Zhao, D.; Li, S.; Wang, P.; Wu, P.; Li, Z.; Du, L.; Chen, X.; Yang, T.; Xia, J.; Fang, Z.
Time–Frequency Respiratory Impedance Maps Enable Within-Breath Deep Learning for Small Airway Dysfunction Identification. Bioengineering 2026, 13, 280.
https://doi.org/10.3390/bioengineering13030280
AMA Style
Zhao D, Li S, Wang P, Wu P, Li Z, Du L, Chen X, Yang T, Xia J, Fang Z.
Time–Frequency Respiratory Impedance Maps Enable Within-Breath Deep Learning for Small Airway Dysfunction Identification. Bioengineering. 2026; 13(3):280.
https://doi.org/10.3390/bioengineering13030280
Chicago/Turabian Style
Zhao, Dongfang, Sunxiaohe Li, Peng Wang, Pang Wu, Zhenfeng Li, Lidong Du, Xianxiang Chen, Ting Yang, Jingen Xia, and Zhen Fang.
2026. "Time–Frequency Respiratory Impedance Maps Enable Within-Breath Deep Learning for Small Airway Dysfunction Identification" Bioengineering 13, no. 3: 280.
https://doi.org/10.3390/bioengineering13030280
APA Style
Zhao, D., Li, S., Wang, P., Wu, P., Li, Z., Du, L., Chen, X., Yang, T., Xia, J., & Fang, Z.
(2026). Time–Frequency Respiratory Impedance Maps Enable Within-Breath Deep Learning for Small Airway Dysfunction Identification. Bioengineering, 13(3), 280.
https://doi.org/10.3390/bioengineering13030280