Cite
Automatic motion artifact detection in electrodermal activity signals using 1D U-net architecture.
MLA
Kong, Youngsun, et al. “Automatic Motion Artifact Detection in Electrodermal Activity Signals Using 1D U-Net Architecture.” Computers in Biology and Medicine, vol. 182, Sept. 2024, p. 109139. EBSCOhost, https://doi.org/10.1016/j.compbiomed.2024.109139.
APA
Kong, Y., Hossain, M. B., Peitzsch, A., Posada-Quintero, H. F., & Chon, K. H. (2024). Automatic motion artifact detection in electrodermal activity signals using 1D U-net architecture. Computers in Biology and Medicine, 182, 109139. https://doi.org/10.1016/j.compbiomed.2024.109139
Chicago
Kong, Youngsun, Md Billal Hossain, Andrew Peitzsch, Hugo F Posada-Quintero, and Ki H Chon. 2024. “Automatic Motion Artifact Detection in Electrodermal Activity Signals Using 1D U-Net Architecture.” Computers in Biology and Medicine 182 (September): 109139. doi:10.1016/j.compbiomed.2024.109139.