Fingertip ecg acquisition

1. FINGERTIP ECG
ACQUISITION SYSTEM
BY:
Project Guide
[ ]
Department of Electronics and Communication Engineering
Name Section USN
Adarsh A ECE A 1RN19EC008
Adarsh M Bhat ECE A 1RN19EC009
Harish KV ECE A 1RN19EC050
N Brijesh ECE B 1RN19EC080
Miproject PhaseI presentation
RNS INSTITUTE OFTECHNOLOGY
(AICTE Approved,VTU Affiliated and NAAC ‘A’ Accredited

2. Agenda
 Introduction
 motivation
 Problem Definition
 Objectives of the Project
 Related Work / Background / Review of Literature
 Proposed Methodology
 Architecture
 Model
 Algorithm
 Experimental Results and Observations
 Conclusions and FutureWork
 References andThank you
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Project Title 2

3. Introduction/Abstract
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4. RelatedWork / Background / Review of
Literature
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Project Title 4

5. Proposed Methodology
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Project Title 5

6. Architecture/Model/Algorithm
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miniproject Phase1, ECE 6

7. Experimental Results and
Observations
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8. Experimental Results and
Observations
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9. Conclusions and FutureWork
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10. References andThank you
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Project Title 10

11. sample report goes here onwards
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12. INTRODUCTION
• Electrocardiogram, abbreviated as ECG is a test that measures the electrical
activity of the heart.
• With each heartbeat, an electrical impulse travels through the heart which
causes the heart muscles to contract and relax pumping blood in and out of the
heart.
• Electrical signals are produced by the polarisation and depolarisation i.e., by
contractions of the cardiac tissue which drive electrical currents and create
different potentials throughout the body.
• An ECG graph gives vital information about the proper functioning of the
heart and its abnormalities.
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13. FINGERTIP ECG ACQUISITION SYSTEM 9/28/2023
Fig. [1] : Segmented PQRS
Waveform

14. PROBLEM DEFINITION
• People with cardiovascular diseases are at high risks of possible
cardiovascular events and are prone to abnormal heart activities.It is therefore
necessary to monitor their heart activities under sensitive situations.
• Conventional ECG systems are tethered and not easily portable.
• Also, traditionally, ECG recordings are performed by doctors in hospitals and
clinics and are not available to record one’s heart activity while being in
various environments and engaged in various activities.
• Hence it becomes necessary to address the problems of the conventional ECG
system and make it convenient for cardiovascular patients to record their heart
activity with ease and without a specialist’s intervention.
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15. OBJECTIVES OFTHE PROJECT
The device should be:
 A non-bulky system and would be portable
 Is very easily integrated with the finger tip sensor and the display
 Does not require any sort of patient preparation
 Is usable by the patient working in any environment and undergoing any
activity
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16. FINGERTIP ECG ACQUISITION SYSTEM
Pulse sensor detects the
heartbeat and converts
it into Electrical Signal
These electrical signals
are then sent to the
Arduino for processing.
What happens in the
Arduino: Filtering, Peak
detection, heartbeat
waveform
segmentation and
amplification
The resultant graph and
other data is displayed
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PROPOSED SOLUTION

17. FINGERTIP ECG ACQUISITION SYSTEM 9/28/2023
Fig. [2] : Circuit Diagram

18. EXPLANATION OF CODE
• There is a threshold condition to avoid high frequency and unwanted noise.
• The variables are declared to receive signals from the heart sensor. The inbuilt
Arduino LED blinks every time it receives a pulse.
• This sensor/device works on the principle of generation of an electrical signal
at the fingertip, which is detected by the sensors. At every contraction the
electrical signal surpasses a threshold value, so that the heart sensor switches
on and the pulse can be detected.
• The pulse value is detected and is displayed on the Serial monitor with certain
intervals. The QRS curve which is expected, is displayed with Time (in ms) on
X-axis and Voltage (mV) on Y-axis. Thus, the graph output can be obtained.
• The software used are Arduino IDE. Arduino IDE uses Embedded C language
code to pick up the electrical signals from the sensors and displays the PQRS
curve of the heart.
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FINGERTIP ECG ACQUISITION SYSTEM

19. 9/28/2023
FINGERTIP ECG ACQUSITION SYSTEM

20. OUTPUT
• By using this system, one’s heart rate can be measured through fingertip.
• The system determines the heart beat rate per minute and displays the ECG
waveform on the computer screen.
• It can be interfaced to get the output on a mobile screen as well.
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FINGERTIP ECG ACQUSITION SYSTEM
Fig. : Trial Output Run 1

21. Fig. : Trial Run Output 2
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Project Title 21

22. ADVANTAGES OF PROPOSED
SOLUTION
• Eliminates the use of Conducting gel(The gel is used to bind the electrodes to the
chest region in the human body) - Dry sensors are used in a fingertip ECG system
which is completely versatile and very easy to use.
• Highly portable - It is a small device, unlike the conventional bulky ECG machine
used in labs and hospitals.
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23. ADVANTAGES OF PROPOSED
SOLUTION
• Easily affordable - Use of small electronic components and the seamless
combination of Hardware and Software makes our proposed solution an affordable
one.
• Can also be considered as the small chunk of an integrated system - The use of
state-of-the-art Microcontrollers prove to be efficient in achieving a seamless
addition of different kinds of sensors.
• The SNR here is high compared to the PPG sensors used in smartwatches.
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24. 9/28/2023
FINGERTIP ECG ACQUISITION SYSTEM
COMPARISION OF DIFFERENT
ECG SYSTEMS AVAILABLE
Sl. No Complexity User friendly Additional
features
Sensors References
1. Usage of ARM board,
TFT and PC, not cost
effective
Fingertip, no
patient
preparation
required
Signal processing
through hardware
ThreeAgAgCl
sensors
S. A. Benade, U.
L. Bombale
2. Complex, data used
for remote
monitoring
Not mentioned Signal processing
through hardware
Khalid Mohamed
Alajel, et. al
3. Data being used for
biometric
authentication
User friendly, not
portable
Signal processing
through software
DryAg/AgCl
sensors
Hugo Placido da
Silva et. al.
4. A Mobile healthcare
System, complex
User friendly Complex signal
processing
through software
Wireless ECG
extraction device
Ren-Guey Lee,
et. al.
5. Very simple and
portable
User friendly,
needs no patient
preparation
Signal processing
through software
Pulse Sensor Present work

25. COMPONENTS OVERVIEW AND
WORKING
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FINGERTIP ECG ACQUSITION SYSTEM
Figure (i): Heart sensor
(ii): Fingertip ECG Acquisition system

26. BUDGET
• An estimate of the total budget is about One thousand Rupees i.e., 1000INR
• The split-up for the above is as follows:
Arduino Development Board with Connector: 500 INR
Heart rate sensor: 200 INR
Electronic components such as LCD display, jumpers and others: 250 INR
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27. FUTURE DEVELOPMENT
• Normal ECG database of all age categories can be taken in memory
and a buzzer can be interfaced to the Arduino.
• The displayed ECG waveform on the PC can be compared to the
database.
• If there is a difference between the two, then the buzzer will sound
indicating that the ECG waveform is not normal.
• This system can also be integrated with other medical systems thereby
increasing the functionality of the project.
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Fingertip ECG System

28. REFERENCES
• K. Singh, A. Singhvi and V. Pathangay, "Dry contact fingertip ECG-based authentication system
using time, frequency domain features and support vector machine," 2015 37th Annual
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
Milan, 2015, pp. 526-529
• Dinh A., Luu L., Cao T. “Blood Pressure Measurement Using Finger ECG and
Photoplethysmogram for IoT, 6th International Conference on the Development of Biomedical
Engineering in Vietnam, BME 2017, IFMBE Proceedings, vol 63. Springer, Singapore.
• Lourenco, Andre & Plácido da Silva, Hugo & Santos, Daniel & Fred, Ana, “Towards a Finger
based ECG Biometric System”, Biosignals, 2011, 348-353.
• Haseena P A, R. Dharmalingam, “Noncontact Fingertip ECG and Multi Detection System”,
International Journal of Advanced Research in Electrical, Electronics and Instrumentation
Engineering, 5(11), 2016.
• S. A. Benade1, U. L. Bombale, “Finger Touch Based ECG Monitoring”, International Journal of
Research in Engineering and Technology, 5(7) 2016
• André Lourenço, Hugo Silva, Ana Fred, "Unveiling the Biometric Potential of Finger Based ECG
Signals", Computational Intelligence and Neuroscience, vol. 2011, 8 pages, 2011
• M.M.A. Hashem et. al., “Design and Development of a Heart Rate Measuring Device using
Fingertip”, Procs. of the IEEE International Conference on Computer and Communication
Engineering (ICCCE10), 2010, pp. 197-201
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29. BIBLIOGRAPHY
 https://www.aclsmedicaltraining.com/basics-of-ecg/
 https://ijret.org/volumes/2016v05/i07/IJRET20160507040.pdf
 https://create.arduino.cc/projecthub/user8702584/cardiac-monitoring-system-ekg-45f156
 https://en.wikipedia.org/wiki/Arduino_Uno
 https://www.researchgate.net/publication/221335136_Towards_a_Finger_based_ECG_Biome
tric_System
Figures:
[1] https://www.mayoclinic.org/tests-procedures/ekg/about/pac-
20384983#:~:text=An%20electrocardiogram%20(ECG%20or%20EKG,attached%20comput
er%20monitor%20or%20printer.
[2] https://create.arduino.cc/projecthub/user8702584/cardiac-monitoring-system-ekg-
45f156
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Fingertip ECG Acquisition System

30. THANKYOU!