KR20180092130A - workers healthcare method using smartphone application - Google Patents

Abstract

According to the present invention, a method of managing the health of employees by using a smartphone application comprises: a screen output step in which an application is executed in a smartphone to output a main screen on a display under the control of a control part; a converting step in which the control part of the smartphone makes a request to a web service (210) of a server (200) through network communication and then receives and converts a biometric signal stored in a Hadoop distributed file system (HDFS)(230) of the server (200) into data able to be outputted on the display; and a data output step in which the control part matches the converted biometric signal data with each position of the main screen outputted on the display. As such, the employee health management method is capable of preventing accidents in industrial sites by identifying health condition based on a biometric signal of an employee in a safety management suit measuring the biometric signal; preventing accidents by analyzing the health state of an employee including stress level, exercise strength, movement, and behavior patterns through a bigdata-based server using a biometric signal such as electrocardiogram, accelerometer, or temperature sensed through a biometric signal sensor of the safety management suit; and preventing an industrial accident, improving productivity, and enhancing health by providing a continuous personalized health management service through a smartphone application.

Description

[0002] A workers healthcare method using a smartphone application,

The present invention relates to a health management method for workers through a smart phone application, and more particularly, to a health management system for a worker wearing a safety management workwear for measuring a bio-signal, , A bio-signal sensor of the safety management workwear, and a bio-signal such as an electrocardiogram, an acceleration, and a body temperature to analyze a state of a worker such as a stress state, an exercise intensity, Prevention of accidents, and providing personalized personalized health care services to workers through smartphone applications, thereby providing a health management method for workers through smartphone applications for preventing disasters, improving productivity, and promoting health.

Industry 4.0, named as the fourth industrial revolution, is transformed into a futuristic production system through the fusion of manufacturing and ICT. The network is linked to production and service elements, and information is exchanged for optimized production and health and safety management of workers. Emphasize.

Occupational accidents are increasing continuously in the industrial field. The number of accidents caused by accidents is 19%, 17.2%, and 16.4%, respectively. Tipping and pitting are the most common occurrences in manufacturing.

As a conventional technique, a safety work cloth of Registration No. 20-0356373 has a moisture-permeable waterproof layer formed on the back surface and a fabric colored on the surface of a fluorescent material. The front panel, the back panel, And a jacket or jacket having at least one band attached thereto.

For the industrial safety, only technologies considering only the environmental factors of the workplace have been developed as in the prior art, and the technology for understanding the health condition such as fatigue, concentration, stress, heart abnormality, lung capacity and carbon dioxide poisoning for the industrial workers Development is not being done properly.

As another conventional art, the construction site management system through the altitude detection of the worker disclosed in Japanese Laid-Open Patent Application No. 10-2016-0081430 detects the location of the floor of the work building where the workers are located and grasps the current position and the work information of the workers A tag terminal attached to the helmet of the operator to transmit tag information including a unique ID code and position information of an operator; A plurality of RFID tags installed in a worksite with an atmospheric pressure sensor incorporated therein and receiving tag information from the tag terminal and generating reception code information including the tag information and atmospheric pressure information detected by the atmospheric pressure sensor and a terminal code, Terminal; And atmospheric pressure information for the number of layers of the work building is stored in advance, and after receiving the reception code information from the reception terminal, matching the atmospheric pressure information of the reception code information with the atmospheric pressure information by the layer number, And a management server for generating control data for each work site by using the calculated number of layers of the work building and the position information of the worker. Management system "

However, the above-mentioned conventional techniques are constantly raising the problems of occupational diseases and industrial accidents, and industrial workers have different individual characteristics such as physical ability, proficiency level, and working environment. Therefore, .

The present invention relates to a health management method for a worker who uses a safety management work clothing for measuring a bio-signal through a smart phone application, Based on the biological signals such as electrocardiogram, acceleration, and body temperature, which are sensed by the sensor of the bio-signal of the robot, the safety state is analyzed by analyzing the state of the worker such as the stress state, exercise intensity, We provide a personalized health care service for employees through smartphone application, thereby providing a health management method for workers through smartphone application to prevent disasters, improve productivity, and promote health.

According to an embodiment of the present invention, there is provided a method for managing employee health through a smartphone application, the method comprising: a screen output step of executing an application on a smart phone and outputting a main screen to a display under control of a control unit; The control unit of the smart phone makes a request to the web service 210 of the server 200 through the network communication and transmits the biometric signal stored in the Hadoop Distributed File System (HDFS) 230 of the server 200 A conversion step of receiving data and converting the data so as to be output to a display; A data output step of matching the converted biometric signal data with each position of a main screen outputted on a display and displaying the same; .

According to the present invention, a health management method for a worker through a smart phone application is to prevent a work accident in an industrial field by grasping a health condition based on a bio-signal of a worker wearing a safety management work wear for measuring a bio signal, By using biometric signals such as electrocardiogram, acceleration, and body temperature sensed by the signal sensor, it is possible to prevent safety accidents by analyzing the state of workers such as stress state, exercise intensity, movement and behavior pattern in a server based on big data, By providing continuous, personalized healthcare services to employees through applications, it has a remarkable effect of preventing disasters, improving productivity, and promoting health.

1 is a conceptual diagram of the present invention
2 is a conceptual diagram of a bio-signal-based safety management work wear of the present invention
FIG. 3 is a view showing the configuration of a band attached to the inside of the safety management work wear based on the bio-
Fig. 4 is a block diagram of a sensor for a human body signal
5 is a conceptual diagram of a sensor for a body signal according to the present invention
FIG. 6 is a conceptual diagram of the method of the present invention
FIG. 7 is a conceptual diagram showing the intensity of exercise according to the age and the age in the output device of the present invention
FIG. 8 is a schematic diagram of a main screen output to the smartphone application of the present invention
9 is a diagram showing the configuration of a screen output to the output apparatus of the present invention

According to an embodiment of the present invention, there is provided a method for managing employee health through a smartphone application, the method comprising: a screen output step of executing an application on a smart phone and outputting a main screen to a display under control of a control unit; The control unit of the smart phone makes a request to the web service 210 of the server 200 through the network communication and transmits the biometric signal stored in the Hadoop Distributed File System (HDFS) 230 of the server 200 A conversion step of receiving data and converting the data so as to be output to a display; A data output step of matching the converted biometric signal data with each position of a main screen outputted on a display and displaying the same; .

In addition, after the data outputting step, the converting step and the data outputting step are performed at predetermined time intervals, and the control unit confirms the change of the biometric signal data stored in the server in real time and outputs the same to the display.

Also, a connection confirmation unit for confirming that the communication with the server is connected to the upper part is output to the main screen, and a state depending on the intensity of the exercise is checked in the lower part of the connection confirmation unit by a seek bar A detailed data output unit for outputting the number of steps, the average heart rate per minute, and the movement distance is output from the bio-signal data under the exercise intensity confirmation unit, and the sub- And a start and stop buttons are output to transmit the measurement date and time from the start to the stop and the user ID to the server when the stop signal is inputted to the control unit. And a time output unit for outputting a start time is output.

BRIEF DESCRIPTION OF THE DRAWINGS FIG.

FIG. 1 is a conceptual diagram of the present invention, FIG. 2 is a conceptual view of wearing a safety management work wear based on a bio-signal of the present invention, FIG. 3 is a structural view of a band attached inside a safety management work wear based on the bio- Fig. 5 is a conceptual diagram of a sensor for a body signal according to the present invention, Fig. 6 is a conceptual view of the method of the present invention, Fig. 7 is a conceptual diagram showing exercise intensity according to age and age in the output device of the present invention, Fig. 9 is a configuration diagram of a screen output to the output device of the present invention. Fig.

More specifically, the present invention provides a bio-signal-based safety management work wear (100) comprising: a work wear (110); A band 120 attached to the inner surface of the work cloth and made of elastic polyester fabric for minimizing human body grounding of the sensor and module for body signal; A body signal sensor 130 attached to the band; A module (140) for receiving and processing signals from the bio-signal sensor; A battery 150; A digital room 160 capable of transmitting a signal between the bio-signal sensor and the module or between the module and the battery; .

The work wear is usually a work wear worn by a user, and can be variously manufactured.

The band is manufactured in the form of an 'X' type or a 'type', and a digital chamber connects the electrocardiogram sensor and the module to the band, and is also coupled to connect the module and the battery.

The module may include a radio frequency filter (RIF), a high pass filter (HPF), an alternating current (AC) amplifier (AMP), a low pass filter (LPF) A digital signal processor (DSP), a memory, and a Bluetooth module.

Particularly, it is possible to use a radio frequency (RF) filter, a high pass filter (HPF), an alternating current (AC) amplifier, an amplifier, a low pass filter (LPF) A digital signal processor (DSP) is a data processing unit capable of processing data in real time at high speed while removing noise and amplifying signals.

The Bluetooth module uses a 4.0-based Bluetooth module capable of continuous and minimum power transmission of the data processed by the data processing unit.

The 4.0-based Bluetooth module is also referred to as BLE, and the optimal packet size to be transmitted is 20 bytes, and the packet size of 20 bytes is divided into Pkt No 1 byte, Offset 1 byte, Moving 17 bytes, and ChkSum 1 byte.

At this time, the equation for compressing the data to transmit the electrocardiogram 200 Hz and the acceleration 25 Hz in 1 second is as follows.

Sample (0) = Offset * 128 + Moving [0];

Sample (n) = Sample (n-1) + Diff;

In this case, the range of n is 1 to 16, and the Diff value changes as follows according to the change of the value of n.

if (Moving [n]) <128) Diff = Moving [n]; else Diff = -1 * (128-Moving [n]);

When the value of n is changed, the value of Moving [n] is also changed, and the range of Moving [n] is -127 to +127.

Therefore, the module receives the electrocardiogram signal of the electrocardiogram sensor from the module and outputs the electrocardiogram signal to a module such as a radiofrequency field (RIF) filter, a high pass filter (HPF), an alternating current (AC) A low pass filter (LPF), a digital signal processor (DSP), and stores the electrocardiogram signal in a memory, and transmits the electrocardiogram signal to a Bluetooth module.

The body signal sensor includes an ECG sensor, a heart rate sensor, and a three-axis acceleration sensor. The positive, negative, and ground terminals of the ECG sensor minimize movement And the like.

For example, a positive terminal is attached on the right chest, a ground (GND, Ground) terminal is attached to the bottom of the right chest, and a negative terminal is attached under the left chest.

The battery is mounted on the left chest and the module is positioned at the center of both chests to minimize discomfort when moving.

Meanwhile, the worker health management system using the bio-signal-based safety management workwear of the present invention includes a bio-signal-based safety management work wear with built-in sensors and modules for bio-signals; A server for receiving the bio-signal of the user from the bio-signal-based safety management workwear and analyzing and converting the bio-signal into data capable of determining the user's pattern; An output device for outputting health status data to a screen through data received from the server; .

The bio-signal-based safety management workwear is equipped with a bio-signal measurement module and a sensor. The bio-signal measured by the bio-signal measurement sensor is transmitted to a server through a communication unit. The server analyzes and stores the bio- The server analyzes biomedical signals based on Matlab (matrix laboratory), an engineering software that provides a numerical analysis and programming environment.

At this time, the MATLAB provides data mining that systematically and automatically finds statistical rules or patterns in a large amount of stored data.

The server uses HBase, which is a public relational distributed database for storing the data through a Hadoop Distributed File System (HDFS), and is applied to the Hadoop distributed file system. The Hadoop includes several It is a technology that processes large amounts of data by combining an inexpensive computer as if it were one.

The biosignal analysis algorithm is applied to the bio-signal data retrieved from the HBase, and the bio-signal data processed using the HiveQL (Hive Query Language) is stored in the hive.

The Hadoop distributed file system provides read / write integrity, HDFS storage, MapReduce, Java client, and API, and is optimized for service-oriented architecture (SOA) -based data storage and retrieval. will be.

Then, the server determines the behavior patterns, stresses, and heartbeat abnormalities of the workers through the algorithm using the electrocardiogram data among the bio-signals, analyzes the health indicators of the workers and analyzes the health status and the emergency situation through the algorithm .

In order to determine a behavior pattern, a kNN (k-Nearest Neighborhood) algorithm is applied based on an acceleration signal, and the behavior pattern is classified into a motion pattern, Define the data as Train Data.

The formula for analyzing the train data is as follows.

According to the result of the formula according to the behavior pattern, it is judged that 1 is no mount, 2 is rest, 3 is walk, 4 is run, and 5 is jump.

The sensor for the body signal comprises a conductive fabric, a conductive adhesive, and a release liner, and suitably has a size of 52 mm * 38 mm * 3.6 mm and has a resistance of 0.4? .

The body signal sensor can be detachably attached using a magnet.

In particular, a conductive cloth coated with a metal plasma is used so that the bio-signal sensor may be adhered to the body without any inconvenience, and the conductive cloth is formed by plasma coating using pure gold in consideration of skin compatibility.

Although the R peak is extracted for measuring the bio-signal, the accuracy of extracting the R peak is low in the section where the noise occurs.

The output device uses a computer or a smart phone. An application is installed in an output device. When the application is executed, electrocardiogram data sensed through an electrocardiogram sensor, pulse data sensed through a heart rate sensor, The acceleration data detected through the 3-axis acceleration is received and displayed on the screen.

The screen of the output device can be checked by the date of the health state analyzed by the server, the abnormal rhythm is detected through the change of the heartbeat in real time, the stress state is shown, and the average heart rate and the exercise amount are displayed.

The output device displays information on the intensity of exercise according to the state of the pulse data, and determines the number of heart beats according to the pulse data and the exercise intensity according to the set user's age.

For example, when the age is 20, when the heart rate is 200 bpm, the exercise intensity is 100%, and when the age is increased, the standard of exercise intensity 100% is decreased by 0.25% The standard bpm of 200 bpm * 0.975 is 200 bpm * 0.950, and 200 bpm * 0.950 is 200 bpm * 0.950 when the age is 30, 180 bpm, and when it is 70, 200 bpm * 0.875 becomes 175 bpm.

At this time, if the exercise intensity is less than 70% and the exercise intensity is less than 70%, the message "The present condition is most appropriate" is displayed on the screen of the output device. If the exercise intensity is less than 70% It is output as "I am currently in aerobic workout", and more than 90% is a dangerous section.

Meanwhile, the above exercise intensity can be correlated with the above-mentioned age-specific criteria. The reference exercise intensity is set to 20 to 200 bpm, 30 to 195 bpm, 40 to 190 bpm, 50 to 185 bpm, 60 to 180 bpm and 70 to 175 bpm So that differentiation can be made.

The display of the output device shows the number of real-time steps and the exercise distance according to the acceleration data.

In another embodiment of the present invention, sensors are attached to the bio-signal-based safety management work wear. The sensors include a noxious gas sensor capable of sensing a sulfur dioxide gas, a sound sensor for detecting noise, A dust sensor for detecting dust, and an ozone sensor for detecting ozone. At this time, the sensors use a common one, and detailed description of the sensor itself is omitted.

The sensors are connected to the module through a digital room to transmit a sensing signal to the module. The module receives the sensing signal from the sensors, processes the data through the data processor, and transmits the sensed signal to the server through the Bluetooth module .

The sensing signal includes noxious gas sensing data, noise sensing data, ultraviolet data, dust data, and ozone data.

The server receives the sensing signals of the respective sensors and transmits them to the output device.

The output device receives the sensing signal and outputs each data of the sensing signal to the display.

The numerical value of the noxious gas detection data for the last 24 hours is displayed as a text on the display of the output device and the text is displayed in green in the sense that it is safe when the numerical value of the noxious gas detection data is less than 0.05 ppm for the last 24 hours, The text is displayed in orange as a warning in the case of over 0.05ppm over 0.15ppm for a period of time, and the text is shown in red as a danger if it exceeds 0.15ppm over the last 24 hours.

Then, the noise detection data is displayed in a time-dependent graph (y-axis is a numerical value and x-axis is a time graph), but the bars corresponding to each time are green when less than 55 dBA, , And when it exceeds 85dBA, it appears in red. In particular, when the output exceeds 85 dBA, an alert window "Please use earplugs" is displayed on the screen of the output device.

In addition, if the amount of ultraviolet data is less than 50 μg / m 2 in 24 hours, the text 1 is output in green to indicate that it is in the first step, and 50 μg / / M 2 is less than 6 hours in 24 hours, text 2 is displayed in orange to indicate that it is in the second stage and slightly worse. If the condition is more than 50 μg / It outputs text 3 in red to indicate badness.

If the concentration of the particulate matter data is less than 30 μg / m 3, the step outputs the text in blue to indicate that the first step is performed. If the concentration is more than 30 μg / m 3 and less than 80 μg / m 3 In order to indicate that it is normal, the text is output in green. When the concentration is more than 80 μg / m 3 and 150 μg / m 3 or less, the text is output in orange to show three stages, and when it exceeds 150 μg / m 3 It is a four-step process that prints out the text in red to indicate very bad.

The ozone data is output in four steps. If the ozone data is less than 0.030 μg / m 3, the text is output in blue to indicate that the ozone data is in a first stage. If the ozone data is more than 0.030 μg / m 3 and less than 0.090 μg / In order to indicate that it is normal, the text is output in green. If the concentration is more than 0.090 μg / m 3 and less than 0.150 μg / m 3, the text is displayed in orange to indicate that it is in three stages. If it exceeds 0.150 μg / It is a four-step process that prints out the text in red to indicate very bad.

Particularly, the output device outputs an alert message "It is dangerous to act in the outdoor environment" when the control unit judges that the dust data and the ozone data are three or more stages (three or four stages) respectively.

On the other hand, the start and stop buttons are displayed on the screen. When the user stops the program, the electrocardiogram data and the acceleration data measured until now are stored, and then the measurement date and time and the user ID are transmitted to the server together with the stored data, And can be stored in the server.

According to the present invention, an emergency situation can be grasped in real time in an industrial field by communicating with a server using an internet (IoT), and an IoT-based health care system used in various places such as a home, a company, . &Lt; / RTI &gt;

Meanwhile, the monitoring method using the worker health management system using the bio-signal-based safety management workwear transmits a signal sensed by the bio-signal sensor provided in the bio-signal-based safety management work wear to the web service of the server.

Then, the Web service requests the database of the server to insert or delete the algorithm, or requests the Hadoop Distributed File System (HDFS) of the server to store the algorithm.

At this time, the database inserts or deletes an algorithm according to an algorithm insertion or deletion request. The Hadoop distributed file system stores an algorithm when requesting an algorithm storage, and then transmits an algorithm to a web service to execute a stored algorithm.

The web service receiving the algorithm searches and applies the algorithm, searches for applied data, and sends a Simple Object Access Protocol (SOAP) message to the service, and outputs the service through the output device.

Meanwhile, the Simple Object Access Protocol (SOAP) is a technology for communicating objects among the Internet.

In addition, the bio-signal-based safety management work wear applies a bio-signal algorithm to a signal sensed through a bio-signal sensor provided through Matlab, and then transmits a Simple Object Access Protocol (SOAP) message to the web service .

A command for applying the algorithm of the Matlab is as follows.

function [maxIdx, maxVal, endIdx] = Detection (data, FS)

if nargin <2

FS = 100;

end

fs = FS; fl = 60; fh = 5;

maxIdx = []; maxVal = []; maxIdx = [];

rawData = data;

dcRemData = rawData-mean (rawData);

lpData = lpassfilter (dcRemData, fl, fs);

hpData = hpassfilter (lpData, fh, fs);

diffData = diff (hpData);

sqrData = diffData * diffData;

window = ones (1,30);

integral = medfilt1 (filter (window, 1, sqrData), 10);

delay = ceil (length (window) / 2);

integralData = integral (delay: length (integral));

max_h = max (integralData);

thresh = 0.3;

peak_reg = integralData > (thresh * max_h);

sIndex = find (diff ([0 peak_reg ']) == 1);

eIndex = find (diff (peak_reg '0)) == - 1);

Therefore, the algorithm is applied through the above-mentioned Matlab command.

Meanwhile, when using a smartphone equipped with an application as the output device, a worker health management method using the smartphone application of the present invention includes a screen output step of executing an application on a smart phone and outputting a main screen to a display under the control of a controller; The control unit of the smart phone makes a request to the web service 210 of the server 200 through the network communication and transmits the biometric signal stored in the Hadoop Distributed File System (HDFS) 230 of the server 200 A conversion step of receiving data and converting the data so as to be output to a display; A data output step of matching the converted biometric signal data with each position of a main screen outputted on a display and displaying the same; .

In the screen output step, the login screen is output before the main screen, and a login screen for inputting the user ID is output. When the user ID is input, the main screen is displayed.

After the data outputting step, the converting step and the data outputting step are performed at predetermined time intervals. The control unit confirms the change of the biometric signal data stored in the server in real time and outputs the same to the display.

A connection confirmation part for confirming that communication with the server is connected to the upper part is output to the main screen and a state depending on the intensity of the exercise is checked in the lower part of the connection confirmation part by a seek bar A detailed data output unit for outputting the number of steps, the average heart rate per minute and the movement distance is output from the bio-signal data under the exercise intensity confirmation unit, and a signal is sent to the control unit under the detailed data output unit A start and stop button is output to transmit the measurement date and time and the user ID from the start to the stop to the server when the stop signal is inputted to the control unit, The time output unit is output.

The connection confirmation unit identifies words that can be verified as connection refused, connected, connected, disconnected, etc. under the control of the control unit so as to check the communication connection status with the server .

For example, in the case of being connected, it outputs "Connected" in English to the connection confirmation section so that the user can confirm the connection.

The exercise intensity verifying unit may include a seek bar outputting a bar so as to move left and right according to the exercise intensity data and a user's exercise intensity according to the position of the bar varying according to the exercise intensity data on the seek bar. And a description text view in which the state of the exercise intensity is displayed as text in the upper part of the bar position when the exercise intensity is 50%, 75%, and 100% so that the exercise intensity can be confirmed.

The exercise intensity displayed on the explanatory text view is divided into fat burning at 50%, weight loss at 75%, and warning at 100%.

The detailed data output unit includes three text views arranged horizontally so that the number of steps, the average heart rate per minute, and the moving distance data can be numerically confirmed in the exercise intensity data.

In this case, the average heart rate is rounded to the nearest first decimal place and outputted as an integer. The moving distance is output in km units, rounding up to two decimal places and outputting to the first decimal place.

The start and stop buttons are buttons that are changed to a stop button when the start button is pressed and a start button when the stop button is pressed.

When the start button is pressed, the start signal is transmitted to the control unit. The control unit changes the start button to the end button, and then stores the date and time when the start signal is input.

When the end button is pressed, an end signal is transmitted to the control unit. After changing the end button to the start button, the control unit transmits a measurement date and time including the date and time when the start signal was input, The measurement date and time for each user are stored in the server.

The time output unit includes a measurement time unit for outputting the measurement time on the left side and a start time unit for outputting the start time on the right side. The control unit outputs a time obtained by subtracting the time of inputting the start signal from the current time, And the time at which the start signal is input is output to the start time portion.

In this case, the minimum unit of the time output to the measurement time unit is the unit of seconds, and the minimum unit of the time output to the start time unit is the minute unit.

Therefore, the monitoring method using the safety management work clothes based on the bio-signal based on the present invention can detect the health state based on the bio signal of the workers wearing the safety management work clothes for measuring the bio signal, The present invention relates to a method and system for analyzing a state of a worker such as a stress state, a workout intensity, a movement and a behavior pattern in a server based on a big data by utilizing bio-signals such as an electrocardiogram, an acceleration and a body temperature sensed through a bio- To prevent accidents and to provide continuous personalized healthcare services for employees through smartphone applications, thereby preventing disasters, improving productivity, and promoting health.

100: Bio-signal-based safety management work clothes
110: Work clothes
120: Band
130: Sensor for physical signals
140: Module
150: Battery
160: Digital room
200: Server
210: Web Services
220: Database
230: Hadoop Distributed File System (HDFS)

Claims (3)

A screen output step of executing an application on a smart phone and outputting a main screen to a display under the control of the control unit; The control unit of the smart phone makes a request to the web service 210 of the server 200 through the network communication and transmits the biometric signal stored in the Hadoop Distributed File System (HDFS) 230 of the server 200 A conversion step of receiving data and converting the data so as to be output to a display; A data output step of matching the converted biometric signal data with each position of a main screen outputted on a display and displaying the same; A method for managing health of a worker through a smart phone application 2. The method according to claim 1, wherein the converting step and the data output step are performed at predetermined time intervals after the data output step, and the control unit confirms the change of the biometric signal data stored in the server in real time and outputs the same to the display How to manage workers' health through phone application 2. The apparatus according to claim 1, wherein a connection confirmation unit for confirming that communication with the server is connected to the main screen is output to the main screen, A detailed data output unit for outputting the number of steps, the average heart rate per minute, and the movement distance is output from the bio-signal data under the exercise intensity confirmation unit, and the detailed data output unit A start and stop button is output to control the start and stop by sending a signal to the control unit and the measurement date and time from start to stop and the user ID to the server when the stop signal is inputted to the control unit, And a time output unit for outputting a measurement time and a start time is output to the smartphone application Health care workers how through the design

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