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Author (up) Pierluigi Casale; Oriol Pujol; Petia Radeva edit  openurl
  Title Classyfing Agitation in Sedated ICU Patients Type Conference Article
  Year 2010 Publication Medical Image Computing in Catalunya: Graduate Student Workshop Abbreviated Journal  
  Volume Issue Pages 19–20  
  Keywords  
  Abstract Agitation is a serious problem in sedated intensive care unit (ICU) patients. In this work, standard machine learning techniques working on wearable accelerometer data have been used to classifying agitation levels achieving very good classification performances.  
  Address Girona  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference MICCAT  
  Notes MILAB;HUPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ COR2010 Serial 1467  
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