MUSCLE: MUlti Session Classification Longterm Electromyography
<p>The <strong><em>MUSCLE</em></strong> dataset, acronym for <em><strong>MU</strong>lti <strong>S</strong>ession <strong>C</strong>lassification <strong>L</strong>ongterm <strong>E</strong>lectromyography</em>, represents a significant resource for evaluating the robustness of upper limb prosthesis control. It features 10 recordings of High-Density surface electromyography (HD-sEMG) data gathered over an extensive timeframe. Utilizing a novel HD-sEMG setup, the dataset comprises 64 EMG signals during 10 repetitions of 10 distinct gestures, mirroring the functionality of a 5 Degrees of Freedom upper limb prosthetic device. This comprehensive dataset, accompanied by the release of control model code, not only enhances transparency but also fosters advancements in prosthetics research. For a deeper understanding of the HD-sEMG acquisition setup and control method implementation, readers are encouraged to explore the related publication titled "Non-Invasive High-Density Electromyography for Real-Time Control of 5 DoFs Hand Prosthesis", D. Di Domenico*, M. Iacono* et al., (2024).</p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 8
Topics
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