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

BACKGROUND: The 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. OBJECTIVE: We sought to compare the perfo...

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Detalles Bibliográficos
Autores principales: Bardia, Amit, Deshpande, Ranjit, Michel, George, Yanez, David, Dai, Feng, Pace, Nathan L, Schuster, Kevin, Mathis, Michael R, Kheterpal, Sachin, Schonberger, Robert B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9591708/
https://www.ncbi.nlm.nih.gov/pubmed/36197702
http://dx.doi.org/10.2196/37174

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9591708/
https://www.ncbi.nlm.nih.gov/pubmed/36197702
http://dx.doi.org/10.2196/37174

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