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Updated: Jan 20, 2026

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
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转移学习对主体独立的运动图像使用卷积关系网络进行EEG分类

Zhenis Otarbay1,2, Abzal Kyzyrkanov2

  • 1Department of Robotics Engineering, Nazarbayev University, Astana, Kazakhstan.

Frontiers in neuroscience
|January 19, 2026
PubMed
概括

使用卷积关系网络 (ConvoReleNet) 进行转移学习,提高了运动图像 (MI) 电脑图像 (EEG) 分类的脑电脑接口 (BCI) 准确性. 这种方法提高了辅助技术的学科独立BCI性能.

关键词:
大脑与计算机接口 (BCI)卷积关系网络是卷积关系网络.电脑电图 (EEG) 是一种电脑电图.运动图像图像学神经信号处理神经信号处理独立于主体的分类.转移学习转移学习

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