Real time ECG signal monitoring using IoT gateway

Authors

  • L. K. Hema Associate Professor, ECE Department, Aarupadai Veedu Institute of Technology,Vinayaka Mission’s Research Foundation, Deemed to be UniversityIndia Author
  • V. Vanitha Assistant Professor, ECE Department, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Deemed to be University India Author
  • J. Vijay Assistant Professor, ECE Department, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Deemed to be University India Author
  • Rajat Kumar Dwibedi Assistant Professor, ECE Department, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Deemed to be University India Author

DOI:

https://doi.org/10.61841/hasj1007

Keywords:

ECG, IoT, Node MCU

Abstract

-Electrocardiogram is a health taping apparatus which is used to track Human heart electrical activity. Each heart beat is triggered by the phases of this electrical activity of excitation (depolarisation) and recovery (polarization). This patient history of the ECG is very important to detect or diagnose heart disease viz., regurgitation of the aortic valve, coronary artery disease, mitral stenosis etc. In our work we proposes to establish an ECG tracking system linked to the Internet of Things and simultaneously store data to the cloud at very inexpensive prices. The medical and paramedic health professionals (Android device) are able to track the patient's heart activity on a continuous basis and can fully remove the assistance near the patient. The medical and med tech medical practitioners (Android device) are capable of controlling the sufferer's cardiac output on an ongoing basis and can remove the aid around the person completely. A three lead sensor module called with electrode leads ADS1292R allows the patient to be positioned above the thorax.

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References

1. Kiourexidou, Matina, et al. “Augmented reality for the study of human heart anatomy,” International Journal of Electronics Communication and Computer Engineering, vol. 6, no. 6, pp. 658, 2015.

2. Sankar Kumar, S., et al., “A Cost effective Arduino Module for Bedridden patient’s Respiratory Monitor and Control,”International Journal of advanced research trends in engineering and technology,vol. II, 2015.

3. Hema, L. K., R. Indumathi, and R. Mohanapriya.,“IoT based electrocardiography for monitoring,”International Journal of Pure and Applied Mathematics,vol. 119, no.16, pp. 1927-1932, 2018.

4. Bhagya Lakshmi.J.M, Hariharan.R, Udaya Sri.C, Nandhini Devi .P, Sowmiya. N, “Heart Beat Detector using Infrared Pulse Sensor” IJSRD - International Journal forScientificResearch & Development, vol. 3, no. 9, 2015.

5. Saquib, Nazmus, et al., “Measurement of heart rate using photoplethysmography,”2015 International Conference on Networking Systems and Security,IEEE, 2015.

6. Embedded Lab, PC-based heart rate monitor using Arduino and Easy Pulse sensor.http://embeddedlab.com/blog/?p=7485, 2013

7. Raj, Remya, and S. J. Jothi. “Estimation of heart rate from hotoplethysmographic signal using SVR method,”The International Journal of Science & Technoledge, vol. 2, no. 2, 2014

8. M. M. A. Hashem, et al.,“Design and development of a heart rate measuring device using fingertip,” International Conference on Computer and Communication Engineering,IEEE, 2010.

9. L.K.D Hema, D. Murugan, and M. Chitra,“WSN based Smart system for detection of LPG and Combustible gases,”National Conf. on Architecture, Software systems and Green computing-2013.

10. Arun, Uma, Sriraam Natarajan, and Rama Reddy Rajanna, “A Novel IoT Cloud-based Real-Time Cardiac Monitoring Approach using NI myRIO-1900 for Telemedicine Applications,”International Conference on Circuits, Control, Communication and Computing, 2018.

11. Kamble, Prachi, and Ashish Birajdar. "IoT Based Portable ECG Monitoring Device for Smart Healthcare." 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM). Vol. 1. IEEE, 2019

12. Beach, Christopher, et al. "An ultra low power personalizable wrist worn ECG monitor integrated with IoT infrastructure." Ieee Access 6 (2018): 44010-44021

13. Hussein, Ahmed Faeq, et al. "An automated remote cloud-based heart rate variability monitoring system." IEEE Access 6 (2018): 77055-77064

14. DddwwAldossary, Fuhaid. "Health Observation System Using Cloud Computing." International Journal of MC Square Scientific Research 9.4 (2017): 08-16

15. Nivedha, M., and J. P. Vinusha. "WEARABLE HEALTHCARE DEVICE FOR PREGNANT WOMEN."

International Journal of MC Square Scientific Research 9.1 (2017): 178-182

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Published

31.10.2020

How to Cite

Hema, L. K., Vanitha, V., Vijay, J., & Kumar Dwibedi, R. (2020). Real time ECG signal monitoring using IoT gateway. International Journal of Psychosocial Rehabilitation, 24(8), 10499-10504. https://doi.org/10.61841/hasj1007