IEEE Transactions on Biomedical Engineering
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
Featured Articles
SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal
Han-Tai Shiao, Vladimir Cherkassky, Jieun Lee, Brandon Veber, Edward E. Patterson, Benjamin H. Brinkmann, Gregory A. Worrell
This paper describes a data-analytic modeling approach for the prediction of epileptic seizures from intracranial electroencephalogram (iEEG) recording of brain activity. Even though it is widely accepted that statistical characteristics of iEEG signal change prior to seizures, robust seizure prediction...
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Posted on 23 APR 2017