The median filter as a preprocessor for a patient monitor limit alarm system in intensive care

Aki Mäkivirta (Corresponding Author), Erkki Koski, Aarno Kari, Tommi Sukuvaara

Research output: Contribution to journalArticleScientificpeer-review

79 Citations (Scopus)

Abstract

We studied the effects of removing brief variations in the monitoring data on the quality of limit alarms during the postoperative haemodynamic monitoring of cardiac patients. The variations were removed by median filtering. The false alarm frequency was reduced by more than two-thirds compared with a typical patient monitor.

We designed and clinically tested a novel dual-limit alarm system with two median filters. The proportion of true alarms increased from 12% to 49% as compared to a typical patient monitor. The average false alarm frequency was 4.5 alarms per monitored hour. No correct alarms were missed.
Original languageEnglish
Pages (from-to)139-144
JournalComputer Methods and Programs in Biomedicine
Volume34
Issue number2-3
DOIs
Publication statusPublished - 1991
MoE publication typeA1 Journal article-refereed

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Median filters
Alarm systems
Critical Care
Monitoring
Hemodynamics
Physiologic Monitoring
Data Accuracy

Cite this

Mäkivirta, Aki ; Koski, Erkki ; Kari, Aarno ; Sukuvaara, Tommi. / The median filter as a preprocessor for a patient monitor limit alarm system in intensive care. In: Computer Methods and Programs in Biomedicine. 1991 ; Vol. 34, No. 2-3. pp. 139-144.
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The median filter as a preprocessor for a patient monitor limit alarm system in intensive care. / Mäkivirta, Aki (Corresponding Author); Koski, Erkki; Kari, Aarno; Sukuvaara, Tommi.

In: Computer Methods and Programs in Biomedicine, Vol. 34, No. 2-3, 1991, p. 139-144.

Research output: Contribution to journalArticleScientificpeer-review

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