Acute Respiratory Failure-II
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Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
Published on: January 24, 2025
Patrick Essay1, Julia M Fisher2, Jarrod M Mosier3,4
1Department of Systems and Industrial Engineering, College of Engineering, The University of Arizona, Tucson, AZ.
This study validates an electronic phenotyping algorithm for accurately identifying patients with acute respiratory failure across various respiratory support methods. The robust algorithm is essential for large-scale retrospective research on patient outcomes.
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2026-06-19T13:39:27.550674+00:00