• 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