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UNIVERSITY OF ENGINEERING AND TECHNOLOGY
TAXILA.
DEPARTMENT OF ELECTRONICS ENGINEERING
FINAL YEAR PROJECT PROPOSAL
Submitted To:
Dr. Amir Rasheed
Submitted By:
Usama Rauf Khattak (19-ENC-33)
Obaid Ur Rehman (19-ENC-11)
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Table of Contents
Abstract ......................................................................................................................................................... 3
Introduction .................................................................................................................................................. 4
Motivation and Scope ................................................................................................................................... 5
System Architecture and Feature ................................................................................................................. 6
List of Components ....................................................................................................................................... 7
Cost Analysis ................................................................................................................................................. 7
Tools and Technology ................................................................................................................................... 8
Gantt Chart ................................................................................................................................................... 8
Abbreviations ................................................................................................................................................ 8
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SMART HEALTH MONITORING SYSTEM USING IOT
Abstract
It is important to monitor some important health parameters like body temperature, pulse rate, and
blood sugar levels as they may indicate a precaution before any illness. The health of the elderly
should be evaluated on a regular basis as their immunity weakens as they grow older. Many
individuals don't have time to attend a clinic to check their health condition due to work and hectic
schedules. Let's design an IoT-based health monitoring system for diabetic patients that can sense
and monitor a few critical health factors from home or at work.
With the commencement of the COVID-19 pandemic, social distancing and quarantine are
becoming essential practices in the world. IoT health monitoring systems prevent frequent visits
to doctors and meetings between patients and medical professionals. However, many individuals
require regular health monitoring and observation by medical staff. In this proposed work, we have
taken advantage of the technology to make patients' lives easier for earlier diagnosis and treatment.
A smart health monitoring system is being developed using Internet of Things (IoT) technology,
which is capable of monitoring pulse rate, temperature, blood sugar level, and many other health
activities of a person. This health monitoring system based on IoT helps users collect real-time
data effortlessly. The availability of a high-speed internet connection allows the system to monitor
the parameters at regular intervals. Furthermore, the cloud platform allows data storage so that
previous measurements could be retrieved in the near future. This system would help in the early
identification and early treatment of individual patients. We will design a non-invasive glucometer
using Breath-Acetone method. In which a gas sensor is used to sense the VOC’s present in human
breath and keeping a check on vital health parameters like temperature, pulse rate, calories intake
and physical activities like walking, gym etc. The microcontroller will monitor sugar level and
intelligent cloud will recommend the necessary medication and diet so that the chances of risk can
be reduced. This cloud is linked with an app and website. The data is uploaded via app and the
doctor can access this data through the website database.
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Introduction
An automated health monitoring system is to be developed that helps users monitor their vitals
regularly and can keep a record of them in a mobile app. The data is analyzed through the Arduino
microcontroller and sent to the app or web server. Additionally, it also records and maintains the
earlier diagnostic information regarding the patient's health. The patient's actual condition could
be shared with medical professionals via an online portal, and the appropriate treatment could be
administered to cure the patient. The smart patient health tracking system involves the installation
of the pulse rate, temperature and humidity sensors and glucose meter, to be integrated on a smart
watch to track the condition of the patients. After processing, all the values are sent to the cloud
and the intelligent cloud will first record the readings, compare it with healthy human readings and
suggest a first aid in emergency scenarios for diagnosis purposes via sms or email. The signals of
sensors such as temperature, pulse, readings are passed through an amplification and signal
conditioning system to raise the gain of the signals. Using any microcontroller like Arduino or
Raspberry Pi, data can be sent to a cloud platform for storage and analysis. The IoT-based system
can provide real-time information about the patient parameters as the internet is a prime
communication channel. The security of the cloud and data is one of the most challenging issues.
With the advancement of internet technologies like cloud computing, edge computing, and fog
computing, wearable healthcare monitoring systems could be seen in everyday usage in the coming
years. The measurement of biomedical signals with the various sensors is a prerequisite in the
development of a health monitoring system that may be used for physical rehabilitation and realtime tracking of disabled individuals. The designing of non-invasive glucometer is also a key
challenge, as we are designing a glucometer via breath acetone using gas sensor. The selection of
gas sensor is selected keeping in view the range of the acetone present in human breath. After
selecting the gas sensor, we have to integrate it with the Arduino development board. After
integration with Arduino board, we have taken the readings of the blood sugar from gas sensor and
compare it with the sugar level of healthy person, after this comparison the intelligent system will
tell whether the sugar level of patient is high or normal.
The other key challenge in the development of a smart health monitoring system is the personal
health dashboard (PHD), through which the biomedical data collected by sensors is easily
accessible to the physician and a team of specialists for evaluation and analysis purposes.
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Motivation and Scope
So, the diagnosis and prevention of patient health could be made with the support of sensor
technology integration with IoT embedded systems. It was observed that in the winter season, the
infection rate increases, as the conditions for the survival of the SARS-CoV-2 virus are much more
favorable. The Internet of Things is one of the emerging technologies that is being incorporated
into every part of human life. The most common usage of IOT is in the smart home, automated
industries, schools, oil refineries, environmental monitoring systems, smart cities etc. The
challenge of visiting hospitals for daily vital checks can be reduced by utilizing the internet of
things (IoT) based smart health monitoring system. This may be novel for most households, but
innovations happen all the time, and the motivation for developing non-invasive health monitoring
technologies is to make life easier for humans. Biomedical signals can provide information about
an individual's health, so much information could be gathered, and necessary inference could be
drawn out of observation. The various biomedical signals that could be sensed to detect the vitals
of a human include pulse rate, temperature, and blood sugar. With the help of IoT, machine
learning techniques could be deployed to identify the daily progress of patients out of a large
amount of data through measuring their health parameters and storing them on the cloud. The
integration of machine learning and IoT will be beneficial in a variety of ways.
IoT technology would help the health authorities segregate the patients who require immediate
treatment from a few others who could be home quarantined, thus preventing the giant patient
bubble at the hospital or community health centers. The IoT-based smart health monitoring system
could reduce the need for vital check in hospitals.
The major scope of this work will be in the fields of Smart Cities and Control Engineering. Keeping
track of your health in the new era is very important because everyone is busy doing work and
they don’t have much time to consult a doctor. So, this device will help them keep track of their
health and see their performance over time by accessing the history of their health checks and
consulting the doctor when needed.
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System Architecture and Feature
Figure 1: Workflow Diagram
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Figure 2: Block Diagram for proposed IOT system
List of Components
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2.
3.
4.
5.
6.
7.
8.
9.
Arduino UNO or Raspberry Pi (Microcontroller).
Pulse Oximeter Sensor.
Gas Sensor MQ-138.
Temperature and Humidity Sensor DHT11.
MPU6050.
OLED.
ESP32 (Wi-Fi Module).
Power Supply.
Breadboard.
Cost Analysis
The expected cost of this project is Rs.15000-20000pkr.
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Tools and Technology
Table 1
Tools
Arduino IDE
PyCharm IDE
VS Code
Database
Technologies
C++
Python
React JS, React Native, Node JS
MongoDB
Gantt Chart
TIME IN WEEKS
30
25
20
15
10
5
0
TIME WORK LOAD
Figure 3: Gantt Chart
Abbreviations
Table 2
I.C.E.
In Case of Emergency
App.
Application
I.O.T.
Internet Of Things