A knowledge-based alarm system for monitoring cardiac operated patients: Technical construction and evaluation

Tommi Sukuvaara; Erkki Koski; Aki Mäkivirta; Aarno Kari

doi:10.1007/BF01142282

A knowledge-based alarm system for monitoring cardiac operated patients: Technical construction and evaluation

Tommi Sukuvaara, Erkki Koski, Aki Mäkivirta, Aarno Kari

VTT Technical Research Centre of Finland

Research output: Contribution to journal › Article › Scientific › peer-review

29 Citations (Scopus)

Abstract

A knowledge-based alarm system for intensive care monitoring was designed, built, tested on-line, and evaluated. The system is a functional prototype of a highly specific patient monitor providing alarms on hypovolemia, hyperdynamic state, left ventricular failure and hypoventilation. These intelligent alarm functions aim to maintain the quality of patient monitoring even if nurses' attention is temporarily reduced or focused elsewhere. The alarm system has an electronic access to data available in a multichannel patient monitor and the patient data management system of the intensive care unit. Median filtering, trend estimation, and rule-based reasoning are applied when processing the measured variables and estimating the patient's state.

Original language	English
Pages (from-to)	117-126
Journal	International Journal of Clinical Monitoring and Computing
Volume	10
Issue number	2
DOIs	https://doi.org/10.1007/BF01142282
Publication status	Published - 1993
MoE publication type	A1 Journal article-refereed

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abstract = "A knowledge-based alarm system for intensive care monitoring was designed, built, tested on-line, and evaluated. The system is a functional prototype of a highly specific patient monitor providing alarms on hypovolemia, hyperdynamic state, left ventricular failure and hypoventilation. These intelligent alarm functions aim to maintain the quality of patient monitoring even if nurses' attention is temporarily reduced or focused elsewhere. The alarm system has an electronic access to data available in a multichannel patient monitor and the patient data management system of the intensive care unit. Median filtering, trend estimation, and rule-based reasoning are applied when processing the measured variables and estimating the patient's state.",

author = "Tommi Sukuvaara and Erkki Koski and Aki M{\"a}kivirta and Aarno Kari",

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