APA (7th ed.) Citation

Yu, M., Huang, Z., Zhu, Y., Zhou, P., & Zhu, J. (2022). Attention-based residual improved U-Net model for continuous blood pressure monitoring by using photoplethysmography signal. Biomedical signal processing and control, 75, 103581. https://doi.org/10.1016/j.bspc.2022.103581

Chicago Style (17th ed.) Citation

Yu, Mingzheng, Zhiwen Huang, Yidan Zhu, Panyu Zhou, and Jianmin Zhu. "Attention-based Residual Improved U-Net Model for Continuous Blood Pressure Monitoring by Using Photoplethysmography Signal." Biomedical Signal Processing and Control 75 (2022): 103581. https://doi.org/10.1016/j.bspc.2022.103581.

MLA (9th ed.) Citation

Yu, Mingzheng, et al. "Attention-based Residual Improved U-Net Model for Continuous Blood Pressure Monitoring by Using Photoplethysmography Signal." Biomedical Signal Processing and Control, vol. 75, 2022, p. 103581, https://doi.org/10.1016/j.bspc.2022.103581.

Warning: These citations may not always be 100% accurate.