%0 Conference Proceedings
%T Classyfing Agitation in Sedated ICU Patients
%A Pierluigi Casale
%A Oriol Pujol
%A Petia Radeva
%B Medical Image Computing in Catalunya: Graduate Student Workshop
%D 2010
%F Pierluigi Casale2010
%O MILAB;HUPBA
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1467), last updated on Thu, 18 Jan 2018 12:01:03 +0100
%X 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.
%P 19–20