Ex vivo investigation of a smart endotracheal tube for identifying esophageal intubation
Year: 2025
Type: article
Abstract: Significance: Unrecognized intubation of the esophagus instead of the trachea results in rapid and severe consequences for the patient. Utilizing the spectral properties of the tissues could reduce incidents of these events. Aim: We aim to investigate the design and implementation of a smart endotracheal tube (ETT) with integrated optical fiber sensors to distinguish esophageal and tracheal tissues. Approach: -nearest neighbor and linear discriminant analysis (LDA)] are investigated. Results: Of the tissues sampled, 100% are correctly distinguished, with LDA being the preferred choice when considering both performance and applicability. Conclusions: In clinical practice, this approach offers a method for confirming correct tracheal intubation using the spectral properties of the tissues, performed in a single step with no other invasive medical device than the ETT required to detect the spectral measurements.
Source: Journal of Biomedical Optics
Language: English
Subfield: Anesthesiology and Pain Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,675
Funder: Medical Research Council
OpenAlex ID: W4411268539
