Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 The median filter as a preprocessor for a patient monitor limit alarm system in intensive care.

Literature DB >> 2060287

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

A Mäkivirta¹, E Koski, A Kari, T Sukuvaara.

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.

Entities: Species

Mesh：

Year: 1991 PMID： 2060287 DOI： 10.1016/0169-2607(91)90039-v

Source DB: PubMed Journal: Comput Methods Programs Biomed ISSN： 0169-2607 Impact factor: 5.428

Keyword Cloud
Cited

26 in total

1. Building ICU artifact detection models with more data in less time.

Authors: C L Tsien; I S Kohane; N McIntosh
Journal: Proc AMIA Symp Date: 2001

2. Extraction of a local linear trend from physiological time series.

Authors: Roland Fried; Ursula Gather; Michael Imhoff
Journal: AMIA Annu Symp Proc Date: 2003

3. Reduction of clinically irrelevant alarms in patient monitoring by adaptive time delays.

Authors: Felix Schmid; Matthias S Goepfert; Frank Franz; David Laule; Beate Reiter; Alwin E Goetz; Daniel A Reuter
Journal: J Clin Monit Comput Date: 2015-11-30 Impact factor: 2.502

4. Reduction of false arterial blood pressure alarms using signal quality assessment and relationships between the electrocardiogram and arterial blood pressure.

Authors: W Zong; G B Moody; R G Mark
Journal: Med Biol Eng Comput Date: 2004-09 Impact factor: 2.602

5. Individual and joint expert judgments as reference standards in artifact detection.

Authors: Marion Verduijn; Niels Peek; Nicolette F de Keizer; Erik-Jan van Lieshout; Anne-Cornelie J M de Pont; Marcus J Schultz; Evert de Jonge; Bas A J M de Mol
Journal: J Am Med Inform Assoc Date: 2007-12-20 Impact factor: 4.497

6. Influence of pulse oximeter settings on the frequency of alarms and detection of hypoxemia: Theoretical effects of artifact rejection, alarm delay, averaging, median filtering or a lower setting of the alarm limit.

Authors: A T Rheineck-Leyssius; C J Kalkman
Journal: J Clin Monit Comput Date: 1998-04 Impact factor: 2.502

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

1. Building ICU artifact detection models with more data in less time.

2. Extraction of a local linear trend from physiological time series.

3. Reduction of clinically irrelevant alarms in patient monitoring by adaptive time delays.

4. Reduction of false arterial blood pressure alarms using signal quality assessment and relationships between the electrocardiogram and arterial blood pressure.

5. Individual and joint expert judgments as reference standards in artifact detection.

6. Influence of pulse oximeter settings on the frequency of alarms and detection of hypoxemia: Theoretical effects of artifact rejection, alarm delay, averaging, median filtering or a lower setting of the alarm limit.

7. An expert system for monitor alarm integration.

8. Arterial blood pressure during early sepsis and outcome.

9. Robust parameter extraction for decision support using multimodal intensive care data.

10. Hemodynamic variables and mortality in cardiogenic shock: a retrospective cohort study.