One approach fusion vital signs based on Bayesian networks

Vinicius Ruiz Martins, J. Boudy, R. V. Andreão, T. F. Bastos-Filho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

It is proposed in this paper the use of probabilistic nets (with the use of Bayesian network technique) for vital and movement signal fusion. The signals are acquired by a mobile telemonitoring system for patients at home (called RFPAT), developed for automatic identification of urgent situations. The advantages of probabilistic network are shown, as well as the methodology used to perform the sensor signal classification. Finally, the applicability of the system as an important tool to assist elderly patients or patients with cardiac diseases attendance hospitalized at home is demonstrated through experiments.

Original languageEnglish
Title of host publication4th Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health
PublisherSpringer Verlag
Pages178-182
Number of pages5
ISBN (Print)9783540744702
DOIs
Publication statusPublished - 1 Jan 2008
Externally publishedYes
Event4th Latin American Congress on Biomedical Engineering, CLAIB 2007 - Margarita Island, Venezuela, Bolivarian Republic of
Duration: 24 Sept 200728 Sept 2007

Publication series

NameIFMBE Proceedings
Volume18
ISSN (Print)1680-0737

Conference

Conference4th Latin American Congress on Biomedical Engineering, CLAIB 2007
Country/TerritoryVenezuela, Bolivarian Republic of
CityMargarita Island
Period24/09/0728/09/07

Keywords

  • Artificial intelligence
  • Bayesian networks
  • Data fusion
  • Decision support systems
  • Telemonitoring

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