Using Supervised Machine Learning to Classify Real Alerts and Artifact in Online Multisignal Vital Sign Monitoring Data*-Reference-Cited by-同舟云学术

Using Supervised Machine Learning to Classify Real Alerts and Artifact in Online Multisignal Vital Sign Monitoring Data*

Published:2016-07 Issue:7 Volume:44 Page:e456-e463
ISSN:0090-3493
Container-title:Critical Care Medicine
language:en
Short-container-title:Critical Care Medicine

Author:

Chen Lujie,Dubrawski Artur,Wang Donghan,Fiterau Madalina,Guillame-Bert Mathieu,Bose Eliezer,Kaynar Ata M.,Wallace David J.,Guttendorf Jane,Clermont Gilles,Pinsky Michael R.,Hravnak Marilyn

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Critical Care and Intensive Care Medicine

Reference32 articles.

1. Addressing the flaws of current critical alarms: a fuzzy constraint satisfaction approach

2. The Problem of Artifacts in Patient Monitor Data During Surgery: A Clinical and Methodological Review

3. Rx for ECG monitoring artifact

4. A transform domain SVD filter for suppression of muscle noise artefacts in exercise ECG's

5. Adaptive filtering for ECG rejection from surface EMG recordings

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