徐舫舟简介

来源:3003com必赢发布时间:2024-03-07浏览次数:1475

   

 徐舫舟,副教授,硕士生导师。国家科技部脑科学专家库专家,山东省高等学校青年创新团队“人机协同智能康复团队”负责人,山东大学齐鲁医院山东省智能康复工程实验室学术委员会委员,山东大学智能康复装备技术研究中心特聘教授,济南市人机智能协同工程实验室负责人。2014年获得山东大学通信与信息系统专业工学博士学位,2011年至2012年清华大学联培博士,2019年至2020年美国加州大学圣地亚哥分校University of CaliforniaSan Diego(UCSD)访问学者。作为负责人联合山东大学齐鲁医院康复医学科室成立智能康复实验室,联合电子科技大学构建智能信息处理联合实验室,联合天津大学构建神经工程与脑机接口实验室。主持完成国家自然科学基金项目1项,山东省高等学校青创科技计划1项,横向项目4项。主持山东省自然基金面上项目1项,协同育人项目3项。在NNIEEE TNSREIJNS等国内外重要SCI期刊以第一作者或通信作者发表论文8篇,出版专著1部。授权国际专利1项,实用新型1项。指导学生获得国家级奖项6项。

研究方向:脑机接口、脑电人工智能算法、神经与康复工程、边缘计算、机器视觉

承担科研项目情况

  1. 山东省自然基金面上项目,ZR2022MF289,基于脑机接口的脊髓损伤临床康复机制研究,2023.01-2025.1210万元,1/8,负责人

  2. 山东省高等学校“青创科技计划”,2019KJN010,人机协同智能康复平台,2020.01-2022.1218万元,1/6,负责人

  3. 国家自然科学基金项目,61701270,用于运动想象的脑机接口深度学习模型的高效算法研究,2018.01-2020.1229.16万元,1/7,负责人

  4. 横向项目,QL2020239,基于边缘智能网关的心脑血管疾病监测系统的研发与应用,2020.12-2021.0215万元,1/5,负责人

部分代表性论文

  1. Fangzhou Xu, Yihao Yan, Jianqun Zhu, Xinyi Chen, Licai Gao, Yanbing Liu,Weiyou Shi, Yitai Lou, Wei Wang, Jiancai Leng,and Yang Zhang, Self-supervised eeg representation learning with contrastive predictive coding for post-stroke[J]. International Journal of Neural Systems, 2023.

  2. Fangzhou Xu, Chongfeng Wang, Xin Yu, Jinzhao Zhao, Ming Liu, Jiaqi Zhao, Licai Gao, Xiuquan Jiang, Zhaoxin Zhu,Yongjian Wu, Dezheng Wang, Shanxin Feng, Sen Yin,Yang Zhang, and Jiancai Leng, One-dimensin local binary pattern and common spatial pattern feature fusion brain network for central neuropathic pain[J], International Journal of Neural Systems,2023, 33(6):2350030.

  3. Jiancai Leng , Jianqun Zhu , Yihao Yan , Xin Yu , Ming Liu, Yitai Lou , Yanbing Liu , Licai Gao , Yuan Sun , Tianzheng He , Qingbo Yang , Chao Feng , Dezheng Wang , Yang Zhang, Qing Xu, and Fangzhou Xu(通讯作者), Multi-Level Laser Induced Pain Measurement With Wasserstein Generative Adversarial Network-Gradient Penalty Model[J]. International Journal of Neural Systems, 2023.

  4. Jiancai Leng, Xinyi Chen, Jinzhao Zhao, Chongfeng Wang, Jianqun Zhu, Yihao Yan, Jiaqi Zhao, Weiyou Shi, Zhaoxin Zhu, Xiuquan Jiang, Yitai Lou, Chao Feng, Qingbo Yang, and Fangzhou Xu(通讯作者), A Light Vehicle License-Plate-Recognition System Based on Hybrid Edge–Cloud Computing[J]. Sensors, 2023, 23(21): 8913.  

  5. Fangzhou Xu, Jinzhao Zhao, Ming Liu, Xin Yu, Chongfeng Wang, Yitai Lou, Weiyou Shi, Yanbing Liu, Licai Gao, Qingbo Yang, Baokun Zhang, Shanshan Lu, Jiyou Tang and Jiancai Leng, Exploration of sleep function connection and classification strategies based on subperiod sleep stages[J], Frontiers in Neuroscience, 2022, 16: 1088116.

  6. Han Li, Ming Liu, Xin Yu, JianQun Zhu, Chongfeng Wang, Xinyi Chen, Chao Feng, Jiancai Leng, Yang Zhang and Fangzhou Xu(通讯作者), Coherence based graph convolution network for motor imagery-induced EEG after spinal cord injury[J], Frontiers in Neuroscience, 2022; 16: 1097660.

  7. Fangzhou Xu, Jincheng Li, Gege Dong, Jianfei Li, Xinyi Chen, Jianqun Zhu, Jinglu Hu, Yang Zhang, Shouwei Yue, Dong Wen, Jiancai Leng, EEG decoding method based on multi-feature information fusion for spinal cord injury, Neural Networks, 2022, 156: 135-151.

  8. Fangzhou Xu,Gege Dong, Jincheng Li, Qingbo Yang, Lei Wang, Yanna Zhao, Yihao Yan, Jinzhao Zhao, Shaopeng Pang, Dongju Guo, Yang Zhang, Jiancai Leng, Deep convolution generative adversarial network based electroencephalogram data augmentation for post-stroke patients with motor imagery[J], International Journal of Neural Systems, 2022, 32(9):2250039.

  9. Fangzhou Xu, Yuandong Wang, Han Li, Xin Yu, Chongfeng Wang, Ming Liu, Lin Jiang, Chao Feng, Jianfei Li, Dezheng Wang, Zhiguo Yan, Yang Zhang and Jiancai Leng, Time-varying effective connectivity for describing the dynamic brain networks of post-stroke rehabilitation[J], Frontiers in Aging Neuroscience, 2022, 14:911513

  10. Fangzhou Xu, Xiaoyan Xu, Yanan Sun, Jincheng Li,Gege Dong, Yuandong Wang, Han Li, Lei Wang,Yingchun Zhang, Shaopeng Pang, Sen Yin, A framework for motor imagery with LSTM neural network[J]. Computer Methods and Programs in Biomedicine, 2022, 218:106692.

  11. Fangzhou Xu,Fenqi Rong, Jiancai Leng, Tao Sun, Yang Zhang, Siddharth Siddharth, Tzyy-Ping Jung, Classification of left-versus right-hand motor imagery in stroke patients using supplementary data generated by CycleGAN[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29:2417-2424.

  12. Fangzhou Xu,Yunjing Miao, Yanan Sun, Dongju Guo, Jiali Xu, Yuandong Wang, Jincheng Li, Han Li, Gege Dong, Fenqi Rong, Jiancai Leng, Yang Zhang, A transfer learning framework based on motor imagery rehabilitation for stroke[J]. Scientific Reports, 2021, 11(1):1-9.

  13. Fangzhou Xu, Fenqi Rong, Yunjing Miao, Yanan Sun, Gege Dong, Han Li, Jincheng Li, Yuandong Wang and Jiancai Leng, Representation learning for motor imagery recognition with deep neural network, Electronics, 2021, 10(2): 112.

代表性授权专利

  1. 徐舫舟,董格格,李金城,颜怡好,王崇峰,赵金朝,刘铭,岳寿伟,张杨,丁旭,一种基于意念控制机械外骨骼的脑卒中康复训练系统,国际专利,专利号:202110065705.1

  2. 冯厚强、郑力文、冷建材、杨清波、徐舫舟,一种机械臂监控装置,中国专利,专利号:ZL202022941808.3

联系方式

E-mailxfz@qlu.edu.cn