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A System of Stress Determination Based on Biomedical Indicators

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Advances in Computer Science for Engineering and Education VI (ICCSEEA 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 181))

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Abstract

This paper investigated methods of determining stress in humans and developed of smart service system in medicine to automate this process. This paper evaluates existing research in this area. We conducted a study of the method of determining stress levels based on biomedical indicators. Also, we have developed a system that is relevant for use in many different areas. For example, such a system is convenient to use in office firms to prevent overexertion of workers, to prevent emergencies in jobs with a high level of human impact, where human life is endangered, and also for daily use in health care. The smart service system works with input data based on heart rate variability indices. Neural network training has been launched in 100 epochs. In each epoch, the results of accuracy and loss were recorded. Also, for better reliability of the results, we recorded the data obtained not only from training data but also from variation data. As a result, the classification problem is solved. We get 99% accuracy.

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Author information

Authors and Affiliations

  1. Rtificial Intelligence Department, Lviv Polytechnic National University, Lviv, 79013, Ukraine

    Lesia Hentosh & Vitalii Savchyn

  2. National Technical University Kharkiv Polytechnic Institute, Kharkiv, 61002, Ukraine

    Oleksandr Kravchenko

Authors
  1. Lesia Hentosh
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  2. Vitalii Savchyn
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  3. Oleksandr Kravchenko
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Corresponding author

Correspondence to Lesia Hentosh .

Editor information

Editors and Affiliations

  1. Faculty of Applied Mathematics, National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”, Ukraine, Kyiv, Ukraine

    Zhengbing Hu

  2. Faculty of Applied Mathematics, National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”, Ukraine, Kyiv, Ukraine

    Ivan Dychka

  3. Halmos College of Arts and Sciences, Nova Southeastern University, Fort Lauderdale, FL, USA

    Matthew He

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Hentosh, L., Savchyn, V., Kravchenko, O. (2023). A System of Stress Determination Based on Biomedical Indicators. In: Hu, Z., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education VI. ICCSEEA 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-031-36118-0_58

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