Detecting Artifacts in Clinical Data through Projection Retrieval

  • Published 2013


We outline a novel approach to distinguish correct alerts from artifacts in multivariate vital signs data collected at the bedside of critical care patients. The framework selects informative low-dimensional projections of data that allow easy identification and interpretation of artifacts by humans. The results enable designing reliable decision rules that… (More)

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