杨明静，博士，副教授，硕导： 现任福州大学物理与信息工程学院电子信息工程系副主任。1999年获浙江大学生物医学硕士学位后到福州大学物理与信息工程学院任教，继续深造于2012年获英国阿尔斯特大学计算机博士学位。多年来主要从事人工智能医学信息处理方面的科研工作。目前以第一或通讯作者发表期刊和会议论文10余篇。主要研究方向为机器学习医学信息处理与分析，承担和参与多项国家级省厅级别科研项目。
欢迎有志于科研的优秀本科生、硕士研究生加入团队。
招生专业：
学术型硕士：信号与信息处理；
专业型硕士：电子信息工程； 通讯地址：福建省福州市大学城学院路2号福州大学物理与信息工程学院
实验室地址：福州大学物理北楼313； 邮箱：yangmj5@fzu.edu.cn 教育经历：
1、2008-2012 博士 英国阿尔斯特大学 计算机与数学系 计算机
2、1996-1999 硕士 浙江大学 生物医学工程与仪器系 生物医学工程
3、1991-1996 本科 浙江大学 生物医学工程与仪器系 生物医学工程
工作经历： 1999.7-至今 福州大学物理与信息工程学院 电子信息工程系 承担部分科研课题情况 ： 1 2021J01578 知识驱动的融合多源异构信息挖掘早期帕金森病影像特征研究 10 福建省自然科学面上基金 2021-2024 1 2019Y9070 基于深度学习的多模态磁共振帕金森病早期诊断标志物及机制研究 40万 福建省自然科学面上基金 2020-2023年 2 2018I0011 基于肌肉阻抗描记法的穿戴式肌肉疲劳程度检测技术合作研究 15万 福建省科技计划项目 2018-2021年 3 61401100 无线体域网中以非线性技术抑制强窄带干扰的超宽带接收机的研究 30万元 国家基金青年项目 2015-2017年 4 LXKQ201501 面向体域网融合超宽带传感器和惯性传感器的步态分析方法研究 3.5万 留学归国人员启动基金 2015-2018年 5 2013 H4002 新一代高性能低成本低功耗桌面云终端 GM810 100万 福建省科技厅区域科技重大项目 2013-2014 6 12CX-17 基于云计算环境下的高清网络摄像头重定向设备 15万 福州市科技局 2012-2013 部分出版论文： 1. Wei, Z.; Wen, Y.; Gao, Y.; Yang, M.; Yang, J.; Pun, S.H.; Vai, M.I; Du, M. A Time-Frequency Measurement and Evaluation Approach for Body Channel Characteristics in Galvanic Coupling Intrabody Communication. Sensors 2021, 21, 348. 2. Mingjing Yang, Huiru Zheng, Haiying Wang, Sally McClean, Dave Newell “iGAIT: An Interactive Accelerometer Based Gait Analysis System”, Computer Methods and Programs in Biomedicine, Vol 108, No 2, pp:715-23, 2012 Nov. 3. M.J. Yang, H. R. Zheng, H. Y. Wang, S. McClean, J. Hall and N. Harris, “A machine learning approach to assessing gait patterns for Complex Regional Pain Syndrome ”, Medical Engineering & Physics ，Vol. 34, p740-746, 2012 4. M. Yang，H.Chan，H. R. Zheng, “Feasibility study on Gait monitoring and assessment using smart mobile phones”, INTERNATIONAL JOURNAL OF INTEGRATED CARE, vol: 11 No: 2 , 2011 5. H.Chan, M.J. Yang, H.Y. Wang, H.R. Zheng, S. McClean, R. Sterritt, and R.E. Mayagoitia, “Assessing Gait Patterns of Healthy Adults Climbing Stairs: a Machine Learning and Statistical Approach,” International Journal of Intelligent Systems 28 (3): 257-270，2013。 6. M. Yang, H. R. Zheng, H. Y. Wang, S. McClean and N. Harris, “Assessing the utility of smart mobile phones in gait pattern analysis”, Health and Technology , Volume 2, Number 1, pp.81-88, 2012。 7. M.J. Yang, H. Zhang, H. R. Zheng, H. Y. Wang, and Q. Lin, “Mutual Information-Based Approach to the Analysis of Dynamic Electrocardiograms”, Technology and Health Care, vol. 16, pp. 1-9, 2008. 8. H. R. Zheng, M. J. Yang, H. Y. Wang, S. McClean, “Machine Learning and Statistical Approaches to Support the Discrimination of Neuro-Degenerative Diseases Based on Gait Analysis”, in Intelligent Patient Management. Sally McClean, Peter Millard, Elia El-Darzi, C. D. Nugent Ed. Springer, 2009, pp 57-70. 9. 杨明静, 张娟, 张辉, “主动脉瓣膜心舒张期振动仿真”, 生物医学工程学杂志, 2001, 18(4):557~560. 10. Zhen Zhang, Chenyu Liu, Wangbin Ding, Sihan Wang, Chenhao Pei, Mingjing Yang*, Liqin Huang. Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images. MyoPS Workshop of International Conference on Medical Image Computing and Computer-Assisted Intervention(MICCAI 2020). Springer, Cham, 2020. 11. Z. Wei, W. Chen, M. Yang, Y. Gao, Ž. L. Vasić and M. Cifrek, "Design and Implementation of Galvanic Coupling Intra-Body Communication Transceivers using Differential Phase Shift Keying," 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Dubrovnik, Croatia, 2020, pp. 1-6. 12. Geng An, Graham McCalmont, Philip Morrow, Mingjing Yang*, et al,“Feasibility Study of a Smart Insole based AI Gait Assistant System”, BIBE2019, June 20-22, 2019, Hangzhou, China. 13. M. J. Yang, H. Zheng, H. Wang and S. McClean, “Statistical and machine learning approach to assessing the environmental impact on walking patterns”, IEEE International Conference on Data Mining ,December 14-17, 2014, Shenzhen, China. 14. M. Yang, H. Zheng, H. Wang and S. McClean, “Assessing Accelerometer Based Gait Features to Support Gait Analysis for People with Complex Regional Pain Syndrome”, PETRA’10, June 23-25,2010, Samos, Greece. 15. M. Yang, H. R. Zheng, H. Y. Wang, S. McClean and N. Harris, “A Combination of Feature Ranking with PCA: an Application to Gait”, 2010 International Conference on Machine Learning and Cybernetics, July 15-17, 2010, Qindao, China. 16. M. J. Yang, H. R. Zheng, H. Y. Wang, S. McClean, “Feature Selection and Construction for the Discrimination of Neurodegenerative Diseases Based on Gait Analysis”, Proceedings of 3rd International ICST Conference on Pervasive Computing Technologies for Healthcare 2009, London UK, April 2009. 17. MJ Yang, H Zhang, Q Lin, “Application of Nonlinear Dynamics In ECG Analysis”, in the Proceedings of international Conference on Medical Imaging and Informatics, Aug. 2007, Beijing, China, pp.192-198. 18. MJ Yang, “Correlation Dimensions and Entropy of Series in Electrocardiogram”，in the Proceeding of the 27th Annual International Conference of the IEEE-EMBS, 2005, Shanghai, China. 19. MJ Yang, “Emulate the Vibration of closed Aortic Valve During Early Diastole”, in the Proceedings of IEEE-EMBS Asia-Pacific Conference on Biomedical Engineering, Sep, 2000, Hangzhou, China, pp.342-343. 20. H. Chan, H. Zheng, H. Wang, R. Gawley, M. Yang and R.Sterritt, “Feasibility study on iPhone Accelerometer for Gait Analysis,” presented at The 5th International ICST Conference on Pervasive Computing Technologies for Healthcare, Dublin, May 2011. 21. H. Chan, M. Yang, H. Zheng, H. Wang, R. Sterritt, S. McClean and R. E. Mayagoitia, “Machine Learning and Statistical Approaches to Assessing Gait Patterns of Younger and Older Healthy Adults Climbing Stairs,” The 7th International Conference on Natural Computation, Shanghai, July 2011. 授权专利： 1、 一种虚拟桌面与物理桌面公用镜像的智能网络流桌面方法 发明专利 2017-11-17 福州大学 2、 基于windows显示体系下与小端口驱动通信方法 发明专利 2017-12-05 福州大学 |
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