Chapter

Medical Data Analysis

Volume 1933 of the series Lecture Notes in Computer Science pp 67-77

Date:

Some Statistical Methods in Intensive Care Online Monitoring — A Review

  • Roland FriedAffiliated withDepartment of Statistics, University of Dortmund
  • , Ursula GatherAffiliated withDepartment of Statistics, University of Dortmund
  • , Michael ImhoffAffiliated withSurgical Department, Community Hospital Dortmund
  • , Marcus BauerAffiliated withDepartment of Statistics, University of Dortmund

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Abstract

Intelligent alarm systems are needed for adequate bedside decision support in critical care. Clinical information systems acquire physiological variables online in short time intervals. To identify complications as well as therapeutic effects procedures for rapid classification of the current state of the patient have to be developed. Detection of characteristic patterns in the data can be accomplished by statistical time series analysis. In view of the high dimension of the data statistical methods for dimension reduction should be used in advance. We discuss the potential of statistical techniques for online monitoring.