Classification of Motor Imagery Tasks Derived from Unilateral Upper Limb based on a Weight-optimized Learning Model.

Journal: Journal of integrative neuroscience

PMID: 38812384

Abstract

BACKGROUND: The accuracy of decoding fine motor imagery (MI) tasks remains relatively low due to the dense distribution of active areas in the cerebral cortex.

Authors

Qing Cai
Chuan Liu

Link Sense Laboratory, Nanjing Research Institute of Electronic Technology, Nanjing, China.
Anqi Chen

School of Information Engineering, Wuhan University of Technology, 430070 Wuhan, Hubei, China.

Keywords

Adult Deep Learning Electroencephalography Humans Imagination Machine Learning Male Motor Activity Neural Networks, Computer Upper Extremity Young Adult

External Resources

View on PubMed Access via DOI PubMed (38812384)

Classification of Motor Imagery Tasks Derived from Unilateral Upper Limb based on a Weight-optimized Learning Model.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals