DocumentCode
1911412
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
fYear
2006
fDate
2006
Firstpage
193
Lastpage
194
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference, 2006. Proceedings of the IEEE 32nd Annual Northeast
Conference_Location
Easton, PA, USA
Print_ISBN
0-7803-9563-8
Type
conf
DOI
10.1109/NEBC.2006.1629818
Filename
1629818
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