Noise Detection in Electrocardiogram Signals for Intensive Care Unit Patients

Noise Detection in Electrocardiogram Signals for Intensive Care Unit Patients

Long-term electrocardiogram (ECG) signals recorded in an intensive care unit (ICU) are often corrupted by severe motion and noise artifacts (MNA), which may lead to many false alarms, including inaccurate detection of atrial fibrillation (AF). We developed an automated method to detect MNA from ECG...

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Bibliographic Details
Main Authors: Syed Khairul Bashar, Eric Ding, Allan J. Walkey, David D. McManus, Ki H. Chon
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Atrial fibrillation
artifacts
electrocardiogram
false alarm
ICU
noise
Online Access:https://ieeexplore.ieee.org/document/8752361/

Internet

https://ieeexplore.ieee.org/document/8752361/

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