1994
DOI: 10.1109/51.334634
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Fuzzy logic approaches to intelligent alarms

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Cited by 20 publications
(5 citation statements)
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References 26 publications
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“…Other strategies to reduce the probability of catastrophic outcomes include providing smart alarms (Becker et al, 1994;Westenskow, Orr, Simon, Bender, & Frankenberger, 1992), using intelligent decision support systems (Lowe, Jones, & Harrison, 2001), and providing better training with emphasis on critical event management in high-fidelity patient simulators (Gaba, 1992;Gaba, Fish, & Howard, 1994). Without doubt, a combination of these and other strategies will have the highest impact on reducing catastrophic outcome.…”
Section: Introductionmentioning
confidence: 99%
“…Other strategies to reduce the probability of catastrophic outcomes include providing smart alarms (Becker et al, 1994;Westenskow, Orr, Simon, Bender, & Frankenberger, 1992), using intelligent decision support systems (Lowe, Jones, & Harrison, 2001), and providing better training with emphasis on critical event management in high-fidelity patient simulators (Gaba, 1992;Gaba, Fish, & Howard, 1994). Without doubt, a combination of these and other strategies will have the highest impact on reducing catastrophic outcome.…”
Section: Introductionmentioning
confidence: 99%
“…The author states that the method could also be used for other scenarios such as the prediction of a snowstorm. Becker et al [2] also adopt fuzzy-logic. They present a warning system for cardiovascular anesthesia.…”
Section: Related Workmentioning
confidence: 98%
“…The key point of all critical care transport is the continuous monitoring of vital signs, regardless of unfavorable environments for signals registration. Despite the development of new and continuous improvement of existing algorithms for computing signal analysis parameters [1][2][3][4][5], the accuracy of the numerical parameters monitored are often insufficient and inferior analytical expert conclusion [6][7][8][9]. In most cases, the algorithms provide accurate estimates but rarely results values can be unreliable, so-called slips.…”
Section: Introductionmentioning
confidence: 99%