Literature DB >> 2671272

Knowledge-based approach to intelligent alarms.

Y Fukui1, T Masuzawa.   

Abstract

The goal of intelligent alarms is not only to recognize potentially dangerous situations, but to discriminate whether the condition is truly threatening or has resulted from nonthreatening causes, such as artifacts. The authors describe a knowledge-based approach in the development of intelligent alarms, using complex guidelines that simulate human reasoning and follow "if, then" rules of problem solving.

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Year:  1989        PMID: 2671272     DOI: 10.1007/bf01627458

Source DB:  PubMed          Journal:  J Clin Monit        ISSN: 0748-1977


  5 in total

1.  Artifact detection in cardiovascular time series monitoring data from preterm infants.

Authors:  C Cao; I S Kohane; N McIntosh
Journal:  Proc AMIA Symp       Date:  1999

2.  Evaluation of a parallel implementation of the learning portion of the backward error propagation neural network: experiments in artifact identification.

Authors:  D F Sittig; J A Orr
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

Review 3.  Automation of anaesthesia: a review on multivariable control.

Authors:  Jing Jing Chang; S Syafiie; Raja Kamil; Thiam Aun Lim
Journal:  J Clin Monit Comput       Date:  2014-06-25       Impact factor: 2.502

4.  Event discovery in medical time-series data.

Authors:  C L Tsien
Journal:  Proc AMIA Symp       Date:  2000

5.  An expert system for monitor alarm integration.

Authors:  C Oberli; J Urzua; C Saez; M Guarini; A Ciprianio; B Garayar; G Lema; R Canessa; C Sacco; M Irarrazaval
Journal:  J Clin Monit Comput       Date:  1999-01       Impact factor: 2.502

  5 in total

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