Title :
Database schema design for supporting sport activity monitoring
Author :
Toth-Laufer, Edit
Author_Institution :
Doctoral Sch. of Appl. Inf. & Appl. Math., Obuda Univ., Budapest, Hungary
Abstract :
The patient-specific evaluation in sport monitoring is the basis of obtaining realistic results. It means that the risk factors should be well chosen from the patient´s as well as the chosen sport type´s point of view, the interactions between the factors should be mapped and the thresholds should be defined, depending on the patient for each sport type separately. In order to manage these requirements a robust, flexible risk assessment framework is needed with high adaptive capacity. This framework is effectively applicable only in the case if a properly constructed database serves as the basis of it. In this paper the author presents a database schema design to support the implementation of this kind of sport activity risk assessment framework, which uses fuzzy logic to handle the uncertainties, imprecision and subjectivity in the system parameters and in the evaluation process. The database designing problems and their treatment possibilities are also being considered in the paper.
Keywords :
database management systems; fuzzy logic; medical computing; patient monitoring; risk management; sport; database schema design; fuzzy logic; high adaptive capacity; patient-specific evaluation process; risk factors; robust flexible risk assessment framework; sport activity monitoring; sport activity risk assessment framework; system parameters; Biomedical monitoring; Data models; Databases; Heart rate; Monitoring; Object oriented modeling; Risk management;
Conference_Titel :
Intelligent Engineering Systems (INES), 2014 18th International Conference on
Conference_Location :
Tihany
DOI :
10.1109/INES.2014.6909358