International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Real Time Data Acquisition Using Portable ECG Equipment

Shashank RawatStudent, Christ (Deemed to be University) College of Engineering, Karnataka, IndiaSumi SekharStudent, Christ (Deemed to be University) College of Engineering, Karnataka, IndiaAlwin VargheseStudent, Christ (Deemed to be University) College of Engineering, Karnataka, India

Vol 5 No 11 (2021): Volume 5, Issue 11, November 2021 | Pages: 10-14

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 17-11-2021

doi Logo doi.org/10.47001/IRJIET/2021.511003

pdf iconFull Text PDF
Abstract
The ECG is an important and essential instrument to detect heart abnormalities. The conventional ECG uses a 12 lead system and is quite bulky in nature. Unlike the conventional one, an attempt to make a cost effective and portable ECG was made. The system has been implemented in hardware and tested. This work presents a first approach to the design, development, and implementation of a 3 lead portable ECG for the real time measurement of heart beats. The device follows a design scheme, which consists of an electrocardiogram (ECG) signal acquisition module, a processing module and a wireless communications module. From real time ECG signals, the processing module algorithms perform a spectral estimation of the HRV. The experimental results demonstrate the viability of the portable ECG machine and the proposed processing algorithms.
Keywords

ECG/EKG, HRV, BPM, MATLAB, FFT, IFFT, HPF, LPF


Citation of this Article

Shashank Rawat, Sumi Sekhar, Alwin Varghese, “Real Time Data Acquisition Using Portable ECG Equipment” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 11, pp 10-14, November 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.511003

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
References
  1. A.Malik and R. K. Sharma,” Detection of heart conditions using HRV processor in Matlab Simulink,” 2017 International Conference on Trends in Electronics and Informatics (ICEI), Tirunelveli, 2017, pp. 861-864, doi: 10.1109/I- COEI.2017. 8300827.
  2. J. L. A. de Carvalho, A. F. da Rocha, F. A. de Oliveira Nascimento, J. S. Neto andL. F. Junqueira,” Development of a Matlab software for analysis of heart rate variability,” 6th International Conference on Signal Processing, 2002., Beijing, China, 2002, pp.14881491vol.2, doi:10.1109/ICOSP.2002.1180076
  3. Chandra Mukherjee, et al. “An analytical Evaluation of Heart Rate Variability and Its’ Implication,” In International conference for Strengthen Education in Engineering and Research (STEER-14), 2014.
  4. J. L. A. Carvalho,” A Tool for Time-Frequency Analysis of Heart Rate Variability”, IEEE EMBS, vol. 25, pp. 17-21, 2003.
  5. Dipali Bansal, Munna Khan, A. K. Salhan,” AReview of Measurement and Analysis of Heart Rate Variability”, IEEE ICCAE, pp. 243-246, 2009.
  6. S. Y. Tseng, and W.C. Fang, “An EKG system-on-chip for portable time-frequency HRV analysis,” in IEEE International Conference on Consumer Electronics (ICCE), 2011, pp. 559-560.
  7. Y.H. Hsu, C.L. Lin, et al., “Health care platform based on acquisition of ECG for HRV analysis,” In 10th IEEE International Conference on Industrial Informatics (INDIN),2012, pp. 464-469.
  8. P. G. Patel et al., “ECG Analysis and Detection of Arrhythmia Using MATLAB,” Journal of Innovative Research and Development, Vol 11, no. 1, pp. 59-68, 2012
  9. Papathanassiou G, et al., “Effects of smoking on heart rate at rest and during exercise, and on heart rate recovery in young adults,” Hellenic J Cardiol, Vol 54, no. 3, pp. 168-177, 2013.
  10. Reza Sameni, Mohammad B. Shamsollahi,” A Nonlinear Bayesian Filtering Framework for ECG Denoising” IEEE Transactions on Biomedical Engineering, Volume: 54, Issue: 12, Dec. 2007.
  11. MATLAB, The Language of Technical Computing, The Math works.
  12. R.S.Khandpur, Handbook of Biomedical Instrumentation.
  13. Leslie Cromwell, Biomedical Instrumentation and Measurements, Prentice Hall of India.

Copyright @ 2026 IRJIET. All Right Reserved.

Licensed underCreative Commons Attribution 4.0 International License.