APA (7th ed.) Citation

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 (Basel, Switzerland), 24(11), 1556. https://doi.org/10.3390/e24111556

Chicago Style (17th ed.) Citation

Wang, Kun, Feifan Tian, Minpeng Xu, Shanshan Zhang, Lichao Xu, and Dong Ming. "Resting-State EEG in Alpha Rhythm May Be Indicative of the Performance of Motor Imagery-Based Brain–Computer Interface." Entropy (Basel, Switzerland) 24, no. 11 (2022): 1556. https://doi.org/10.3390/e24111556.

MLA (9th ed.) Citation

Wang, Kun, et al. "Resting-State EEG in Alpha Rhythm May Be Indicative of the Performance of Motor Imagery-Based Brain–Computer Interface." Entropy (Basel, Switzerland), vol. 24, no. 11, 2022, p. 1556, https://doi.org/10.3390/e24111556.