Abstract
Stroke can cause severe motor and sensory impairments. Recent studies focus their attention to the Quantitative EEG (qEEG) searching for information in the brain signals that can help clinicians understating each patient’s clinical state. In this study, we recorded 8 min of resting state EEG to 34 stroke patients in order to find some correlation between the brain signals and the functional motor state of the upper extremity. We used the Fugl-Meyer Assessment (FMA) for the functional assessment, and the Delta Alpha Ratio (DAR) and the Power Ratio Index (PRI) as features of the brain signals. The results showed that lower values of DAR and PRI are related with a better functionality in the upper extremity of the stroke patient. Future work must focus on exploring the relation of this parameters with other functional scales.
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