Open AccessBook
Implementing an Intelligent Alarm System in Intensive Care Units
Derya Kilinc,Mattias Ghattas +1 more
Reads0
Chats0
TLDR
Today’s intensive care units monitor patients through the use of various medical devices, which generate a high ratio of false positive alarms due to a low alarm specificity.Abstract:
Today’s intensive care units monitor patients through the use of various medical devices, which generate a high ratio of false positive alarms due to a low alarm specificity. The false alarms have r ...read more
Citations
More filters
Book
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - Volume 188
Ahmed Abdelgawad,Magdy Bayoumi +1 more
TL;DR: In this paper, resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences are presented. But, the authors do not discuss how to combine multiple data sources.
Noise levels in a general intensive care unit : a descriptive study.
TL;DR: The aim of this small-scale study was to measure, analyse and compare levels of acoustic noise, in a nine-bedded general intensive care unit (ICU), and found that the problem of excessive noise exposure within the ICU continues to go unabated.
Alarm setting for the critically ill patient : A descriptive pilot survey of nurses’ perceptions of current practice in an Australian Regional Critical Care Unit
TL;DR: In this article, a survey was conducted to assess registered nurse's perceptions of alarm setting and management in an Australian Regional Critical Care Unit (RCU) and found that a significant number of respondents agreed that alarm fatigue can result in alarm desensitisation and disabling.
Patent
Detecting quality of physiologic data using contact pressure data for alarm generation
TL;DR: In this paper, the authors presented techniques for detecting quality of physiologic data using contact pressure data for alarm generation, where the first data is received from pressure-sensitive sensors, wherein the second data comprises contact pressure measurements.
Book ChapterDOI
The Median Filter and Its Variants
TL;DR: The median filter is a special case of the rank selection filter as discussed by the authors, and it is not an alternative filter to those described in this text, but it is simply one of many options that might arise from the design techniques should it happen to be the optimum for that example.
References
More filters
Journal ArticleDOI
Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter.
TL;DR: The robust HR estimation method is described, which provides an accurate HR estimate even in the presence of high levels of persistent noise and artifact, and during episodes of extreme bradycardia and tachycardia.
Journal ArticleDOI
Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients.
Barbara J. Drew,Patricia R.E. Harris,Jessica K. Zègre-Hemsey,Tina Mammone,Daniel M. Schindler,Rebeca Salas-Boni,Yong Bai,Adelita Tinoco,Quan Ding,Xiao Hu +9 more
TL;DR: An opportunity exists to improve physiologic monitoring and reduce alarm fatigue by focusing on use of all available ECG leads to identify non-artifact leads and leads with adequate QRS amplitude.
Journal ArticleDOI
Alarm Fatigue A Patient Safety Concern
Sue Sendelbach,Marjorie Funk +1 more
TL;DR: Quality improvement projects have demonstrated that strategies such as daily electrocardiogram electrode changes, proper skin preparation, education, and customization of alarm parameters have been able to decrease the number of false alarms, but these and other strategies need to be tested in rigorous clinical trials to determine whether they reduce alarm burden without compromising patient safety.
Journal ArticleDOI
Alarm algorithms in critical care monitoring.
Michael Imhoff,Silvia Kuhls +1 more
TL;DR: An overview of the current clinical situation and the underlying problems of alarm algorithms is given and different methods from statistics and computational science and their potential for clinical application are discussed.
Journal ArticleDOI
Clinical review: The impact of noise on patients' sleep and the effectiveness of noise reduction strategies in intensive care units.
TL;DR: Sound-absorbing treatment is a relatively effective noise reduction strategy, whereas sound masking appears to be the most effective technique for improving sleep.