ConvNets for Electroencephalographic Decoding of Attempted Arm and Hand Movements of People with Spinal Cord Injury

ConvNets for Electroencephalographic Decoding of Attempted Arm and Hand Movements of People with Spinal Cord Injury

Brain–computer interfaces (BCIs) facilitate communication between the brain and external devices, providing an alternative solution for individuals with upper limb disabilities. The decoding of brain movement commands in BCIs relies on signal feature extraction and classification. Herein, the BNCI H...

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Bibliographic Details
Main Authors: Sandra Cancino, Juan Manuel López, Jaime F. Delgado Saa, Norelli Schettini
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Advanced Intelligent Systems
Subjects:
brain–computer interfaces
deep learning
electroencephalography (EEG)
transfer learning
Online Access:https://doi.org/10.1002/aisy.202300094

Internet

https://doi.org/10.1002/aisy.202300094

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