袁琦，男，1986年10月出生，博士，副教授，硕士生导师，澳大利亚 悉尼大学访问学者。2014年毕业于山东大学信息科学与工程学院（硕博连读），获信号与信息处理工学博士学位，并荣获山东大学2014届优秀毕业生，同年入职山东师范大学环球ug登录网站。
招生方向
硕士研究生招生专业：信号与信息处理、新一代电子信息技术
研究方向
生物医学信息处理及应用
主持科研项目
1.国家自然科学基金青年科学基金项目
2.山东省自然科学基金面上项目
3.山东省自然科学基金培养基金项目
4.中国博士后科学基金面上资助
论文成果
1. Xin Ding, Weiwei Nie, Xinyu Liu, Xiuying Wang*, Qi Yuan*. Compact convolutional neural network with multi-headed attention mechanism for seizure prediction. International Journal of Neural Systems, 2023, 33 (3): 2350014. (SCI)
2. Xinyu Liu, Xin Ding, Jianping Liu, Weiwei Nie*, Qi Yuan*. Automatic focal EEG identification based on deep reinforcement learning. Biomedical Signal Processing and Control, 2023, 83: 104693. (SCI)
3. Jiazheng Zhou, Li Liu, Yan Leng, Yuying Yang, Bin Gao, Zonghong Jiang, Weiwei Nie*, Qi Yuan*. Both cross-patient and patient-specific seizure detection based on self-organizing fuzzy logic. International Journal of Neural Systems, 2022, 32(6): 2250017. (SCI)
4. Bin Gao, Jiazheng Zhou, Yuying Yang, Jinxin Chi, Qi Yuan*. Generative adversarial network and convolutional neural network-based EEG imbalanced classification model for seizure detection. Biocybernetics and Biomedical Engineering, 2022, 42: 1-15. (SCI)
5. 费洪磊, 袁琦*, 郑玉叶. 基于深度学习的癫痫脑电不平衡分类方法. 仪器仪表学报, 2021, 42(3): 231-240.
6. Xinmei Hu, Shasha Yuan, Fangzhou Xu, Yan Leng, Kejiang Yuan*, Qi Yuan*. Scalp EEG classifcation using deep Bi-LSTM network for seizure detection. Computers in Biology and Medicine, 2020, 124: 103919. (SCI)
7. 曲桂果, 袁琦*, 李彦. 基于深度网络迁移学习的致痫区脑电识别. 仪器仪表学报, 2020, 41(5): 164-173.
8. Chengfa Sun, Hui Cui, Weidong Zhou, Weiwei Nie, Xiuying Wang*, Qi Yuan*. Epileptic seizure detection with EEG textural features and imbalanced classification based on EasyEnsemble learning. International Journal of Neural Systems, 2019, 29(10): 1950021. (SCI)
9. Zuyi Yu, Weidong Zhou, Fan Zhang, Fangzhou Xu, Shasha Yuan, Yan Leng, Yang Li, Qi Yuan*. Automatic seizure detection based on kernel robust probabilistic collaborative representation. Medical & Biological Engineering & Computing, 2019, 57: 205-219. (SCI)
10. Qi Yuan, Weidong Zhou, Fangzhou Xu, Yan Leng, Dongmei Wei. Epileptic EEG Identification via LBP Operators on Wavelet Coefficients. International Journal of Neural Systems, 2018, 28(8): 1850010. (SCI)
11. Qi Yuan, Weidong Zhou, Liren Zhang, Fan Zhang, Fangzhou Xu, Yan Leng, Dongmei Wei, Meina Chen. Epileptic seizure detection based on imbalanced classification and wavelet packet transform. Seizure-European Journal of Epilepsy, 2017, 50: 99-108. (SCI)
12. Qi Yuan, Dongmei Wei. A seizure prediction method based on efficient features and BLDA. IEEE International Conference on Digital Signal Processing, Singapore, 2015: 177-181. (EI)
13. Qi Yuan, Weidong Zhou, Shasha Yuan, Xueli Li, Jiwen Wang, Guijuan Jia. Epileptic EEG classification based on kernel sparse representation. International Journal of Neural Systems, 2014, 24(4): 1450015. (SCI)
14. Qi Yuan, Weidong Zhou, Yinxia Liu, Jiwen Wang. Epileptic seizure detection with linear and nonlinear features. Epilepsy & Behavior, 2012, 24(4): 415-421. (SCI)
15. Qi Yuan, Weidong Zhou, Jing Zhang, Shufang Li, Dongmei Cai, Yanjun Zeng. EEG classification approach based on the extreme learning machine and wavelet transform. Clinical EEG and Neuroscience, 2012, 43(2): 127-132. (SCI)
16. Qi Yuan, Weidong Zhou, Shufang Li, Dongmei Cai. Epileptic EEG classification based on extreme learning machine and nonlinear features. Epilepsy Research, 2011, 96(1-2): 29-38. (SCI)
17. 袁琦, 周卫东, 李淑芳, 蔡冬梅. 基于ELM和近似熵的脑电信号检测方法. 仪器仪表学报, 2012, 33(3): 514-519.
18. Fangzhou Xu, Weidong Zhou, Yilin Zhen, Qi Yuan, Qi Wu. Using fractal and local binary pattern features for classification of ECOG motor imagery tasks obtained from the right brain hemisphere. International Journal of Neural Systems, 2016, 26(6): 1650022. (SCI)
19. Shasha Yuan, Weidong Zhou, Qi Yuan, Xueli Li, Qi Wu, Xiuhe Zhao, Jiwen Wang. Kernel collaborative representation-based automatic seizure detection in intracranial EEG. International Journal of Neural Systems, 2015, 25(2): 1550003. (SCI)
20. Yudan Xia, Weidong Zhou, Chengcheng Li, Qi Yuan, Shujuan Geng. Seizure detection approach using S-transform and singular value decomposition. Epilepsy & Behavior, 2015, 52: 187-193. (SCI)
21. Aiyu Yan, Weidong Zhou, Qi Yuan, Shasha Yuan, Qi Wu, Xiuhe Zhao, Jiwen Wang. Automatic seizure detection using Stockwell transform and boosting algorithm for long-term EEG. Epilepsy & Behavior, 2015, 45: 8-14. (SCI)
22. Yanli Zhang, Weidong Zhou, Shasha Yuan, Qi Yuan. Seizure detection method based on fractal dimension and gradient boosting. Epilepsy & Behavior, 2015, 43: 30-38. (SCI)
23. Yanli Zhang, Weidong Zhou, Qi Yuan, Qi Wu. A low computation cost method for seizure prediction. Epilepsy Research, 2014, 108(8): 1357-1366. (SCI)
24. Shasha Yuan, Weidong Zhou, Qi Yuan, Yanli Zhang, Qingfang Meng. Automatic seizure detection using diffusion distance and BLDA in intracranial EEG. Epilepsy & Behavior, 2014, 31: 339-345. (SCI)
25. Yu Wang, Weidong Zhou, Qi Yuan, Xueli Li, Qingfang Meng, Xiuhe Zhao, Jiwen Wang. Comparison of ictal and interictal EEG signals using fractal features. International Journal of Neural Systems, 2013, 23(6): 1350028. (SCI)
26. Weidong Zhou, Yinxia Liu, Qi Yuan, Xueli Li.Epileptic seizure detection using lacunarity and bayesian linear discriminant analysis in intracranial EEG. IEEE Transactions on Biomedical Engineering,2013, 60(12): 3375-3381.(SCI)
27. Shufang Li, Weidong Zhou, Qi Yuan, Yinxia Liu. Seizure prediction using spike rate of intracranial EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2013, 21(6): 880-886.(SCI)
28. Shufang Li, Weidong Zhou, Qi Yuan, Shujuan Geng, Dongmei Cai. Feature extraction and recognition of ictal EEG using EMD and SVM. Computers in Biology and Medicine, 2013, 43(7): 807-816. (SCI)
29. Yinxia Liu, Weidong Zhou, Qi Yuan, Shuangshuang Chen. Automatic seizure detection using wavelet transform and SVM in long-term intracranial EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2012, 20(6): 749-755. (SCI)
30. Geng Shujuan, Zhou Weidong, Yuan Qi, Cai Dongmei, Zeng Yanjun. EEG non-linear feature extraction using correlation dimension and Hurst exponent. Neurological Research, 2011, 33(9): 908-912. (SCI)
