刘澄玉

发布者:郭向阳发布时间:2017-09-30浏览次数:110

刘澄玉简历

刘澄玉教授,博士生导师,“东大-联想”穿戴式心脏-睡眠-情绪智能监控联合实验室主任。

1982年出生于山东禹城。2005年毕业于山东大学生物医学工程系,获学士学位;2010年毕业于山东大学生物医学工程系,获博士学位;201012月至20177月,先后在山东大学控制科学与工程学院、山东大学信息科学与工程学院、英国Newcastle大学医学院、美国Emory大学医学院从事博士后研究,20179月加入东南大学仪器科学与工程学院从事教学和科研工作。

 近年来在移动医疗与智能监护、医学大数据信息处理、心脑血管疾病早期检测、睡眠与情绪压力状态评估等方向进行了系统的研究工作,某些研究成果处于国内外领先水平。作为负责人主持国家自然科学基金2项,山东省优秀中青年科学家科研奖励基金、中国博士后科学基金面上一等课题10余项;作为核心技术人员结题国家863课题2项;作为博士后研究员参加美国NIH课题2项、英国工程和自然科学研究委员会EPSRC课题1项。2011年至今发表学术论文120余篇,其中SCI期刊论文55篇,撰写学术著作Chapter 8章。目前申请和授权中国发明专利12项,申请PCT国际发明专利1项。2017年获得联想“青年科学家”称号,并获得500万经费资助;2016年山东省技术发明二等奖(第3位);2012年和20172次获得英国皇家物理学会Physiological Measurement年杂志社突出论文奖;在国际心脏计算学大会、世界医学物理和生物医学工程大会等学术会议上做过10余场次特邀/专题报告。作为合作导师,指导博士后研究3人,指导博士生毕业5人、硕士生毕业10余人。

 在教学方面,主讲过《数字信号处理--理论、算法与实现》、《生理系统的仿真与建模》、《数学建模》等课程;负责山东大学2006-2009年、山东大学威海分校2009年的全国研究生数学建模竞赛的培训工作。


学术兼职

  •  世界生物医学联合会(IFMBE)期刊委员会委员,任期:2015.12-2018.12,亚洲区域代表,该委员会首位国内学者

  • 全球生理测量挑战赛(PhysioNet/CinC Challenge)组委会委员

  • 世界心脏计算学大会(CINC)程序委员会委员

  • IEEE医学和生物工程学会会员

  • 欧洲心脏学会(ESC) 会员

  • 国际心电学会终身会员

  • 中国生物医学工程学会(CSBME)会员

  • 英国医学研究理事会(MRC)项目 通讯评审专家

  • 国家自然科学基金 通讯评审专家

  • 山东省食品药品监督管理局医疗器械不良事件监测中心 专家咨询委员会委员

  • Physiological Measurement (2017,2018)Computer Assisted Surgery (2017)Journal of Healthcare Engineering (2017)Computational and Mathematical Methods in Medicine (2015)等期刊客座主编/编辑

  • BIBE2018会议Co-chairICBEB2018会议Co-chairCAC2017ICNC-FSKD2016等会议Session Chair/Session board member,以下国际会议TPC成员:ITA 2016, MEA 2016, CSA 2016, IETA 2016, FSDM 2016, ICMECA 2017, AICE2017, ICCA2017, ICBSIP 2017, etc

  • Physiological MeasurementIEEE Transactions on Biomedical EngineeringIEEE Journal of Biomedical and Health InformaticsIEEE Transactions on Industrial InformaticsMedical & Biological Engineering & ComputingMedical Engineering & PhysicsBiomedical Signal Processing and ControlComputers in Biology and MedicineComputer Methods and Programs in BiomedicineJournal of Medical and Biological EngineeringScientific ReportsBioMed Research InternationalPlos OneEntropyJournal of ElectrocardiologyInternational Journal of Biomedical EngineeringSoftware: Practice and ExperienceInformatics in Medicine UnlockedBlood Pressure Monitoring20多家期刊特邀/定期审稿人


研究方向

  • 生命体征信号(心电、血压、脉搏、呼吸、心音等)处理,机器学习和智能监测

    •  远程医疗中的生命体征信号动态采集、质量评估与特征识别

    •  运动、健身训练的心功能评估以心肺耦合研究

    •  医院、家庭智能监护中的实时、动态信号处理

    •  机器学习、深度学习和大数据处理技术在长程信号处理中的应用

  • 非线性分析方法和优化方法在医学物理中应用

    •  生理信号时间序列的变异性分析

    •  近似熵、样本熵、模糊熵等熵测度算法机理分析及性能改进

    •  生理信号的高斯拟合方法和二阶段粒子群优化算法  

    •  信号复杂度、规则性及可预测性等属性的量化评估方法

  • 心血管-睡眠-情绪功能状态无创检测设备研发

    •  移动和穿戴式心电、血压、脉搏、心音设备

    •  心衰、高血压、动脉硬化和心律失常的无创评估方法和装置

    •  面向特种人群(专业运动员、战士、老年人、康复人群、宇航员、孕妇等)的心血管功能、睡眠状态和情绪压力状态量化评估方案

    •  面向特殊场景(航天、战场、高原低氧等)的心血管功能、睡眠状态和情绪压力状态量化解决方案

注:上述研究方向涉及多学科交叉,欢迎来自生物医学工程、测控技术与仪器、机器学习与人工智能、信号和信息处理、应用数学、计算机、医学物理、心血管医学与医学统计等专业的学生前来攻读硕士/博士学位,或进行博士后研究。


代表性论文 (*通讯作者)

  1. G. D. Clifford, C. Y. Liu, B. Moody, J. Millet, S. Schmidt, Q. Li, I. Silva and R. G. Mark. Recent advances in heart sound analysis. Physiological Measurement, 2017, 38(8): E10-21.

  2. C. Y. Liu, D. Springer and G. D. Clifford*. Performance of an open source heart sound segmentation algorithm on collection of eight independent databases. Physiological Measurement, 2017, 38(8):1730-1745.

  3. F. Pan, P. Y. He*, C. Y. Liu, T. Y. Li, A. Murray and D. C. Zheng. Variation of Korotkoff stethoscope sounds during blood pressure measurement: Analysis using a convolutional neural network. IEEE Journal of Biomedical and Health Informatics, 2017, in press, DOI 10.1109/JBHI.2017.2703115.

  4. X. L. Chi, M. Li, X. Zhan, H. H. Man, S. L. Xu, D. C. Zheng, J. Z. Bi*, Y. C. Wang*, C. Y. Liu. Relationship between carotid artery sclerosis and blood pressure variability in essential hypertension patients. Computers in Biology and Medicine, 2017, in press,  DOI: 10.1016/j.compbiomed.2017.03.012.

  5. A. N. Vest, Q. Li,C. Y. Liu , S. Nemati, A. Shah and G. D. Clifford.  Benchmarking heart rate variability toolboxes. Journal of Electrocardiology, 2017, in press, DOI: 10.1016/j.jelectrocard.2017.08.006

  6. C. Y. Liu* and R. Gao*. Multiscale entropy analysis of the differential RR interval time series signal and its application in detecting congestive heart failure. Entropy, 2017, 19: Article ID 251.

  7. B. M. Whitaker*, P. B. Suresha1, C. Y. Liu, G. D. Clifford  and D. V. Anderson. Combining sparse coding and time-domain features for heart sound classification, Physiological Measurement, 2017, 38(8): 1701-1729.

  8. Q. Qin, J. Q. Li*, L. Zhang, Y. G. Yue, C. Y. Liu. Combining low-dimensional wavelet features and support vector machine for arrhythmia beat classification. Scientific Reports, 2017, 7: 6067.

  9. E. Reinertsen, M, Osipov, C. Y. Liu, and Gari D. Clifford*. Continuous assessment of schizophrenia using accelerometer and heart rate data. Physiological Measurement, 2017, 38(7): 1456-1471.

  10. H. Y. Shi, L. C. Yang*, L. L. Zhao, Z. H. Su, X. Q. Mao, L. Zhang and C. Y. Liu*. Differences of heart rate variability between happiness and sadness emotion states: a comprehensive comparison for time-domain, frequency-domain and nonlinear indices. Journal of Medical and Biological Engineering, 2017, 37(4): 527-539.

  11. Q. Qin, J. Q. Li*, Y. G. Yue, C. Y. Liu. An adaptive and time-efficient ECG R-peak detection algorithm, Journal of Healthcare Engineering, 2017, Article ID 5980541, 14 pages.

  12. G. Da Poian, C. Y. Liu, R. Rinaldo and G. D. Clifford*. Compressive sensing for ECG signals and its effect on atrial fibrillation detection. Physiological Measurement, 2017, 38(7): 1405-1425.

  13. Z. P. Cai, K. Luo, C. Y. Liu and J. Q. Li*. Design of a wearable smart garment for long-term ECG monitoring based on conductive textile electrodes and flexible printed circuit board, Technology and Health Care, 2017, 25(4):815-821.

  14. 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.

  15. Y. R. Xia, L. C. Yang*, X. Q. Mao, D. C. Zheng and C. Y. Liu*.Quantification of vascular function changes during different emotion and sub-emotion states: a pilot study. Technology and Health Care, 2017, 25(3): 447-456.

  16. S. Y. Liu, J. Teng, X. H. Qi, S. S. Wei* and C. Y. Liu*. Comparison between heart rate variability and pulse rate variability during different sleep stages for sleep apnea patients. Technology and Health Care, 2017, 25(3): 435-445.

  17. 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.

  18. D. Pandit, L. Zhang*, C. Y. Liu, N. Aslam and S. Chattopadhyay. Lightweight lead II ECG QRS detector for mobile devices using max-min difference method. Computer Methods and Programs in Biomedicine, 2017, 144(2): 61-75.

  19. F. Li, L. C. Yang*, H. Y. Shi and C. Y. Liu*. Differences in photoplethysmography morphological features and feature time series between two opposite emotions, Artery Research, 2017, 18: 7-13.

  20. C. Y. Liu*, D. Springer, Q. Li, B. Moody, R. A. Juan, F. J. Chorro, F. Castells, J. M. Roig, I. Silva, A. E. W. Johnson, Z. Syed, S. E. Schmidt, C. D. Papadaniil, L. Hadjileontiadis, H. Naseri, A. Moukadem, A. Dieterlen, C. Brandt, H. Tang, M. Samieinasab, M. R. Samieinasab, R. Sameni, R. G. Mark and G. D. Clifford. An open access database for the evaluation of heart sound algorithms. Physiological Measurement, 2016, 37(12): 2181-2213.

  21. L. N. Zhao, S. S. Wei*, H. Tang* and C. Y. Liu*. Multivariable fuzzy measure entropy analysis for heart rate variability and heart sound amplitude variability. Entropy, 2016, 18(12): 430.

  22. J. Zhang, C. Y. Liu, C. L. Pan, M. Bai, J. Zhang, Y. Peng, D. C. Zheng and Z. Zhang*. Effect of multiple clinical factors on recurrent angina after percutaneous coronary intervention: a retrospective study from 398 ST-segment elevation myocardial infarction patients. Medicine, 2016, 95(41): e5015.

  23. C. Y. Liu*, L. N. Zhao, H. Tang, Q. Li, S. S. Wei and J. Q. Li. Life-threatening false alarms rejection in ICU: Using rule-based and multi-channel information fusion method. Physiological Measurement, 2016, 37(8); 1204-1216.

  24. H. Tang* and C. Y. Liu*. Changes of pulse characteristics with increased blood pressure: evidence from femoral arterial pulse of anesthetized dog using Gaussian fitting method. Frontiers in Physiology, 2016, 7:404.

  25. G. Zhang, C. Y. Liu, L. Z. Ji, J. Yang* and C. C. Liu*. Effect of percutaneous coronary intervention procedure on heart rate variability and pulse transit time variability: A comparison study based on fuzzy measure entropy. Entropy, 2016, 18(7): 246.

  26. Y. T. Zhang, S. S. Wei*, C. Di Maria and C. Y. Liu*. Using Lempel-Ziv complexity to assess ECG signal quality. Journal of Medical and Biological Engineering, 2016, 36(5): 625-634.

  27. P. Li, K. Li, C. Y. Liu, D. C. Zheng, Z. M. Li and C.C. Liu*. Detection of coupling in short physiological series by a joint distribution entropy method. IEEE Transactions on Biomedical Engineering, 2016, 63(11): 2231-2242.

  28. L. Z. Ji, P. Li, C. Y. Liu, X. P. Wang, J. Yang and C.C. Liu*. Measuring electromechanical coupling in patients with coronary artery disease and healthy subjects. Entropy, 2016, 18(4): 153.

  29. Y. T. Zhang, S. S. Wei*, H. Liu, L. N. Zhao and C. Y. Liu*. A novel Encoding Lempel-Ziv complexity algorithm for quantifying the irregularity of physiological time series. Computer Methods and Programs in Biomedicine, 2016, 133(6): 7-15.

  30. C. Y. Liu*, C. Griffiths, A. Murray and D. C. Zheng. Comparison of stethoscope bell and diaphragm, and of stethoscope tube length, for clinical blood pressure measurement. Blood Pressure Monitoring, 2016, 21(3): 178-183.

  31. M. F. Xu, S. S. Wei*, X. W. Qin, Y. T. Zhang and C. Y. Liu*. Rule-based method for morphology classification of ST segment in ECG signal. Journal of Medical and Biological Engineering, 2015, 35(6): 816-823.

  32. C. Y. Liu*, D. C. Zheng* and A. Murray. Arteries stiffen with age, but can retain an ability to become more elastic with applied external cuff pressure. Medicine, 2015, 94(41): e1831.

  33. L. N. Zhao, S. S. Wei*, C. Q. Zhang, Y. T. Zhang and C. Y. Liu*. Determination of sample entropy and fuzzy measure entropy parameters for distinguishing congestive heart failure from normal sinus rhythm subjects. Entropy, 2015,17(9): 6270-6288.

  34. L. Z. Ji, C. Y. Liu, P. Li, X. P. Wang, C. Yan and C. C. Liu*. Comparison of heart rate variability between resting state and external-cuff-inflation-and-deflation state: a pilot study. Physiological Measurement, 2015, 36(10):2135-2146.

  35. C. Y. Liu*, C. Q. Zhang, L. Zhang, L. N. Zhao, C. C. Liu and H. J. Wang. Measuring synchronization in coupled simulation and coupled cardiovascular time series: A comparison of different cross entropy measures. Biomedical Signal Processing and Control, 2015, 21(8): 49-57.

  36. A. R. Wang, L. Yang*, C. Y. Liu, J. X. Cui, Y. Li, X. X. Yang, S. Zhang and D. C. Zheng. Athletic differences in the characteristics of the photoplethysmographic pulse shape: Effect of maximal oxygen uptake and maximal muscular voluntary contraction. BioMed Research International, 2015, Volume 2015, Article ID 752570, 8 pages.

  37. P. Li, C. Y. Liu, K. Li, D. C. Zheng, C.C. Liu* and Y. L. Hou*. Assessing the complexity of short-term heartbeat interval series by distribution entropy. Medical & Biological Engineering & Computing, 2015, 53(1): 77-87.

  38. C. Y. Liu*, L. N. Zhao and C. C. Liu. Effects of blood pressure and sex on the change of wave reflection: Evidence from Gaussian fitting method for radial artery pressure waveform. Plos One, 2014, 9(11): e112895.

  39. G. X. Gu, L. Yang*, C. Y. Liu, S. Zhang and D. C. Zheng. Age and blood pressure associated changes in the Gaussian modelling characteristics of the photoplethysmographic pulse. Experimental & Clinical Cardiology, 2014, 20(9): 4943-4951.

  40. Z. Q. Chen, L. N. Mao, C. Y. Liu, J. R. Blake and D. C. Zheng*. Decreased peripheral arterial volume distensibility in patients with branch retinal vein occlusion in comparison with normal subjects. Scientific Reports, 2014, 4: 6685.

  41. C. Y. Liu*, P. Li, C. Di Maria, L. N. Zhao,H. G. Zhang, Z. Q. Chen*. A multi-step method with signal quality assessment and fine-tuning procedure to locate maternal and fetal QRS complexes from abdominal ECG recordings. Physiological Measurement, 2014, 35(8): 1665-1683.

  42. C. Di Maria*, C. Y. Liu, D. C. Zheng, A. Murray and P. Langley. Extracting the foetal ECG from maternal abdominal recordings: Selection of the optimal principal component. Physiological Measurement, 2014, 35(8): 1649-1664.

  43. C. Y. Liu*, T. Zhuang, L. N. Zhao, F. L. Chang, C. C. Liu, S. S. Wei, Q. Q. Li and D. C. Zheng. Modelling arterial pressure waveform using Gaussian functions and two-stage particle swarm optimizer.  BioMed Research International, 2014, Volume 2014, Article ID 923260, 10 pages

  44. C. Y. Liu*, D. C. Zheng*, L. N. Zhao and C. C. Liu. Gaussian fitting for carotid and radial artery pressure waveforms comparison between normal subjects and heart failure patients. Bio-Medical Materials and Engineering, 2014, 24(1): 271-277.

  45. 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.

  46. P. Li, C. Y. Liu, X. P. Wang, D. C. Zheng, Y. Y. Li and C. C. Liu*. A low-complexity data-adaptive approach for premature ventricular contraction recognition. Signal, Image and Video Processing, 2014, 8(1): 111-120.

  47. P. Li, C. Y. Liu, L. P. Li, L. Z. Ji, S. Y. Yu and C.C. Liu*. Multiscale multivariate fuzzy entropy analysis. Acta Physica Sinica, 2013, 62(12): 120512. (in Chinese)

  48. C. Y. Liu*, D. C. Zheng, A. Murray and C. C. Liu. Modelling carotid and radial artery pulse pressure waveforms by curve fitting with Gaussian functions. Biomedical Signal Processing and Control, 2013, 8(5): 449-454.

  49. P. Li, C. Y. Liu, X. P. Wang, L. P. Li, L. Yang, Y. C. Chen and C. C. Liu*. Testing pattern synchronization in coupled systems through different entropy-based measures. Medical & Biological Engineering & Computing, 2013, 51(5): 581-591.

  50. C. Y. Liu*, D. C. Zheng, L. N. Zhao, P. Li, B. Li, A. Murray and C. C. Liu. Elastic properties of peripheral arteries in heart failure patients in comparison with normal subjects. Journal of Physiological Sciences, 2013, 63(3): 195-201.

  51. C. Y. Liu*, K. Li, L. N. Zhao, F. Liu, D. C. Zheng, C. C. Liu* and S. T. Liu. Analysis of heart rate variability using fuzzy measure entropy. Computers in Biology and Medicine, 2013, 43(2): 100-108.

  52. C. Y. Liu*, L. P. Li, L. N. Zhao, D. C. Zheng, P. Li and C. C. Liu*. A combination method of improved impulse rejection filter and template matching for identification of anomalous intervals in electrocardiographic RR sequences. Journal of Medical and Biological Engineering, 2012, 32(4): 245-250.

  53. L. P. Li, K. Li, S. G. Cheng, C. Y. Liu and C. C Liu*. Five-class density histogram and its application in short-term heart rate variability. Journal of Medical and Biological Engineering, 2012, 32(4): 287-291.

  54. C. Y. Liu, C. C. Liu*, P. Shao, L. P. Li, X. Sun, X. P. Wang and F. Liu. Comparison of different threshold values r for approximate entropy: Application to investigate the heart rate variability between heart failure and healthy control groups. Physiological Measurement, 2011, 32(2): 167-180.

  55. C. Y. Liu*, L. N. Zhao, C. C. Liu and S. S. Wei. Dynamic nodes partition algorithm for Ad Hoc network. China Communications, 2011, 8(8): 44-48.

  56. C. Y. Liu*, Q. Li, P. B. Suresha and G. D. Clifford. Combining Multi-source Features and Support Vector Machine for Heart Rhythm Classification. Computing in Cardiology 2017, Rennes, France, 2017, in press.

  57. G. D. Clifford*, C. Y. Liu, B. Moody, I. Silva, Q. Li, A. Johnson and R. Mark. AF Classification from a Short Single Lead ECG Recording: the PhysioNet/Computing in Cardiology Challenge 2017. Computing in Cardiology 2017, Rennes, France, 2017, in press.

  58. L. N. Zhao, S. S. Wei*, H. Tang and C. Y. Liu*.Coupling Analysis for Systolic, Diastolic and RR Interval Time Series Using Multivariable Fuzzy Measure Entropy. Computing in Cardiology 2017, Rennes, France, 2017, in press.

  59. Y. R. Xia, L. C. Yang*, H. Y. Shi, Y. Zhuang and C. Y. Liu*. Changes of Permutation Pattern Entropy and Ordinal Pattern Entropy during Three Emotion States: Natural, Happiness and Sadness. Computing in Cardiology 2017, Rennes, France, 2017, in press.

  60. C. Y. Liu*, Q. Li and G. D. Clifford.Comparison of repeatability of blood pressure measurements between oscillometric and auscultatory methods. Computing in Cardiology 2016, Vancouver, Canada, 2016.

  61. G. D. Clifford*, C. Y. Liu, D. Springer, B. Moody, Q. Li, R. A. Juan, J. Millet, I. Silva, A. Johnson and R. Mark. Classification of normal/abnormal heart sound recordings: the PhysioNet/Computing in Cardiology Challenge 2016. Computing in Cardiology 2016, Vancouver, Canada, 2016.

  62. Z. M. Zhang, S. S. Wei*, L. P. Li, F. Liu and C. Y. Liu. Comparison of four recovery algorithms used in compressed sensing for ECG signal processing. Computing in Cardiology 2016, Vancouver, Canada, 2016.

  63. X. P. Wang*, Y. Y. Li, C. Y. Liu, C. C. Liu, L. Z. Ji and H. B. Zeng. Changes in amplitude characteristics of heart sound signals during external-cuff-inflation procedure: a pilot study. Computing in Cardiology 2016, Vancouver, Canada, 2016.

  64. Y. T. Zhang*, S. S. Wei, L. Zhang and C. Y. Liu. A signal quality assessment method for mobile ECG based on fuzzy support vector machine and multiple features. ICNC-FSKD 2016, Changsha, China, 2016.

  65. D. Pandit, L. Zhang*, N. Aslam, C. Y. Liu and S. Chattopadhyay. Improved Abnormality Detection from Raw ECG Signals using Feature Enhancement. ICNC-FSKD 2016, Changsha, China, 2016.

  66. C. Y. Liu*, D. C. Zheng, C. Griffithsand A. Murray.Comparison of repeatability of blood pressure measurements between oscillometric and auscultatory methods. Computing in Cardiology 2015, Nice, France, 2015, 42: 1073-1076.

  67. C. Y. Liu* L. N. Zhao and H. Tang. Reduction of false alarms in intensive care unit using multi-feature fusion method. Computing in Cardiology 2015, Nice, France, 2015, 42: 741-744.

  68. D. C. Zheng*, C. Y. Liu, J. Amoore, S. Mieke, A. Murray. Need for re-validation of automated blood pressure devices for use in unstable conditions. Computing in Cardiology 2015, Nice, France, 2015, 42: 17-20.

  69. P. Li, C. Karmakar, C. Y. Liu and C. C. Liu*. Radial artery pressure wave-derived systolic and diastolic duration in healthy adults: relation to heart rate and age. Computing in Cardiology 2015, Nice, France, 2015, 42: 381-384.

  70. C. Y. Liu*, D. C. Zheng, L. N. Zhao, C. C. Liu and A. Murray. Analysis of cardiovascular time series using multivariate sample entropy: A comparison between normal and congestive heart failure subjects. Computing in Cardiology 2014, MIT, USA, 2014, 41: 237-240.

  71. C. Y. Liu*, D. C. Zheng, C. Griffithsand A. Murray. Oscillometric waveform difference between cuff inflation and deflation during blood pressure measurement. Computing in Cardiology 2014, MIT, USA, 2014, 41: 849-852.

  72. D. C. Zheng*, C. Y. Liu, J. Amoore, S. Mieke and A. Murray. Validation of a blood pressure simulator that regenerates oscillometric cuff pressure waveforms. Computing in Cardiology 2014, MIT, USA, 2014, 41: 841-844.

  73. P. Li, L. Z. Ji, C. Yan, K. Li, C. Y. Liu and C. C. Liu*. Coupling between short-term heart rate and diastolic period is reduced in heart failure patients as indicated by multivariate entropy analysis. Computing in Cardiology 2014, MIT, USA, 2014, 41: 97-100.

  74. D. Pandit, L. Zhang, C. Y. Liu, N. Aslam, A. Hossain and S. Chattopadhyay. An efficient abnormal beat detection scheme from ECG signals using neural network and ensemble classifiers. SKIMA 2014, Dhaka, Bangladesh, 2014, Paper ID: 76.

  75. C. Y. Liu* and P. Li. Systematic methods for fetal electrocardiographic analysis: determing the fetal heart rate, RR interval and QT interval. Computing in Cardiology 2013, Zaragoza, Spain, 2013, 40: 309-312.

  76. C. Y. Liu*, D. C. Zheng, P. Li and C. C. Liu. Is cross-sample entropy a valid measure of synchronization between the sequences of RR interval and pulse transit time? Computing in Cardiology 2013, Zaragoza, Spain, 2013, 40: 939-942.

  77. P. Li, C. Y. Liu, X. Sun, Y. A. Ren, C. Yan, Z. H. Yu and C.C. Liu*. Age related changes in variability of short-term heart rate and diastolic period. Computing in Cardiology 2013, Zaragoza, Spain, 2013, 40: 995-998.

  78. C. Y. Liu*, P. Li, Y. T. Zhang, Y. Zhang, C. C. Liu and S. S. Wei. A construction method of personalized ECG template and its application in premature ventricular contraction recognition for ECG mobile phones. WC 2012 on Medical Physics and Biomedical Engineering, Beijing, China, 2012, 39: 585-588.

  79. P. Li, C. Y. Liu, X. P. Wang, B. Li, W. B. Che and C. C. Liu*. Cross-sample entropy and cross-fuzzy entropy for testing pattern synchrony: how results vary with different threshold value r. WC 2012 on Medical Physics and Biomedical Engineering, Beijing, China, 2012, 39: 485-488.

  80. 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.

  81. C. Y Liu* and L. N. Zhao. Using fuzzy measure entropy to improve the stability of traditional entropy measures for HRV analysis. Computing in Cardiology, Hangzhou, China, 2011, 38: 681-684.

  82. C. Y. Liu*, P. Li, L. N. Zhao, J. Yang and C. C. Liu. Evaluation method for heart failure using RR sequence normalized histogram. Computing in Cardiology, Hangzhou, China, 2011, 38: 305-308.

  83. P. Li, C. Y. Liu, C. C. Liu*, X. Sun, J. Yang and G. Q. Ma. Higher order spectra for heart rate variability and QT interval variability analysis: a comparison between heart failure and normal control groups. Computing in Cardiology, Hangzhou, China, 2011, 38: 309-312.


招生计划

 硕士生:3-4/年;博士生:1-2/年;博士后:2-3/年。


联系方式

E-mail: bestlcy@sdu.edu.cn

Website: https://www.researchgate.net/profile/Chengyu_Liu3

https://scholar.google.co.uk/citations?user=9vfBticAAAAJ&hl=en