nm000107
FRL Wrist Control: Wrist Movement Decoding from Surface Electromyography
EMG Zarr
…Participant wears sEMG-RD on dominant wrist 2. Motion capture tracks wrist…
- Participants
- 100
- Size
- 24.9 GB
- Version
- v2.0.0
- Updated
- Feb 23, 2026
Discover datasets
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- nm000104
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
EMG Zarr…sEMG Research Device (sEMG-RD) **Configuration**: Two wristbands (left and right wrists…
- Participants
- 108
- Citations
- 1
- Size
- 223 GB
- Version
- v2.0.0
- Updated
- Feb 23, 2026
- nm000105
FRL Discrete Gestures: Hand Gesture Recognition from Surface Electromyography
EMG Zarr…sEMG Research Device (sEMG-RD) **Configuration**: Single wristband (dominant wrist) **Channels**: 16…
- Participants
- 100
- Size
- 20.6 GB
- Version
- v2.0.0
- Updated
- Feb 23, 2026
- nm000106
FRL Handwriting: Handwriting Decoding from Surface Electromyography
EMG Zarr…25.1 WPM - sEMG handwriting: 20.9 WPM (83% of baseline) - Mobile…
- Participants
- 100
- Size
- 45.3 GB
- Version
- v2.0.0
- Updated
- Feb 23, 2026
- nm000155
MUniverse Caillet et al 2023
EMG ZarrA BIDS-formatted dataset of high-density surface EMG (HDsEMG) recordings from the right tibialis anterior of six healthy male participants. Four 64-channel grids (256 electrodes) recorded trapezoidal isometric dorsiflexion contractions at 30% and 50% of maximal voluntary contraction, together with force signals. The dataset supports studies of electrode grid design and motor unit identification.
- Participants
- 6
- Size
- 448 MB
- Version
- v1.0.1
- Updated
- Jun 1, 2026
- nm000108
HySER: High-Density Surface Electromyogram Recordings
EMG Zarr…semg%2F1.0.0-green)](https://physionet.org/content/hd-semg/1…
- Participants
- 20
- Size
- 108 GB
- Version
- v1.0.1
- Updated
- Feb 20, 2026
- nm000159
MUniverse Avrillon et al 2024
EMG ZarrA 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.
- Participants
- 16
- Size
- 5.51 GB
- Version
- v1.0.1
- Updated
- Jun 1, 2026
- nm000281
emg2pose: Surface EMG and Hand Pose
EMG Zarr…It contains 2 kHz, 16-channel sEMG recordings paired with hand pose…
- Participants
- 193
- Size
- 740 GB
- Version
- v1.0.3
- Updated
- Aug 31, 2026
- nm000165
MUniverse Grison et al 2025
EMG ZarrHigh-density surface EMG (HDsEMG) recordings from the right tibialis anterior of a single healthy participant performing submaximal isometric ankle dorsiflexions at 10 to 70 percent of maximal voluntary contraction. Signals were acquired with two 64-electrode arrays (128 electrodes total) alongside force measurements. The dataset includes labeled motor unit spike trains derived from concurrent invasive EMG, and supports motor unit decomposition research.
- Participants
- 1
- Size
- 1.34 GB
- Version
- v1.0.1
- Updated
- Jun 1, 2026