E.V. Sadykova1, M.A. Tanasyeva2

1, 2 St. Petersburg Electrotechnical University “LETI” (St. Petersburg, Russia)
1 elensadykova@yandex.ru, 2 tanaseva.masha@mail.ru

With the advancement of digital technologies in medicine, the development of intelligent decision support systems has become a key area of research. One of the persistent challenges in this domain is accurate disease diagnosis, especially under the influence of dynamic external factors such as stress. In epilepsy, stress can act as a significant trigger, exacerbating seizures and distorting the clinical picture, thereby complicating the objective evaluation of the patient’s condition.

This study aims to develop a system for assessing the impact of stress on the likelihood of epileptic seizures through the analysis of physiological biomarkers. The proposed solution is designed to provide epileptologists with real-time diagnostic insights into the patient’s condition.

The research includes a scientific rationale for the relationship between stress and physiological indicators, particularly those associated with seizure activity. A formalized decision support framework has been developed, incorporating the Hurwicz criterion as a tool for evaluating patient symptoms under uncertainty in diagnostic decision-making. The practical significance of the proposed system lies in its ability to enhance diagnostic accuracy and speed. By offering real-time analysis of stress-related physiological data and suggesting likely diagnoses, the system supports clinicians in making more informed decisions, ultimately improving patient outcomes.

Sadykova E.V., Tanasyeva M.A. A system for assessing the impact of stress on the physiological state of a patient with epileptic seizures. Biomedicine Radioengineering. 2025. V. 28. № 5. P. 74–79. DOI: https:// doi.org/10.18127/j15604136-202505-15 (In Russian)

1. Sadykova E.V., Tanas'eva M.A. Metod i sistema ocenki stimulyacii bluzhdayushchego nerva pri nastuplenii epilepticheskogo pristupa. Biomedicinskaya radioelektronika. 2024. T. 27. № 2. S. 80−87. DOI: https://doi.org/10.18127/j15604136-202402-11 (In Russian).
2. Sadykova E.V., Tanas'eva M.A. Modeli informacionnogo obespecheniya biotekhnicheskoj sistemy diagnostiki i lecheniya bol'nyh epilepsiej. Biotekhnosfera. 2022. S. 69–75. DOI: 10.25960/bts.2021.1.69 (In Russian).
3. Amin S. Hypoglycemia as a trigger of seizures in patients with epilepsy: A review. Epilepsia. 2013. V. 54(3). P. 512–518.
4. Berg A. T. et al. Hypoglycemia and seizures in epilepsy. Epilepsy & Behavior. 2006. V. 8(2). P. 276–281.
5. Blaisdell S. Diabetic ketoacidosis and its effect on seizure risk. Diabetes Care. 2016. V. 39(5). P. 845–850.
6. Yip M.S. et al. Hypoxemia during generalized tonic-clonic seizures and the risk of status epilepticus. Seizure. 2012. V. 21(7). P. 567–572.
7. Pohlmann-Eden, B. et al. Seizures and hypoxia: Implications for clinical management. Epilepsy & Behavior. 2007. V. 10(4). P. 617–623.
8. Papageorgiou M. et al. Status epilepticus and respiratory distress: Management and monitoring. Epilepsia. 2006. V. 47(9). P. 1612–1618.
9. Mula M., Sander J. W. The role of stress in epilepsy: a review of the literature. Epilepsy & Behavior. 2007. V. 10(2). P. 117–125.
10. Téllez-Zenteno J. F., Hernández-Ronquillo L. The Epidemiology of Epilepsy and Seizures in the Elderly: A Review. Journal of Clinical Neurology. 2016. V. 12(4). P. 276–285.
11. McAfoose J., Baune B.T. Evidence for a neuroimmune axis of depression. Neuropsychiatric Disease and Treatment. 2009. V. 5(5). P. 335–346.
12. Sadykova E.V., Tanas'eva M.A., Kalinichenko A.N. Kriterij Gurvica dlya diagnostiki sindromov zabolevanij shchitovidnoj zhelezy. Biomedicinskaya radioelektronika. 2025. T. 28. № 2. S. 20–25. DOI 10.18127/j15604136-202502-03. EDN TQCVIL (In Russian).
13. Sadykova E.V., Tanas'eva M.A. Koefficienty kriteriya Gurvica v zadache diagnostiki zabolevanij. 80-ya Nauch.-tekhn. konf. Sankt-Peterburgskogo NTO RES im. A.S. Popova, posvyashchennaya Dnyu radio: Sb. dokladov [Elektronnyj resurs]. SPbGETU «LETI». Sankt-Peterburg. 2025. 475 s. URL: https://conf-ntores.etu.ru/2025/ru/sbornik-dokladov/ (In Russian).