Skip to Main content Skip to Navigation
Journal articles

Automatic characterization of events on SpO2 signal: comparison of two methods.

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.
Document type :
Journal articles
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-00348266
Contributor : Guillaume Becq Connect in order to contact the contributor
Submitted on : Thursday, December 18, 2008 - 12:26:34 PM
Last modification on : Tuesday, July 27, 2021 - 11:20:10 AM

Identifiers

Collections

Citation

M. C. Chambrin, Sylvie Charbonnier, S. Sharshar, Guillaume Becq, Lyes Badji. Automatic characterization of events on SpO2 signal: comparison of two methods.. Conference proceedings : .. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Institute of Electrical and Electronics Engineers (IEEE), 2004, 5, pp.3474-7. ⟨10.1109/IEMBS.2004.1403975⟩. ⟨hal-00348266⟩

Share

Metrics

Les métriques sont temporairement indisponibles