姓 名:潘清
工作部门:信息工程学院
性 别:男
技术职称:副教授
最高学位:博士
民 族:汉族
籍 贯:山东商河
联系方式:
Email: pqpq@zjut.edu.cn
电 话:0571-85290595
课题组网站:www.luckycloudlab.cn
主要研究方向:
1.基于人工智能和信号处理的医学诊断方法研究
基于深度学习等人工智能模型和小波等信号处理算法对心电图、呼吸波形、X光图像、眼底视网膜图像、脑部核磁共振图像等进行处理,提取反映人体病理情况的特征。
2.医学仪器与信息系统开发
与临床合作开发医用仪器及信息系统,加强医院信息化,提高临床工作效率。
3.生理系统建模仿真研究
基于力学生物学数学模型模拟心血管系统的血流动力学情况及生长发育过程,为研究肿瘤等疾病的发病机理提供辅助工具。
简 历:
2003.09-2008.06 浙江大学 生物医学工程专业 学士学位
2008.08-2013.08 浙江大学 生物医学工程展业 博士学位
2012.01-2012.07 德国柏林洪堡大学Charite医学中心 访问
2013.09-2017.12 浙江工业大学 信息工程学院 讲师
2016.08-2017.08 德国柏林洪堡大学Charite医学中心 博士后
2018.01-至今 浙江工业大学 信息工程学院 副教授
研究(情况)项目:
1. 血管网络新生时间与空间模式数学模型研究,国家自然科学基金面上项目,2019-2022,31870938,59万,主持
2. 多空间尺度循环系统模型中的耦合关键问题研究,国家自然科学基金青年项目,81401491,2015-2017,23万元,主持
3. Connexin对血管重塑调控机制的多尺度数学模型研究,浙江省自然科学基金项目,LQ14H180001,2014-2016,5万元,主持
4. 激光间质热疗手术规划软件系统开发,横向,15万元,主持
5. 小型车辆定位服务云平台的预研制,横向,20万元,主持
6. 院内无线血糖管理系统的研制,横向,20万元,主持
7. 基于深度摄像机的人体步态评定系统,横向,10万元,主持
8. MDSDC医用软件申报编制技术服务,横向,5万元,主持
发表的论文、专著、教材:
1. Pan Q, Zhang L, Jia M, Pan J, Gong Q, Lu Y, Zhang Z, Ge H*, Fang L*, An interpretable 1D convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilation. Computer Methods and Programs in Biomedicine (Under review)
2. Pan Q, Jia MZ, Liu QJ, Zhang LW, Pan J, Lu F, Zhang ZH, Ge HQ*, Fang LP*, Identifying Patient-Ventilator Asynchrony on a Small Dataset using Image-based Transfer Learning. Technology and Health Care (Under review)
3. Zhang L#, Mao K#, Duan K, Fang S, Lu Y, Gong Q, Lu F, Jiang Y, Jiang L, Fang W, Zhou X, Wang J, Fang L, Ge H*, and Pan Q*. Detection of patient-ventilator asynchrony from mechanical ventilation waveforms using a two-layer long short-term memory neural network. Comput Biol Med 120: 103721, 2020.
4. Zhang Z, Pan Q, Ge H, Xing L, Hong Y, and Chen P. Deep learning-based clustering robustly identified two classes of sepsis with both prognostic and predictive values. EBioMedicine 62: 103081, 2020.
5. Lv XQ, Zhao SJ, Li PL, Fang LP, Ning GM, Pan Q*, Study of Temporal Pattern of Embryonic Angiogenesis Based on Interpretable Convolutional Neural Networks, Chinese Journal of Biomedical Engineering, 39(5): 524-530, 2020. (in Chinese)
6. Ge H, Zhou JC, Lv F, Zhang J, Yi J, Yang C, Zhang L, Zhou Y, Ren B, Pan Q*, and Zhang Z*. Cumulative oxygen deficit is a novel predictor for the timing of invasive mechanical ventilation in COVID-19 patients with respiratory distress. PeerJ 8: e10497, 2020.
7. Cao P, Li X, Mao K, Lu F, Ning G, Fang L, and Pan Q*. A novel data augmentation method to enhance deep neural networks for detection of atrial fibrillation. Biomed Signal Proces 56: 101675, 2020.
8. Ge H#, Pan Q#, Zhou Y, Xu P, Zhang L, Zhang J, Yi J, Yang C, Zhou Y, Liu L, and Zhang Z. Lung Mechanics of Mechanically Ventilated Patients With COVID-19: Analytics With High-Granularity Ventilator Waveform Data. Frontiers in Medicine 7: 2020.
9. Ge H, Duan K, Wang J, Jiang L, Zhang L, Zhou Y, Fang L, Heunks LMA, Pan Q*, and Zhang Z*. Risk Factors for Patient-Ventilator Asynchrony and Its Impact on Clinical Outcomes: Analytics Based on Deep Learning Algorithm. Frontiers in Medicine 7: 597406, 2020.
10. Lu YF, Lu F, Fang LP, Ge HQ, Pan Q*, Application of Wavelet Multi-scale Characteristics to Detect Patient-ventilator Asynchrony in Mechanical Ventilation, Journal of Chinese Computer Systems, 41(12): 2677-2682, 2020. (in Chinese)
11. Cao P, Ye B, Yang L, Lu F, Fang L, Cai G, Su Q, Ning G, and Pan Q*. Preprocessing Unevenly Sampled RR Interval Signals to Enhance Estimation of Heart Rate Deceleration and Acceleration Capacities in Discriminating Chronic Heart Failure Patients from Healthy Controls. Computational and Mathematical Methods in Medicine 2020: 9763826, 2020.
12. Cao P, Sheng Q, Fang S, Li X, Ning G, and Pan Q*. Fusion of Multi-Size Candidate Regions Enhances Two-Stage Hippocampus Segmentation. IEEE Access 8: 63225-63238, 2020.
13. Wang R, Li P, Pan Q, Li JKJ, Kuebler WM, Pries AR, and Ning G. Investigation into the diversity in the fractal dimensions of arterioles and venules in a microvascular network – A quantitative analysis. Microvasc Res 125: 103882, 2019.
14. Pan Q, Wang RF, Bettina R, Fang LP, Yan J, Cai GL, Kuebler WM, Pries AR, Ning GM, Pulse wave velocity in the microcirculation reflects both vascular compliance and resistance: Insights from computational approaches, Microcirculation 25: e12458, 2018.
15. Pan Q, Yao JL, Wang RF, Cao P, Ning GM, Fang LP. Optimization of the parameters of microcirculatory structural adaptation model based on improved quantum-behaved particle swarm optimization algorithm. Journal of Biomedical Engineering, 34(5): 784-789, 2017. (in Chinese)
16. Xia J, Zhang S, Cai G, Li L, Pan Q, Yan J, and Ning G. Adjusted weight voting algorithm for random forests in handling missing values. Pattern Recognition 69: 52-60, 2017.
17. Pan Q, Zhou G, Wang R, Yu Y, Li F, Fang L, Yan J, and Ning G. The degree of heart rate asymmetry is crucial for the validity of the deceleration and acceleration capacity indices of heart rate: A model-based study. Comput Biol Med 76: 39-49, 2016.
18. Pan Q, Zhou G, Wang R, Cai G, Yan J, Fang L, and Ning G. Do the deceleration/acceleration capacities of heart rate reflect cardiac sympathetic or vagal activity? A model study. Med Biol Eng Comput 54: 1921-1933, 2016.
19. Pan Q, Wang RF, Reglin B, Fang L, Pries AR, and Ning G. Simulation of microcirculatory hemodynamics: estimation of boundary condition using particle swarm optimization. Bio-Med Mater Eng 24: 2341-2347, 2014.
20. Pan Q, Wang RF, Reglin B, Cai GL, Yan J, Pries AR, and Ning GM. A One-Dimensional Mathematical Model for Studying the Pulsatile Flow in Microvascular Networks. J Biomech Eng-Trans ASME 136: 011009, 2014.
21. Pan Q, Gong Y, Gong S, Hu Q, Zhang Z, Yan J, and Ning G. Enhancing the deceleration capacity index of heart rate by modified-phase-rectified signal averaging. Med Biol Eng Comput 48: 399-405, 2010.
22. Pan Q, Wang RF, Reglin B, Yan J, Ning GM, and Pries AR. Transmission of pulsatility in the microcirculation: Where and how damping occurs? FASEB J 27: 2013.
23. Wang R, Pan Q, Kuebler WM, Li JKJ, Pries AR, and Ning G. Modeling of pulsatile flow-dependent nitric oxide regulation in a realistic microvascular network. Microvasc Res 113: 40-49, 2017.
科研成果及专利:
授权发明专利
1. 潘清, 曹平, 方路平, 高坤, 徐仙明. 一种改进的颅内穿刺导向方法及装置. ZL201510507773.3
2. 方路平, 潘清, 曹平, 洪文杰, 姚家良, 陈晓雷, 郑远. 一种颅内穿刺辅助导向系统. ZL201410052651.5
3. 宁钢民, 潘清, 龚月仙, 严静, 胡其军, 杨桂秋, 龚仕金, 蔡国龙, 张召才. 一种心率减速能力的检测方法及设备. ZL200910098011.7
软件著作权
1. 潘清, 曹平, 方路平. 微循环血管网络可视化软件. 2016SR155801.
2. 方路平, 曹平, 潘清, 陆飞, 盛邱煬. 智能烹饪厨具的电路控制系统软件. 2018SR046185.
研究生培养等教学情况:
1. 指导研究生、本科生获第六届中国国际“互联网+”大学生创新创业大赛浙江赛区铜奖,2020
2. 指导研究生获浙江省专业学位研究生优秀实践成果,2020
3. 指导研究生获“华为杯”第十届中国研究生电子设计竞赛华东分赛区团队三等奖,2015
4. 教授《程序设计基础C》,《C++程序设计》,《生物医学信号处理与人工智能》等课程
奖励和荣誉:
1. 第四届解放军总医院-麻省理工学院医学大数据Datathon竞赛三等奖
2. 第10届世界微循环大会,最佳墙报奖
3. 亚太计算与信息技术学会(APSCIT)CITR 2018会议杰出贡献奖
4. 浙江工业大学教学质量优秀奖
其它:
中国医学装备协会呼吸分会呼吸机/呼吸支持装备学组委员
中国生物医学工程学会高级会员
中国电子学会高级会员
中国计算机学会会员
美国生理学学会会员
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