IOT BASED HEALTH MONITORING BY USING PULSE OXIMETER AND ECG

IOT BASED HEALTH MONITORING BY
USING PULSE OXIMETER AND ECG
1
STELLA MARY’S COLLEGE OF
ENGINEERING
Department of Electrical and Electronics Engineering
Under the guidance of
C.Milton, M.E
Assistant Professor
Department of EEE
Stella Mary’s College of Engineering
Presented by :
L.Vasanth 963518105031
S.Jeya kumar 963518105033
M.Karthikeyan 963518105034
M.Prathap 963518105036

INTRODUCTION OF THE PROJECT WORK
2
• The healthcare sector is going through a huge change, with digital capabilities
changing the way doctors interact with their patients.
• However, we note that these devices are quite expensive and it is difficult to
find these devices used by poor people, who are facing the biggest part of
diseases burden.
• The concept of the IOT entails the use of electronic devices that capture or
monitor data and are connected to a private or public cloud
• Medical data such as blood pressure and heart rate are collected by sensors on
peripheral devices; these data are transmitted to healthcare providers or third
parties via wireless telecommunication devices.

OBJECTIVES
3
• To detect the using heart beat sensing based on IOT
technology
• To develop health monitoring system i.e. it
measures body temperature and heart rate.
• To design a system to store the patient data over a
period of time using database management in IoT.

ABSTRACT
4
Monitoring and Recording of various medical parameters of patient
outside hospitals has become Widespread phenomenon. The Reason
behind this project is to design a system for monitoring the patient’s
body at any time using internet connectivity. The function of this
system is measuring and detecting the heart pulse rate of the patient’s
body by using Heart beat sensors and sends the values to IOT Cloud
platform through WIFI-Module. All information about the patient heart
pulse rate and health will be stored on the cloud, it enables the doctors
to monitor patient’s health, where the doctor can continuously monitor
the patient’s heart condition on his Smart phone.This project is
implemented with Arduino Controller.

SI NO TITLE AND AUTHOR METHODOLOGY USED ADVANTAGES DRAWBACKS
1
‘Fog Assisted-IoT Enabled
Patient Health Monitoring
in Smart Homes’ & Prabal
Verma et al [2018] IEEE.
The remote patient health
monitoring in smart
homes by using the
concept of fog computing
at the smart gateway.
High accuracy. Less focus on fall
detection and
monitoring daily
activities in smart
homes.
2
‘COVID-SAFE: An IoT-
Based System for
Automated Health
Monitoring and
Surveillance in Post-
Pandemic Life’ & Seyed
Shahim Vedaei et al [2020]
IEEE.
In this paper, we present
a potential application of
the Internet of Things
(IoT) in healthcare and
physical distance
monitoring for pandemic
situations.
Lightweight and low-
cost.
The reflection of its
signals, which makes it
difficult to acquire
accurate distance
estimations.
LITERATURE SURVEY

CONTINUED…
SI NO TITLE AND AUTHOR METHODOLOGY USED ADVANTAGES DRAWBACKS
3
‘IoT-Based Smart Edge for
Global Health: Remote
Monitoring With Severity
Detection and Alerts
Transmission’ & Rahul
Krishnan Pathinarupothi et
al [2019] IEEE.
Remote Monitoring With
Severity Detection and Alerts
Transmission Method is used.
• Need not go in for
unnecessary hospital re-
visits.
• patients as well as
returning high risk
patients by freeing their
consultative time
otherwise spent on low-
risk/normal patients.
High cost.
4
‘Real-Time Signal Quality-
Aware ECG Telemetry
System for IoT-Based Health
Care Monitoring’ & Udit
Satija et al [2017] IEEE.
A light-weight ECG signal
quality assessment (ECG-
SQA) method for
automatically assessing the
quality of acquired ECG
signals under resting,
ambulatory and physical
activity environments.
ECG monitoring framework
using ECG sensors, Arduino,
Android phone, Bluetooth
and cloud server.
Transmission of
bad quality
ECG signals to
the cloud server
can reduce
lifetime of on-
device battery .

EXISTING SYSTEM
• This system has been designed to take several inputs to measure
physiological parameters of human such as temperature, heart rate,
detection of any fall and the saline level.
• The inputs from the sensors are integrated and processed. The results are
sent through the Zig bee Module to a host computer, which stores the
data into an Access Database.
• The values can then be displayed on the Graphical User Interface (GUI)
running on a computer. If it is inferred that the person is medically
distressed, an alarm may be generated.
• The program is a user interface, allowing a report on the current status
of the individual.

PROPOSED SYSTEM
• In this proposed work the vital parameters such as temperature,
ECG and heart beat readings which are monitored using Arduino
Uno.
• Here patients body temperature , ECG and heart rate is measured
using respective sensors and it can be monitored in the screen of
computer using Arduino Uno connected to a cloud database system
as well as monitored anywhere in the world using internet source.

CONTINUED…
• The proposed method of patient monitoring system monitors
patient’s health parameters using Arduino Uno.
• After connecting internet to the Arduino Uno, it is connected to
cloud database system which acts as a server.
• Then the server automatically sends data to the receiver system.
Hence, it enables continuous monitoring of the patient’s health
parameters by the doctor.

12
• Arduino is an open-source electronics platform based on easy-to-use hardware
and software.
• Arduino boards are able to read inputs - light on a sensor, a finger on a button, or
a Twitter message - and turn it into an output - activating a motor, turning on an
LED, publishing something online.
• The Arduino Uno is a microcontroller board based on the ATmega328.
• It has 20 digital input/output pins, a 16 MHz resonator, a USB connection, a
power jack, an in-circuit system programming (ICSP) header, and a reset button.
• The Arduino language is C++, but it is very different from most C++ varieties.
• The Arduino language has a lot of abstraction built in, especially in the hardware
interfaces, which makes it very simple to use.
ARDUINO UNO

NODE MCU 13
 NodeMCU is an open-source based firmware and development board
specially targeted for IoT based Applications.
 It includes firmware that runs on the ESP8266 Wi-Fi SoC from Espressif
Systems, and hardware which is based on the ESP-12 module.
 Microcontroller: Tensilica 32-bit RISC CPU Xtensa LX106.
 Operating Voltage: 3.3V.
 Input Voltage: 7-12V.
 Digital I/O Pins (DIO): 16.
 Analog Input Pins (ADC): 1.

POWER SUPPLY DIAGRAM (5 V
POWER SUPPLY)
14

15
• Relays are electric switches that use
electromagnetism to convert small electrical
stimuli into larger currents.
• Trigger Voltage (Voltage across coil) : 5V
DC.Trigger Current (Nominal current) : 70mA.
• Maximum AC load current: 10A @ 250/125V
AC.
• Maximum DC load current: 10A @ 30/28V DC.
• Compact 5-pin configuration with plastic
moulding.
• Operating time: 10msec Release time: 5msec.
RELAY

ECG SENSOR
• The AD8232 is a neat little chip used to
measure the electrical activity of the heart.
• This electrical activity can be charted as an
ECG or Electrocardiogram.
Electrocardiography is used to help diagnose
various heart conditions.
• This sensor is a cost-effective board used to
measure the electrical activity of the heart.
• This electrical activity can be charted as an
ECG or Electrocardiogram and output as an
analog reading.
• So in this project, we will interface AD8232
ECG Sensor with Arduino and observe the
ECG signal on a serial plotter or Processing
IDE

PULSE SENSOR
• Pulse sensor is designed to give digital output
of heat beat when a finger is placed on it.
• When the heart beat detector is working, the
beat LED flashes in unison with each heart
beat.
• This digital output can be connected to
microcontroller directly to measure the Beats
Per Minute (BPM) rate.
• It works on the principle of light modulation
by blood flow through finger at each pulse.

LM35 TEMPERATURE SENSOR
• The LM35 is one kind of commonly used
temperature sensor that can be used to
measure temperature with an electrical o/p
comparative to the temperature (in °C).
• It can measure temperature more correctly
compare with a thermistor.
• This sensor generates a high output
voltage than thermocouples and may not
need that the output voltage is amplified.
• The LM35 has an output voltage that is
proportional to the Celsius temperature.
The scale factor is .01V/°C.

ADVANTAGES
• Smarter communication with medical personnel.
• Large data for agencies to mine upon and research
for patterns and solve complex problems.
• Set up med camps in remote areas of the world and
provide diagnosis.
• Cheaper add on devices with sensing capabilities.

APPLICATIONS
• Hospitals.
• Long Drives Engines Drivers.
• Many Orphanages Used this kind of system.

CONCLUSIONS 21
• The Internet of Things is considered now as one of the
feasible solutions for any remote value tracking especially
in the field of health monitoring.
• It facilitates that the individual prosperity parameter data is
secured inside the cloud, stays in the hospital are reduced
for conventional routine examinations and most important
that the health can be monitored and disease diagnosed by
any doctor at any distance.
• In this project, an IoT based health monitoring system was
developed.

IOT BASED HEALTH MONITORING BY USING PULSE OXIMETER AND ECG

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IOT BASED HEALTH MONITORING BY USING PULSE OXIMETER AND ECG