An EEG-EMG dataset from a standardized reaching task for biomarker research in upper limb assessment
Abstract This work describes a dataset containing high-density EEG (hd-EEG) and surface electromiography (sEMG) to capture neuromechanical responses during a reaching task with and without the assistance of an upper-limb exoskeleton. It was designed to explore electrophysiological biomarkers for ass...
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| Main Authors: | Florencia Garro, Elena Fenoglio, Indya Ceroni, Inna Forsiuk, Michele Canepa, Michael Mozzon, Agnese Bruschi, Francesco Zippo, Matteo Laffranchi, Lorenzo De Michieli, Stefano Buccelli, Michela Chiappalone, Marianna Semprini |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05042-4 |
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