Motor Imagery Hand Movement Direction Decoding Using Brain Computer Interface to Aid Stroke Recovery and Rehabilitation-Reference-Cited by-同舟云学术

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Motor Imagery Hand Movement Direction Decoding Using Brain Computer Interface to Aid Stroke Recovery and Rehabilitation

Published:2020-12 Issue:12 Volume:28 Page:3051-3062
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Benzy V. K.^ORCID,Vinod A. P.,Subasree R.^ORCID,Alladi Suvarna^ORCID,Raghavendra K.

Funder

Institute Post-Doctoral Fellowship, IIT Palakkad

Research Grant for Young Neurologist by Indian Stroke Association

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/9340019/09264251.pdf?arnumber=9264251

Cited by 58 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. Motor imagery of finger movements: Effects on cortical and muscle activities;Behavioural Brain Research;2024-08

2. Multi-scale self-attention approach for analysing motor imagery signals in brain-computer interfaces;Journal of Neuroscience Methods;2024-08

3. FSTA-Net: Motor Imagery EEG Decoding Based on Frequency–Spatial–Time Features;IEEE Sensors Journal;2024-08-01

4. Characterization and classification of kinesthetic motor imagery levels;Journal of Neural Engineering;2024-07-24

5. Trial of Brain–Computer Interface for Continuous Motion Using Electroencephalography and Electromyography;Electronics;2024-07-15

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