Cite
TFFormer: A Time–Frequency Information Fusion-Based CNN-Transformer Model for OSA Detection With Single-Lead ECG
MLA
Li, Chengjian, et al. “TFFormer: A Time–Frequency Information Fusion-Based CNN-Transformer Model for OSA Detection With Single-Lead ECG.” IEEE Transactions on Instrumentation and Measurement, vol. 72, no. 1, Jan. 2023, pp. 1–17. EBSCOhost, https://doi.org/10.1109/TIM.2023.3312472.
APA
Li, C., Shi, Z., Zhou, L., Zhang, Z., Wu, C., Ren, X., Hei, X., Zhao, M., Zhang, Y., Liu, H., You, Z., & He, L. (2023). TFFormer: A Time–Frequency Information Fusion-Based CNN-Transformer Model for OSA Detection With Single-Lead ECG. IEEE Transactions on Instrumentation and Measurement, 72(1), 1–17. https://doi.org/10.1109/TIM.2023.3312472
Chicago
Li, Chengjian, Zhenghao Shi, Liang Zhou, Zhijun Zhang, Chenwei Wu, Xiaoyong Ren, Xinhong Hei, et al. 2023. “TFFormer: A Time–Frequency Information Fusion-Based CNN-Transformer Model for OSA Detection With Single-Lead ECG.” IEEE Transactions on Instrumentation and Measurement 72 (1): 1–17. doi:10.1109/TIM.2023.3312472.