Automatic characterization of events on SpO2 signal : comparison of two methods
Chambrin, M.C.
Charbonnier, S.
Sharshar, S.
Becq, G.
Badji, L.
E.A. 2689, Inserm I.F.R. 114, C.H.U.ofLille, 59037 Lille, France;
Abstract
Two methods based on trend extraction have been designed to provide automatic analysis of physiological data recorded on adult patients hospitalized in intensive care unit. We focused our work on the characterization of events occurring on SpO2 signal, this signal being used to detect vital problems. Our aim was to recognize events related to technical or vital problems to assist medical staff in his decision process. Our results show that both methods are able to detect and distinguish between probe deconnection, transient hypoxia and desaturation events.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
