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International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 5 Issue: 12 54 – 56
_______________________________________________________________________________________________
54
IJRITCC | December 2017, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
Smart Health Monitoring System using Sensors
Mr. Suhas Pindiproli, Mr. Harshal Marathe,
Ms. Rakhi Mallesh
Trinity College of Engineering and Research
University of Pune, India
suhpin95@gmail.com
deadecho47@gmail.com
malleshrakhi@gmail.com
Ms. Shubhada Palase, Prof. Pavan Kulkarni
Trinity College of Engineering and Research
University of Pune, India
shubhadapalase@gmail.com
pavanscs012@gmail.com
Abstract— In real life, we have to constantly monitor the patient. As of now there is no automatic alerting system has not been implemented
which will notify a helper or relative a patient who is at a remote location. In this project, we monitor pulse rate, temperature and generate
ECG with the help of sensor. Sensors sense the records the value and sends those to android phone . In case of emergency, message is sent to
the patients relative. And also the appointments at the hospital will be reminded to the patient. The focus of the project is to build an android
platform based application, which uses the idea of IOT. Moreover, we present a prototype of a basic health-care monitoring system, which
alerts, in real time patients relative that an elderly people has experienced a problem that could need medical attention or hospitalization.
Keywords-Iot,android,ecg,soc,rpi,firebase.
*****
I. INTRODUCTION
The Internet of things (IoT) is the large network of devices,
vehicles, appliances which are used in home, and the embedded
devices with network connectivity enable connection and
exchange data. Internet infrastructure helps in identifying the
devices uniquely and can inter-operate with other devices in the
infrastructure.
Remote sensing of the devices and direct interaction with them
across the network infrastructure is quite possible because of
the IoT and resulting in accuracy, economy in addition to
reduced human intervention. We would be using the concept of
IOT in Health-care and with the help of cloud would be storing
and accessing the data. Devices collects the data and then
helps in sharing of data with the available technology
autonomously. Large amount of data is being generated due to
increase in internet connected devices, and thereby improving
the performance of the system.
II. LITERATURE SURVEY
Paper 1: IoT consists of a large number of small devices
coupled with one or more sensors, some processing circuits,
and a wireless transceiver. These devices are termed as sensor
nodes or motes. Patients body temperature, heart beat are
monitored and sent to doctor in remote location. This system
applies only for remote places such as inside of a hospital or a
building.
Paper 2: Possibility of sharing the real time data and
heterogeneous data is quite possible because of the
advancement in IoT. But this has increased the challenge of
managing the real time data. In this research, first a semantic
data model is proposed to store and interpret IoT data.Then
acquire ubiquitous data and process it .Then use the knowledge
and apply the same for medical service Paper 3: In this paper
novel method to utilize it IoT within the field of scientific and
crafty wellness care are presented.This paper describes and
proposes monitoring with the help of RFID tags using IoT
Technology. Various Emergency test cases have been
experimented and it has been proven that its very efficient .
Combination of micro-controller is presented so as to get the
efficient results in this system .
Paper 4: A Body Sensor Network is designed to operate
autonomously to connect the various medical sensors and
implants located inside or outside of the human body, which
helps in flexible operation. It is also cost saving option to both
health-care professionals and patients. This work illustrates the
design and implementation of a smart health monitoring
system.Here set of wearable sensors are used for real time
sensing and collecting the patients parameter which later on will
be shared with other devices.
III. WORKING
Figure 1
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 5 Issue: 12 54 – 56
_______________________________________________________________________________________________
55
IJRITCC | December 2017, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
Figure 1 shows the working of the proposed project. Here
there is communication between Raspberry pi(rpi), android
device and firebase database. Following are the flow in which
the communication is done
– First step is to initialize the Rpi and and android app and
connect both device using Bluetooth.
– After the connection is done, the user can initialize the sensor
when the sensors are connected to the body to start sensing
data.
– The sensed the data is send to firebase and the user retrieves
the data through firebase .
– Here they are mainly two types of user:-
1)Patient - The users who are using the sensors and is
checking the sensed data.
2)Relative/others - The users who are checking patient user
data.
- For relative user able to access patient user data, the relative
user contact must be entered in patient user’s relatives field.
– The firebase also analyze the data and checks whether the
threshold values are met.
– If the threshold are not met then it sends notification to
relatives.
– The app also features setting reminder for doctor’s
appointment.
IV. APPROACHES
Various approaches have been used in the previous years to
implement health-care monitoring system.In the initial stages,
the main focus was on hardware.
Software provides a Graphical User Interface which is an easy
way of interaction with the user. Different Interfaces like
mobile applications and web based applications enables the
users to communicate with the hardware and to control them.
So Patient can monitor various parameters such as ECG, pulse
rate,temperature with the help of smart phones. Numerous
types of sensors like ECG sensors, pulse rate sensors and
Temperature sensors are used for monitoring health. Electronic
development kits like Arduino and Raspberry Pi provides
power and instructions to other devices in the entire setup.
There should be proper communication of devices within the
network infrastructure.
Firebase: Firebase is a backend technology that is owned by
Google. INC which is used for running web applications.It is
NO-SQL database.It provides various services that are useful
for making an app cloud ready.Building app and man-aging
app becomes very easy using firebase.Various API makes use
of firebase.It is very useful for developer as developer need not
to care about the functions of cloud as this API’s makes work
easy.
Storage server: We can use a server that is used to store,
access. secure and manage data, files and services. A server is
used for storing and accessing small to large amount of data
over a shared network or through the internet. Storage server can
also be called as file server.
Web Application: We can create responsive web applica-tions
so that we can use it on mobile as well as on personal computers
for communicating with raspberry pi for measuring body
parameters using different sensors. For creating web applications
we can use Javascript, HTML,CSS,React, Material design,etc.
Mobile application:We can create mobile apps using differ-ent
platforms like Android, IOS using languages like An-droid(java)
and swift respectively. We can create applica-tions in such a way
that they can be used to communicate with raspberry that can be
used for sensing different body parameters using different
sensors.
V. CONCLUSION
Here we conclude that sensors with the interconnection of micro-
controller/S.O.C will help to build an environment where it
would be possible to monitor patient’s body parameter.It will
ensure safety of patient and help in keeping check of patient
from remotest location.
VI. FUTURE SCOPE
Data Mining and Machine Learning Algorithms can be used to
predict the disease or the condition through which the patient is
suffering from, depending upon the recorded value.
The project can be further developed in future to detect exact
heart rate with analysis.
A proposed system will extend the concept of tele-medicine
which is use to provide the clinical health care from a distance. It
will be beneficial for the study of wireless transmission of data
of patients in case of emergency.
VII. ACKNOWLEDGEMENT
The author appreciates Prof.Krushna Belerao for helping
through-out the project and providing required constructive
input.We would like to thank our alma mater, KJEI’s Trinity
College of Engineer-ing and Research for providing with
necessary resources.
REFERENCES
[1] Automatic Wireless Health Monitoring system in Hos-pitals for
Patients.
[2] Patient Monitoring System using GSM Technology Author-
Jaiee Sitaram Adivarekar, Amisha Dilip Chordia, Harshada Hari
Baviskar
[3] X. Boyi, X. Li Da, C. Hongming, X. Cheng, H. Jingyuan, and B.
Fenglin, Ubiquitous Data Accessing Method in IoT-Based
Information System for Emergency Medical Services, Industrial
Informatics, IEEE Transactions on, vol. 10, pp. 1578-1586, 2014
[4] Sarfraz Fayaz Khan,Health care monitoring system in Internet of
Things (IoT) by using RFID Industrial Technol-ogy and
Management (ICITM), International Conference on 7-10 March
2017
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 5 Issue: 12 54 – 56
_______________________________________________________________________________________________
56
IJRITCC | December 2017, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
[5] Vikas Vippalapalli, Snigdha Anathula,Internet of things
(IoT) based smart health care system IEEE Transaction
on,vol.3,pp.678-708.
[6] Catarinucci, L.; de Donno, D.; Mainetti, L.; Palano, L.;
Patrono, L.;Stefanizzi, M.; Tarricone, L., An IoT-Aware
Architecture for Smart Healthcare Systems, in Internet of
Things Journal, IEEE, vol.PP, no.99,pp.1-1
[7] Sudhindra.F, Annarao.S.J, Vani.R.M, P.V. Hunagund, A GSM
Enabled Real Time Simulated Heart Rate Monitoring Control
System, International Journal of Research in Engi-neering and
Technology, Page No. 6-10 Volume: 03
[8] Malhi, Karandeep, Subhas Chandra Mukhopadhyay, Ju-lia
Schnepper, Mathias Haefke, and Hartmut Ewal, A Zig-
beebased wearable physiological parameters monitoring sys-
tem. Sensors Journal, IEEE, vol. 12, no. 3, pp. 423-4
[9] Aniket V. Kale, Supriya D. Gawade, Sayali Y. Jadhav and
Samrat A. Patil, GSM Based Heart Rate and Tempera-ture
Monitoring System International Journal of Engineer-ing
Research Technology (IJERT) ISSN: 22780181 Vol. 4 Issue
04, April-2015.
[10] http://searchhealthit.techtarget.com/feature/Can-weexpect-the-
Internetof-Things-in-healthcare, retrieved by 20 Feb 2015.

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Smart Health Monitoring System using Sensors

  • 1. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 12 54 – 56 _______________________________________________________________________________________________ 54 IJRITCC | December 2017, Available @ http://www.ijritcc.org _______________________________________________________________________________________ Smart Health Monitoring System using Sensors Mr. Suhas Pindiproli, Mr. Harshal Marathe, Ms. Rakhi Mallesh Trinity College of Engineering and Research University of Pune, India suhpin95@gmail.com deadecho47@gmail.com malleshrakhi@gmail.com Ms. Shubhada Palase, Prof. Pavan Kulkarni Trinity College of Engineering and Research University of Pune, India shubhadapalase@gmail.com pavanscs012@gmail.com Abstract— In real life, we have to constantly monitor the patient. As of now there is no automatic alerting system has not been implemented which will notify a helper or relative a patient who is at a remote location. In this project, we monitor pulse rate, temperature and generate ECG with the help of sensor. Sensors sense the records the value and sends those to android phone . In case of emergency, message is sent to the patients relative. And also the appointments at the hospital will be reminded to the patient. The focus of the project is to build an android platform based application, which uses the idea of IOT. Moreover, we present a prototype of a basic health-care monitoring system, which alerts, in real time patients relative that an elderly people has experienced a problem that could need medical attention or hospitalization. Keywords-Iot,android,ecg,soc,rpi,firebase. ***** I. INTRODUCTION The Internet of things (IoT) is the large network of devices, vehicles, appliances which are used in home, and the embedded devices with network connectivity enable connection and exchange data. Internet infrastructure helps in identifying the devices uniquely and can inter-operate with other devices in the infrastructure. Remote sensing of the devices and direct interaction with them across the network infrastructure is quite possible because of the IoT and resulting in accuracy, economy in addition to reduced human intervention. We would be using the concept of IOT in Health-care and with the help of cloud would be storing and accessing the data. Devices collects the data and then helps in sharing of data with the available technology autonomously. Large amount of data is being generated due to increase in internet connected devices, and thereby improving the performance of the system. II. LITERATURE SURVEY Paper 1: IoT consists of a large number of small devices coupled with one or more sensors, some processing circuits, and a wireless transceiver. These devices are termed as sensor nodes or motes. Patients body temperature, heart beat are monitored and sent to doctor in remote location. This system applies only for remote places such as inside of a hospital or a building. Paper 2: Possibility of sharing the real time data and heterogeneous data is quite possible because of the advancement in IoT. But this has increased the challenge of managing the real time data. In this research, first a semantic data model is proposed to store and interpret IoT data.Then acquire ubiquitous data and process it .Then use the knowledge and apply the same for medical service Paper 3: In this paper novel method to utilize it IoT within the field of scientific and crafty wellness care are presented.This paper describes and proposes monitoring with the help of RFID tags using IoT Technology. Various Emergency test cases have been experimented and it has been proven that its very efficient . Combination of micro-controller is presented so as to get the efficient results in this system . Paper 4: A Body Sensor Network is designed to operate autonomously to connect the various medical sensors and implants located inside or outside of the human body, which helps in flexible operation. It is also cost saving option to both health-care professionals and patients. This work illustrates the design and implementation of a smart health monitoring system.Here set of wearable sensors are used for real time sensing and collecting the patients parameter which later on will be shared with other devices. III. WORKING Figure 1
  • 2. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 12 54 – 56 _______________________________________________________________________________________________ 55 IJRITCC | December 2017, Available @ http://www.ijritcc.org _______________________________________________________________________________________ Figure 1 shows the working of the proposed project. Here there is communication between Raspberry pi(rpi), android device and firebase database. Following are the flow in which the communication is done – First step is to initialize the Rpi and and android app and connect both device using Bluetooth. – After the connection is done, the user can initialize the sensor when the sensors are connected to the body to start sensing data. – The sensed the data is send to firebase and the user retrieves the data through firebase . – Here they are mainly two types of user:- 1)Patient - The users who are using the sensors and is checking the sensed data. 2)Relative/others - The users who are checking patient user data. - For relative user able to access patient user data, the relative user contact must be entered in patient user’s relatives field. – The firebase also analyze the data and checks whether the threshold values are met. – If the threshold are not met then it sends notification to relatives. – The app also features setting reminder for doctor’s appointment. IV. APPROACHES Various approaches have been used in the previous years to implement health-care monitoring system.In the initial stages, the main focus was on hardware. Software provides a Graphical User Interface which is an easy way of interaction with the user. Different Interfaces like mobile applications and web based applications enables the users to communicate with the hardware and to control them. So Patient can monitor various parameters such as ECG, pulse rate,temperature with the help of smart phones. Numerous types of sensors like ECG sensors, pulse rate sensors and Temperature sensors are used for monitoring health. Electronic development kits like Arduino and Raspberry Pi provides power and instructions to other devices in the entire setup. There should be proper communication of devices within the network infrastructure. Firebase: Firebase is a backend technology that is owned by Google. INC which is used for running web applications.It is NO-SQL database.It provides various services that are useful for making an app cloud ready.Building app and man-aging app becomes very easy using firebase.Various API makes use of firebase.It is very useful for developer as developer need not to care about the functions of cloud as this API’s makes work easy. Storage server: We can use a server that is used to store, access. secure and manage data, files and services. A server is used for storing and accessing small to large amount of data over a shared network or through the internet. Storage server can also be called as file server. Web Application: We can create responsive web applica-tions so that we can use it on mobile as well as on personal computers for communicating with raspberry pi for measuring body parameters using different sensors. For creating web applications we can use Javascript, HTML,CSS,React, Material design,etc. Mobile application:We can create mobile apps using differ-ent platforms like Android, IOS using languages like An-droid(java) and swift respectively. We can create applica-tions in such a way that they can be used to communicate with raspberry that can be used for sensing different body parameters using different sensors. V. CONCLUSION Here we conclude that sensors with the interconnection of micro- controller/S.O.C will help to build an environment where it would be possible to monitor patient’s body parameter.It will ensure safety of patient and help in keeping check of patient from remotest location. VI. FUTURE SCOPE Data Mining and Machine Learning Algorithms can be used to predict the disease or the condition through which the patient is suffering from, depending upon the recorded value. The project can be further developed in future to detect exact heart rate with analysis. A proposed system will extend the concept of tele-medicine which is use to provide the clinical health care from a distance. It will be beneficial for the study of wireless transmission of data of patients in case of emergency. VII. ACKNOWLEDGEMENT The author appreciates Prof.Krushna Belerao for helping through-out the project and providing required constructive input.We would like to thank our alma mater, KJEI’s Trinity College of Engineer-ing and Research for providing with necessary resources. REFERENCES [1] Automatic Wireless Health Monitoring system in Hos-pitals for Patients. [2] Patient Monitoring System using GSM Technology Author- Jaiee Sitaram Adivarekar, Amisha Dilip Chordia, Harshada Hari Baviskar [3] X. Boyi, X. Li Da, C. Hongming, X. Cheng, H. Jingyuan, and B. Fenglin, Ubiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Services, Industrial Informatics, IEEE Transactions on, vol. 10, pp. 1578-1586, 2014 [4] Sarfraz Fayaz Khan,Health care monitoring system in Internet of Things (IoT) by using RFID Industrial Technol-ogy and Management (ICITM), International Conference on 7-10 March 2017
  • 3. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 12 54 – 56 _______________________________________________________________________________________________ 56 IJRITCC | December 2017, Available @ http://www.ijritcc.org _______________________________________________________________________________________ [5] Vikas Vippalapalli, Snigdha Anathula,Internet of things (IoT) based smart health care system IEEE Transaction on,vol.3,pp.678-708. [6] Catarinucci, L.; de Donno, D.; Mainetti, L.; Palano, L.; Patrono, L.;Stefanizzi, M.; Tarricone, L., An IoT-Aware Architecture for Smart Healthcare Systems, in Internet of Things Journal, IEEE, vol.PP, no.99,pp.1-1 [7] Sudhindra.F, Annarao.S.J, Vani.R.M, P.V. Hunagund, A GSM Enabled Real Time Simulated Heart Rate Monitoring Control System, International Journal of Research in Engi-neering and Technology, Page No. 6-10 Volume: 03 [8] Malhi, Karandeep, Subhas Chandra Mukhopadhyay, Ju-lia Schnepper, Mathias Haefke, and Hartmut Ewal, A Zig- beebased wearable physiological parameters monitoring sys- tem. Sensors Journal, IEEE, vol. 12, no. 3, pp. 423-4 [9] Aniket V. Kale, Supriya D. Gawade, Sayali Y. Jadhav and Samrat A. Patil, GSM Based Heart Rate and Tempera-ture Monitoring System International Journal of Engineer-ing Research Technology (IJERT) ISSN: 22780181 Vol. 4 Issue 04, April-2015. [10] http://searchhealthit.techtarget.com/feature/Can-weexpect-the- Internetof-Things-in-healthcare, retrieved by 20 Feb 2015.