IRJET- An Efficient Health Care System for Human Anatomy using IoT

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 11 | Nov 2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 573
AN EFFICIENT HEALTH CARE SYSTEM FOR HUMAN ANATOMY USING
IoT
1BOOPATHI RAJA.K, 2GOWTHAM.M, 3HARITHA.T, 4JAYALAKSHMI.S
1Assistant professor Department of ECE, Department of Electronics and Communication Engineering, SNS College
of Technology, Coimbatore, Tamil Nadu, India.
2, 3, 4Final year ECE students, Department of Electronics and Communication Engineering, SNS College of
Technology, Coimbatore, Tamil Nadu, India.
------------------------------------------------------------------------***-------------------------------------------------------------------------
Abstract - This project is to analyze the real time family
health condition that can facilitate doctor through cloud for
continuous observation in order to get complete health data
base. Detect and inform the emergency case as per patient
health condition such as, tablets to home or ambulance level.
Healthcare being a global issue more particularly India being
a most populated nation where majority of which live in
villages deprived of healthcare facilities on real time basis
continuously and regularly. With the increasing use of
technology, there is an urgent need to have such a smart
health monitoring system that can communicate between
network devices and application which will help the patients
and doctors to monitor, track and record the patient’s
sensitive data containing medical information. This paper
depicts the idea of solving health issues using the latest
technology, Internet of Things (IoT). It presents the
architectural reviewofsmarthealthcaresystemusingInternet
of Things (IoT) which is aimed to provide a Better HealthCare
to everyone.
Key Words: Patient care, Internet of Things (IoT),
biomedical sensors, Temperature, ECG…
1. INTRODUCTION
Healthy is the most vital role in every human being. Even
though people are having all the luxuries in their lives, but if
their health is not in good condition they cannot enrich their
lives. The prime goal was to develop a reliable patient
monitoring system so that the healthcare professionals can
monitor the patients, who are either hospitalized or
executing their normal daily life activities. Recently, the
patient monitoring systems are one of the major
advancement because of its improved technology.
Currently, there is need for a modernized approach. In the
traditional approach the health care professionals play the
major role. They need to visit the patient’s ward for
necessary diagnosis and advising. There are two basic
problems associated with this approach. Wearable sensors
are in contact with the human body and monitor his or her
physiological parameters. We can buy variety of sensors in
the market today such as ECG sensors, temperaturesensors,
pulse monitors etc.
The cost of the sensors varies according to their size,
flexibility and accuracy.
2. LITERATURE SURVEY
2.1 EXISTING SYSTEM
The main vision of the healthcare industry is to provide
better health care to all the people anywhereandatanytime
in the world. This should be done in a more patient friendly
and economic manner. Therefore for increasing the patient
care efficiency, there is a need to improve the patient
monitoring devices. Because technology hasmadelifeeasier
so that impact is shown to reduce the tension of patient.
The body sensor network (BSN) technology is one of the
most imperative technologies used in IoT-based modern
healthcare system. It is basically a collection of low-power
and lightweight wireless sensor nodes that are used to
monitor the human body functions and surrounding
environment. Since BSN nodes are used to collect sensitive
(life-critical) information and may operate in hostile
environments, accordingly, they require strict security
mechanisms to prevent malicious interaction with the
system. Hence, in order to achieve all the network security
requirements here we propose a lightweight anonymous
authentication protocol.
2.2 DRAWBACKS OF EXISTING METHOD
 Prescription was not to the patient by doctor.
 Wired network-restriction between the body
movements.
 Takes time to analyse the manual reading.
 Interference of the multi device that share the
channel.
3. PROPOSED SYSTEM
The proposed idea is to focus of the application which will
help the family members to take care of the particular

person. The sensor collects the data from the patient body
and it will be stored in the cloud. The collected data will be
shared between the doctor and patient through cloud. The
doctor uploads the prescription for the various range of
temperature and pressure level. The data changes in web
sheet can be easily made by the health center and it can be
easily viewed by the patients.
In this system, Node MCU controller is used to control the
operation of the system. Temperature sensor, pulse sensor,
alcoholic sensor are used6 to measure the health status.
Arduino IDE software is used to analyze and display the
readings taken. HTML is used tocreatea webpageforstoring
and displaying the database using IOT.
ADVANTAGES OF PROPOSAL SYSTEM
 Complete patient physical dada collection and timely
presenting the correct adaptive remedy.
 Doctors and related family memberscancheck thehealth
condition of the patients or diagnose a chronic disease at
an early stage.
 The proposed system is not confined to a single patient,
with slight modification this system can be utilized to
take care more number of patients.
 It is low cost and provide the data in real time.
 Prescription was send back to the patients by doctor.
BLOCK DIAGRAM
Fig.1 Proposed block diagram
The figure explains about how the patient health is
continuously observed and the database is maintained. The
objective is to integrate IOT and cloud technologies and to
provide a data monitored continuously to both data center
and observation server simultaneously and to provide an
alert system and data retrieval capability whenever needed.
In this system, Node MCU controller is used to control the
operation of the system. Temperature sensor, pulse sensor,
alcoholic sensor are used6 to measure the health status.
Arduino IDE software is used to analyze and display the
readings taken. HTML is used tocreatea webpageforstoring
and displaying the database using IOT.
We proposed our model, an authorized healthcare
professional can request and thereal timedata collectedbya
particular sensor in anIoTsubsystem.Thecontributionsare:
 A flexible, energy-efficient, and scalable remote
patient health status monitoring framework.
 A health data clustering and classificationmechanism
to enable good patient care.
 A case where the capabilities of the Arduino
framework are exploitedfor patientswiththedisease.
 Performance analysis of the Arduino framework to
show effectiveness.
Hence it helps to analyze the real time family health
condition that can facilitate doctor through cloud for
continuous observation in order to get complete health data
base we can also Detect and inform the emergency case as
per patient health condition such as, tablets to home or
ambulance level.
HARDWARE DESCRIPTION
A. NODE MCU
The Node MCU (Node Micro Controller Unit) is an open
source software and hardware development environment
that is built around a very inexpensive System-on-a-Chip
(SOC) called the ESP8266.
B. Temperature Sensor
The LM35 series are precision integrated-circuit
temperature sensors, whose output voltage is proportional
to the Celsius (centigrade) temperature. The LM35 thus has
an advantage over linear temperature sensors calibrated in
°kelvin
C. Pulse Sensor
The Pulse Sensor is a plug-and-play heart-rate sensor for
Arduino. The flow of blood volume is decided by the rate of
heart pulses and since light is absorbed by blood, the
signal pulses are equivalent to the heart beat pulses.

D. Alcoholic Sensor
Alcohol Sensor is a complete alcohol sensor module for
Arduino. It is built with MQ3 semiconductor alcohol sensor.
It has good sensitivity and fast response to alcohol. It is
suitable for making Breathalyzer. This sensor outputs a
voltage inversely proportional to the alcohol concentration
in air.
4. RESULTS AND DISCUSSION
Temperature sensor, pulse sensor and Alcohol
sensor is connected to the NODE MCU. The sensors are
calibrated and the values from sensor are received. The
received values are updated in the server using NODEMCU.
Through server the data is shared to the closed group. In
case of emergency, such as change in heart rate etc… The
alert message is send through GSM to doctor. The doctorcan
send the medicine prescription through the server to the
particular closed group
5. CONCLUSION
In this project we proposed patient will get the prescription
by the doctor to his mobile. Everyone’s health condition will
be monitored by family members and helps at the time of
emergency. Hence the patients’ health is analyzed and the
real time family health condition that can facilitate doctor
through cloud for continuous observation in order to get
complete health data base can be achieved and also we
detect and inform the emergency case as per patient health
condition such as, tablets to home or ambulance level.
REFERENCES
[1] MoeenHassanalieragh; Alex Page ; TolgaSoyata; Gaurav
Sharma; Mehmet Aktas; Gonzalo Mateos; BurakKantarci;
SilvanaAndreescu ,” Health Monitoring and Management
Using Internet-of-Things (IoT) Sensing with Cloud-Based
Processing: Opportunities and Challenges”, 2015
[2] M. Shamim, Ghulam Muhammad, “Cloud-assisted
Industrial Internet of Things (iot) – Enabled framework for
health monitoring”, 2016
[3] Himadri Nath Saha, “Comparative Performance Analysis
between nrf24l01+ and XBEE ZBModuleBasedWireless Ad-
hoc Networks”, 2017
[4] HN Saha, A Mandal, S Abhirup, “Recent trends in the
Internet of Things”, 2017
[5] B-G Chun, S. Ihm, P. Maniatis, M. Naik, and A. Patti.
CloneCloud: Elastic Execution between Mobile Device and
Cloud. EuroSys, 2011.
[6] A. R. Chowdhury, B. Falchuk. MediA lIy: A Provenance-
Aware Remote Health Monitoring Middleware. In Per- Com,
2010.
[7] E. Cuervoy, A. Balasubramanian,D-KCho,A.Wolmanx,S.
Saroiux, R.Chandrax, and P. Bahl. MAUI: Making
Smartphones Last Longer with Code Offload. In MobiSys,
2010.

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