Unimanual Versus Bimanual Motor Imagery Classifiers for Assistive and Rehabilitative Brain Computer Interfaces

Author:

Vuckovic AleksandraORCID,Pangaro Sara,Finda Putri

Funder

Indonesian Government Ph.D. Scholarship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Flashlight-Net: A Modular Convolutional Neural Network for Motor Imagery EEG Classification;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-07

2. Neural Correlate and Movement Decoding of Simultaneous-and-Sequential Bimanual Movements Using EEG Signals;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

3. EEG Image Classification using Deep Metric Learning with Nearest Neighbor Technique;2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR);2023-12-09

4. The predictive value of cortical activity during motor imagery for subacute spinal cord injury-induced neuropathic pain;Clinical Neurophysiology;2023-04

5. Decoding Multi-Brain Motor Imagery From EEG Using Coupling Feature Extraction and Few-Shot Learning;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023

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