Customization of the Physiological Parameter Assessment Using Fuzzy Logic

Authors

  • Felisberto David Wandi Chivela Óbuda University, Doctoral School of Applied Informatics and Applied Mathematics, Budapest, Hungary
  • Zoltán Papp University of Novi Sad, Hungarian Language Teacher Training Faculty, Subotica
  • Edit Laufer Óbuda University, Bánki Donát Faculty of Mechanical and Safety Engineering, Budapest

Keywords:

fuzzy logic, risk assessment, sports activity, patient monitoring, membership functions, statistical evaluation., fuzzy logic, risk assessment, sports activity, patient monitoring, membership function, statistical evaluation

Abstract

Effective health monitoring is vital for individuals engaged in sports and physical activities due to the diverse physiological responses exhibited by each participant. Traditional methods often fail to address the complexity of individual health profiles, highlighting the necessity for personalized assessment methods. In this paper, a hierarchical fuzzy model is presented, which is intended to assess the risk level of the current physical activity. In order to personalize the evaluation statistics-based approach was used to tune the membership functions. The model presented provides both numerical and linguistic assessments of risk, demonstrating consistent trends between improved membership functions and medical recommendations. Extensions for future work are also included.

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Published

2024-10-25

Issue

Vol. 6 No. 2 (2024): Bánki Közlemények/Bánki Reports Autumn (2024)

Section

Technical Informatics (Műszaki Informatika)

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