高军峰
2015-03-25
姓 名高军峰
出生年月日1973.12
民 族汉族
职 称副教授
学科专业生物医学工程
研究方向生物医学信号处理；模式识别
电 话**
电子邮箱Junfengmst@163.com
简历
2007.09-2011.03 西安交通大学生命科学与技术学院（生物医学工程，工学博士）

2011.08- 至今 中南民族大学 教师;
1. 基于少次刺激脑电的测谎技术研究（国家自然科学基金项目，No. **）。2013.01-2016.12。主持， 65万。

2. 基于EEG-fMRI信息特征融合的测谎技术研究（中国博士后科学基金面上资助项目, No: ）2014.6-2015.6。主持，5万。

3. 基于少次刺激脑电的测谎技术研究（中国博士后科学基金面上资助项目, No: 2011M501296）2011.10-2013.10。主持，3万。

近年代表性研究成果
[1] Junfeng Gao, Zhao Wang, Yong Yang, et al., A Novel Approach for Lie Detection Based on F-score and Extreme Learning Machine. PLOS ONE. 2013, 8(6): 1-12 (SCI： ).IF：3.73

[2] Junfeng Gao, Hongjun Tian, Yong Yang et al., A Novel Algorithm to Enhance P300 in Single Trials：Application to Lie Detection Using F-score and SVM. PLOS ONE. 2014, 9(11): 1-15 (SCI： ).IF：3.73

[3] Junfeng Gao, Yong Yang, Pan Lin, Pei Wang and Chongxun Zheng. Automatic Removal of Eye-movement and Blink Artifacts from EEG Signals [J]. Brain Topography, 2010, 23 (1): 105-114. (SCI: 552SR).IF：3.67

[4] Junfeng Gao, Chongxun Zheng and Pei Wang. Online Removal of Muscle Artifact from Electroencephalograms Signals Based on Canonical Correlation Analysis [J]. CLINICAL EEG and NEUROSCIENCE. 2010, 41 (1): 53-59. (SCI: 559NK). IF：3.16

[5] Junfeng Gao, Pan Lin, Yong Yang, Pei Wang and Chongxun Zheng. Real-time Removal of Ocular Artifacts from EEG based on Independent Component Analysis and Manifold Learning [J]. Neural Computing and Applications, 2010, 19 (8):1217-1226. (SCI ：666BB). IF:1.17

[6]Junfeng Gao, Yong Yang, Jiancheng Sun, Gang Yu. Automatic Removal of Various Artifacts from EEG Signals Using Combined Methods [J]. Journal of Clinical Neurophysiology, 2010, 27 (5): 312-320. (SCI：656UE).IF:1.45

[7] Junfeng Gao, Xiangguo Yan, Jiancheng Sun, Chongxun Zheng. Denoised P300 and machine learning-based concealed information test method [J]. Computer Methods and Programs in Biomedicine, 2011.104(3):410-417 (SCI: 858VY) IF:1.55

[8] Junfeng Gao, Liang Lu, Yong Yang, et al. A Novel Concealed Information Test Method Based on Independent Component Analysis and Support Vector Machine [J]. CLINICAL EEG and NEUROSCIENCE, 2012, 43(1): 54-63 (SCI：952FT).IF：3.16