Title :
Using Neural Networks to Identify Airway Obstructions in Anesthetized Patients based on Photoplethysmography
Author :
Knorr, Bethany R. ; McGrath, Susan P. ; Blike, George T.
Author_Institution :
Institute for Security Technology Studies and Thayer School of Engineering, Dartmouth College
Abstract :
Photoplethysmography has been recently studied as a non-invasive indicator of circulatory and respiratory function. In this study, the analysis of this signal and its features is used to identify airway status in patients under the influence of anesthetics. A neural network is utilized with reasonable accuracy to classify segments as being times of `obstructed´ vs. `normal´ airways status.
Keywords :
Anesthesia; Anesthetic drugs; Data mining; Forehead; Frequency; Intelligent networks; Neural networks; Pulse measurements; Reflectivity; Volume measurement;
Conference_Titel :
Bioengineering Conference, 2006. Proceedings of the IEEE 32nd Annual Northeast
Conference_Location :
Easton, PA, USA
Print_ISBN :
0-7803-9563-8
DOI :
10.1109/NEBC.2006.1629818
