Automatic and intuitive electrocardiography monitoring system using Arduino

Roberto Franchini

Abstract


The proliferation and popularity of open source hardware and software, such as Arduino and Raspberry PI, together with IoT and Embedded System are rapidly revolutionizing the healthcare sector with new technologies. In this article, I proposed an intuitive and low-cost automatic portable electrocardiogram (ECG). The system receives the input pulse using 3 Ag / Cl electrodes placed on the arms and on the right leg of the patient. The signal is then processed by the Arduino Uno microcontroller to control and transmit the function of the ECG wave to be monitored. To calculate and show the results, I implemented a QRS real-time detection algorithm designed for the Arduino platform based on the Pan-Tompkins algorithm, which automatically calculates the main cardiac parameters and compares the values obtained with normal intervals. If an abnormal parameter is present, it is highlighted. The results obtained by the device were tested by comparing them with those obtained from a traditional ECG used in clinical practice on 50 people, in conditions of rest and subactivity. The values of beats per minute (BPM), waveform and ECG parameters were identical. The future goal is to develop a most mobile and wearable system making an automatic remote assistance system.

 


Full Text:

PDF

References


WHO “Cardiovascular disease”, https://www.who.int/cardiovascular_diseases/about_cvd/en/

E. Braunwald(Editor), “Heart Disease: A Textbook of Cardiovascular Medicine”, Fifth Edition, p. 108, Philadelphia, W.B. Saunders Co., 1997. ISBN 0-7216-5666-8.

M. G. Naazneen, S. Fathima, S. H. Mohammadi, S. I. L. Indikar, A. Saleem, M. Jebran "Design and Implementation of ECG Monitoring and Heart Rate Measurement System”, IJARSE Vol. 2, Issue 3, May 2013; pp. 2319-5967

R. D. Anderson, S. Kumar, R. Parameswaran, G. Wong, A. Voskoboinik, H. Sugumar, T. Watts, P. B. Sparks, J. B. Morton, A. McLellan, P. M. Kistler, J. Kalman, G. Lee “Differentiating Right- and Left-Sided Outflow Tract Ventricular Arrhythmias”, Circ Arrhythm Electrophysiol. Vol 16, Issue 6, Jun. 2019

S. Israr, A. D. Cook, K. M. Chapple, J. V. Jacobs, K. P. McGeever, B. R. Tiffany, S. P. Schultz, S. R. Petersen, J. A. Weinberg, “Pulseless electrical activity following traumatic cardiac arrest: Sign of life or death”, Injury, May 2019 pp. 30321-30323

A. Mishra, B.Chakraborty,” AD8232 based Smart Healthcare System using Internet of Things (IoT)”, IJERT ,Vol. 7 Issue 04, Apr. 2018

M.Shokoueinejad, M.Chiang, S.Lines, F.Wang, W.Tompkins, J.G. Webster “ Systematic Design and HRV Analysis of a Portable ECG System Using Arduino and LabVIEW for Biomedical Engineering Training”, IJEEE Vol 5, Issue 5, Oct. 2017; pp. 301-311

K.Bhimasen, P.Pranjal, K.Parbej, B.Vinay, “Design and Implementation of Low Cost ECG Monitoring System and Analysis using Smart”, IJARSET, Vol. 6 Issue 5, May 2018; pp. 1025-1029

R.Harini, B.Rama Murthy, K.Tanveer Alam "Development of ECG monitoring system using Android app", IJEEE Vol 9, Isuee 01, Jun. 2017; pp. 699-707

U.Satija, Member, IEEE, B.Ramkumar, M.Sabarimalai Manikandan, Member, IEEE ,"Real-Time Signal Quality-Aware ECG Telemetry System for IoT-Based Health Care Monitoring", IEEE INTERNET OF THINGS JOURNAL, Vol. 4, Isuee. 3, Jun. 2017; pp.815-823

M. E. H. Chowdhury, K. Alzoubi, A. Khandakar, R. Khallifa, R. Abouhasera, S. Koubaa, R. Ahmed, M. A. Hasan, “Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents” , Sensors (Basel) Vol 19 Issue 12, Jun. 2019

G. Gimenez, J. Guixeres, F.J. Villaescusa, J. Saiz J, S. Merce, R. Rodriguez, “A new system for integral community cardiac rehebilitation based on technological platforms for the lifestyle change supporting sstem,” ISSN. Computers in Cardiology, pp. 845-848, 2006

J. Oster, J. Behar, O. Sayadi, et al. “Semisupervised ecg ventricular beat classification with novelty detection based on switching kalman filters”, IEEE Trans Biomed Eng. Vol. 62, 2015; pp.2125–2134

J.G. Webster, “Medical instrumentation application and design”, 4th Ed. John wiley&sons, Inc.NewJersey, 2009.

F.J. Martinez-Tabares, Y.J. Costa-Salas, D. Cuesta-Frau, et al. “Multiobjective design of wearable sensor systems for electrocardiogram monitoring”, J Sensors. Vol 4, 2016; 15 pages

A. Ankhili, X. Tao, C. Cochrane, V. Koncar, D. Coulon, J. M. Tarlet “Comparative Study on Conductive Knitted Fabric Electrodes for Long-Term Electrocardiography Monitoring: Silver-Plated and PEDOT:PSS Coated Fabrics”, Sensors (Basel). Vol. 18, Issue 11, Nov. 2018

S. Das, S. Pal, M. Mitra “Arduino-based noise robust online heart-rate detection”, J Med Eng Technol. Vol. 41, Issue 3, Apr. 2017; pp.170-178.

M.F. Xu, S. S. Wei, X.W. Qin, et al. “Rule-based method for morphological classification of ST segment in ECG signals”, J Med Biol Eng. Vol 35, 2015; pp.816–823]

T. Tabassum, M. Islam, “An approach of cardiac disease prediction by analyzing ECG signal”, 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), Mar. 2017

L. Liu, L. He, Y. Zhang, T. Hua, “A Battery-less Portable ECG Monitoring System with Wired Audio Transmission “, IEEE Trans Biomed Circuits Syst; Jun. 2019

N. Yaakob, I. Khalil “A novel congestion avoidance technique for simultaneous real-time medical data transmission”, IEEE J Biomed Health Inform. Vol. 20, 2016; pp.669–681

Oyebola Blessed Olalekan “Automated Home Security System: A Review” , MAYFEB Journal of Electrical and Computer Engineering Vol 1, 2016; pp. 7-16


Refbacks

  • There are currently no refbacks.


MAYFEB Journal of Electrical and Computer Engineering
MAYFEB TECHNOLOGY DEVELOPMENT
Toronto, Ontario, Canada