DocumentCode :
253445
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
fYear :
2014
fDate :
3-5 July 2014
Firstpage :
143
Lastpage :
149
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Engineering Systems (INES), 2014 18th International Conference on
Conference_Location :
Tihany
Type :
conf
DOI :
10.1109/INES.2014.6909358
Filename :
6909358
Link To Document :
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