nm000173 NEMAR-native dataset
Motor Imagery ataset from Ofner et al 2017
This dataset comprises EEG recordings from 15 healthy subjects performing and imagining six different upper limb movements (elbow flexion/extension, forearm supination/pronation, hand open/close) plus rest conditions. Data were collected during both movement execution and motor imagery sessions using 61-channel EEG with low-frequency filtering (0.3-3 Hz). The dataset is designed for brain-computer interface applications, particularly for neuroprosthesis control, and includes classification results demonstrating significant discrimination between movement types and rest states.
EEG