Acute ischemic stroke brainwave classification using Relative Power Ratio Discriminant Function Analysis

This study proposes the application of Discriminant Function Analysis (DFA) to classify the brainwaves of stroke patient based on the Relative Power Ratio (RPR) techniques. RPR was performed to determine the brainwave characteristics due to group of stroke level. In this research, hundred stroke patients brainwave activity with open eyes (OE) session were measured, then group into Early Group (EG), Intermediate Group (IG) and Advance Group (AG). The Delta, Theta, Alpha and Beta Power Spectrum Density (PSD) are used as input for RPR. The pattern of group stroke level can be observed especially in the cognitive or thinking abilities by implementing RPR technique. Then DFA was used to predict the outcome to classify RPR towards the corresponding group of stroke level. This indicates that the group stroke level can discriminate due to the characteristics of RPR Delta, Alpha and Delta sub-band.