A personal profile based patient-specific anytime risk calculation model

Edit Tóth-Laufer, A. Várkonyi-Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationIEEE MeMeA 2014 - IEEE International Symposium on Medical Measurements and Applications, Proceedings
PublisherIEEE Computer Society
ISBN (Print)9781479929207
DOIs
Publication statusPublished - 2014
Event9th IEEE International Symposium on Medical Measurements and Applications, IEEE MeMeA 2014 - Lisbon, Portugal
Duration: Jun 11 2014Jun 12 2014

Other

Other9th IEEE International Symposium on Medical Measurements and Applications, IEEE MeMeA 2014
CountryPortugal
CityLisbon
Period6/11/146/12/14

Fingerprint

Membership functions
Sports
Health
Monitoring
Processing
Uncertainty

Keywords

  • Anytime operation
  • Fuzzy modeling
  • Health monitoring
  • Risk calculation

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Tóth-Laufer, E., & Várkonyi-Kóczy, A. (2014). A personal profile based patient-specific anytime risk calculation model. In IEEE MeMeA 2014 - IEEE International Symposium on Medical Measurements and Applications, Proceedings [6860085] IEEE Computer Society. https://doi.org/10.1109/MeMeA.2014.6860085

A personal profile based patient-specific anytime risk calculation model. / Tóth-Laufer, Edit; Várkonyi-Kóczy, A.

IEEE MeMeA 2014 - IEEE International Symposium on Medical Measurements and Applications, Proceedings. IEEE Computer Society, 2014. 6860085.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tóth-Laufer, E & Várkonyi-Kóczy, A 2014, A personal profile based patient-specific anytime risk calculation model. in IEEE MeMeA 2014 - IEEE International Symposium on Medical Measurements and Applications, Proceedings., 6860085, IEEE Computer Society, 9th IEEE International Symposium on Medical Measurements and Applications, IEEE MeMeA 2014, Lisbon, Portugal, 6/11/14. https://doi.org/10.1109/MeMeA.2014.6860085
Tóth-Laufer E, Várkonyi-Kóczy A. A personal profile based patient-specific anytime risk calculation model. In IEEE MeMeA 2014 - IEEE International Symposium on Medical Measurements and Applications, Proceedings. IEEE Computer Society. 2014. 6860085 https://doi.org/10.1109/MeMeA.2014.6860085
Tóth-Laufer, Edit ; Várkonyi-Kóczy, A. / A personal profile based patient-specific anytime risk calculation model. IEEE MeMeA 2014 - IEEE International Symposium on Medical Measurements and Applications, Proceedings. IEEE Computer Society, 2014.
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