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Suppression of Intensive Care Unit False Alarms Based on the Arterial Blood Pressure Signal

Patient monitoring in intensive care units requires collection and processing of high volumes of data. High sensitivity of sensors leads to significant number of false alarms, which cause alarm fatigue. Reduction of false alarms can lead to better reaction time of medical personnel. This paper aims...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Petre Lameski, Eftim Zdravevski, Saso Koceski, Andrea Kulakov, Vladimir Trajkovik
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2017-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Machine learning
medical expert systems
signal processing
patient monitoring
time series analysis
pattern recognition
Online-Zugang:https://ieeexplore.ieee.org/document/7890993/
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