An Internet of Things (IoT) Application for Standard Clinical ECG’s Monitoring in Real Time Application

  • Authors

    • Sugondo Hadiyoso
    • Achmad Rizal
    • Akhmad Alfaruq
    https://doi.org/10.14419/ijet.v8i1.9.26668
  • IoT, ECG, cloud, internet, web
  • Real-time monitoring application of vital body signals gets particular attention in medical research, no exception to the use of IOT applications. The focus of this paper is the acquisition of 12 lead ECG signals from the patient's body and then sending data to the cloud and widely accessible through the Internet instantly. In the measurements process, the device at the patient's side is connected to the receiver application through the Internet by accessing the web server address. At that moment, the data ECG signal is sent to be displayed on the application side. Graph of ECG signals appears on web pages live and continue until the end of the measurement. Medical record system is also applied to this system. By monitoring the ECG signal from the ECG standard instruments can help diagnose heart health in detail. Medical experts can determine the heart conditions and can provide treatment as soon as possible.

     

     

  • References

    1. [1] Chiu, R.D., & Wu, S.H. (2011). A BAN System for Realtime ECG Monitoring: from Wired to Wireless Measurements. IEEE WCNC 2011-Service and Application, (pp 2107-2112). IEEE

      [2] Gupta, P., Agrawal, D., Chhabra, J., & Dhir, P.K. (2016). IoT based Smart HealthCare Kit. In International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT) 2016, (pp. 237-242). IEEE

      [3] Hadiyoso, S., Julian. M., Rizal, A., & Aulia, S. (2015). Pengembangan Perangkat EKG 12 Lead dan Aplikasi Client-Server untuk Distribusi Data. Jurnal Elkomika, 3(2), 91-105.

      [4] IERC — European Research Cluster on the Internet of Things, (2011) Internet of Things —Pan European Research and Innovation Vision, Retrieved June 2016, from http://www.internet-of-things-research.eu/pdf/IERC_IoT-PanEuropean

      [5] ResearchandInnovationVision_2011_web.pdf

      [6] Krishnamurthy, R., Sastry, A. & Balakrishnan, B. (2016). How the Internet of Things Is Transforming Medical Devices. Cognizant 20-20 Insights, USA.

      [7] Nurdin, M.R.F., Hadiyoso, S., & Rizal, A. (2016). A Low-Cost Internet of Things (IoT) System for Multi-Patient ECG’s Monitoring. In 2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC), (pp. 7-11). IEEE

      [8] Rizal, A., & Hadiyoso, S. (2015). ECG Signal Classification Using Hjorth Descriptor. In International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology (ICACOMIT) 2015, (pp 3–6). IEEE

      [9] Santucci, G (2010). The Internet of Things: Between the Revolution of the Internet and the Metamorphosis of Objects. in Sundmaeker, H., Gillemin, P., Friess, P and Woelffle, S. (Eds). Vision and challenges for realizing the internet of things (p. 11–24), CERP-IoT - Cluster of European Research Projects on the Internet of Things.

      [10] Spanò, E., Di Pascoli, S., & Iannaccone, G. (2016). Low Power Wearable ECG Monitoring System for Multiple-Patient Remote Monitoring. IEEE Sensors Journal, 16(13), 5452-5462.

      [11] Sung, W.T., Chen, J.H., Huang, D.C., & Ju, Y.H. (2014). Multisensors Realtime Data Fusion Optimization for IOT Systems. In IEEE International Conference on Systems, Man, and Cybernetics (pp 2299-2304). IEEE

      [12] Tompkins, W.J. (1993). Biomedical Signal Processing. New Jersey: Prentice Hall.

      [13] Vermesan, O., Friess, P., Guillemin, P., Sundmaeker, H., Eisenhauer, M., Moessner, K., Le Gall, F., & Cousin, P. (2013). Internet of Things Strategic Research and Innovation Agenda. In Vermesan, O., & Friess, P. (Eds) Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems Denmark: River Publishers.

  • Downloads

  • How to Cite

    Hadiyoso, S., Rizal, A., & Alfaruq, A. (2019). An Internet of Things (IoT) Application for Standard Clinical ECG’s Monitoring in Real Time Application. International Journal of Engineering & Technology, 8(1.9), 274-278. https://doi.org/10.14419/ijet.v8i1.9.26668