A trend-based alarm system to improve patient monitoring in intensive care units
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Interviewees stated that trend-based alarms might be a useful complement to traditional threshold-based alarms.
“Furthermore, according to interviewees, trend-based alarms might be a useful complement to the traditional threshold-based alarms; this is consistent with a publication by Charbonnier et al, who was able to reduce 33% of false alarms by using a trend-based alarm system in the ICU [51].”
From Clinical requirements of future patient monitoring in the intensive care unit: qualitative study (2019) · cites this paper as [51]
Charbonnier et al were able to reduce 33% of false alarms by using a trend-based alarm system in the ICU.
“Furthermore, according to interviewees, trend-based alarms might be a useful complement to the traditional threshold-based alarms; this is consistent with a publication by Charbonnier et al, who was able to reduce 33% of false alarms by using a trend-based alarm system in the ICU [51].”
From Clinical requirements of future patient monitoring in the intensive care unit: qualitative study (2019) · cites this paper as [51]
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- Authors
- Charbonnier, S., & Gentil, S.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Charbonnier, S.
- ORCID
- Charbonnier, S.
- Venue
- Control Engineering Practice
- Publisher
- Elsevier BV
- Published
- 2007-09
- Volume
- 15
- Issue
- 9
- Pages
- 1039-1050
- ISSN
- 0967-0661 (ISSN-L)
- OpenAlex
- W2123182434
- Cited by
- 64
- References
- 28
- Citations by year
- 2023: 1 · 2021: 3 · 2019: 4 · 2018: 3 · 2017: 7 · 2016: 2 · 2015: 6 · 2014: 7 · 2013: 9 · 2012: 7
- FWCI
- 3.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Control Engineering Practice (publishedVersion)
- HAL (submittedVersion)
- Topics
- Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Keywords
- patient monitoring, intensive care unit, physiological signals, trend analysis, false alarm reduction
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