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

Aki Mäkivirta; Erkki Koski; Aarno Kari; Tommi Sukuvaara

doi:10.1016/0169-2607(91)90039-V

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

VTT Technical Research Centre of Finland

Kuopio University Hospital

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

83 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 language	English
Pages (from-to)	139-144
Journal	Computer Methods and Programs in Biomedicine
Volume	34
Issue number	2-3
DOIs	https://doi.org/10.1016/0169-2607(91)90039-V
Publication status	Published - 1991
MoE publication type	A1 Journal article-refereed

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title = "The median filter as a preprocessor for a patient monitor limit alarm system in intensive care",

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.",

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AB - 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.

U2 - 10.1016/0169-2607(91)90039-V

DO - 10.1016/0169-2607(91)90039-V

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ER -

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

Abstract

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