Wang, K.; Tian, F.; Xu, M.; Zhang, S.; Xu, L.; Ming, D.
Resting-State EEG in Alpha Rhythm May Be Indicative of the Performance of Motor Imagery-Based Brain–Computer Interface. Entropy 2022, 24, 1556.
https://doi.org/10.3390/e24111556
AMA Style
Wang K, Tian F, Xu M, Zhang S, Xu L, Ming D.
Resting-State EEG in Alpha Rhythm May Be Indicative of the Performance of Motor Imagery-Based Brain–Computer Interface. Entropy. 2022; 24(11):1556.
https://doi.org/10.3390/e24111556
Chicago/Turabian Style
Wang, Kun, Feifan Tian, Minpeng Xu, Shanshan Zhang, Lichao Xu, and Dong Ming.
2022. "Resting-State EEG in Alpha Rhythm May Be Indicative of the Performance of Motor Imagery-Based Brain–Computer Interface" Entropy 24, no. 11: 1556.
https://doi.org/10.3390/e24111556
APA Style
Wang, K., Tian, F., Xu, M., Zhang, S., Xu, L., & Ming, D.
(2022). Resting-State EEG in Alpha Rhythm May Be Indicative of the Performance of Motor Imagery-Based Brain–Computer Interface. Entropy, 24(11), 1556.
https://doi.org/10.3390/e24111556