This presentation talks about implementation of IoT in Healthcare domain. It contains introduction, analysis, future scope, challenges etc. on the same.

1. * Inter- Disciplinary Project
* IMPLEMENTATION OF IOT IN
HEALTHCARE DOMAIN
Project code: IPT3002_17_EVEN_1

2. *WHY IoT IN
HEALTHCARE?
The Internet of Things (IoT) is increasingly being recognized by
researchers and analysts as one of the most sophisticated technologies that
has the potential to not only affect the health, safety and productivity of
billions of people but also has a major economic impact.
Increasing incidences of chronic disease and degrading health care services
in the rural and remote areas generate a need for a system of continuous
health monitoring and its real time transmission to the experts.
This great combination and amalgamation could help mankind altogether.

3. *ADVANTAGES &
DISADVANTAGES OF IoT
Security of data
isn’t assured
Massive amount of
data production
with all the
devices linked
together
Companies need to
assure a way to
track, analyse and
make sense of the
large data
generated
DISADVAN
TAGES
Lowered cost of
care
Improved
patient
outcomes
Real time
disease
management
Improved quality
of life
Improved user
experience
ADVANTA
GES

4. *OBJECTIVE OF THE
PROJECT
AIM: Build a prototype for future diagnosis at hospitals.
CENTRAL IDEA: Remotely diagnose the patients and reduce diagnosis time at
the hospitals.
OBJECTIVE: Making a Pulse Rate Detection and Monitoring System. The
sensed data will be sent to ThingSpeak server , so that Pulse Rate can be
monitored from anywhere in the world over the internet, in real time.

5. The entire methodology was divided into two modules.
The first module implemented the making of ‘Pulse Rate Monitoring System’ and displaying
the result on the LCD screen attached.
After successfully sending the data on the LCD screen, the model was built using NodeMCU to
initiate data transfer from the sensor to the 'Thignspeak' channel, thus implementing IoT.
*METHODOLOGY
MODULE 1
Making Pulse Rate Monitoring
System and sending data on
attached LCD screen.
MODULE 2
Sending the sensed data on
Thingspeak channel for real
time data monitoring.

6. *MODULE 1
FIGURE: Schematic for the Module1 FIGURE: Circuit in operation
The first module implemented the making of ‘Pulse Rate Sensor’ and
displaying the result on the LCD screen attached.

7. After successfully sending the data on the LCD screen, the model was implemented
using NodeMCU to initiate data transfer from the sensor to the 'Thingspeak' channel.
*MODULE 2
FIGURE: Circuit Diagram developed using
FRITZING.
FIGURE: The project set-up using NodeMCU
and the Pulse Rate Sensor (SEN11574)
FIGURE: The ‘Thingspeak’ channel and the
data received by it in real time.

8. * OBSERVATION
TABLE
FIGURE: Real time chart on Thingspeak
channel.

9. *CONCLUSION
This project is a necessity in hospitals and diagnostic centers , as it aims to
remotely diagnosis the patients.
This project helped us in implementing IoT. It exposed us to an entirely new
world of electronics.
Integration of latest technologies like IoT in healthcare domain would help to
reduce diagnosis time and would help in better and accurate diagnosis.
It would coin the concept of ‘remote and mobile diagnosis’. It could be
revolution in the healthcare industry altogether.

10. *FUTURE SCOPE
This project mainly finds it use in the field of medical diagnosis, in a
country like India where rural population and remote areas plays an
important role.
It is important to have an effective and on-time diagnosis system. We can
make the whole diagnosis process better by introducing this idea.
We can also add many other devices like body temperature sensor etc.

11. What we developed in the project is a mere prototype
and this can be well extended on a large scale to
incorporate the various segments of the healthcare
domain.
Apart from the healthcare domain, almost all the
industries can be made technology adaptive and IoT
implemented.

12. *CHALLENGES
* Addressing Emerging Challenges in IoT-MD: The integration and
management of IoT-MD is not without significant bottlenecks and
challenges.
* Managing device diversity and interoperability: In the connected
health domain, a variety of devices, instruments and equipment from
device vendors and OEMs, located in homes and clinics, will
connect to backend databases via aggregation devices located at the
site.

15. THANK YOU!