Intensive Care Unit False Alarm Identification Based on Convolution Neural Network

Intensive Care Unit False Alarm Identification Based on Convolution Neural Network

In the intensive care unit(ICU), excessive false alarms burden medical staff greatly, and cause a waste of medical resources as well. In order to alleviate false alarming in ICU, we constructed classification models based on convolutional neural network, which can directly deal with time series and...

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Bibliographic Details
Main Authors: Qiang Yu, Cheng Wang, Jing Xi, Ying Chen, Weifeng Li, Yun Ge, Xiaolin Huang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
DGCN
EDGCN
grouped convolution
ICU
multi-channel physiological signals
Online Access:https://ieeexplore.ieee.org/document/9447712/

Internet

https://ieeexplore.ieee.org/document/9447712/

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