Reducing False Alarms of Intensive Care Online-Monitoring Systems: An Evaluation of Two Signal Extraction Algorithms

Online-monitoring systems in intensive care are affected by a high rate of false threshold alarms. These are caused by irrelevant noise and outliers in the measured time series data. The high false alarm rates can be lowered by separating relevant signals from noise and outliers online, in such a wa...

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Detalles Bibliográficos
Autores principales: Borowski, M., Siebig, S., Wrede, C., Imhoff, M.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3064994/
https://www.ncbi.nlm.nih.gov/pubmed/21461385
http://dx.doi.org/10.1155/2011/143480

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3064994/
https://www.ncbi.nlm.nih.gov/pubmed/21461385
http://dx.doi.org/10.1155/2011/143480

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