宝贝好色
基本信息：
姓名：刘飞飞
学历：博士
职称：讲师
学习与责任资格：
2006.09-2010.07 泰山医学院学院 学士 专科：生物医学工程
2010.09-2015.07 山东大学 硕博连读 专科： 生物医学工程
2015.09-2017.04 山东大学 博士后
2017.09-2019.10 东南大学 博士后
2019.12-于今. 山东开导大学 理学院
学科专科：医学信息经管
讲讲课程：《线性代数》《贪图机图形学》
究诘标的：穿着式动态心电信号分析
主捏科研花式：
1.国度当然科学基金后生基金：61901114，交融贝叶斯推断和主动学习的半隐马尔科夫模子及在动态心电分割上的哄骗. 2020.01-2.22-12. 在研
2. 中国博士后科学基金花式：基于半隐马尔可夫模子的穿着式心电特征肃穆赢得（2018M642144），已结题
巨乳gif3.山东开导大学校内博士基金：穿着式心电信号精确分割的究诘.
另：第三花式东谈主参与面上花式一项 (81871444)；第二花式东谈主参与山东省面上花式一项（ZR204EEM033）。
发表论文：第一作家发表论文十余篇，其中SCI 6篇，EI 3篇，部分约束如下。
SCI期刊论文 (* Corresponding author)
1. F. F. Liu， C. Y. Liu*， L. Z. Zhao， X. E. Jiang， Z. M. Zhang， J. Q. Li， S. S. Wei* and Y. Zhang. Dynamic ECG Signal Quality Evaluation based on the Generalized bSQI Index. IEEE Access， 2018，6: 41892-41902. (SCI， IF 3.557，JCR1区)
2. F. F. Liu， C. Y. Liu*， L. N. Zhao， X. Y. Zhang， X. L. Wu， X. Y. Xu， Y. L. Liu， C. Y. Ma， S. S. Wei， Z. Q. He， J. Q. Li and N. Y. Kwee. An open access database for evaluating the algorithms of ECG rhythm and morphology abnormal detection. Journal of Medical Imaging and Health Informatics， 2018， 8(7): 1368–1373. (SCI， IF 0.549)
3. F. F. Liu， C. Y. Liu*， ， Y. B. Li， X. E. Jiang， Z. M. Zhang，Y. T. Zhang， J. Q. Li and S. S. Wei*. Performance analysis of ten common QRS detectors on different ECG application cases. Journal of Healthcare Engineering， 2018， Article ID 9050812. (SCI， IF 1.261)
4. F. F. Liu， S. S. Wei*， Y. B. Li， X. E. Jiang， Z. M. Zhang and C. Y. Liu*. The accuracy on the common Pan-Tompkins based QRS detection methods through low-quality ECG database， Journal of Medical Imaging and Health Informatics， 2017， 7(5): 1039-1043. (SCI， IF 0.549)
5. F. F. Liu， S. S. Wei*， C. Z. Wei， X. F. Ren. Coupling double-distribution-function thermal lattice Boltzmann method based on the total energy type， Acta Physica Sinica， 2015， 64(15): 154401-13. (SCI， IF 0.839)
6. F. F. Liu， S. S. Wei*， C. Z. Wei， X. F. Ren. Use of velocity source immersed boundary-lattice Boltzmann method to study bionic micro-fluidic driving model， Acta Physica Sinica， 2014， 63(19): 1947041-7. (SCI， IF 0.839)
7. C. Y. Liu*， X. Y. Zhang， L. N. Zhao， F. F. Liu， X. W. Chen， Y. J. Yao and J. Q. Li*. Signal quality assessment and lightweight QRS detection for wearable ECG SmartVest system. IEEE Internet of Things Journal， 2018， doi: 10.1109/JIOT.2018.2844090. (SCI， IF 5.863)
8. Z. M. Zhang， S. S. Wei， G. H. Zhu， F. F. Liu， Y. W. Li， X. T. Dong， C. Y. Liu and F. Liu. Efficient sleep classification based on entropy features and a support vector machine classifier. Physiological Measurement， 2018， 39(11): 1150051-13. (SCI， IF 2.006)
9. Z. M. Zhang， X. W. Liu，S. S. Wei， H. P. Gan， F. F. Liu， Y. W. Li， C. Y. Liu and F. Liu. Electrocardiogram Reconstruction Based on Compressed Sensing. IEEE ACCESS， 2019， doi: 10.1109/ACCESS.2019.2905000(SCI， IF 3.557，JCR1区)
10. Y. L. Liu， S. S. Wei*， S. Zhang， F. F. Liu， J. Q. Li and C. Y. Liu*. SQI-based two-step method for HR estimation by combining ECG and arterial blood pressure signals. Journal of Medical Imaging and Health Informatics， 2018， 8(7): 1502-1507. (SCI， IF 0.549)
11. X. E. Jiang， S. S. Wei*， J. B. Ji， F. F. Liu， P. Li and C. Y. Liu*. Modeling radial artery pressure waveforms using curve fitting: Comparison of four types of fitting functions. Artery Research， 2018， 23: 56-62. (SCI， IF 1.143)
12. X. E. Jiang， S. S. Wei*， S. Q. Zhang， L. N. Zhao， F. F. Liu， H. Tang， Z. Q. He* and C. Y. Liu*. Comparison of PPG signal features between healthy and sleep apnea patients during five sleep stages. Journal of Medical Imaging and Health Informatics， 2018， accepted. (SCI， IF 0.549)
13. X. E. Jiang， S. S. Wei*， Q. G. Zhang， D. C. Zheng， F. F. Liu， J. B. Ji， Z. M. Zhang， E.Y.K. Ng and C. Y. Liu*. Variation of peripheral pulse transit time with internal vascular pressure changes induced by arm movement. Journal of Mechanics in Medicine and Biology， 2018， accepted. (SCI， IF 0.875)
14. X. E. Jiang， S. S. Wei*， D. C. Zhegn， F. F. Liu， S. Q. Zhang， Z. M. Zhang and C. Y. Liu*. Change of bilateral difference in radial artery pulse morphology with one-side arm movement. Artery Research， 2017， 19: 1-8. (SCI， IF 1.143)
15. Y. T. Zhang， C. Y. Liu， S. S. Wei*， C. Z. Wei and F. F. Liu. An ECGs quality assessment with genetic algorithm and kernel support machine using feature matrix. Journal of Zhejiang University – Science C， 2014， 15(7): 564-573. (SCI， IF 1.215)
EI 期刊论文(* Corresponding author)
1. F. F. Liu， S. S. Wei*， S. W. Wang， C. Z. Wei， X. F. Ren. Simulation of biomimetic traveling-wave micro-pump using a modified immersed boundary–lattice Boltzmann method， Journal of Nanoengineering and Nanosystems， 2014， 228(4):189-198. (EI)
2. X. F. Ren， F. F. Liu， S. W. Wang， C. Z. Wei. Numerical Study of the Effect of Viscous Heat Dissipation and Compression Work on Microscale Rayleigh–Bénard Convection Based on a Coupled Thermal Lattice Boltzmann Method. The International Journal of Multiphysics， 2018， 12(2):101-116. (EI)
3. C. Z. Wei， S. S. Wei*， C. Y. Liu， Y. T. Zhang and F. F. Liu. Research on suspended microparticles' transport driven by reflective acoustic streaming micropump. Journal of Nanoengineering and Nanosystems， 2014， 230(3):141-147 DOI: 10.1177/1740349914551807. (EI)
会论说文 (* Corresponding author)
1. F. F. Liu， C. Y. Liu*， X. E. Jiang， L. N. Zhao， J. Q. Li and S. S. Wei. A decision-making fusion method for accurately locating QRS complexes from the multiple QRS detectors. 2018 World Congress on Medical Physics and Biomedical Engineering， 2018， 41: 321(1)-321(4).
2. F. F. Liu， S. S. Wei*， Y. B. Li， X. E. Jiang， Z. M. Zhang， H. X. Shang and C. Y. Liu. Effect of ECG signal gain on the detection accuracy of four common QRS detectors. 2017 Chinese Automation Congress & 2017 China Intelligent Manufacturing International Conference， Jinan， China， 2017： 1777-1782.
3. C. Y. Liu*， L. N. Zhao， Z. P. Cai， F. F. Liu， S. S. Wei， J. Q. Li and A. Murray. Effect of ectopic beats on heart rate variability indices in heart failure patients. 2018 World Congress on Medical Physics and Biomedical Engineering， 2018， 41: 933(1)-933(4).
4. H. X. Shang， S. S. Wei*， F. F. Liu and C. Y. Liu. Performance evaluation for the sliding area-based T wave detection method on the QT database. 2017 Chinese Automation Congress & 2017 China Intelligent Manufacturing International Conference， Jinan， China， 2017: 1792:1797.
5. C. Y. Liu*， P. Li， L. N. Zhao， F. F. Liu and R. X. Wang. Real-time signal quality assessment for ECGs collected using mobile phones. Computing in Cardiology， Hangzhou， China， 2011， 38: 357-360.