宾光宇 副教授 博士生导师
E-mail：guangyubin@bjut.edu.cn
教育背景
本科 西安交通大学电气工程与自动化专业
硕士 西安交通大学生物医学工程专业
博士 清华大学生物医学工程专业
工作经历
2012年-至今 威尼斯wns.8885556
研究方向
长期从事生理信号的智能分析和医疗设备的研发
主要研究方向包括：脑电信号处理、脑机接口、心电信号分析、穿戴式医疗设备、肺阻抗成像、心阻抗图等
奖项荣誉
论文被引用2000余次，连续8年入选爱思唯尔中国高被引学者名单
主要科研项目
主持项目：
2021-2023军科委166项目，150万
2019-2021国防科技创新特区项目，80万
2018-2021心血管多参数检测设备及相关算法，横向课题，40万
2014-2015 北京市中小学生运动过程实时心率采集的可行性研究，北京市科委项目，40万
2012-2014 脑-机接口反馈过程中的大脑功能成像研究，国家自然科学基金，26万
2016-2017 心率数据库和测试标准技术合作项目，华为公司横向课题，25万
参与项目：
2016-2018 基于子宫肌电的早产预测研究，比尔及梅林达·盖茨基金，270万
2016-2019 智能穿戴式心电监测医疗设备份研发生产，横向课题，260万
2016-2018 基于物联网和云计算平台的老人家庭远程监护系统研究，国家自然科学基金，197万
主要论文论著
[1] Zeng, Y., Tsui, P. H., Pang, K., Bin, G., Li, J., Lv, K., ... & Zhou, Z. . MAEF-Net: Multi-attention efficient feature fusion network for left ventricular segmentation and quantitative analysis in two-dimensional echocardiography. Ultrasonics, 127, 106855, 2023
[2] R. Yu, Z. Zhou, S. Wu, X. Gao, and G. Bin, "MRASleepNet: a multi-resolution attention network for sleep stage classification using single-channel EEG," Journal of Neural Engineering, vol. 19, no. 6, p. 066025, 2022.
[3] L. Liang, G. Bin, X. Chen, Y. Wang, S. Gao, and X. Gao, "Optimizing a left and right visual field biphasic stimulation paradigm for SSVEP-based BCIs with hairless region behind the ear," Journal of Neural Engineering, vol. 18, no. 6, p. 066040, 2021.
[4] M. Shao, Z. Zhou, G. Bin, Y. Bai, and S. Wu, "A wearable electrocardiogram telemonitoring system for atrial fibrillation detection," Sensors, vol. 20, no. 3, p. 606, 2020.
[5] G. Bin, S. Wu, M. Shao, Z. Zhou, and G. Bin, "IRN-MLSQR: An improved iterative reweight norm approach to the inverse problem of electrocardiography incorporating factorization-free preconditioned LSQR," Journal of Electrocardiology, vol. 62, pp. 190-199, 2020.
[6] M. Shao, G. Bin, S. Wu, G. Bin, J. Huang, and Z. Zhou, "Detection of atrial fibrillation from ECG recordings using decision tree ensemble with multi-level features," Physiological measurement, vol. 39, no. 9, p. 094008, 2018.
[7] G. Bin, M. Shao, G. Bin, J. Huang, D. Zheng, and S. Wu, "Detection of atrial fibrillation using decision tree ensemble," in 2017 Computing in Cardiology (CinC), 2017: IEEE, pp. 1-4.
[8] Q. Fu, G. Bin, Z. Dienes, X. Fu, and X. Gao, "Learning without consciously knowing: Evidence from event-related potentials in sequence learning," Consciousness and cognition, vol. 22, no. 1, pp. 22-34, 2013.
[9] G. Bin, X. Gao, Y. Wang, Y. Li, B. Hong, and S. Gao, "A high-speed BCI based on code modulation VEP," Journal of neural engineering, vol. 8, no. 2, p. 025015, 2011.
[10] G. Bin, X. Gao, Z. Yan, B. Hong, and S. Gao, "An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method," Journal of neural engineering, vol. 6, no. 4, p. 046002, 2009.
[11] G. Bin, X. Gao, Y. Wang, B. Hong, and S. Gao, "VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier]," IEEE Computational Intelligence Magazine, vol. 4, no. 4, pp. 22-26, 2009.
