Development of new prognostic model for predicting poor functional outcome after acute ischemic supratentorial stroke using clinical parameters and parameters of quantitative electroencephalography

Abstract

Background: Elaboration of statistical models to predict functional recovery after acute ischemic supratentorial stroke (AISS) is a very important and relevant in modern angioneurology that can help the practicioners to improve treatment approaches. We therefore developed new model using clinical parameters and parameters of quantitative electroencephalography (QEEG).