BNCI 2025-002 Continuous 2D Trajectory Decoding dataset
…participants instructed to attempt lower arm movement as if wielding a computer…
- Participants
- 10
- Channels
- 60 (10-05)
- Citations
- 20
- HED
- v8.4.0
- Size
- 7.38 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
…participants instructed to attempt lower arm movement as if wielding a computer…
…2025 Multi-joint upper-limb MI dataset from Yi et al. 2025…
…motor_imagery_same_limb - **Number of classes**: 2 - **Class labels**: right_hand…
…upper limb movements, EEG, motor imagery, movement execution, low-frequency, time-domain…
Simultaneous electroencephalography (EEG), electrospinography (ESG), electroneurography (ENG) and electromyography (EMG) recordings from 26 participants, together with electrocardiographic and respiratory signals. Somatosensory evoked potentials were elicited by mixed nerve stimulation (median and tibial nerves) and sensory nerve stimulation of fingers and toes, alongside a resting-state condition with eyes open. ESG electrode positions are provided for each participant. The study was pre-registered on OSF.
…Electrical stimulation of temporal and limbic circuitry produces distinct responses in human…
This dataset contains simultaneous electroencephalography (EEG), electrospinography (ESG), electroneurography (ENG), and electromyography (EMG) recordings from 40 participants, together with electrocardiographic and respiratory signals. Four conditions were recorded: resting state with eyes open, mixed median nerve stimulation, mixed tibial nerve stimulation, and alternating median/tibial stimulation. ESG electrode positions are provided for each participant. The study was pre-registered on OSF.
…Simple limb motor imagery (left hand, right hand, feet) and compound limb…
A BIDS-formatted release of the Hyser high-density surface electromyogram (HD-sEMG) dataset. It contains 256-channel forearm EMG with simultaneous five-finger force recordings from 20 right-handed participants across two sessions. Tasks include 34 hand gestures, maximum voluntary contraction, and single-finger, multi-finger and random force-tracking tasks, supporting gesture recognition and force decoding research.
…1.1 - **Confidence Interval Lower**: 40.3 - **Confidence Interval Upper**: 50.3…