An Interventional Brain-Computer Interface for Long-Term EEG Collection and Motion Classification of a Quadruped Mammal

An Interventional Brain-Computer Interface for Long-Term EEG Collection and Motion Classification of a Quadruped Mammal

Brain-computer interfaces (BCI) acquire electroencephalogram (EEG) signals to effectively address postoperative motor dysfunction in stroke patients by discerning their motor intentions during significant movements. Traditionally, noninvasive BCIs have been constrained by limitations in their usage...

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Bibliographic Details
Main Authors: Sining Li, Gan Liu, Fan Feng, Ziqing Chang, Wenyu Li, Feng Duan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Interventional BCI
EEG
motion classification
Online Access:https://ieeexplore.ieee.org/document/10972026/
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https://ieeexplore.ieee.org/document/10972026/

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