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Generalized Net Model of Rehabilitation Algorithm for Patients with Proximal Humeral Fracture After Surgical Treatment

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Recent Contributions to Bioinformatics and Biomedical Sciences and Engineering (BioInfoMed 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 658))

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Abstract

The purpose of the present paper is to present an example of Generalized Nets application in orthopedics and traumatology rehabilitation. The model describes a possible algorithm protocol for rehabilitation treatment of patients with fracture of the proximal humerus and the different transitions of the model are representing respectively the different parts of the rehabilitation process. The proposed model can be implemented in the decision making support systems, telerehabilitation platforms, optimization of the physiotherapy protocols for proximal humeral fractures rehabilitation based on current ‘good practices’ and better rehabilitation strategies.

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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 № NIH - 475/2022 “Generalized nets models in orthopedic and traumatology rehabilitation”.

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Authors and Affiliations

  1. Department of Bioinformatics and Mathematical Modelling Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Simeon Ribagin

  2. Department of Health and Pharmaceutical Care, Medical College, University “Prof. D-r Asen Zlatarov”, Burgas, Bulgaria

    Simeon Ribagin & Antoaneta Grozeva

  3. University Hospital Burgas, Burgas, Bulgaria

    Stoyan Hristov

Authors
  1. Simeon Ribagin
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  2. Antoaneta Grozeva
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  3. Stoyan Hristov
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Corresponding author

Correspondence to Simeon Ribagin .

Editor information

Editors and Affiliations

  1. Faculty of Technical Sciences, “Prof. Assen Zlatarov” University, Bourgas, Bulgaria

    Sotir Sotirov

  2. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Tania Pencheva

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  4. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Krassimir T. Atanassov

  5. Faculty of Technical Sciences, “Prof. Assen Zlatarov” University, Bourgas, Bulgaria

    Evdokia Sotirova

  6. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Simeon Ribagin

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Ribagin, S., Grozeva, A., Hristov, S. (2023). Generalized Net Model of Rehabilitation Algorithm for Patients with Proximal Humeral Fracture After Surgical Treatment. In: Sotirov, S., Pencheva, T., Kacprzyk, J., Atanassov, K.T., Sotirova, E., Ribagin, S. (eds) Recent Contributions to Bioinformatics and Biomedical Sciences and Engineering. BioInfoMed 2022. Lecture Notes in Networks and Systems, vol 658. Springer, Cham. https://doi.org/10.1007/978-3-031-31069-0_22

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  • DOI: https://doi.org/10.1007/978-3-031-31069-0_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-31068-3

  • Online ISBN: 978-3-031-31069-0

  • eBook Packages: EngineeringEngineering (R0)

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