A foot motor imagery brain-computer interface with realistic visual feedback: preliminary evaluation in healthy and stroke subjects
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42600-021-00164-1.pdf
Reference59 articles.
1. Abdalsalam E, Yusoff MZ, Malik A, Kamel NS, Mahmoud D. Modulation of sensorimotor rhythms for brain-computer interface using motor imagery with online feedback. Signal Image Video Process Springer, London. 2018;12(3):557–64.
2. Ahn M, Jun SC. Performance variation in motor imagery brain-computer interface: a brief review. J Neurosci Methods. 2015;243(March 2016):103–10.
3. Aldea R, Oana-Diana E. Detecting sensorimotor rhythms from the EEG signals using the independent component analysis and the coefficient of determination. ISSCS 2013 - Int. Symp. Signals, Circuits Syst. 2013;2–6.
4. Ang KK, Guan C, Chua KSG, Ang BT, Kuah CWK, Wang C, et al. A large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface. Clin EEG Neurosci. 2011;42(4):253–8.
5. Bashashati A, Fatourechi M, Ward RK, Birch GE. A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals. J Neural Eng. 2007;4(2).
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