Abstract
The development of telecommunication technologies and artificial intelligence has led to a significant change in the healthcare trends. A strong example of innovative healthcare provision is the so-called telerehabilitation (TR), which is part of the rapidly evolving field of telemedicine. In the present paper we propose a reduced GN-model representing a real time patient/therapist interaction via video-conferencing platform. The model allows different treatment behavior depending on the disease. The model describes a telerehabilitation protocol and algorithm for choosing the best rehabilitation treatment based on the patient dysfunctions and the possible outcomes.
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Acknowledgements
The authors are grateful for the support provided by the University “Prof. Dr. Asen Zlatarov”- Burgas, Scientific research sector “Scientific and artistic activity” approved by № HИX - 442/2020 “Exploring the possibilities of telemedicine, telerehabilitation and telepharmacy to improve patient care and medical education”.
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Ribagin, S., Grozeva, A., Popova, G. (2022). Generalized Net Model of Telerehabilitation Program for Patients with Socially Significant Diseases. In: Sotirov, S.S., Pencheva, T., Kacprzyk, J., Atanassov, K.T., Sotirova, E., Staneva, G. (eds) Contemporary Methods in Bioinformatics and Biomedicine and Their Applications. BioInfoMed 2020. Lecture Notes in Networks and Systems, vol 374. Springer, Cham. https://doi.org/10.1007/978-3-030-96638-6_10
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DOI: https://doi.org/10.1007/978-3-030-96638-6_10
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