ArticleScientific data2026
High-Density EEG and Multi-Muscle EMG Dataset during Object Prehension with a sensorized Grasping Box in Humans.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- High-Density EEG and Multi-Muscle EMG Dataset during Object Prehension with a sensorized Grasping Box in Humans.Scientific data · 2026Article
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Authors and funding
13 authors.
Funding
Abstract
Understanding how cortical areas control prehension movements requires synchronized neural and muscular data. For this aim, we introduce a novel open-access dataset of synchronized EEG and EMG recordings during prehension movements. The dataset combines high-density EEG (64 channels) with EMG recordings from 13 upper-limb muscles collected during prehension movements associated with 3 grip types: precision grip (thumb-index, PG), whole-hand power grasp (WH), and an unconventional grip (thumb-ring finger, UG). Data were acquired from 14 healthy participants performing visually guided prehension using a custom sensorized device that precisely timestamps action events, including go signals, object contacts, and lift completions. Each trial was divided into a dynamic phase (reaching, grasping, lifting) and a final isometric phase (holding), enabling investigation of transient and sustained motor activity. The extensive multi-muscle EMG recordings allow extraction of muscle synergy patterns that can be analyzed alongside EEG features to study cortico-muscular interactions. This dataset supports research on the neural control of complex hand movements, sensorimotor integration, and adaptive brain-computer interfaces. It provides a comprehensive resource for neuroscientists, engineers, and clinicians interested in motor control and its translation into rehabilitation practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.