» Articles » PMID: 32920701

Automated Anesthesia Artifact Analysis: Can Machines Be Trained to Take out the Garbage?

Overview
Publisher Springer
Date 2020 Sep 13
PMID 32920701
Citations 3
Authors
Affiliations
Soon will be listed here.
Citing Articles

A pragmatic methodology to extract anesthetic and physiological data from the electronic health record.

Harandi A, McPherson K, Lo Y, Gutierrez R, Chao J Paediatr Anaesth. 2023; 34(4):318-323.

PMID: 38055618 PMC: 10922302. DOI: 10.1111/pan.14817.


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.


Optimized Arterial Line Artifact Identification Algorithm Cleans High-Frequency Arterial Line Data With High Accuracy in Critically Ill Patients.

Khan J, Maslove D, Boyd J Crit Care Explor. 2022; 4(12):e0814.

PMID: 36567784 PMC: 9762921. DOI: 10.1097/CCE.0000000000000814.

References
1.
Simpao A, Ahumada L, Rehman M . Big data and visual analytics in anaesthesia and health care. Br J Anaesth. 2015; 115(3):350-6. DOI: 10.1093/bja/aeu552. View

2.
Kilkenny M, Robinson K . Data quality: "Garbage in - garbage out". Health Inf Manag. 2018; 47(3):103-105. DOI: 10.1177/1833358318774357. View

3.
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. DOI: 10.1213/01.ane.0000247964.47706.5d. View

4.
Eden A, Grach M, Goldik Z, Shnaider I, Lazarovici H, Barnett-Griness O . The implementation of an anesthesia information management system. Eur J Anaesthesiol. 2006; 23(10):882-9. DOI: 10.1017/S0265021506000834. View

5.
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. PMC: 4262397. View