Stroke EEG Signal with Finger Stimulation

This Hemiparetic Stroke EEG dataset includes 64-channel electroencephalographic signals recorded during electrical tactile stimulation of the index finger. The primary aim of this dataset is to explore the neural activity in the sensorimotor areas of the brain, particularly focusing on how the affected (paratic) side of the finger responds to stimulation. By analyzing these signals, researchers can gain valuable insights into the brain's adaptive mechanisms following a stroke, especially in relation to motor function and sensory processing in the paralyzed limb. This dataset can be a critical resource for developing rehabilitation strategies and advancing our understanding of stroke-induced brain changes.