title: Extraction of a local linear trend from physiological time series.
abstract: We discuss methods for robust signal extraction from noisy physiological time series as measured in intensive care. The aim is a method which allows a fast and reliable de-noising of the data and separation of artifacts from relevant changes in the patients condition. For approximating local linear trends we use robust regression estimators. We examine the performance of the L1 regression, the repeated median and the least median of squares for this task.
authors.affiliation: Department of Statistics, University of Dortmund, 44221, Germany.
authors.forename: Roland
authors.initials: R
authors.lastname: Fried
authors.forename: Ursula
authors.initials: U
authors.lastname: Gather
authors.forename: Michael
authors.initials: M
authors.lastname: Imhoff
mesh_terms: D006751:Hospital Information Systems; D006801:Humans; D016014:Linear Models; D008991:Monitoring, Physiologic / Q000379:methods*; D012815:Signal Processing, Computer-Assisted