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Circadian Rhythm Evaluation Using Fuzzy Logic

  • Martin CernyEmail author
  • Miroslav Pokorny
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 457)

Abstract

Useful information about person’s behavior and its changes provides the measurement of the physical activity of the monitored person in flat. The identified changes are cyclic with a period of approximately 24 hours – this is Circadian Rhythm of Activity, CAR. In the event that we correlate CAR with information about the type of room and activities envisaged in this room, we can define the circadian rhythm (CR). The CR evaluation is made by different mathematical and statistical procedures now. Such systems do not mostly have predictive character.

This work uses for classification and prediction of significant circadian rhythms deviations diagnostic method - fuzzy expert system. This methodology allows quick and effective decision-making and it shows predictive ability to detect deviations of circadian rhythm.

Keywords

Circadian rhythm Fuzzy logic Remote home care 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.VSB – Technical University of OstravaOstravaCzech Republic

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