3D PRINTED HOLTER ELECTROCARDIOGRAM (ECG)

Year 2022, , 429 - 437, 31.12.2022

Pınar Demircioğlu , İsmail Böğrekci , Şerife Cansu Uymaz

https://doi.org/10.46519/ij3dptdi.1130004

Abstract

This study was aimed to design a low cost and ergonomic Holter Electrocardiogram (ECG) that allows remote monitoring of patients who need to be followed up by a doctor with the Covid19 pandemic period, sends SMS to the doctor or relatives of the patient in risky situations, and recordes and stores patient data. In this study, a 55x84 mm PCB electronic circuit was designed. Signals received from the patient through the electrodes are detected with the help of the AD8232 ECG sensor and transmitted to the ESP32, which is the processor of the system, and an SMS is sent to the doctor or relatives of the patient in risky situations, thanks to the UG96 GSM module. In addition, thanks to the wifi feature of the UG96 GSM module, the ECG data recorded in risky situations is stored in the ubidots. The doctor can access the patient's ECG data via ubidots.

Keywords

Holter ECG, Covid19, Remote monitoring.

References

• 1. World Health Organization, “The top 10 causes of death”, https://www.who.int/news-room/ fact-sheets/detail/the-top-10-causes-of-death, September 15, 2021.
• 2. Uymaz, S.C., “Development of Holter ECG”, Unpublished M.Sc. Thesis, 2022-M.Sc.-032, Aydın Adnan Menderes University, Turkey, 2022.
• 3. Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., Xia, J., Yu, T., Zhang, X., Zhang, L., “Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study”, Lancet, Issue 395(10223), Pages 507-513, 2020. doi: 10.1016/S0140-6736(20)30211-7.
• 4. Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., “Clinical features of patients infected with 2019 novel Coronavirus in Wuhan, China”, Lancet, Issue 395, Pages 497-506, 2020.
• 5. Wang, D., Hu, B., Hu, C., “Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China”, JAMA, Volume 323(11), Pages 1061–1069, 2020. doi:10.1001/jama.2020.1585
• 6. Long, B., Brady, W.J., Koyfman, A., Gottlieb, M., “Cardiovascular complications in COVID-19”, The American Journal of Emergency Medicine, Issue 38, Pages 1504-1507, 2020.
• 7. Kochi, A.N., Tagliari, A.P,, Forleo, G.B., Fassini, G.M., Tondo, C., “Cardiac and arrhythmic complications in patients with COVID19”, Journal of Cardiovascular Electrophysiology, Vol. 31, Issue 5, Pages 1003-1008, 2020.
• 8. Einstein, A.J., Shaw, L.J., Hirschfeld, C., Williams, M.C., Villines, T.C., Better, N., Vitola, J.V., Cerci, R., Dorbala, S., Raggi, P., Choi, A.D., Lu, B., Sinitsyn, V., Sergienko, V., Kudo, T., Nørgaard, B.L., Maurovich-Horvat, P., Campisi, R., Milan, E., Louw, L., Allam, A.H., Bhatia, M., Malkovskiy, E., Goebel, B., Cohen, Y., Randazzo, M., Narula, J., Pascual, T.N.B., Pynda, Y., Dondi, M., Paez, D., The INCAPS COVID Investigators Group. International Impact of COVID-19 on the Diagnosis of Heart Disease, J Am Coll Cardiol, Vol. 77, Issue 2, Pages 173-185, 2021. doi: 10.1016/j.jacc.2020.10.054.
• 9. Erbil, N., “Software development for remote control heart device”, Master's Thesis, Selcuk University Institute of Science and Technology, Konya, 2007.
• 10. Yazgan, E., Korurek, M., “Medical Electronics”, ITU Printing Workshop, Istanbul, 1995.
• 11. Alptekin, O., “Detection of some heart diseases by analysis of ECG signals”, Master's Thesis, Istanbul University Institute of Science and Technology, Istanbul, 2020.
• 12. Guyton, A.C. ve Hall J.E. 2007. Textbook of Medical Phsiology, Elsevier Inc., Pennsylvania, 103-129.
• 13. Can, S., “Transmission of ECG sign via mobile phone”, Master Thesis, Gazi University, Ankara, 2010.
• 14. Babu, M., Raju, R., R., Sylvester, S., Mathew, T. M., Abubeker, K. M., “Real time patient monitoring system using LabVIEW parameters”, International Journal of Advanced Research in Computer and Communication Engineering, Issue 5, Pages 505-507, 2016.
• 15. Wu, M. J., Shieh, S. F., Liao, Y. L., Chen, Y. C., “ECG measurement system based on arduino and android devices proceedings”, 2016 International Symposium on Computer, Consumer and Control, Pages 690-693, 2016.
• 16. De Lucena, S. E., Sampaio, D. J., Mall, B., Meyer, M., Burkart, M. A. and Keller, F. V., “ECG monitoring using android mobile phone and bluetooth, proceedings”, IEEE International Instrumentation and Measurement Technology Conference, Pages 1976-1980, 2015.
• 17. Aktas, F., Ceken, C., Erdemli, Y. E., “Transfer of physiological signals with quality of service support using wireless body area networks”, Medical Technologies National Congress, Mugla, Pages 529-532, 2015.
• 18. Bas, S., “A patient monitoring system proposal using personal area networks and wearable computers”, Master Thesis, Ege University, Izmir, 2011.