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
Continuous vital signs monitoring in post-surgical ward patients may support early detection of clin...
Generally in hospitals, false arrhythmia alarm rates are very high in intensive care units (ICUs) pa...
Data from the automatic monitoring of intensive care patients exhibits trends, outliers, and level c...
We studied the effects of removing brief variations in the monitoring data on the quality of limit a...
Vigilant observation of the patient forms the basis of intensive care. Automatic monitoring equipmen...
In the last two decades there has been a rapid development of the equipment used for monitoring of c...
Objective. Our objective was to study the distribution of invasively measured hemodynamic data to e...
Several variables are usually recorded on line in Intensive Care Units (ICU) to detect changes in a ...
Postoperative monitoring of cardiac operated patients requires appropriately functioning monitor ala...
Online-monitoring systems in intensive care are affected by a high rate of false threshold alarms. T...
Much of the work in the ICU revolves around information that is recorded by electronic devices. Such...
International audienceThis paper presents an alarm validation system dedicated to patient monitoring...
PurposePhysiologic monitors are plagued with alarms that create a cacophony of sounds and visual ale...
Physiologic monitors are plagued with alarms that create a cacophony of sounds and visual alerts cau...
BackgroundClinicians in intensive care units experience alarm fatigue related to frequent false and ...
Continuous vital signs monitoring in post-surgical ward patients may support early detection of clin...
Generally in hospitals, false arrhythmia alarm rates are very high in intensive care units (ICUs) pa...
Data from the automatic monitoring of intensive care patients exhibits trends, outliers, and level c...
We studied the effects of removing brief variations in the monitoring data on the quality of limit a...
Vigilant observation of the patient forms the basis of intensive care. Automatic monitoring equipmen...
In the last two decades there has been a rapid development of the equipment used for monitoring of c...
Objective. Our objective was to study the distribution of invasively measured hemodynamic data to e...
Several variables are usually recorded on line in Intensive Care Units (ICU) to detect changes in a ...
Postoperative monitoring of cardiac operated patients requires appropriately functioning monitor ala...
Online-monitoring systems in intensive care are affected by a high rate of false threshold alarms. T...
Much of the work in the ICU revolves around information that is recorded by electronic devices. Such...
International audienceThis paper presents an alarm validation system dedicated to patient monitoring...
PurposePhysiologic monitors are plagued with alarms that create a cacophony of sounds and visual ale...
Physiologic monitors are plagued with alarms that create a cacophony of sounds and visual alerts cau...
BackgroundClinicians in intensive care units experience alarm fatigue related to frequent false and ...
Continuous vital signs monitoring in post-surgical ward patients may support early detection of clin...
Generally in hospitals, false arrhythmia alarm rates are very high in intensive care units (ICUs) pa...
Data from the automatic monitoring of intensive care patients exhibits trends, outliers, and level c...