刘澄玉

发布者:张力发布时间:2017-09-30浏览次数:3718

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。

近年来在穿戴式医疗与智能监护、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先进水平。作为负责人主持国家自然科学基金等课题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140余篇,其中SCI期刊论文70篇,撰写学术著作Chapter 8章。目前申请和授权中国发明专利14项,申请PCT国际发明专利1项。2017年获得联想全球遴选唯一“青年科学家”称号,并获得500万经费资助;2017年获得世界最大开源生理数据平台MIT PhysioNet授予的“杰出贡献奖”;2016年获得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PhysiologicalMeasurement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。

  

教学工作

l本科生:《误差理论与数据处理》(全英文)

l研究生:《现代信号处理理论及应用》(中英文双语)

  

学术兼职

l世界生物医学联合会(IFMBE)期刊委员会委员,任期:2016-2019,亚洲区域代表,该委员会首位国内学者

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

l中国生理信号挑战赛(China Physiological Signal Challenge)组委会主席

l世界心脏计算学大会(CINC 2016 2017 2018)技术委员会委员

lIEEE医学和生物工程学会会员

l欧洲心脏学会(ESC)会员

l国际心电学会终身会员

l全国专利侵权判定咨询技术专家库成员

l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

l英国医学研究理事会(MRC)项目通讯评审专家

lJournal of Mechanics in Medicine and Biology 副主编

lJournal of Medical Imaging and Health Informatics 副主编

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

lPhysiological Measurement 国际咨询委员会成员

l第七届生物医学工程与生物技术国际学术会议出版委员会主席

lICBEB2018BIBE2018国际会议Co-chair

l以下国际会议TPC委员:ITA 2016, MEA 2016, CSA 2016,IETA 2016, FSDM 2016, ICMECA 2017, AICE2017, ICCA2017, ICBSIP 2017, etc.

lPhysiological MeasurementIEEE Transactions on Biomedical EngineeringIEEE Journal of Biomedical andHealth InformaticsIEEE Transactions on Industrial InformaticsMedical & BiologicalEngineering & ComputingMedical Engineering & PhysicsBiomedical Signal Processing and ControlComputers in Biology and MedicineComputer Methods and Programs inBiomedicineJournal ofMedical and Biological EngineeringScientific ReportsBioMed Research InternationalPlos OneEntropyJournal of ElectrocardiologyInternational Journal of Biomedical EngineeringSoftware: Practice and ExperienceInformatics in Medicine UnlockedBlood Pressure MonitoringGIGA20多家期刊特邀/定期审稿人

  

研究方向

l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

²穿戴式医疗中的生命体征信号动态采集、质量评估与特征识别

²运动、健身训练的心功能评估以心肺耦合研究

²医院、家庭智能监护中的实时、动态信号处理

²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

l非线性分析方法和优化方法在医学物理中应用

²生理信号时间序列的变异性分析

²近似熵、样本熵、模糊熵等熵测度算法机理分析及性能改进

²生理信号的高斯拟合方法和二阶段粒子群优化算法

²信号复杂度、规则性及可预测性等属性的量化评估方法

l心血管-睡眠-情绪功能状态无创检测设备研发

²穿戴式心电、胎儿心电、血压、脉搏、心音设备

²心衰、高血压、动脉硬化和心律失常的无创评估方法和装置

²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

²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。


SCI期刊论文 (*通讯作者)

2018

1.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 wearableECG SmartVest system. IEEE Internet of Things Journal, 2018, DOI: 10.1109/JIOT.2018.2844090. (IF:7.596, 中科院一区)

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, J. Q. Liand N. Y. Kwee. An open access database for evaluating the algorithms of ECG rhythmand morphology abnormal detection. Journal of Mechanics in Medicine andBiology, 2018, accepted.

3.H. Tang*, Z. Y. Dai, Y. L.Jiang, T. Li and C. Y. Liu*. PCG classification usingmulti-domain features and SVM classifier. BioMed Research International, 2018,accepted.

4.B. S. Lin, C. F. Liu, C. J.Cheng, J. J. Wang, C.Y. Liu, J. Q. Li and B. S. Lin*. Development ofnovel hearing aids by using image recognition technology. IEEE Journal of Biomedical andHealth Informatics, 2018, accepted. DOI: 10.1109/JBHI.2018.2836180

5.X. Y.Xu, S. S. Wei*, C. Y. Ma, K. Luo, L. Zhang and C. Y. Liu*.Atrial fibrillationbeat identification using the combination of frequency slice wavelet transformand convolution neural networks. Journal of Healthcare Engineering,2018, accepted.

6.C. Y. Liu*, J. Oster,Q. Li, L. Z. Zhao, S. Nemati and G. D. Clifford. Comparisonof different entropy measures for atrial fibrillation detection. PhysiologicalMeasurement, 2018,accepted.

7.F. F.Liu, S. S. Wei*, Y. B. Li, X. E. Jiang, Z. M. Zhang and C. Y. Liu*. Performance analysisof ten common QRS detectors on different ECG application cases. Journalof Healthcare Engineering, 2018, Article ID 9050812.

8.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 pressurechanges induced by arm movement. Journal of Mechanics in Medicine andBiology, 2018, accepted.

9.Y. L.Liu, S. S. Wei*, S. Zhang, F. F. Liu, J. Q. Li and C. Y. Liu*. SQI-basedtwo-step method for HR estimation by combining ECG and arterial blood pressuresignals. Journal of Medical Imaging and Health Informatics, 2018, accepted.

10.D. Pandit, L. Zhang*, S. Chattopadhyay, C. P. Lim and C. Y. Liu. A scattering and repulsive swarmintelligence algorithm for solving global optimization problems. Knowledge-BasedSystems, 2018, 156(9): 12-42.

11.X. E. Jiang, S. S. Wei*, D. C. Zhegn, P.Huang and C. Y. Liu*. Changes of bilateral pulse transit time difference with one side ofarm moving, Technology and Health Care, 2018, 26: S113-S119.

12.Y. T. Zhang*, S. S. Wei, L. Zhang and C.Y. Liu. Comparing performance of Random Forest,SVM and their variants for ECG quality assessment combined with nonlinear features.Journal of Medical and Biological Engineering, 2018, accepted,DOI: 10.1007/s40846-018-0411-0

13.Y. R. Xia, L. C. Yang*, L. Zunino, H. Y. Shi, Y. Zhuang and C.Y. Liu*.Application of permutation entropy and permutation min-entropy in multipleemotional states analysis of RRI time series. Entropy, 2018, 20(3):430(1)-430(11).

14.Y. Wang, S. S. Wei*, S. Zhang, Y. T.Zhang, L. Z. Zhao, C. Y. Liu* and A. Murray. Comparison of thevariability of HRV indices between inter- and intra-subject: an observationalstudy for normal sinus rhythm subjects and congestive heart failure patients. BiomedicalSignal Processing and Control, 2018, 42(1): 30-36.

15.L. Z. Ji, C. Y. Liu, X. P. Wang, J. Yang and C.C. Liu*. Increased pulse wave transit time after percutaneous coronary interventionprocedure in CAD patients. Scientific Reports, 2018, 8: 115(1)-115(7).

16.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 sclerosisand blood pressure variability in essential hypertension patients. Computersin Biology and Medicine, 2018, 92(1): 73-77.

2017

17.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. PhysiologicalMeasurement, 2017,38(8): E10-21.

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

19.F. Pan, P. Y. He*, C. Y. Liu, T. Y. Li, A.Murray and D. C. Zheng. Variation of Korotkoffstethoscope sounds during blood pressure measurement: Analysis using aconvolutional neural network. IEEE Journal of Biomedical and HealthInformatics,2017, 21(6): 1593-1598.

20.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, 50(6): 744-747.

21.C. Y. Liu* and R.Gao*. Multiscale entropy analysis of thedifferential RR interval time series signal and its application in detecting congestiveheart failure. Entropy, 2017, 19: Article ID 251.

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

23.Q. Qin, J. Q. Li*, L. Zhang, Y. G. Yue, C. Y. Liu. Combininglow-dimensional wavelet features and support vector machine for arrhythmia beatclassification. Scientific Reports, 2017, 7: 6067.

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

25.H. Y. Shi, L. C. Yang*, L. L. Zhao, Z. H. Su, X. Q. Mao, L. Zhangand C. Y. Liu*. Differences of heart rate variability betweenhappiness and sadness emotion states: a comprehensive comparison fortime-domain, frequency-domain and nonlinear indices. Journal of Medicaland Biological Engineering, 2017, 37(4): 527-539.

26.Q. Qin, J. Q. Li*, Y. G. Yue, C. Y. Liu. An adaptiveand time-efficient ECG R-peak detection algorithm, Journal of HealthcareEngineering, 2017,Article ID 5980541, 14 pages.

27.G. Da Poian, C.Y. Liu, R. Rinaldoand G. D. Clifford*. Compressive sensing for ECG signalsand its effect on atrial fibrillation detection. PhysiologicalMeasurement, 2017,38(7): 1405-1425.

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

29.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-Tompkinsbased QRS detection methods through low-quality ECG database, Journal ofMedical Imaging and Health Informatics, 2017, 7(5): 1039-1043.

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

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

32.X. E. Jiang, S. S. Wei*, D. C. Zhegn, F.F. Liu, S. Q. Zhang, Z. M. Zhang and C. Y. Liu*. Change ofbilateral difference in radial artery pulse morphology with one-side armmovement, Artery Research, 2017, 19: 1-8.

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

34.F. Li, L. C. Yang*, H. Y. Shi and C. Y. Liu*. Differencesin photoplethysmography morphological features and feature time series betweentwo opposite emotions, Artery Research, 2017, 18: 7-13.

2016

35.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. (PMEA2016年度Highlight论文,入选ESI热点论文,学科领域前0.1%)

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

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

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

39.H. Tang* and C. Y. Liu*.Changes of pulse characteristics with increased blood pressure: evidence fromfemoral arterial pulse of anesthetized dog using Gaussian fitting method. Frontiersin Physiology, 2016, 7:404.

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

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

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

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

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

45.C. Y. Liu*, C.Griffiths, A. Murrayand D. C. Zheng. Comparison of stethoscope bell anddiaphragm, and of stethoscope tube length, for clinical blood pressuremeasurement. Blood Pressure Monitoring, 2016, 21(3): 178-183.

2015

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

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

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

49.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 andexternal-cuff-inflation-and-deflation state: a pilot study. PhysiologicalMeasurement, 2015,36(10):2135-2146.

50.C. Y. Liu*, C.Q. Zhang, L. Zhang, L. N. Zhao, C. C. Liu and H. J. Wang. Measuringsynchronization in coupled simulation and coupled cardiovascular time series: Acomparison of different cross entropy measures. Biomedical SignalProcessing and Control, 2015, 21(8): 49-57.

51.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 thecharacteristics of the photoplethysmographic pulse shape: Effect of maximaloxygen uptake and maximal muscular voluntary contraction. BioMed Research International, 2015,Volume 2015, Article ID 752570, 8 pages.

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

2014

53.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. PlosOne, 2014, 9(11): e112895.

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

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

56.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 andfine-tuning procedure to locate maternal and fetal QRS complexes from abdominalECG recordings. Physiological Measurement, 2014, 35(8): 1665-1683.

57.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.

58.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 swarmoptimizer.BioMed Research International,2014, Volume 2014, Article ID 923260, 10 pages

59.C. Y. Liu*, D. C. Zheng*, L. N. Zhaoand C. C. Liu. Gaussian fitting for carotid and radial artery pressure waveformscomparison between normal subjects and heart failure patients. Bio-MedicalMaterials and Engineering, 2014, 24(1): 271-277.

60.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 supportmachine using feature matrix. Journal of Zhejiang University– Science C, 2014, 15(7): 564-573.

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

2013

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

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

64.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 systemsthrough different entropy-based measures. Medical&Biological Engineering & Computing,2013, 51(5): 581-591.

65.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 heartfailure patients in comparison with normal subjects. Journal of PhysiologicalSciences, 2013, 63(3):195-201.

66.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 measureentropy. Computers in Biology and Medicine, 2013,43(2): 100-108.

2012

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

68.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.

2011

69.C. Y. Liu, C. C. Liu*, P.Shao, L. P. Li, X. Sun, X. P. Wang and F. Liu. Comparison of differentthreshold values r for approximate entropy: Application to investigate theheart rate variability between heart failure and healthy control groups. PhysiologicalMeasurement, 2011, 32(2): 167-180. (PMEA2011年度Highlight论文)

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


国际会议论文(*通讯作者)

1.C. Y. Liu*, L. N. Zhao, Z. P. Cai, F. F. Liu, S. S. Wei, J.Q. Li and A. Murray. Effect of ectopicbeats on heart rate variability indices in heart failure patients.2018 World Congress on Medical Physics and Biomedical Engineering,2018, 41: 933(1)-933(4).

2.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 fromthe multiple QRS detectors. 2018 World Congress on Medical Physics andBiomedical Engineering, 2018, 41:321(1)-321(4).

3.Z. P.Cai, J. Q. Li*, K. Luo, Z. G. Wang, X. Y. Zhang, J. Zhang and C. Y. Liu. Effect of myocardial infarction size onthe simulated ECG morphology based on a 3D torso-heart model. 2018World Congress on Medical Physics and Biomedical Engineering, 2018, 41: 238(1)-238(4).

4.X. Y. Zhang, J. Q. Li, Z. P. Cai,S. Y. Ma, J. Zhang and C. Y. Liu. An impulsive noise rejectionfilter for wearable ECG signal processing. 2018 World Congress onMedical Physics and Biomedical Engineering,2018, 41: 97(1)-97(4).

5.H. X. Shang, S. S. Wei*, F. F.Liu and C. Y. Liu.Performance evaluation for the slidingarea-based T wave detection method on the QT database. 2017 Chinese Automation Congress &2017 China Intelligent Manufacturing International Conference, Jinan, China, 2017: 1792:1797.

6.F. F. Liu, S. S. Wei*, Y. B.Li, X. E. Jiang, Z. M. Zhang, H. X. Shang and C. Y. Liu.Effect of ECGsignal 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.

7.L. L. Zhao, L.C. Yang*, H. Y.Shi, Y. R. Xia, F. Li and C. Y. Liu. Evaluation ofconsistency of HRV indices change among different emotions. 2017Chinese Automation Congress & 2017 China Intelligent ManufacturingInternational Conference, Jinan, China, 2017: 4783-4786.

8.Y. Zhuang, L.C. Yang*, Y. R. Xia and C. Y. Liu. Effectof equalities in RRI time serieson permutation entropy under different emotional states. 2017 ChineseAutomation Congress & 2017 China Intelligent Manufacturing InternationalConference, Jinan, China, 2017: 3380-3383.

9.C. Y. Liu*, Q. Li, P. B. Suresha and G. D. Clifford.Combining Multi-source Features and Support Vector Machine for HeartRhythm Classification. Computing in Cardiology 2017, Rennes,France, 2017, 44: 294(1)- 294(4).

10.G. D. Clifford*, C. Y. Liu, B. Moody, I. Silva, Q. Li,A. Johnson and R. Mark. AF Classification from a Short Single Lead ECGRecording: the PhysioNet/Computing in Cardiology Challenge 2017. Computingin Cardiology 2017, Rennes, France, 2017, 44: 469(1)-469(4).

11.L. N. Zhao, S. S. Wei*, H. Tang and C. Y. Liu*.Coupling Analysis for Systolic, Diastolicand RR Interval Time Series Using Multivariable Fuzzy Measure Entropy. Computingin Cardiology 2017, Rennes, France, 2017, 44: 121(1)-121(4).

12.Y. R. Xia, L. C. Yang*, H. Y. Shi, Y. Zhuang and C. Y. Liu*.Changes of Permutation Pattern Entropy and Ordinal Pattern Entropyduring Three Emotion States: Natural, Happiness and Sadness. Computing in Cardiology 2017, Rennes, France, 2017,44: 457(1)-457(4).

13.C. Y. Liu*, Q. Li and G. D.Clifford. Evaluation of the accuracy and noise response of an open-source pulseonset detection algorithm on pulsatile waveform databases. Computing inCardiology 2016, Vancouver, Canada, 2016, 43: 913-916.

14.G. D. Clifford*, C. Y. Liu, B. Moody, D. Springer, I.Silva, Q. Li and R. Mark. Classification of normal/abnormal heart sound recordings:the PhysioNet/Computing in Cardiology Challenge 2016. Computing inCardiology 2016, Vancouver, Canada, 2016, 43: 609-612.

15.Z. M. Zhang, S. S. Wei*, L. P. Li, F. Liu and C. Y. Liu. Comparison of four recovery algorithmsused in compressed sensing for ECG signal processing. Computing inCardiology 2016, Vancouver, Canada, 2016, 43: 401-404.

16.X. P. Wang*, Y. Y. Li, C. Y. Liu, C. C. Liu, L. Z. Jiand H. B. Zeng. Changes in amplitude characteristics of heart sound signals duringexternal-cuff-inflation procedure: a pilot study. Computing in Cardiology2016, Vancouver, Canada, 2016, 43: 517-520.

17.Y. T. Zhang*, S. S. Wei, L. Zhang and C. Y. Liu. A signal quality assessment methodfor mobile ECG based on fuzzy support vector machine and multiple features. InternationalConference on Natural Computation, Fuzzy Systems and Knowledge Discovery(ICNC-FSKD 2016), Changsha, China, 2016.

18.D. Pandit, L. Zhang*, N. Aslam, C. Y. Liu and S. Chattopadhyay. ImprovedAbnormality Detection from Raw ECG Signals using Feature Enhancement. InternationalConference on Natural Computation, Fuzzy Systems and Knowledge Discovery(ICNC-FSKD 2016), Changsha, China, 2016.

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

20.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.

21.D. C. Zheng*, C. Y. Liu, J. Amoore, S.Mieke, A. Murray. Need for re-validation of automated bloodpressure devices for use in unstable conditions. Computing in Cardiology2015, Nice, France, 2015, 42: 17-20.

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

23.Y. T. Zhang*, S. S.Wei, Y. T. Long and C. Y. Liu. Onapplying multi-scale entropy to quality assessment of ECG collected via mobilephone. 2015 34th Chinese Control Conference (CCC), Hangzhou, China, 2015,34: 4767-4771.

24.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. Computingin Cardiology 2014, MIT, USA, 2014, 41: 237-240.

25.C. Y. Liu*, D. C. Zheng, C.Griffithsand A. Murray.Oscillometric waveform difference between cuffinflation and deflation during blood pressure measurement. Computing inCardiology 2014, MIT, USA, 2014, 41: 849-852.

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

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

28.D. Pandit, L. Zhang, C. Y. Liu, N. Aslam, A. Hossain and S. Chattopadhyay. An efficientabnormal beat detection scheme from ECG signals using neural network and ensembleclassifiers. Proceedings of the 8th International Conference on Software,Knowledge, Intelligent Management and Applications (SKIMA 2014), Dhaka,Bangladesh, 2014, Paper ID: 76.

29.C. Y. Liu*and P. Li. Systematic methods for fetal electrocardiographic analysis: determingthe fetal heart rate, RR interval and QT interval. Computing inCardiology 2013, Zaragoza, Spain, 2013, 40: 309-312.

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

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

32.C. Y. Liu*, P. Li, Y. T. Zhang, Y. Zhang, C. C. Liu and S.S. Wei. A construction method of personalized ECGtemplate and its application in premature ventricular contraction recognitionfor ECG mobile phones.Proceedingsof theWorld Congress 2012 on Medical Physics and Biomedical Engineering,Beijing, China, 2012, 39: 585-588.

33.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 testingpattern synchrony: how results vary with different threshold value r.Proceedings of theWorld Congress 2012 on Medical Physics and Biomedical Engineering,Beijing, China, 2012, 39: 485-488.

34.L. P. Li, C. C. Liu*,K. Li, C. Y. Liu. Comparison ofdetrending methods in frequency domain analysis of R-R interval series. Proceedingsof Applied Mechanics and Materials (ICMTMA 2012), Sanya, China, 2012,1359-1362.

35.C. Y. Liu*,P. Li, L. N. Zhao, F. F. Liu and R. X. Wang. Real-time signal qualityassessment for ECGs collected using mobile phones. Computing in Cardiology, Hangzhou,China, 2011, 38: 357-360.

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

37.C. Y. Liu*,P. Li, L. N. Zhao, J. Yang and C. C. Liu. Evaluation method for heart failureusing RR sequence normalized histogram. Computing inCardiology, Hangzhou, China, 2011, 38: 305-308.

38.C. Y. Liu*and L. N. Zhao. A new algorithm of nodes partition using for Ad Hoc networkmodel. Proceedings of 4thIEEE International Conference on Broadband Network & Multimedia Technology(IC-BNMT 2011), Shenzhen, China, 2011, 122-125.

39.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 intervalvariability analysis: a comparison between heart failure and normal controlgroups. Computing in Cardiology, Hangzhou, China, 2011, 38:309-312.

40.X. H. Ruan, C. C. Liu*, C. Y. Liu, X. P. Wangand P. Li. Automatic detection of atrial fibrillation using R-R interval signal.Proceedings of 4thInternational Conference on Biomedical Engineering and Informatics (BMEI 2011), Shanghai, China, 2011, 644-647.

41.S. B. Hu*, C.C. Liu, Y. Du, J.P. Wang, C. Y. Liu, Y. Yang and J. Z. Huo. Medical image registrationbased on special generalized Jensen-Schur measure. Proceedingsof 3rd International Conference on BioMedicalEngineering and Informatics (BMEI 2010), Yantai, China, 2010, 366-370.

42.C. Y. Liu, C. C. Liu*, L. P. Li, Q. G. Zhangand B. Li. Systolic and diastolic time intervalvariability analysis and their relations with heart rate variability, Proceedings of 3rdInternational Conference on Bioinformatics and Biomedical Engineering(ICBBE2009), Beijing, China, 2009, 1-4.

43.L. P. Li, C. C. Liu*, C. Y. Liu, Q. G. Zhangand B. Li. Physiological signal variability analysis based on the largestlyapunov exponent. Proceedings of 2nd International Conferenceon Biomedical Engineering and Informatics (BMEI 2009), Tianjin, China,2009, 1-4.

44.C. C. Liu*, X. Sun, C. Y. Liu, J. J. Gu and M.S. Yu. Non-invasive measurement of arterial pressure-dependent compliance. Proceedingsof 20th Canadian Conference on Electrical and ComputerEngineering (CCECD 2007), Vancouver, Canada, 2007, 213-216.


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

东南大学四牌楼校区中心楼115办公室

Tel025-83793993

E-mail: chengyu@seu.edu.cn or bestlcy@sdu.edu.cn

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

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

  

For more information aboutPhysioNet/CinC Challenges, see:

https://physionet.org/challenge/2016/

https://physionet.org/challenge/2017/

For more information about ChinaPhysiological Signal Challenge, see:

http://www.icbeb.org/Challenge.html

For more information about ICBEBconference, see:

http://www.icbeb.org/index.html