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Mobile ECG and SPO2 Chest Pain Subjective Indicators of Patient with GPS Location in Smart Cities

Author

Listed:
  • Damir Sostaric

    (Obuda University, Doctoral School of Safety and Security Sciences, Budapest, Hungary)

  • Gyula Mester

    (Obuda University, Doctoral School of Safety and Security Sciences, Budapest, Hungary)

  • Sanja Dorner

    (Josip Juraj Strossmayer University of Osijek - Faculty of Medicine, Osijek, Croatia)

Abstract

Subjective indicators of chest pain in this article describe a system based on devices for measuring ECG (Electrocardiogram) and SPO2 (Saturation of peripheral Oxygen) signals with PPG (Photoplethysmograph). The development system used for ECG detection signals is created in the SMT technology technique. Preparing for ECG (Electrocardiogram) signal analysis is realized on the coordinator side of the WSN (Wireless Sensor Network) node and LabView application interface. Existing model RPC-50E, as SPO2 detector is used for a measurement device. SPO2 performance upgrade was realized by installing hardware module XBee PRO S2B in the function of router-end device working mode. Except for ZigBee wireless transmission technology, it leaves a possibility to expand with Bluetooth module. The technical description is strictly related to the location of the patients using the GPS signal when it comes to undesirable measuring sizes of each decentralized measuring device. Possibilities to measure beats per second (bps) is also included in the measurement device for saturation of peripheral oxygen. Smart city integration is part of upgraded hardware which operates on the level of hospital cloud. With existing smart city infrastructure, it is easier to connect mobile IoT (Internet of Things) logger of ECG and SPO2 measurements. This article describes only the main reasons for chest pain. Acute and chronic chest pain is defined with ECG signal waveforms in certain cases. Measuring graphs are based on 12 measurement points that lead to the electrocardiogram device.

Suggested Citation

  • Damir Sostaric & Gyula Mester & Sanja Dorner, 2019. "Mobile ECG and SPO2 Chest Pain Subjective Indicators of Patient with GPS Location in Smart Cities," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(3-B), pages 629-639.
    • Handle: RePEc:zna:indecs:v:17:y:2019:i:3-b:p:629-639
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    References listed on IDEAS

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    1. Jack P. C. Kleijnen, 2015. "Response Surface Methodology," International Series in Operations Research & Management Science, in: Michael C Fu (ed.), Handbook of Simulation Optimization, edition 127, chapter 0, pages 81-104, Springer.
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    More about this item

    Keywords

    mobile ECG SPO2; chest pain; WSN; GPS; smart cities;
    All these keywords.

    JEL classification:

    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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