MUSCLE: MUlti Session Classification Longterm Electromyography

The MUSCLE dataset, acronym for MUlti Session Classification Longterm Electromyography, 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).