JN江南·(官方)官网入口-江南 SPORTS

机电工程与自动化学院
School of Mechatronic Engineering and Automation

PixCake

孙金燕 副教授

学历学位:博士研究生,博士学位

导师类别:硕士生导师

研究方向:采用机器学习和深度学习用于脑卒中和精神疾病的智能评估与康复

联系方式:393427294@qq.om, 18900820528

学习与工作经历

主要学习经历:
1、2004.09-2008.06
山东大学 生物医学工程 学士
2、2008.09-2013.06
华中科技大学 生物医学工程 博士(硕博连读)

工作经历:
1、2013.07-2018.06
广东医科大学讲师
2、2018.07-2022.06
佛山科学技术学院讲师
3、2022.06-今
佛山科学技术学院副教授

科研项目

主持:
(1)教育部,教育部产学合作协同育人项目,230803257282646,《多源信息融合识别抑郁症》的实践项目建设,2023.08-2024.08,5万元,主持,在研
(2)国家自然科学基金委员会,青年项目,32000980,基于纵向静息态脑网络的tDCS调控脑卒中运动恢复机制及效果预测研究,2021.01-2023.12,24万元,在研,主持
(3)广东省自然科学基金委,粤佛联合基金–地区培育项目,2022A1515140142,同步NIRS-EEG对脑卒中后肢体障碍的智能评估及神经康复方法研究,2022.10-2025.09,30万元,在研,主持
(4)广东省自然科学基金委,粤佛联合基金–青年项目,2019A1515110427,基于功能近红外光谱术对经颅磁刺激治疗抑郁障碍的脑网络机制研究,2020.1-2022.12,10万元,已结题,主持
(5)广东省教育厅,广东省普通高校特色创新项目,2018KTSCX246,柔性体内植入生物传感器研制,2019.6-2022.5,6万元,已结题,主持
参与:
(1)国家科技部,重点研发计划项目,2020YFC2004300,肢体运动功能障碍康复训练系统研制及训练模式研究,2020.07-2023.06,544万元,已结题,参与
(2)广东省教育厅,广东省普通高校重点实验室,2020KSYS001,智慧康复技术与装备重点实验室,2020.1-2023.12,70万元,在研,参与
(3)广东省自然科学基金委,粤佛联合基金–重点项目,2020B1515120014,光健康技术的神经机制及其在睡眠医学中的精准应用,2020.10-2023.09,100万元,在研,参与
(4)国家自然科学基金委员会,面上项目,82171533,基于神经振荡–外界节律同步化的老年抑郁症负向注意偏向机制研究及iTBS调控,2022.01-2024.12,54万元,在研,参与

论文成果

[1] Richong Pang#, Haojun Sang#, Li Yi, Chenyang Gao, Hongkai Xu, Yanzhao Wei*, Lei Zhang*, Jinyan Sun*, Working memory load recognition with deep learning time series classification. Biomedical Optics Express, 2024.(SCI,中科院二区)
[2] Guangjian Shao, Gongcheng Xu, Congcong Huo, Zichao Nie, Yizheng Zhang, Li Yi, Dongyang Wang, Zhiyong Shao, Shanfan Weng*, Jinyan Sun*, and Zengyong Li*, Effect of the VR-guided grasping task on the brain functional network. Biomedical Optics Express, 2024, 15(1): 77-94.(SCI,中科院二区)
[3] Li Yi#, Guojun Xie#, Zhihao Li#, Xiaoling Li, Yizheng Zhang, Kai Wu, Guangjian Shao, Biliang Lv, Huan Jing, Chunguo Zhang, Wengting Liang, Jinyan Sun*, Zhifeng Hao*, Jiaquan Liang*, Automatic depression diagnosis through hybrid EEG and near-infrared spectroscopy features using support vector machine, Frontiers in Neuroscience, 2023, 17: 1205931 (SCI, 中科院二区top)
[4] Yizheng Zhang#, Dan Wang#, Dongyang Wang, Kecheng Yan, Li Yi, Shuoshu Lin, Guangjian Shao, Zhiyong Shao, Jinyan Sun*, Aoran Yang*, Motor network reorganization in stroke patients with dyskinesias during a shoulder-touching task: A fNIRS study, Journal of Innovative Optical Health Sciences, 2023, 2340003 (SCI, 中科院三区)
[5] Jianbin Liang#, Minjie Bian#, Hucheng Chen#, Kecheng Yan, Zhihao Li, Yanmei Qin, Dongyang Wang, Chunjie Zhu, Wenzhu Huang, Li Yi, Jinyan Sun*, Yurong Mao*, Zhifeng Hao*, Gradient Boosting DD-MLP Net: An ensemble learning model using near-infrared spectroscopy to classify after-stroke dyskinesia degree during exercise, Journal of Biophotonics, 2023 (SCI, 中科院二区)
[6] Shuoshu Lin#, Dan Wang#, Haojun Sang#, Hongjun Xiao, Kecheng Yan, Dongyang Wang, Yizheng Zhang, Li Yi, Guangjian Shao, Zhiyong Shao, Aoran Yang*, Lei Zhang*, Jinyan Sun*, Predicting post-stroke dyskinesia with resting-state functional connectivity in the motor network, Neurophotonics, 2023, 10(2): 025001 (SCI, 中科院二区)
[7] Dan Wang, Jie Wang, Hongbo Zhao, Yahui Liang, Wenyue Zhang, Mingxi Li, Hua Liu, Di Hu, Sibin Zhang, Enlong Xing, Ying Su, Wanchen Yu, Jinyan Sun*, Aoran Yang*, The relationship between the prefrontal cortex and limb motor function in stroke: A study based on resting-state functional near-infrared spectroscopy, Brain Research, 2023 (SCI,中科院三区)
[8] Hucheng Chen#, Jianbin Liang#, Wenzhu Huang, Anping Yang, Richong Pang, Chaochao Zhao, Kai Wu, Chong Wang, Kecheng Yan, Yizheng Zhang, Shuoshu Lin, Yuanrong Xie, Yuxiang Wu*, Jinyan Sun*, Age-related difference in muscle metabolism patterns during upper limb's encircling exercise: a near-infrared spectroscopy study, Biomedical Optics Express, 2022, 13(9): 4737-4751 (SCI, 中科院二区Top)
[9] Richong Pang#, Dan Wang#, Tara Scarlette Rosalyn Chen#, Anping Yang, Li Yi, Sisi Chen, Jie Wang, Kai Wu, Chaochao Zhao, Hua Liu, Yilong Ai*, Aoran Yang*, Jinyan Sun*, Reorganization of prefrontal network in stroke patients with dyskinesias: evidence from resting-state functional near-infrared spectroscopy, Journal of Biophotonics, 2022, 15 (7): e202200014 (SCI,中科院二区)
[10] Jinyan Sun*, Richong Pang, Sisi Chen, Hucheng Chen, Yuanrong Xie, Dandan Chen, Kai Wu, Jianbin Liang, Kecheng Yan, Zhifeng Hao*, Near-infrared spectroscopy as a promising tool in stroke: current applications and future perspectives, J Innov Opt Health Sci, 2021,14(6): 2130006 (SCI,中科院三区)
[11] Jinyan Sun#*, Dan Wang#, Richong Pang, Sisi Chen, Hua Liu, Jie Wang, Yuting Zhang, Congxiao Wang, and Aoran Yang, The behavioral significance of resting state network after stroke: a study via graph theory analysis with near-infrared spectroscopy. Medicine in Novel Technology and Devices, 2021, 11:100083
[12] Jinyan Sun#, Anping Yang#, Chaochao Zhao#, Fang Liu, Zhou Li*, Recent Progress of Nanogenerators Acting as Biomedical Sensors in vivo, Sci Bull, 2019, 64:1336–1347 (SCI,中科院一区Top)
[13] Jinyan Sun, Fang Liu, Haixian Wang, Anping Yang, Chenyang Gao, Zhicong Li, Xiangning Li*, Connectivity properties in the prefrontal cortex during working memory: A near-infrared spectroscopy study, J Biomed Opt, 2019, 24(5): 051410 (SCI)
[14] Jinyan Sun*, Linshang Rao, Chenyang Gao, Extracting heartrate from optical signal of functional near-infrared spectroscopy based on mathematical morphology, J Innov Opt Health Sci, 2018, 11(3): 1850010. (SCI)
[15] Jinyan Sun, Bailei Sun, Lei Zhang, Qingming Luo, Hui Gong*, Correlation between hemodynamic and electrophysiological signals dissociates neural correlates of conflict detection and resolution in a Stroop task: a simultaneous near-infrared spectroscopy and event-related potential study, J Biomed Opt, 2013, 18(9):096014. (SCI)
[16] Lei Zhang#, Jinyan Sun#, Bailei Sun, Chenyang Gao, and Hui Gong*, detecting bilateral functional connectivity in the prefrontal cortex during a Stroop task by near-infrared spectroscopy. J Innov Opt Health Sci, 2013, 6(4): 1350031. (SCI)
[17] Jinyan Sun, Bailei Sun, Bangde Wang, Hui Gong*, The processing bias for threatening cues revealed by event-related potential and event-related oscillation analyses, Neuroscience, 2012, 203:91-98. (SCI)

专利成果

授权专利:
1、发明专利,202111220079.5,一种基于肌氧反馈信息的康复训练评估方法及系统:梁健彬、孙金燕、郝志峰、陈虎城、杨安平
2、发明专利,20221129847.7,一种肢体功能障碍的多模态自适应评估系统及方法:孙金燕、张一正、王丹、杨安平、杨傲然

获奖情况

[1] 肢体运动功能障碍康复训练系统研发与应用示范,2023年度广东省测量控制与仪器仪表科学技术奖特等奖,排名第二
[2] 阿尔茨海默病早期预警与诊断系统研发及应用,2020年度广东省科学技术进步奖二等奖,排名第七
[3] 阿尔茨海默病早期预警与诊断系统研发及应用,2020年度中国仪器仪表学会科学技术进步奖二等奖,排名第七
[4] 第五届“泰迪杯”数据分析技能赛本科及以上组一等奖,2022年12月14日,指导老师
[5] 第六届“泰迪杯”数据分析技能赛本科及以上组二等奖,2023年12月8日,指导老师
[6] 佛山科学技术学院优秀教师,2023年

软著

[1] 功能近红外光谱术分析软件V1.0,2021SR0518165
[2] 功能近红外光谱术分析软件V2.0,2021SR1267818
[3] 近红外脑氧在线采集分析软件V1.0,2022SR0139728
[4] 近红外脑氧采集分析软件V2.0,2023SR0404849
[5] 近红外肌氧在线采集分析软件v1.0,2022SR0431479

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