Personal-statistics-based heart rate evaluation in anytime risk calculation model

Edit Toth-Laufer, A. Várkonyi-Kóczy

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Nowadays, the changes in people's habits and the development of technology result in the wide spreading of the model-based health monitoring systems. In this paper, an improvement of the measurement evaluation method is introduced, which is used during the sport activity in real-time. The basis of the novel approach is our previously reported anytime hierarchical fuzzy risk calculation model, 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. In the new model the input membership functions, which are tuned according to the patient characteristics, are modified based on the data recorded during previous measurements 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 be more reliably predicted.

Original languageEnglish
Article number6981932
Pages (from-to)2127-2135
Number of pages9
JournalIEEE Transactions on Instrumentation and Measurement
Volume64
Issue number8
DOIs
Publication statusPublished - Aug 1 2015

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heart rate
Statistics
statistics
evaluation
systems health monitoring
membership functions
habits
Membership functions
Sports
organisms
resources
Health
Monitoring

Keywords

  • Anytime operation
  • fuzzy modeling
  • health monitoring
  • personal statistics
  • risk calculation.

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Personal-statistics-based heart rate evaluation in anytime risk calculation model. / Toth-Laufer, Edit; Várkonyi-Kóczy, A.

In: IEEE Transactions on Instrumentation and Measurement, Vol. 64, No. 8, 6981932, 01.08.2015, p. 2127-2135.

Research output: Contribution to journalArticle

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