A personal profile based patient-specific anytime risk calculation model

Nowadays, the significance of model based health monitoring systems has grown. In this paper, an improved realtime sport activity risk calculation model is introduced. The new approach is based on the previously reported anytime hierarchical fuzzy risk calculation model of the authors which is able to handle some uncertainties, imprecision, and subjectivity in the data and in the evaluation process and can cope with the dynamically changing environment, available time, and resources. The new model is extended with further patient-specific features like tuned membership functions applied during the evaluation and data recorded during previous measurements. Furthermore, the authors propose a new pre-processing procedure as well, which allows comparing the currently measured values to the stored data recorded under the same conditions. By this, the person-dependent characteristics and the unavoidable changing of the dynamic reactions of the human organism can also be considered and the risk level can more reliable be predicted.