
Elisabete Aramendi
Department of Communications Engineering, University of the Basque Country UPV/EHU, Ingeniero Torres Quevedo Plaza, 1, 48013, Bilbao, Spain
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TBME, Featured Articles
A Machine Learning Shock Decision Algorithm for use during Piston-driven Chest Compressions
Iraia Isasi, Unai Irusta, Andoni Elola, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl
High quality chest compressions during cardiopulmonary resuscitation (CPR) and an early defibrillation are key to improve outcome in out-of-hospital cardiac arrest. Compressions must be interrupted for a reliable shock advice decision in the defibrillator because they induce artifacts in the...
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Posted on 1 JUN 2019