Cite
Machine-learning enabled wireless wearable sensors to study individuality of respiratory behaviors.
MLA
Chen, Ang, et al. “Machine-Learning Enabled Wireless Wearable Sensors to Study Individuality of Respiratory Behaviors.” Biosensors & Bioelectronics, vol. 173, Feb. 2021, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.bios.2020.112799.
APA
Chen, A., Zhang, J., Zhao, L., Rhoades, R. D., Kim, D.-Y., Wu, N., Liang, J., & Chae, J. (2021). Machine-learning enabled wireless wearable sensors to study individuality of respiratory behaviors. Biosensors & Bioelectronics, 173, N.PAG. https://doi.org/10.1016/j.bios.2020.112799
Chicago
Chen, Ang, Jianwei Zhang, Liangkai Zhao, Rachel Diane Rhoades, Dong-Yun Kim, Ning Wu, Jianming Liang, and Junseok Chae. 2021. “Machine-Learning Enabled Wireless Wearable Sensors to Study Individuality of Respiratory Behaviors.” Biosensors & Bioelectronics 173 (February): N.PAG. doi:10.1016/j.bios.2020.112799.