Customization of the Physiological Parameter Assessment Using Fuzzy Logic

Abstract

Effectivehealth monitoring is very importantfor individuals engaged in sports and physical activities due to the diverse physiological responses exhibited by each participant. Traditional methods often fail to deal withthe 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 wasused 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.