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 assessing assistive technologies. Data were collected from 40 healthy participants performing 10 repetitions of three standardized reaching tasks. A custom-designed touch panel was built to standardize and simulate natural upper-limb movements relevant to daily activities. The dataset is formatted according to the Brain Imaging Data Structure (BIDS) standard, in alignment with FAIR principles. To provide an overview of data quality, we present subject-level analyses of event-related spectral perturbation (E

SUBMITTER: Garro F 

PROVIDER: S-EPMC12092770 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature