ArticleFrontiers in human neuroscience2023
Decoding reach-to-grasp from EEG using classifiers trained with data from the contralateral limb.
Article in Frontiers in human neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Macroscopic EEG reveals discriminative low-frequency oscillations in plan-to-grasp visuomotor tasks.Journal of neural engineering · 2026Article
- Dynamic evolution of intracortical and corticomuscular connectivity during reach-and-grasp movement planning and execution.Scientific reports · 2025Article
- A large electroencephalogram database of freewill reaching and grasping tasks for brain machine interfaces.Scientific data · 2025Article
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3 authors.
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Abstract
Fundamental to human movement is the ability to interact with objects in our environment. How one reaches an object depends on the object's shape and intended interaction afforded by the object, e.g., grasp and transport. Extensive research has revealed that the motor intention of reach-to-grasp can be decoded from cortical activities using EEG signals. The goal of the present study is to determine the extent to which information encoded in the EEG signals is shared between two limbs to enable cross-hand decoding. We performed an experiment in which human subjects (
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