Cite
Decoding Multi-Class Motor Imagery and Motor Execution Tasks Using Riemannian Geometry Algorithms on Large EEG Datasets.
MLA
Shuqfa, Zaid, et al. “Decoding Multi-Class Motor Imagery and Motor Execution Tasks Using Riemannian Geometry Algorithms on Large EEG Datasets.” Sensors (14248220), vol. 23, no. 11, June 2023, p. 5051. EBSCOhost, https://doi.org/10.3390/s23115051.
APA
Shuqfa, Z., Belkacem, A. N., & Lakas, A. (2023). Decoding Multi-Class Motor Imagery and Motor Execution Tasks Using Riemannian Geometry Algorithms on Large EEG Datasets. Sensors (14248220), 23(11), 5051. https://doi.org/10.3390/s23115051
Chicago
Shuqfa, Zaid, Abdelkader Nasreddine Belkacem, and Abderrahmane Lakas. 2023. “Decoding Multi-Class Motor Imagery and Motor Execution Tasks Using Riemannian Geometry Algorithms on Large EEG Datasets.” Sensors (14248220) 23 (11): 5051. doi:10.3390/s23115051.