Final Year Project Presentation_IoT Oximeter aaaaaaaaaaaaaaaaaaaaa.pdf

Introduction

Overview of pulse oximetry.
Introduction to IoT (Internet of Things).
The significance of integrating IoT with pulse oximetry.
Purpose and scope of the essay.
Understanding Pulse Oximetry

Definition and basic principles of pulse oximetry.
How a traditional pulse oximeter works.
Importance of monitoring blood oxygen levels.
Applications of pulse oximetry in healthcare.
The Role of IoT in Modern Healthcare

Definition and overview of IoT.
How IoT is transforming healthcare.
Examples of IoT applications in healthcare (e.g., remote patient monitoring, smart medical devices).
IoT-Based Pulse Oximeter: Concept and Design

What is an IoT-based pulse oximeter?
Key components of an IoT-based pulse oximeter.
Sensor technology.
Microcontroller/processing unit.
Connectivity options (Wi-Fi, Bluetooth, etc.).
Power management.
Data collection and transmission methods.
Integration with cloud platforms and mobile applications.
Advantages of IoT-Based Pulse Oximeters

Enhanced remote monitoring capabilities.
Real-time data analysis and alerts.
Improved patient compliance and engagement.
Data storage and trend analysis.
Accessibility for patients in remote areas.
Challenges and Limitations

Security and privacy concerns.
Connectivity issues and reliability.
Power consumption and battery life.
Data accuracy and calibration.
Integration with existing healthcare systems.
Applications and Use Cases

Home healthcare and chronic disease management.
Post-operative monitoring and telemedicine.
Use in emergency situations and ambulatory care.
Applications in sports and fitness.
Potential for large-scale health data analysis and public health monitoring.
Future Trends and Innovations

Advances in sensor technology.
AI and machine learning integration.
Enhanced data security measures.
Expansion of IoT networks (5G, LPWAN).
Potential for personalized healthcare solutions.
Conclusion

Summary of key points.
The impact of IoT-based pulse oximeters on healthcare.
The future outlook for IoT in healthcare.
Final thoughts on the adoption of IoT-based medical devices.
Essay:
Introduction

Pulse oximetry is a non-invasive method used to measure the oxygen saturation level (SpO2) in a person’s blood. It is a critical tool in both clinical settings and home care, enabling the monitoring of a patient's respiratory status. With the advent of the Internet of Things (IoT), traditional medical devices, including pulse oximeters, are being transformed into smart devices capable of providing continuous monitoring, real-time data analysis, and remote accessibility. This essay explores the concept of an IoT-based pulse oximeter, its design, benefits, challenges, and future potential in the healthcare industry.

Understanding Pulse Oximetry

Pulse oximetry is a simple yet vital technology that provides a quick and painless way to measure blood oxygen saturation levels. The device, known as a pulse oximeter, typically consists of a sensor that is clipped onto a thin part of the pat

1. IOT Based , Low-Cost Pulse Oximeter
Presented By : Supervisor : Dr.Sadia Shakil
M.Salman Shahid Co-Supervisor : Dr. Salma Zainab Farooq
170401026
Husn Ul Maab
170401013

2. Contents
•Introduction
•7
th
Semester Deliverables
•Flow Diagram
•Literature Review
•Cost Comparison
•Selection of Components
•8
th
Semester Deliverables
•Interfacing of Components
•Live Monitoring of Vitals
•Wireless Monitoring Using Bluetooth and Smartphone Application
2

3. Contents
•Online Database
•Alert Generation
•Result and Conclusion
•Limitations and Future Enhancement
•GanttChart of Project
3

4. Objectives
The main objectives of our project are
■Provide a low cost pulse oximeter for monitoring.
■Facilitate caretakers by using the IoT technology so that they may
monitor the situation from a distance.
■To develop a product that takes social distancing into
consideration.
4

5. Introduction
◉Pulse Oximeter is a device that is used to quickly and easily monitor a
person’s oxygen saturation.
◉It can measure the level of oxygen within blood specifically in arterial
blood without using any invasive means
5

6. Introduction
◉Arterial blood flows towards part of body from heart fresh with oxygen
where it diffuse to surrounding tissues
◉Usually helpful in knowing the cardiac status of the body and now a days
also in detecting the SPO2 level of COVID patients
6

7. 7
th
Semester Deliverables
•Literature Review
•Selection of Components
•Experimental Setup
7

8. FlowDiagram
8

9. LiteratureReview
◉Pulse oximeter shines light through finger
◉Blood absorbs light and there is difference between wavelength that go
through oxygenated and deoxygenated blood
9

10. Cost Comparison
◉Usually, Pulse Oximeters ranges from Rs.2500 to Rs.16000
◉Our PulseOximeter costs RS.5000 with additional functionalities.
10

11. SelectionofComponents
Oximeter Sensor Alternatives
MAX30102
->Features
•SP02 measurement
•Heart rate measurement
MAX30100
->Features
•SP02 measurement
•Heart rate measurement
11

12. MAX30100
◉Ambient Noise Rejection
◉Ultra low power Consumption
◉Good for wearable devices
12

13. Micro Controller
Alternatives
•Raspberry Pi 3
•ArduinoUNO
◉Arduino UNO is being used as a micro
controller
Features
•I2C communication protocol
•Low power consumption
•Easily Available
•Low Cost
13

14. Wireless Alternatives.
•HC-05 Bluetooth Module
•ESP-8266WiFi Module
◉HC-05 appeared to be the better option in thiscase.
14

15. Display Alternatives.
•16*2 LCDDisplay
•OLED (0.96”) Display
◉OLED isuseda display
Features
•Smallin size
•HighQuality Text
15

16. 8
th
Semester Deliverables
◉Hardware Interfacing
◉App development
◉Web development
◉HW/SW integrated system
AdditionalAchievement
◉Alert Generation
16

17. Methodology
◉Thereisadifference intheabsorption ofRed and IR lights by oxygenated
and deoxygenated blood. That difference is used to calculate a ratio which is
used in linear equation to calculate the oxygen saturation.
17

18. Methodology
◉The formula for the ratio , known as the ratio of ratios is given below,
along with the linear equation used to calculate the oxygen saturation.
◉Thevaluesfor the coefficients A and B are found out by a calibration
scale already present in the sensor,
18

19. Methodology
◉The heart rate is calculated using the different between thepeaksobtained from the absorption
curves , as each peak represents a single beat , and if we are able to calculate the difference between
two consecutive peaks, we can find out the heart rate using thefollowing formula
◉60/timedifferenceinseconds
19

20. Interfacing of
Components
◉The components were interfaced as shown in the following diagram
20

21. Live Monitoring Using
Display
◉In this stage , we tested the basic monitoring of the vitals using only an
OLED display to readily test the precision and accuracy of our device.
21

22. Wireless Monitoring
Using Application
◉In this stage, we tested the wireless transferring of our data using
Bluetooth , to ensure the stability and reliability of data transfer.
22

23. Wireless Monitoring
Using Application
◉The results were as follows.
23

24. Wireless Monitoring
Using Application
◉The designblockforthe wireless monitoring
24

25. Online Database
◉Inthisstage , we developed an online database , so the patient’s data can
be stored and monitoredoverlongterminthescenariothisproductis
usedinmedicalinstitutions or hospitals.
25

26. Online Database
26

27. Alert Generation
◉Whenever the user’s vitals are above or below the threshold, an alert
message is sent to the caretaker’s provided phone number.
27

28. Alert Generation
◉The designer block diagram for thealertgeneration
28

29. Prevention From False
Alert
◉False readings can happen from time to time , due to muscle jerks or ambient
lighting changes, especially in older patients.
◉Generating an alert based on just one abnormal reading is not practical.
◉We generate our alert after 5 consecutive abnormal readings, using a “count”
variable which resets after each alert.
29

30. ResultsAndConclusion
◉The oxygen saturation level and beats per minute are accurate and precise when
compared with market oximeters
30

31. Results And Conclusion
◉Distance Monitoring usingApplication has been achieved successfully.
31

32. Results And Conclusion
◉Online Database has been developed and data has been uploaded
successfully.
32

33. Results And Conclusion
33

34. Results And Conclusion
◉Alert has been sent successfully using the application to the caretaker’s
mobile.
34

35. LimitationsandFuture
Enhancement
◉Some anomalous readings due to sudden muscle movement or ambient lighting.
◉ForFuturework,wearecarryingout research on different microcontrollers such
as NodeMCU.
◉Asend button will be added to application so that users may send data anytime
they wantandthatdatacanbeaccessedusingGoogle Sheet .
35

36. Gantt Chart of Project
36

37. 37
Thank You
Any Questions?