Automated Anesthesia Artifact Analysis: Can Machines Be Trained to Take out the Garbage?
Overview
Overview
Journal
J Clin Monit Comput
Publisher
Springer
Specialties
Anesthesiology
General Medicine
Medical Informatics
General Medicine
Medical Informatics
Date
2020 Sep 13
PMID
32920701
Citations
3
Authors
Affiliations
Affiliations
Soon will be listed here.
Citing Articles
Harandi A, McPherson K, Lo Y, Gutierrez R, Chao J Paediatr Anaesth. 2023; 34(4):318-323.
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A Spatiotemporal and Multisensory Approach to Designing Wearable Clinical ICU Alarms.
Sangari A, Bingham M, Cummins M, Sood A, Tong A, Purcell P J Med Syst. 2023; 47(1):105.
PMID: 37847469 DOI: 10.1007/s10916-023-01997-2.
Khan J, Maslove D, Boyd J Crit Care Explor. 2022; 4(12):e0814.
PMID: 36567784 PMC: 9762921. DOI: 10.1097/CCE.0000000000000814.
References
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Takla G, Petre J, Doyle D, Horibe M, Gopakumaran B
. The problem of artifacts in patient monitor data during surgery: a clinical and methodological review. Anesth Analg. 2006; 103(5):1196-204.
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Eden A, Grach M, Goldik Z, Shnaider I, Lazarovici H, Barnett-Griness O
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DOI: 10.1017/S0265021506000834.
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Hravnak M, Chen L, Bose E, Fiterau M, Guillame-Bert M, Dubrawski A
. Artifact Patterns in Continuous Noninvasive Monitoring of Patients. Intensive Care Med. 2014; 39(Suppl 2):S405.
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