Demonstration and Performance Evaluation of Two Novel Algorithms for Removing Artifacts From Automated Intraoperative Temperature Data Sets: Multicenter, Observational, Retrospective Study

Demonstration and Performance Evaluation of Two Novel Algorithms for Removing Artifacts From Automated Intraoperative Temperature Data Sets: Multicenter, Observational, Retrospective Study

BackgroundThe automated acquisition of intraoperative patient temperature data via temperature probes leads to the possibility of producing a number of artifacts related to probe positioning that may impact these probes’ utility for observational research. Objecti...

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Bibliographic Details
Main Authors: Amit Bardia, Ranjit Deshpande, George Michel, David Yanez, Feng Dai, Nathan L Pace, Kevin Schuster, Michael R Mathis, Sachin Kheterpal, Robert B Schonberger
Format: Article
Language:English
Published: JMIR Publications 2022-10-01
Series:JMIR Perioperative Medicine
Online Access:https://periop.jmir.org/2022/1/e37174

Internet

https://periop.jmir.org/2022/1/e37174

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