Predictive Monitoring of Critical Cardiorespiratory Alarms in Neonates Under Intensive Care

Predictive Monitoring of Critical Cardiorespiratory Alarms in Neonates Under Intensive Care

We aimed at reducing alarm fatigue in neonatal intensive care units by developing a model using machine learning for the early prediction of critical cardiorespiratory alarms. During this study in over 34,000 patient monitoring hours in 55 infants 278,000 advisory (yellow) and 70,000 critical (red)...

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Bibliographic Details
Main Authors: Rohan Joshi, Zheng Peng, Xi Long, Loe Feijs, Peter Andriessen, Carola Van Pul
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Alarm fatigue
medical devices
machine learning
NICU
patient monitoring
predictive monitoring
Online Access:https://ieeexplore.ieee.org/document/8910552/

Internet

https://ieeexplore.ieee.org/document/8910552/

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