High Density Resting State EEG of Phantom Limb Pain and Controls
…amputees with phantom limb pain, amputees without phantom limb pain, and intact…
- Participants
- 38
- Channels
- 63 (10-10)
- Size
- 64.9 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
…amputees with phantom limb pain, amputees without phantom limb pain, and intact…
…2025 Lower-limb MI dataset for knee pain patients from Zuo et…
A BIDS-formatted high-density surface EMG (HDsEMG) dataset from 16 young volunteers performing submaximal (10-80% MVC) isometric ankle dorsiflexions (tibialis anterior, n=8) or knee extensions (vastus lateralis, n=8). Signals were recorded with four 64-electrode arrays (256 channels in total) together with force signals, supporting the decomposition of extensive motor unit samples and the study of rate coding. It is a BIDS conversion of the data from Avrillon et al. 2024, produced with the MUniverse software.
…during walking with a lower-limb exoskeleton [1]_. Dataset Overview ---------------- Code: Ortiz2023…
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.
…motor_imagery_same_limb - **Number of classes**: 2 - **Class labels**: right_hand…
NEMAR Dataset nm000104: emg2qwerty - EMG-based typing detection
…Electrical stimulation of temporal and limbic circuitry produces distinct responses in human…
EEG recordings from healthy participants performing self-initiated palmar and lateral reach-and-grasp actions, acquired simultaneously across three recording systems: gel-based laboratory EEG, water-based mobile EEG, and dry-electrode mobile EEG. The dataset supports investigation of the feasibility of decoding natural reach-and-grasp movement-related cortical potentials across EEG acquisition modalities for brain-computer interface applications. It is distributed in BIDS format as part of the MOABB benchmark collection.
…Simple limb motor imagery (left hand, right hand, feet) and compound limb…