine) input value, it is separated into two classes from the sample data that is classified based on SVM based on the setting of the attitude conversion protocol to determine the static state and the dynamic state, and the activity state judgment.

The behavior recognition procedure is performed using the Optimal Separating Hyperplane (OSH), which is farthest from the closest sample data among the respective classes.

K is a Radial Bsis Function (RBF)

Y is the kernel parameter

FIG. 6 is a diagram illustrating a fall detection using a 3-axis acceleration sensor and a pulse measurement according to FIG. 3. Referring to FIG. 3, the fall sensing process according to the operation of the wellness band module 1 shown in FIG. y, and z values are collected, framed, and the speed signal inspection procedure is performed. Also, the pulse signal is measured by measuring and framing the pulse. And a fall detection and emergency state are determined by combining a behavior pattern and a pulse test result based on the inspected speed signal and the pulse signal.

That is, as shown in FIGS. 7A and 7B, the velocity signal is checked through the values collected through the acceleration sensor and compared with a patterned behavior pattern to judge whether or not the pulse falls, and the pulse value The pulses are compared with the patterned pulse test information to determine whether or not the pulse is fallen, and finally, the pulse is detected according to the change of pulse after the fall detection.

According to the above procedure, it is possible to transfer emergency patients through patient condition monitoring and health care using intelligent cognitive framework, and to provide the vital signs of patients in emergency vehicles to clinicians with high accuracy, Using the service platform, the patient's situation can be predicted in the system with the judgment of the medical staff.

The present invention can also be embodied as computer-readable codes on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored.

Examples of the computer-readable recording medium include a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device and the like, and also implemented in the form of a carrier wave (for example, transmission over the Internet) .

The computer readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner. And functional programs, codes, and code segments for implementing the present invention can be easily inferred by programmers skilled in the art to which the present invention pertains.

As described above, preferred embodiments of the present invention have been disclosed in the present specification and drawings, and although specific terms have been used, they have been used only in a general sense to easily describe the technical contents of the present invention and to facilitate understanding of the invention , And are not intended to limit the scope of the present invention. It is to be understood by those skilled in the art that other modifications based on the technical idea of the present invention are possible in addition to the embodiments disclosed herein.

1: Adapter communication module 2: Wellness band module
4: Falling awareness module 7: Service module
10: IoT Broker 20: Sensor node
30: IoT application server

Claims

Iot broker (10), which provides accuracy of sensor in web service, provides standardized sensing data and command, enables multi-protocol automatic selection and processing,
The sensor node 20 wirelessly interlocks with the sensor node 20 to formulate sensed data and commands sent to the Iot application service through multi-protocol automatic selection and processing to enhance security and privacy so that an intelligent cognitive framework It is structured to be able to automatically select the sensing data and the multi-protocol which are formulated through the Iot broker (real-time response) to the sensor in the web service connected to the sensor connection hierarchy and service so that patient condition monitoring and healthcare can be performed Real-time transmission system of emergency patient information using internet

The method according to claim 1,
The patient's state of consciousness, pupil reaction, blood pressure, pulse, respiration, body temperature, SpO ₂ value and the like are interlocked with the Iot Broker 10 through the communication module / terminal provided in the emergency transport vehicle, To transmit the status data of the patient and the vehicle location information to the network,
A wellness band module capable of associating with home network services through acceleration, pulse, body temperature, blood pressure, direction, tilt, position, audio, video information collection, Zigbee, Wi-Fi,
A system for real-time transmission of emergency patient information using the Internet, which includes a multi-axis acceleration sensor, a gyro sensor, a geomagnetic sensor, a microphone, a GPS, a vibration sensor and a Bluetooth communication module.

3. The method of claim 2,
If the fall of the user is detected through the acceleration sensing, the pulse and the slope recognition according to the operation of the wellness band module, the recognition module provides clinical decision (CDSS) based on the vital signal and the context information and the user's profile And the analysis information of the analyzed biorhythm is transmitted through the IoT borker by transmitting the vital signal to the hospital or the hospital through the IoT borker. Status information real time transmission system.