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Motor imagery dataset for three imaginary states of the same upper extremity

This dataset contains EEG recordings from 12 healthy human subjects performing three-class motor imagery tasks involving the same upper extremity: rest, imagined grasping, and imagined elbow flexion. Data were collected across four sessions per subject using a 32-channel EEG system, and the dataset is a BIDS-formatted derivative of the original study on classifying imaginary motor states using time-domain features. The dataset supports research in brain-computer interfaces (BCI) for motor rehabilitation applications.

Participants: 12
Channels: 32 (egi-geodesic)
Citations: 44
HED: v8.4.0
Size: 52.0 GB
Version: v1.0.3
Updated: Aug 20, 2026

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