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1. VISVESVARAYA TECHNOLOGICAL UNIVERSITY
Jnana Sangama, Belagavi, Karnataka 590018.
Dr. AMBEDKAR INSTITUTE OF TECHNOLOGY
(An Autonomous Institute, Affiliated to Visvesvaraya Technological University, Belagavi, Accredited by NAAC, with 'A" Grade)
Near Jnana Bharathi Campus, Bengaluru - 560056
DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING
Major Project (CSP83) Presentation on
“Wearable Band for COVID-19 Patients"
Submitted by
For the academic year 2020-21
Under the Guidance of
Shanmuga Priya R.
Assistant Dept. of CSE,
Dr. AIT, Bengaluru - 56.
STUDENT NAMES USNs
SANGEETHA EM 1DA15CS117
SRIKANTH YADHAV BV 1DA18CS429
SURAJ G 1DA18CS431
YATHEESHA B 1DA18CS436
1
2. Agenda
• Abstract
• Introduction.
• Existing System
• Proposed System
• Literature Survey
• Requirement Specification.
• Architecture Diagram
• Advantages
• Conclusion
• References
3. Abstract
• Corona virus disease 2019 (COVID-19) has emerged as a pandemic
with serious clinical manifestations including death.
• A pandemic at the large-scale like COVID-19 places extraordinary
demands on the world’s health systems, dramatically devastates
vulnerable populations, and critically threatens the global communities
in an unprecedented way.
• It is also critically important to examine the technologies and systems
for tackling disease emergence, arresting its spread and especially the
strategy for diseases prevention.
4. Introduction
• Corona virus disease-2019 (COVID-19) has become a pandemic,
affecting more than 210 countries throughout the world.
• According to the latest data from the World Health Organization
(WHO), the epidemic has infected more than 3,349,000 people.
• As of 3 May 2020, the number of confirmed cases for COVID-19 is
about 400 times more than the previous corona virus-induced
severe acute respiratory syndrome (SARS).
• The COVID-19 outbreak not only threatens global public health but
also impacts many other aspects of life, in particular the global
economy.
5. • Clinical deterioration can occur rapidly, often during the second
week of illness, which can lead to intensive care unit (ICU) admission
and high mortality.
• COVID-19 varies from asymptomatic, subclinical infection and mild
illness to severe or fatal illness.
• Cases of COVID-19 are generally categorized into five groups:
asymptomatic, mild, moderate, severe, and critical.
• . Lessons from epidemic centers such as China, Italy and United
States show that COVID-19.
6. Objective
• The patient with COVID-19 should have self-monitoring allows
the early detection of exacerbations.
• The treating physician to assess control of asthma and
investigate reasons for poor control.
• Health care managers to assess the quality and cost of care for
patients with COVID-19.
7. Literature Survey
SL
No
Year Title of the paper Authors Summary
1 2020 A Weakly-Supervised
Framework for COVID-19
Classification and Lesion
Localization From Chest CT
Aug. 2020
Xinggang Wang,
Xianbo Deng,
Qing Fu, Qiang
Zhou, Jiapei Feng,
This model can accurately predict
the COVID-19 infectious
probability and discover lesion
regions in chest CT without the
need for annotating the lesions
for training. The easily-trained
and high-performance deep
learning algorithm provides a fast
way to identify COVID-19
patients, which is beneficial to
control the outbreak of SARS-
CoV-2.
8. Literature Survey
SL
No
Year Title of the paper Authors Summary
2 2020 Comparative replication and
immune activation profiles of
SARS-CoV-2 and SARS-CoV
in human lungs: an ex vivo
study with implications for the
pathogenesis of COVID-19
2020 Apr 9
Hin Chu,Jasper
Fuk-Woo Chan
Yixin Wang
Terrence Tsz-Tai
Yuen
We comprehensively investigated
the replication, cell tropism, and
immune activation profile of
SARS-CoV-2 infection in human
lung tissues with SARS-CoV
included as a comparison.
9. Literature Survey
SL
No
Year Title of the paper Authors Summary
3 2013 Enabling Smart Personalized
Healthcare: A Hybrid
Mobile-Cloud Approach for
ECG Telemonitoring
2014 IEEE
Xiaoliang Wang,
Qiong Gui,
Bingwei Liu,
Zhanpeng Jin
we propose a new
hybrid mobile-cloud
computational solution to enable
more effective
personalized medical monitoring
10. Literature Survey
SL
No
Year Title of the paper Authors Summary
4 2020 Clinical features of patients
infected with 2019 novel
coronavirus in Wuhan, China
Chaolin Huang,
Yeming Wang,
Xingwang Li, Lili
Ren, Jianping
Zhao
In December, 2019, a series of
pneumonia cases of
unknown cause emerged in
Wuhan, Hubei, China,
with clinical presentations
greatly resembling viral
pneumonia.9 Deep sequencing
analysis from lower respiratory
tract samples indicated a novel
coronavirus,which was named
2019 novel coronavirus
11. Literature Survey
Title of the paper and
year
Methodology Advantages Disadvantages
Report of the WHO-
China Joint Mission
on Coronavirus Disease
2019 (COVID-19)
Feb 2020
Joint Mission gave
particular focus to
addressing key
questions related to the
natural history and
severity of COVID-19.
The findings in this
report are based on the
Joint Mission’s review
of national and local
governmental reports,
discussions on control
and prevention
measures with national
and local experts and
response teams, and
observations made and
insights gained during
site visits.
Reassess risk and
capacities based on
different stages of the
outbreak; approve
different measures
during the different
phases of the response;
assess different stages
of the response; reach a
balance between
response and social
development
12. Existing System
• The aim of the architecture design is to provide an easier
access to information and services, better patient healthcare
services.
• Transparent and efficient use of healthcare resources, and a
fast response by the hospital side in case of Covid attack.
• No proper record found for all persons.
• There is individual and automatic monitoring of person health
conditions.
• Tracking is not possible.
13. Proposed System
• Individual and Automatic reading of sensor values for health
condition.
• Intimation to the doctor if any changes.
• Gps used for tracking the person.
• Continuously monitoring person location.
17. components:
Arduino Nano is one type of microcontroller
board, and it is designed by Arduino.cc. It
can be built with a microcontroller like
Atmega328. This microcontroller is also
used in Arduino UNO. It is a small size board
and also flexible with a wide variety of
applications.
The programming of an Arduino nano can
be done using the Arduino software. Click
the Tools option and select the nano board.
Microcontroller ATmega328 over the Nano
board comes with preprogrammed with a
boot loader.
Arduino NANO
18. components:
LM35 is a precession Integrated circuit Temperature
sensor, whose output voltage varies, based on the
temperature around it. It is a small and cheap IC
which can be used to measure temperature
anywhere between -55°C to 150°C. It can easily be
interfaced with any Microcontroller that has ADC
function or any development platform like Arduino.
Power the IC by applying a regulated voltage like
+5V (VS) to the input pin and connected the ground
pin to the ground of the circuit.
• Measure the body temperature of the patient
LM35 Temperature Sensor
19. components:
A Pushbutton Switch is a
switch designed so that its
contacts are opened and closed
by depressing and releasing a
pushbutton on the Switch in
the direction of its axis.
• Used to arise the emergency
condition
Push Button
20. components:
NEO-6M GPS Chip
At the heart of the module is a NEO-6M GPS chip from u-
blox. The chip measures less than the size of a postage
stamp but packs a surprising amount of features into its little
frame. It can track up to 22 satellites on 50 channels and
achieves the industry’s highest level of sensitivity i.e. -161
dB tracking, while consuming only 45mA supply current.
NEO-6M GPS Module
21. components:
MAX30100 is an integrated pulse oximeter and heart-rate
monitor sensor solution. It’s an optical sensor that derives
its readings from emitting two wavelengths of light from
two LEDs – a red and an infrared one – then measuring
the absorbance of pulsing blood through a photo detector.
This particular LED color combination is optimized for
reading the data through the tip of one’s finger. It is fully
configurable through software registers and the digital
output data is stored in a 16-deep FIFO within the device.
It has an I2C digital interface to communicate with a host
microcontroller.
SPO2 Sensor
22. components:
HC-SR04 Ultrasonic (US) sensor is a 4 pin module,
whose pin names are Vcc, Trigger, Echo and
Ground respectively. This sensor is a very popular
sensor used in many applications where measuring
distance or sensing objects are required. The
module has two eyes like projects in the front
which forms the Ultrasonic transmitter and
Receiver. The sensor works with the simple high
school formula that Distance = Speed × Time
Ultrasonic Sensor
29. Plan of Execution
In 7th semester
• Have gathered the information about the project and their
literature survey papers.
• We study of the microcontroller and other components with
respect to our project.
In 8th semester
• Finishing the project and presenting the Expected Output
30. Expected Outcomes
Monitoring all the sensors like temperature, heartbeat and spo2 values.
Track the person location if any gps values change.
Send intimation to the doctor if any sensor value crosses the threshold.
Send intimation message to nearest police station when person move
from quarantine location.
35. References
[1] Y. N. Mi et al., "Estimating instant case fatality rate of COVID-19 in China," International Journal of
Infectious Diseases, 2020.
[2] G. Onderet al., "Case-fatality rate and characteristics of patients dying in relation to COVID-19 in Italy,"
JAMA, 2020.
[3] Coronavirus (COVID-19). [Online]. Available: https://covid19.who.int/
[4] H. Chu et al., "Comparative replication and immune activation profiles of SARS-CoV-2 and SARS-CoV in
human lungs: an ex vivo study with implications for the pathogenesis of COVID-19," Clinical Infectious
Diseases, 9 April 2020.
[5] N. Ji et al., "Potential applications of wearable sensors in closed-loop management of STEMI patients during
pandemics (submitted)," in The 42nd Annual International Conference of the IEEE Engineering in Medicine
and Biology Society, Montreal, Canada, 2020.
36. References
[6] X. Wang et al., "Enabling smart personalized healthcare: a hybrid mobile-cloud approach for ECG
telemonitoring," IEEE Journal of Biomedical and Health Informatics, vol. 18, no. 3, pp. 739-745,
2013.
[7]2012 IEEE Life Sciences Grand Challenges Conference. [Online]. Available:
https://lifesciences.ieee.org/lsgcc/2012-ieee-life-sciences-grand-challenges-conference/
[8] "World Health Organization: Report of the WHO-China Joint Mission on Coronavirus Disease
2019 (COVID-19) 2020," Available: https://www.who.int/docs/default-source/coronaviruse/who-
china-joint-mission-on-covid-19-final-report.pdf, Accessed on: 11 April 2020.
[9] C. Huang et al., "Clinical features of patients infected with 2019 novel coronavirus in Wuhan,
China," The Lancet, vol. 395, no. 10223, pp. 497-506, 2020.
[10] Z. Wu and J. M. McGoogan, "Characteristics of and important lessons from the coronavirus
disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the
Chinese Center for Disease Control and Prevention," JAMA, vol. 323, no. 13, pp. 1239-1242, 2020.
