This document describes a proposed healthy sport monitoring system that uses wearable biometric sensors and wireless communication technologies. The system is intended to allow sports consultants to remotely monitor individuals' vital signs during physical activity in real-time. This would help consultants design safe and effective workout plans and identify any potential health issues. The system would use the Arduino and E-Health sensor platform to collect data from sensors measuring pulse, respiration, temperature and other biometrics. Data would be sent via 3G to an application where consultants can view readings, set limits, and generate reports. The goal is to encourage safe physical activity while reducing health monitoring costs.
Smartphone based wearable sensors for cyborgs using neural network enginedayanabenny
Now we can imagine a situation where human beings wear electronic skin as touch sensors for health monitoring system. There is a recent advancement in developing a system that uses wireless sensors placed on body and collected sensor information are dealt with smart phone applications. This application uses cloud computing, location data and a neural network engine to determine the current state of a patient is dangerous or not. Electronic skin modules mount spatially on human beings. The neural network engine fuses the information from multiple sensors.
Smart health monitoring system using IoT based smart fitness mirrorTELKOMNIKA JOURNAL
The smart fitness mirror proposed in this researchaims to provide the users with a platform to monitor their health and fitness status on a daily basis. The system employs a number of sensors to monitor the body mass index (BMI) and amount of body fat present in the user’s body. A weight scale consisting of four load sensors has been implemented to obtain the weight of the user whereas an ultrasonic sensor has been used to measure the height of the user. In addition, four electrode plates have been implemented on the foot weight scale to infuse a small amount of electric current (1mA) for BIA (bioelectrical impedance analysis) to estimate the amount of body fat percentage, lean body mass and total body water. An IR temperature sensor has been implemented in the research to measure the temperature of the user’s body from the forehead. Tests conducted on the system illustrate that it is able to accurately compute the body mass index and perform a bioelectrical impedance analysis on the user. The system is able to achieve a 92.5 % and 93.7 % accuracy in determining the body mass index and body fat percentage respectively. An accuracy of 95.3 % was observed in the determination of the body temperature.
Real-time Heart Pulse Monitoring Technique Using Wireless Sensor Network and ...IJECEIAES
Wireless Sensor Networks (WSNs) for healthcare have emerged in the recent years. Wireless technology has been developed and used widely for different medical fields. This technology provides healthcare services for patients, especially who suffer from chronic diseases. Services such as catering continuous medical monitoring and get rid of disturbance caused by the sensor of instruments. Sensors are connected to a patient by wires and become bed-bound that less from the mobility of the patient. In this paper, proposed a real-time heart pulse monitoring system via conducted an electronic circuit architecture to measure Heart Pulse (HP) for patients and display heart pulse measuring via smartphone and computer over the network in real-time settings. In HP measuring application standpoint, using sensor technology to observe heart pulse by bringing the fingerprint to the sensor via used Arduino microcontroller with Ethernet shield to connect heart pulse circuit to the internet and send results to the web server and receive it anywhere. The proposed system provided the usability by the user (userfriendly) not only by the specialist. Also, it offered speed andresults accuracy, the highest availability with the user on an ongoing basis, and few cost.
As elderly population increases day by day caretaking demands are also increasing. Hence patient health monitoring systems are gaining importance these days. This paper is based on monitoring of patients. We have designed and developed a reliable, energy efficient patient monitoring system. It is able to send parameters of patient in real time. It enables the doctors to monitor patient's health parameters (temp, heartbeat, ECG, position) in real time. In the current proposed system the patient health is continuously monitored using different sensors which is connected to the Arduino board. And the acquired data is send to the server using Ethernet shield attached to the Arduino board. If any of the parameter values goes beyond the threshold value an alert is given to the doctor using an Android application installed in the doctor’s smartphone.
Smartphone based wearable sensors for cyborgs using neural network enginedayanabenny
Now we can imagine a situation where human beings wear electronic skin as touch sensors for health monitoring system. There is a recent advancement in developing a system that uses wireless sensors placed on body and collected sensor information are dealt with smart phone applications. This application uses cloud computing, location data and a neural network engine to determine the current state of a patient is dangerous or not. Electronic skin modules mount spatially on human beings. The neural network engine fuses the information from multiple sensors.
Smart health monitoring system using IoT based smart fitness mirrorTELKOMNIKA JOURNAL
The smart fitness mirror proposed in this researchaims to provide the users with a platform to monitor their health and fitness status on a daily basis. The system employs a number of sensors to monitor the body mass index (BMI) and amount of body fat present in the user’s body. A weight scale consisting of four load sensors has been implemented to obtain the weight of the user whereas an ultrasonic sensor has been used to measure the height of the user. In addition, four electrode plates have been implemented on the foot weight scale to infuse a small amount of electric current (1mA) for BIA (bioelectrical impedance analysis) to estimate the amount of body fat percentage, lean body mass and total body water. An IR temperature sensor has been implemented in the research to measure the temperature of the user’s body from the forehead. Tests conducted on the system illustrate that it is able to accurately compute the body mass index and perform a bioelectrical impedance analysis on the user. The system is able to achieve a 92.5 % and 93.7 % accuracy in determining the body mass index and body fat percentage respectively. An accuracy of 95.3 % was observed in the determination of the body temperature.
Real-time Heart Pulse Monitoring Technique Using Wireless Sensor Network and ...IJECEIAES
Wireless Sensor Networks (WSNs) for healthcare have emerged in the recent years. Wireless technology has been developed and used widely for different medical fields. This technology provides healthcare services for patients, especially who suffer from chronic diseases. Services such as catering continuous medical monitoring and get rid of disturbance caused by the sensor of instruments. Sensors are connected to a patient by wires and become bed-bound that less from the mobility of the patient. In this paper, proposed a real-time heart pulse monitoring system via conducted an electronic circuit architecture to measure Heart Pulse (HP) for patients and display heart pulse measuring via smartphone and computer over the network in real-time settings. In HP measuring application standpoint, using sensor technology to observe heart pulse by bringing the fingerprint to the sensor via used Arduino microcontroller with Ethernet shield to connect heart pulse circuit to the internet and send results to the web server and receive it anywhere. The proposed system provided the usability by the user (userfriendly) not only by the specialist. Also, it offered speed andresults accuracy, the highest availability with the user on an ongoing basis, and few cost.
As elderly population increases day by day caretaking demands are also increasing. Hence patient health monitoring systems are gaining importance these days. This paper is based on monitoring of patients. We have designed and developed a reliable, energy efficient patient monitoring system. It is able to send parameters of patient in real time. It enables the doctors to monitor patient's health parameters (temp, heartbeat, ECG, position) in real time. In the current proposed system the patient health is continuously monitored using different sensors which is connected to the Arduino board. And the acquired data is send to the server using Ethernet shield attached to the Arduino board. If any of the parameter values goes beyond the threshold value an alert is given to the doctor using an Android application installed in the doctor’s smartphone.
There are a number of scopes for IoT in order to make a difference in lives of patients. The devices can capture as well as monitor related data regarding patient and allows the providers to obtain the insights without bringing the patients visiting. The procedure can assist the patient results as well as preventing the possible communications for the process that involves risk. However, lack of electronic health record (EHR) system integration is one of the major issues faced while using IoT in healthcare. Some of the EHR systems allow the patients importing data into the record. However, it remains limited to a few dominant where the EHR players as well as leaves providers unspecific of the processing data that can be helpful for the organization to use the process. The challenges for interoperability in order to keep data in distinctive medical devices depend on the purpose and ordering physician. by Vishal Dineshkumar Soni 2018. An IoT Based Patient Health Monitoring System. International Journal on Integrated Education. 1, 1 (Dec. 2018), 43-48. DOI:https://doi.org/10.31149/ijie.v1i1.481. https://journals.researchparks.org/index.php/IJIE/article/view/481/458 https://journals.researchparks.org/index.php/IJIE/article/view/481
What is the Internet of Medical Things (IoMT).pdfinsightscare
This article mentions what the Internet of Medical Things is, its' importance, & how it is being used in the healthcare industry & a few prominent devices
Intelligent Healthcare Monitoring in IoTIJAEMSJORNAL
The developing of IoT-based health care systems must ensure and increase the safety of the patients, their quality of life and other health care activities. We may not be aware of the health condition of the patient during the sleeping hours. To overcome this problem. This paper proposes an intelligent healthcare monitoring system which monitors and maintains the patient health condition at regular intervals. The heart rate sensor and temperature sensor would help us analyze the patients’ current health condition. In case of major fluctuations in consecutive intervals a buzzer is run in order to notify the hospital staff and doctors. The monitored details are stored in the cloud "ThingSpeak". The doctor can view the patient health condition using Virtuino simulator. This system would help in reducing the random risks of tracing a patient medical highly. Arduino UNO is used to implement this intelligent healthcare monitoring system.
ody Information Analysis based Personal Exercise Management System IJECEIAES
Recently, people's interest in health is deepening. So health-related systems are being developed. Existing exercise management systems provided users with exercise related information using PC or smart phone. However, there is a problem that the accuracy of the algorithm for analyzing the user's body information and providing information is low.In this paper, we analyze users' body mass index (BMI) and basal metabolic rate (BMR) and we propose a system that provides the user with necessary information through recommendation algorithm. It informs the user of exercise intensity and momentum, and graphs the exercise history of the user. It also allows the user to refer to the fitness history of other users in the same BMI group. This allows the user to receive more personalized services than the existing exercise management system, thereby enabling efficient exercise.
There are a number of scopes for IoT in order to make a difference in lives of patients. The devices can capture as well as monitor related data regarding patient and allows the providers to obtain the insights without bringing the patients visiting. The procedure can assist the patient results as well as preventing the possible communications for the process that involves risk. However, lack of electronic health record (EHR) system integration is one of the major issues faced while using IoT in healthcare. Some of the EHR systems allow the patients importing data into the record. However, it remains limited to a few dominant where the EHR players as well as leaves providers unspecific of the processing data that can be helpful for the organization to use the process. The challenges for interoperability in order to keep data in distinctive medical devices depend on the purpose and ordering physician.
Activity and health monitoring systems
This paper presents an Open Platform Activity and health monitoring systems which are also called e-Health systems. These systems measure and store parameters that reflect changes in the human body. Due to continuous monitoring (e.g. in rest state and in physical effort state), a specialist can learn about the individual's physiological parameters. Because the human body is a complex system, the examiner can notice some changes within the body by looking at the physiological parameters. Six different sensors ensure us that the patient's individual parameters are monitored. The main components of the device are: A Raspberry Pi 3 small single-board computer, an e-Health Sensor Platform by Cooking-Hacks, a Raspberry Pi to Arduino Shields Connection Bridge and a 7-inch Raspberry Pi 3 touch screen. The processing unit is the Raspberry Pi 3 board. The Raspbian operating system runs on the Raspberry Pi 3, which provides a solid base for the software. Every examination can be controlled by the touch screen. The measurements can be started with the graphical interface by pressing a button and every measured result can be represented on the GUI’s label or on the graph. The results of every examination can be stored in a database. From that database the specialist can retrieve every personalized data
In the present research, the synthesis of silver nanoparticles by the green method is done using stem and leaves aqueous
extract of Tinospora cordifolia (T.C). The pathway of nanoparticles formation is by means of reduction of silver nitrate by
extracts, which act as both reducing and capping agents. The silver nanoparticles characterized by UV-Vis-spectrometer, Fourier
transform infra-red spectroscopy, X-ray diffractometer, Scanning electron microscopy, Energy dispersive spectroscopy. The sizes
of the synthesized silver nanoparticles are found to be in the range of 27- 58 nm. The energy dispersive spectrum confirmed the
presence of silver metal. The silver nanoparticles synthesized in this process have the efficient antimicrobial activity against
pathogenic bacteria like Bacillus subtilis, Escherichia coli, Klebsiella pneumonia, proteus mirabilis, Staphylococcus aureus
and Serratia marcescens using paper disc diffusion method.
Internet of Things IoT Based Healthcare Monitoring System using NodeMCU and A...ijtsrd
Today Internet has become one of the important parts of daily life. It has changed how people live, work, play and learn. Internet serves for many purposes educations, finance, Business, Industries, Entertainment, Social Networking, etc. The IoT is connected objects to the Internet and used to control of those objects or remote monitoring. A health care monitoring system is necessary to constantly monitor the patient's physiological parameters. The main advantage of this system is that the results can be viewed at any time and place. The doctors can be notified by using mobile phones messages if patient health is abnormal. In this system, heartbeat sensor, temperature sensor and blood pressure sensor are used. The system can analyze the signal to detect normal or abnormal conditions. In the system, the internet of things IoT is becoming a major platform for many services and applications. The IoT is generally considered as connecting objects to the Internet and using that connection for control of those objects or remote monitoring. Khin Thet Wai | Nyan Phyo Aung | Lwin Lwin Htay "Internet of Things (IoT) Based Healthcare Monitoring System using NodeMCU and Arduino UNO" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26482.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26482/internet-of-things-iot-based-healthcare-monitoring-system-using-nodemcu-and-arduino-uno/khin-thet-wai
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is an open access international journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
There are a number of scopes for IoT in order to make a difference in lives of patients. The devices can capture as well as monitor related data regarding patient and allows the providers to obtain the insights without bringing the patients visiting. The procedure can assist the patient results as well as preventing the possible communications for the process that involves risk. However, lack of electronic health record (EHR) system integration is one of the major issues faced while using IoT in healthcare. Some of the EHR systems allow the patients importing data into the record. However, it remains limited to a few dominant where the EHR players as well as leaves providers unspecific of the processing data that can be helpful for the organization to use the process. The challenges for interoperability in order to keep data in distinctive medical devices depend on the purpose and ordering physician. by Vishal Dineshkumar Soni 2018. An IoT Based Patient Health Monitoring System. International Journal on Integrated Education. 1, 1 (Dec. 2018), 43-48. DOI:https://doi.org/10.31149/ijie.v1i1.481. https://journals.researchparks.org/index.php/IJIE/article/view/481/458 https://journals.researchparks.org/index.php/IJIE/article/view/481
What is the Internet of Medical Things (IoMT).pdfinsightscare
This article mentions what the Internet of Medical Things is, its' importance, & how it is being used in the healthcare industry & a few prominent devices
Intelligent Healthcare Monitoring in IoTIJAEMSJORNAL
The developing of IoT-based health care systems must ensure and increase the safety of the patients, their quality of life and other health care activities. We may not be aware of the health condition of the patient during the sleeping hours. To overcome this problem. This paper proposes an intelligent healthcare monitoring system which monitors and maintains the patient health condition at regular intervals. The heart rate sensor and temperature sensor would help us analyze the patients’ current health condition. In case of major fluctuations in consecutive intervals a buzzer is run in order to notify the hospital staff and doctors. The monitored details are stored in the cloud "ThingSpeak". The doctor can view the patient health condition using Virtuino simulator. This system would help in reducing the random risks of tracing a patient medical highly. Arduino UNO is used to implement this intelligent healthcare monitoring system.
ody Information Analysis based Personal Exercise Management System IJECEIAES
Recently, people's interest in health is deepening. So health-related systems are being developed. Existing exercise management systems provided users with exercise related information using PC or smart phone. However, there is a problem that the accuracy of the algorithm for analyzing the user's body information and providing information is low.In this paper, we analyze users' body mass index (BMI) and basal metabolic rate (BMR) and we propose a system that provides the user with necessary information through recommendation algorithm. It informs the user of exercise intensity and momentum, and graphs the exercise history of the user. It also allows the user to refer to the fitness history of other users in the same BMI group. This allows the user to receive more personalized services than the existing exercise management system, thereby enabling efficient exercise.
There are a number of scopes for IoT in order to make a difference in lives of patients. The devices can capture as well as monitor related data regarding patient and allows the providers to obtain the insights without bringing the patients visiting. The procedure can assist the patient results as well as preventing the possible communications for the process that involves risk. However, lack of electronic health record (EHR) system integration is one of the major issues faced while using IoT in healthcare. Some of the EHR systems allow the patients importing data into the record. However, it remains limited to a few dominant where the EHR players as well as leaves providers unspecific of the processing data that can be helpful for the organization to use the process. The challenges for interoperability in order to keep data in distinctive medical devices depend on the purpose and ordering physician.
Activity and health monitoring systems
This paper presents an Open Platform Activity and health monitoring systems which are also called e-Health systems. These systems measure and store parameters that reflect changes in the human body. Due to continuous monitoring (e.g. in rest state and in physical effort state), a specialist can learn about the individual's physiological parameters. Because the human body is a complex system, the examiner can notice some changes within the body by looking at the physiological parameters. Six different sensors ensure us that the patient's individual parameters are monitored. The main components of the device are: A Raspberry Pi 3 small single-board computer, an e-Health Sensor Platform by Cooking-Hacks, a Raspberry Pi to Arduino Shields Connection Bridge and a 7-inch Raspberry Pi 3 touch screen. The processing unit is the Raspberry Pi 3 board. The Raspbian operating system runs on the Raspberry Pi 3, which provides a solid base for the software. Every examination can be controlled by the touch screen. The measurements can be started with the graphical interface by pressing a button and every measured result can be represented on the GUI’s label or on the graph. The results of every examination can be stored in a database. From that database the specialist can retrieve every personalized data
In the present research, the synthesis of silver nanoparticles by the green method is done using stem and leaves aqueous
extract of Tinospora cordifolia (T.C). The pathway of nanoparticles formation is by means of reduction of silver nitrate by
extracts, which act as both reducing and capping agents. The silver nanoparticles characterized by UV-Vis-spectrometer, Fourier
transform infra-red spectroscopy, X-ray diffractometer, Scanning electron microscopy, Energy dispersive spectroscopy. The sizes
of the synthesized silver nanoparticles are found to be in the range of 27- 58 nm. The energy dispersive spectrum confirmed the
presence of silver metal. The silver nanoparticles synthesized in this process have the efficient antimicrobial activity against
pathogenic bacteria like Bacillus subtilis, Escherichia coli, Klebsiella pneumonia, proteus mirabilis, Staphylococcus aureus
and Serratia marcescens using paper disc diffusion method.
Internet of Things IoT Based Healthcare Monitoring System using NodeMCU and A...ijtsrd
Today Internet has become one of the important parts of daily life. It has changed how people live, work, play and learn. Internet serves for many purposes educations, finance, Business, Industries, Entertainment, Social Networking, etc. The IoT is connected objects to the Internet and used to control of those objects or remote monitoring. A health care monitoring system is necessary to constantly monitor the patient's physiological parameters. The main advantage of this system is that the results can be viewed at any time and place. The doctors can be notified by using mobile phones messages if patient health is abnormal. In this system, heartbeat sensor, temperature sensor and blood pressure sensor are used. The system can analyze the signal to detect normal or abnormal conditions. In the system, the internet of things IoT is becoming a major platform for many services and applications. The IoT is generally considered as connecting objects to the Internet and using that connection for control of those objects or remote monitoring. Khin Thet Wai | Nyan Phyo Aung | Lwin Lwin Htay "Internet of Things (IoT) Based Healthcare Monitoring System using NodeMCU and Arduino UNO" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26482.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26482/internet-of-things-iot-based-healthcare-monitoring-system-using-nodemcu-and-arduino-uno/khin-thet-wai
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is an open access international journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
A review paper on smart health care system using internet of thingseSAT Journals
Abstract Health is fundament need. And it is human right to get quality Health Care. Nowadays India is facing many health issues because
of less resource. This review paper presents the idea of solving health issues using latest technology, Internet of Things. It
presents the architectural review of smart health care system using Internet of Things which is aimed to provide Quality Health
Care to everyone. Using this system architecture, patients’ body parameters can be measure in real time. Sensors collects patients
body parameters and transfers that data to Arduino Uno which further transfer that data to cloud with the help of WiFI module.
This data is stored into MySql database server which manages data and provides accessibility. User can view this data with the
help of Android App. Which one can install in Smart phone, Tablet or PC. Cloud computing handles authentication, privacy,
security, data management etc. If data is abnormal then patient gets notification also care takers will get mail. With the help of
different decision making algorithms decisions can be made and according to it people have access to database. Patient can check
their medical record Hence, this system provides Quality Health Care to everyone and error free and smooth communication to
patients.
Keywords: IOT, e-health, Arduino Uno
The heart is a vital organ that serves to pump blood to the whole body. A heart rate can be used as a healthy body parameter conditions. Growing evidence suggests that IT-based health records play essential role to drive medical revolution especially on data storage and processing. The heart rate measurement (HRM) process usually involves wearable sensor devices to record patient’s data. This data is recorded to help the doctors to analyze and provide a better diagnose in order to determine the best treatment for the patients. Connecting the sensor system through a wireless network to a cloud server will enable the doctor to monitor remotely. This paper presents fit-NES wearable bracelet, an alternative method for integrating a HR measurement device using optical based pulse sensor and Bluetooth-based communication module. This paper is also present the benchmarking of proposed system with several various commercial HR measurement devices.
mHEALTH: REVIEW OF MOBILE HEALTH MONITORING SYSTEMSIAEME Publication
With rise in world population, cost of healthcare also increased rapidly which led to the demand of low cost health monitoring solutions. In recent times, non-invasive wearable sensors have played an important role in healthcare applications. With advancement in wireless communication technologies, ubiquitous computing and embedded systems, the sensors need not be invasive anymore to accurately monitor a patient's health status, rather can be managed by user itself so as to keep a record of one's health condition. The advancement of healthcare technologies has enabled patients to monitor their vital health parameters on their own, and saves them from regular tiring hospital visits & high cost of laboratory medical checkups. It has also reduced the burden of healthcare service providers, thereby reducing overall medical costs. This paper provides a review of current status of mobile healthcare applications.
These days heart diseases are
considered as the major health issue. It
includes heart attack and cardiac arrest.
Heart attack is the global leading cause
of death for both the genders and
occurrence is not always know.
Sometimes heart attack is often
compared with other type of pain and
not often dealt with it. Hence, this
project is to implement the heart rate
monitoring using IOT. The patients are
expected to carry or wear a hardware
sensor. The sensor with note the heart
rate and transmits it through internet.
The patient may be expected to set the
high and low heart rate individually. On
reaching the high rate or going below
the expected heart rate, an emergency
alert notification is sent to the patient’s,
guardian, doctor and
ambulance(optional) android devices.
Internet of Things (Iot) is an ecosystem of
connected physical object that are accessible through the
internet. IOT devices are used in many application fields which
makes the user’s day to day life more comfortable. These
devices are used to collected temperature, blood pressure, and
sugar level etc.
IRJET- An Android Application for Electronic Health Record System
Sport Monitoring System_Article form
1. HEALTHY SPORT MONITORING SYSTEM
Parviz ABBASOV
Computer Engineering, Istanbul Aydin University, Istanbul Turkey
parvizabbasov@hotmail.com
International Journal of Electronics, Mechanical and Mechatronics Engineering (IJEMME)
Abstract: Every individual responses differently to physical activity. Working out more than body endures can cause serious
health problems. Rapid developments in information and communication technologies affects the whole area of health. Recently
developed wearable wireless non-invasive health sensors allow us to create healthcare application. This research aims to give an
idea for implementation of healthcare systems in sports area. This system will improve healthy and social life and encourage
people to engage more with sport activities.
Keywords: E-Health, Sport Monitoring System, Biometric Sensors
Introduction
Everybody does not get equal benefits from
exercising. Regular, accurate and careful physical
activity is important to protect and improve individual
health status [1]. Continuous health control can help
sport consultants to increase safety of physical
activities and support motivation throughout
individuals. It can help consultants to design
appropriate training options for each individual. It
will help to establish expectations between
individuals and sport consultants. Individuals can
evaluate their time during the sport and sport
consultants can evaluate and improve the workout
plans. Long-term and real-time monitoring of medical
data informs about the emergency situations. In spite
of using conventional methods nowadays technology
can help us design the real time monitoring system.
Wearable non-invasive sensors will give continuous
and real-time vital data about body’s work during
physical activity. By using these portable sensors
with 3G wireless communication technology it
creates the real time sport monitoring system [2]. This
system will prevent the time loss, reduce the costs
and guarantee the safety of the physical activity. Aim
of this project is to help sport and health consultants
to use more conventional methods and become able
to keep individuals health under control more
accurately.
Missing Aspects (Properties) within Existing sport
Systems
There are various health monitoring systems currently
existing. They offer different options to help people
engage with sport while monitoring time, distance,
steps, burned calories etc, based on target workout
advices. Most of them are designed for users and are
not suitable for sport and health consultants. These
systems do not provide information that supports
remote health control and consultant interventions.
They are inadequate to guarantee health safety for
individuals. Recently developed wireless biometric
sensors can bring a solution to these problems. Vital
signs are important part of individual’s health. These
non-invasive biometric sensors provide continuous
control and monitoring of vital data. New designed
non-invasive biometric systems are user friendly with
being portable, wearable, light and reliable [3]. They
can reduce the medical check-up costs, increase the
usability of medical application. Using this system
will encourage and motivate people to engage sport
with health control.
Arduino Platform
Arduino is a programmable an open-source electronic
board. Arduino is using ATMel brand processors [4].
It is helps programmers to develop innovative
projects with reduced costs. Arduino IDE editor is
compiling our program and installing it to the card. In
this project used Arduino Uno rev.3. It is the latest
revision of the Arduino platform and e-health sensor
platform v2.0 which has been designed by Libelium.
Arduino Uno board is an electronic card with 14
digital and 6 analog inputs which are supported by the
ATMega328 brand processor [4]. (Fig. 1)
2. Figure 1. E-Health v2.0 Platform.
E-Health Platform and Biometric Sensors
E-Health v2.0 platform is providing information
which allows to make biometric, medical and sport
applications by using Arduino, Rasperry Pi and Intel
electronic cards. Biometric data can be send to
application by using 6 different wireless technologies:
Wi-Fi, 3G, GPRS, Bluetooth, 802.15.4 and ZigBee
which allows to do real time monitoring and analyze
individual health status [5].
This platform is supporting 9 various biometric
sensors: (Fig. 2)
- Pulse
- Airflow (Respiration)
- Body Temperature
- Electrocardiogram
- Glucometer
- Galvanic Skin Response
- Blood Pressure
- Patient Position
- Electromyography
Figure 2. E-Health v2.0 Platform and Biometric
Sensors
Designing of The Model for Sport Monitoring
System
Application was developed in the .Net Framework 4.5
with using C# programming language. The database
of system was developed in MS SQL Server. Data
transactions between the application and database are
operating with sql stored procedures. This system
aims to help sport and health consultants. Therefore,
only consultants have access to the system.
Application consists following forms:
Login
Administrator
User Information
Vital Signs
Vital Calculator
Diagrams
Report
User Interfaces
Login window is designed to access the system. (Fig.
3) This window requires the credentials of the users
to secure the system. Unauthenticated users cannot
access the system. These credentials belong only to
health and sport consultants and are created through
administrator form. (Fig. 4) User Information form
allows consultants to add, delete and update the
individual’s information. (Fig. 5) Vital Signs form
will be designed with continuous monitoring,
controlling and analyzing of the vital signs during the
physical activity. (Fig. 6)The Vital Calculator
window calculates the amount of the daily calorie
requirements, body mass index, body fat ratio and
exercise heart rate zones. (Fig. 7) It gives feedback to
consultants after comparing the results with target
zones. In next form consultant can automatically
make a report by selecting date ranges of recorded
data of the individual. Diagrams form is designed to
visually show the changes of vital signs. (Fig. 8)
Figure 3. Login Form
3. Figure 4. Administrator Form
Figure 5. User Information Form
Figure 6. Vital Signs Form
Figure 7. Report Form
Figure 8. Diagrams Form
Data Control and Processing Unit.
Data control and processing are main unit of the
health monitoring system. This unit controls the
health status changes during sport activity and display
all data in Vital Signs form. (Fig.9)
Developed algorithm controls the vital signs
according to predetermined health limits by sport
doctors. It will automatically warn the consultant if it
detects data which is not in predetermined limit
ranges. The sample of this procedure is shown in
Figure 9.
4. Figure 9. System Warning Test.
After all processes system records information to the
database. These processes are performed according to
the flowchart in Figure 10.
Figure 10. Data control and Processing Flowchart
Wireless Communication Unit.
In this module 3G internet platform is used to provide
communication between sensor platform and
application requires a high speed internet connection
and communication with using WCDMA and HSPA
cellular networks. This communication layer is
designed according the flowchart in Figure 11.
Figure 11. 3G Communication Flowchart
CONCLUSION
This paper presents a technological solution for
healthy sport life. It provides an easy way to health
and sport consultants to keep control over individuals
during sport activity. Sport monitoring system
decreases the costs of check-up requirements after
every sport day. By integrating this system as a sport
consultant module to current sport applications, can
make them more useful and safe for people.
5. References :
[1]Silberner, Joanne (June 7, 2010). "100 Years Ago,
Exercise Was Blended Into Daily Life". npr.org.
Retrieved 23 November 2010.
[2]Vasileios Exadaktylos, Daniel Berckmans and
Jean-Marie Aerts . Non-Invasive Methods for
Monitoring Individual Bioresponses in Relation to
Health Management
[3] CasaDJ, Armstrong LE, Kenny GP, O'Connor
FG, Huggins RA. Exertional Heat Stroke: New
concepts regarding cause and care. Curr. Sports Med.
Rep. 2012;
[4]Arduino Community
Url: http://www.arduino.cc/
[5]Cooking hacks
Url: http://www.cooking-
hacks.com/documentation/tutorials/ehealth-biometric-
sensor-platform-arduino-raspberry-pi-medical
Parviz Abbassov was born in Baku, Azerbaijan. Received
his Undergraduate degree from Azerbaijan State Oil
Academy and is graduating student from Computer
Engineering Master program in Istanbul Aydin University.