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DOI: https://doi.org/10.31071/kit2020.16.15 Inventory reference ISSN 1812-7231 Klin.inform.telemed. Volume 15, Issue 16, 2020, Pages 35-44 Author(s) A. V. Palagin1, T.V. Semikopnaya1, I. A. Chaikovsky1, O. V. Sivak2 Institution(s) 1V. M. Glushkov Institute of Cybernetics of NAS of Ukraine, Kyiv 2Center for psychological counseling and trauma therapy "Open Doors", Kyiv, Ukraine Article title Telerehabilitation: information and technological support, experience of application Abstract (resume) Introduction. Telerehabilitation is a complex of rehabilitation exercises and training programs provided to the patient remotely using telecommunication computer technologies, mainly at the outpatient stage of treatment. Telerehabilitation must be accompanied by appropriate software. The purpose of the work. To give an idea of the high-tech platform for telerehabilitation, which is being created at the Institute of Cybernetics named after V. M. Glushkov National Academy of Sciences of Ukraine. Methods. Work is being carried out under a project of the National Research Foundation of Ukraine, which is called "Transdisciplinary Intelligent Information and Analytical System for Supporting Rehabilitation Processes in a Pandemic (TISP)". The peculiarity of the system is that it is based on knowledge-oriented technology, ontological engineering and trans-disciplinary paradigm. The cognitive services of the system implement structuring. and classification. information, synthesize the necessary documents based on semantic analysis, identify the characteristic properties of information processes and provide support for decision-making at all stages of their life cycle. Results. The absence of specialized scales for functional assessment of the cardiorespiratory system, suitable for use during telerehabilitation, was revealed. The proposed technology of objective functional assessment of the patient at home, based on the use of several portable devices and an innovative system for scaling small ECG changes. The technology was tested in the process of rehabilitation of patients with PTSD in the Center for Psychological Counseling and Trauma Therapy "Open Doors" as a means of control in the process of psychodiagnostics and psychotherapy. Conclusion. 1. Telerehabilitation is the most modern type of rehabilitation, which is rapidly developing. 2. The V. M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine is creating a transdisciplinary intelligent information and analytical system for supporting rehabilitation processes in a pandemic (TISP), based on cognitive information technology, which fully provides the process of analyzing large volumes of information resources. 3. The technology of objective functional assessment of a patient at home, based on the use of portable devices and an original ECG scaling system, is an important component of telerehabilitation. Keywords Telerehabilitation, Novel coronavirus disease COVID-19, Post-traumatic stress disorder, Intelligent information and analytical system, Functional assessment, Scaling of the electrocardiogram and heart rate variability References 1. Law of Ukraine "On Rehabilitation in the Field of Health Care" dated 03.12.2020, №1053-IX, 28 с. Access mode: https://zakon.rada.gov.ua/laws/show/1053-20#Text 2. Chen J., Jin W., Zhang X. X. et al. Telerehabilitation Approaches for Stroke Patients: Systematic Review and Meta-analysis of Randomized Controlled Trials. J. Stroke. Cerebrovasc. Dis., 2015, vol. 24, iss. 12, pp. 2660–2668. 3. Chang M. C., Park D. How should rehabilitative departments of hospitals prepare for coronavirus disease 2019?, Am. J. Phys. Med. Rehabil., 2020, vol. 99, iss. 6, pp. 475–476. 4. Zhao H., Shen D., Zhou H., Liu J., Chen S. Guillain-Barré syndrome associated with SARS-CoV-2 infection: causality or coincidence?, Lancet Neurol., 2020 May; vol. 19, iss. 5, pp. 383–384. 5. Vasilopoulou M., Papaioannou A. I., Kaltsakas G., Louvaris Z., et al. Home-based maintenance tele-rehabilitation reduces the risk for acute exacerbations of COPD, hospitalisations and emergency department visits. Eur Respir J., 2017, vol. 49, iss. 5, 1602129. 6. Palagin A. V. Ontological concept of informatization of scientific research. Kibernetika i sistemnyy analiz [Cybernetics and Systems Analysis], 2016, vol. 52, no. 1. pp. 3–9. (In Russ.). 7. Palagin A. V. Functional Oriented Approach to Research Design. Kibernetika i sistemnyy analiz [Cybernetics and Systems Analysis],. 2017, vol. 53, № 6. pp. 185–192. (In Russ.). 8. Rehabilitation measures database. Access mode: www.sralab.org/rehabilitation-measures 9. Colan S. D. The Way and How of Z-Scores. JASE, 2013; vol. 26, iss. 1, pp. 38–40. 10. Chaikovsky I. Electrocardiogram scoring beyond the routine analysis: subtle changes matters Expert Review of Medical Devices, 2020, vol. 17, iss. 5, pp. 379–382. 11. Chaikovsky I., Kryvova O., Kazmirchuk A. et al., Assessment of the Post-Traumatic Damage of Myocardium in Patients with Combat Trauma Using a Data Mining Analysis of an Electrocardiogram. 2019 Signal Processing Symposium (SPSympo), Krakow, Poland, 2019, pp. 34–38. 12. Neary J. P., Baker T., Jamnik V. Chaikovsky I. at al. Multimodal Approach to Cardiac Screening of Elite Ice Hockey Players During the NHL Scouting Combine. Medicine & Science in Sports & Exercise, 2014, vol. 46, iss. 55, p. 742. 13. Chaikovsky I., Lebedev E., Ponomarev V., Necheporuk A. The relationship between ECG/HRV variables and socio-economic factors: results of mass screening in the rural region of Ukraine, Europ. J. Preventive Cardiology, 2020, vol. 27, iss. 1_suppl, 1, pp. S1–S119, abstract 92. 14. Clarke R., Chaikovsky I., Wright N., at al. Independent relevance of left ventricular hypertrophy for risk of ischaemic heart disease in 25,000 adults. European Heart J., 2020, vol. 41, Iss. Suppl_2, ehaa946.2938. Full-text version http://kit-journal.com.ua/en/viewer_en.html?doc/2020_16/015.pdf |
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