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

Tommi Sukuvaara, Erkki Koski, Aki Mäkivirta, Aarno Kari

Research output: Contribution to journalArticleScientificpeer-review

27 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 languageEnglish
Pages (from-to)117 - 126
Number of pages10
JournalInternational Journal of Clinical Monitoring and Computing
Volume10
Issue number2
DOIs
Publication statusPublished - 1993
MoE publication typeA1 Journal article-refereed

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Hypoventilation
Hypovolemia
Physiologic Monitoring
Critical Care
Information Systems
Intensive Care Units
Nurses

Cite this

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title = "A knowledge-based alarm system for monitoring cardiac operated patients: Technical construction and evaluation",
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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A knowledge-based alarm system for monitoring cardiac operated patients : Technical construction and evaluation. / Sukuvaara, Tommi; Koski, Erkki; Mäkivirta, Aki; Kari, Aarno.

In: International Journal of Clinical Monitoring and Computing, Vol. 10, No. 2, 1993, p. 117 - 126.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - A knowledge-based alarm system for monitoring cardiac operated patients

T2 - Technical construction and evaluation

AU - Sukuvaara, Tommi

AU - Koski, Erkki

AU - Mäkivirta, Aki

AU - Kari, Aarno

N1 - Project code: SAI3006

PY - 1993

Y1 - 1993

N2 - 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.

AB - 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.

U2 - 10.1007/BF01142282

DO - 10.1007/BF01142282

M3 - Article

VL - 10

SP - 117

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JO - Journal of Clinical Monitoring and Computing

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