resume
Dr. Liu received his B.S. and Ph.D. degrees in Biomedical Engineering from Shandong
University, China, in 2005 and 2010 respectively. Dr. Liu has completed the Postdoctoral trainings at Shandong University, Newcastle University in UK and Emory University in USA. He is currently a Professor at Southeast University, and is served as the Director of Wearable Heart-Sleep-Emotion Intelligent Monitoring Lab in Southeast University, leading the research works on cardiovascular signals processing, machine learning, medical device development and clinical applications, including individual monitoring, critical care, homecare, emotion and sleep studies etc. He was the PI on 10+ awarded grants attracting a total of over $1 million. He has published more than 100 SCI indexed Journal papers, 20+ invention patents. He won the 20th PhysioNet/CinC Challenge 2019, the only "Lenovo Young Scientist" title in 2017, the "Outstanding Contribution Award" from the MIT PhysioNet, the second prize for Technological Invention award of Shandong Province in 2016. He is now a Federation Journal Committee Member of IFMBE, the chair for China Physiological Signal Challenge, an Associate Editor for JMMB and JMIHI, an International Advisory Board Member for PMEA, etc. His research topics include: wearable ECG, fetal ECG, blood pressure, heart sound measurements, intelligent monitoring, machine learning and big data processing for physiological signals, device development for CADs, sleep and emotion monitoring.
professional ranks and titles
professor
Tutor Information
Doctoral Supervisor
Teaching Work
Couse ID 22123051 -- “Error theory and data processing” -- Undergraduate students, spring term
Couse ID B022101 -- “Modern Signal Processing Theory and Application”-- PhD and Master students, autumn term
Part-time Academic Job
Member of the Federation Journal Committee (FJC) of International Federation for Medical and Biological Engineering (IFMBE) (2016.01-2021.12)
Research direction
1. Machine learning and big data processing methods for physiological signals Signal acquisition, quality assessment and features detection in telemedicine Machine learning and deep learning Information mining
2. Non-linear and optimization methods in medical physics Statistical stability and evolution mechanism study for entropy Optimization algorithm Assessment methods for signal complexity, regularity and predictability
3. Device development for cardiovascular disease, sleep and emotion monitoring Mobile and wearable ECG, pulse, blood pressure monitoring device Investigate novel non-invasive methods for the detection of heart failure, hypertension, atherosclerosis and arrhythmia Solutions for sleep and emotion state monitoring
SCI Journal Papers
2019
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 wearable ECG SmartVest system. IEEE Internet of Things Journal, 2019, 6(2): 1363-1374. (IF 9.515)
2.C. Y. Liu*, L. K. Pan. Editorial: Advances in computer-aided medical systems and clinical measurement. Computer Aided Surgery, 2019, doi: 10.1080/24699322.2019.1649079. (IF 1.200)
3.C. Y. Liu*, L. K. Pan. Editorial: Advances in Minimally Invasive Surgery and Clinical Measurement. Computer Aided Surgery, 2019, doi: 10.1080/24699322.2018.1560103. (IF 1.200)
4.H. L. Xie, L. Zhang*, C. P. Lim, Y. H. Yu, C. Y. Liu, H. Liu and J. Walters.Improving K-means clustering with enhanced firefly algorithms. Applied Soft Computing, 2019, 84: 105763. (IF 4.873)
5.J. L. Xiong, X. Y. Liang, T. T. Zhu, L. N. Zhao, J. Q. Li and C. Y. Liu*. A new physically meaningful threshold of sample entropy for detecting cardiovascular diseases. Entropy, 2019, 21: 830(1)-830(20). (IF 2.419)
6.H. X. Gao, C. Y. Liu*, X. Y. Wang, L. N. Zhao, Q. Shen, E. Y. K. Ng and J. Q. Li. An open-access ECG database for algorithm evaluation of QRS detection and heart rate estimation. Journal of Medical Imaging and Health Informatics, 2019, 9(9): 1853-1858. (IF 0.499)
7.B. S. Lin, P. Y. Yang, C. F. Liu, Y. C. Huang, C. Y. Liu and B. S. Lin*. Design of Novel Field Programmable Gate Array-Based Hearing Aid. IEEE Access, 2019, 7(1): 63809-63817. (IF 4.098)
8.Z. H. Qu, Q. W. Liu and C. Y. Liu*. Classification of Congestive Heart Failure with Different NYHA Functional Classes Based on HRV Indices and Machine Learning. Expert Systems, 2019, 36(3): e12396(1)- e12396(13). (IF 1.505)
9.J. P. Zhu, L. Z. Ji and C. Y. Liu*. Heart rate variability monitoring for emotion and disorders of emotion. Physiological Measurement, 2019, DOI: https://doi.org/10.1088/1361-6579/ab1887. (IF 2.246)
10.B. S. Lin, C. F. Liu, C. J. Cheng, J. J. Wang, C. Y. Liu, J. Q. Li and B. S. Lin*. Development of novel hearing aids by using image recognition technology. IEEE Journal of Biomedical and Health Informatics, 2019, 23(3): 1163-1170. (IF 4.217)
11.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, 2019, 39(3): 381-392. (IF 1.306)
12.H. X. Shang, S. S. Wei*, F. F. Liu, D. W. Wei, L. Chen and C. Y. Liu*. An improved sliding window area method for T wave detection. Computational and Mathematical Methods in Medicine, 2019, Article ID 3130527(1)- 3130527(11). (IF 1.563)
13.L. L. Zhao, L. C. Yang*, Z. H. Su and C. Y. Liu*. Cardiorespiratory Coupling Analysis Based on Entropy and Cross-Entropy in Distinguishing Different Depression Stages. Frontiers in Physiology, 2019, 10: 359(1)-359(14). (IF 3.201)
14.Y. T. Xie, J. Q. Li*, T. T. Zhu and C. Y. Liu *. Continuous-Valued Annotations Aggregation for Heart Rate Detection. IEEE Access, 2019, 7(1): 37664-37671. (IF 4.098)
15.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, 7(1): 37228-37237. (IF 4.098)
16.Y. W. Li, W. T. Chen, D. Y. Liu, Z. M. Zhang, S. X. We* and C. Y. Liu *. IFFLC: an Integrated Framework of Feature Learning and Classification for Multiple Diagnosis Codes Assignment. IEEE Access, 2019, 7(1): 36810-36818. (IF 4.098)
17.Z. P. Cai, J. Q. Li*, K. Luo, B. S. Lin, Z. G. Wang, X. Y. Zhang, J. Zhang and C. Y. Liu *. Effects of inferior myocardial infarction sizes and sites on simulated electrocardiograms based on a torso-heart model. IEEE Access, 2019, 7(1): 35470-35479. (IF 4.098)
18.Z. Y. Zhao, C. Y. Liu*, Y. W. Li, Y. X. Li, J. Y. Wang, B. S. Lin and J. Q. Li. Noise rejection for wearable ECGs using modified frequency slice wavelet transform and convolutional neural networks. IEEE Access, 2019, 7(1): 34060-34067. (IF 4.098)
19.Q. Qin, J. Q. Li*, S. S. Yao, C. Y. Liu, H. Huang and Y. Zhu*. Electrocardiogram of a Silver Nanowire Based Dry Electrode: Quantitative Comparison with the Standard Ag/AgCl Gel Electrode. IEEE Access, 2019, 7(1): 20789-20800. (IF 4.098)
20.B. Y. Hu, S. S. Wei*, D. W. Wei, L. N. Zhao, G. H. Zhu and C. Y. Liu*. Multiple Time Scales Analysis for Identifying Congestive Heart Failure based on Heart Rate Variability. IEEE Access, 2019, 7(1): 17862-17871. (IF 4.098)
21.L. N. Zhao, C. Y. Liu*, S. S. Wei, C. C. Liu and J. Q. Li. Enhancing Detection Accuracy for Clinical Heart Failure Utilizing Pulse Transit Time Variability and Machine Learning. IEEE Access, 2019, 7(1): 17716-17724. (IF 4.098)
22.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 photoplethysmographic signal features between healthy and sleep apnea patients during five sleep stages. Journal of Medical Imaging and Health Informatics, 2019, 9(1): 63–69. (IF 0.499)
23.Y. Li, P. Li, X. P. Wang, C. Karmakar, C. C. Liu* and C. Y. Liu. Short-term QT interval variability in patients with coronary artery disease and congestive heart failure: a comparison with healthy control subjects. Medical & Biological Engineering & Computing, 2019, 57 (2), 389-400. (IF 2.039)
2018
24.C. Y. Liu*, J. Oster, Q. Li, L. Z. Zhao, S. Nemati and G. D. Clifford. A comparison of entropy approaches for AF discrimination. Physiological Measurement, 2018, 39(7): 74002(1)-74002(18). (IF 2.246)
25.C. Y. Liu*, F. Liu, L. Zhang, Y. Su and A. Murray. Editorial: Smart Wearables in Healthcare: Signal Processing, Device Development, and Clinical Applications. Journal of Healthcare Engineering, 2018, ID 1696924(1)-1696924(2). (IF 1.295)
26.Q. Li, Q. C. Li, C. Y. Liu, S. P. Shashikumar, S. Nemati and G. D. Clifford*. Deep learning in the cross-time-frequency domain for sleep staging from a single lead electrocardiogram. Physiological Measurement, 2018, 39(12): 124005(1)-124005(12). (IF 2.246)
27.L. N. Zhao#, C. Y. Liu*,#, S. S. Wei*, Q. Shen, F. Zhou and J. Q. Li. A new entropy-based atrial fibrillation detection method for scanning wearable ECG recordings. Entropy, 2018, 20: 904(1)-904(15). (IF 2.419)
28.A. N. Vest, G. D. Poian, Q. Li, C. Y. Liu, S. Nemati, A. J. Shah, G. D. Clifford*. An Open Source Benchmarked Toolbox for Cardiovascular Waveform and Interval Analysis. Physiological Measurement, 2018, 39(10): 105004(1)-105004(23). (IF 2.246)
29.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 Support Vector Machine Classifier. Physiological Measurement, 2018, 39(11): 115005(1)-115005(13). (IF 2.246)
30.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. (IF 0.969)
31.X. L. Chi#, X. Y Wang#, Z. R. Guo, H. H. Man*, H. X. Xu*, Y. C. Wangand C. Y. Liu*. Relationships between blood pressure variability and silent cerebral infarction in patients with primary hypertension. Artery Research, 2018, 24: 40-46. (IF 0.969)
32.J. Zhang, L. C. Yang*, Z. H. Su, X. Q. Mao, K. Luo and C. Y. Liu*. Photoplethysmogram signal quality assessment using support vector machine and multi-feature fusion. Journal of Medical Imaging and Health Informatics, 2018, 8(9): 1757–1762. (IF 0.499)
33.Y. T. Zhang*, C. Y. Liu, S. S. Wei, Y. G. Liu and H. Liu. Complexity Analysis of Physiological Time Series Using a Novel Permutation-Ratio Entropy. IEEE Access, 2018, 6: 67653-67664. (IF 4.098)
34.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. (IF 4.098)
35.Y. W. Li#, Y. Zhang#, L. N. Zhao#, Y. Zhang#, C. Y. Liu*, L. Zhang, L. X. Zhang, Z. S. Li, B. H. Wang, EYK. Ng, J. Q. Li, Z. Q. He*. Combining convolutional neural network and distance distribution matrix for identification of congestive heart failure. IEEE Access, 2018, 6: 39734- 39744. (IF 4.098)
36.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. (IF 0.499)
37.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. (IF 0.499)
38.H. Tang*, Z. Y. Dai, Y. L. Jian, T. Li, C. Y. Liu*. PCG Classification Using Multidomain Features and SVM Classifier. BioMed Research International, 2018, Article ID 4205027. (IF 2.197)
39.X. Y. Xu, S. S. Wei*, C. Y. Ma, K. Luo, L. Zhang and C. Y. Liu*. Atrial fibrillation beat identification using the combination of modified frequency slice wavelet transform and convolution neural networks. Journal of Healthcare Engineering, 2018, Article ID 2102918. (1.295)
40.F. F. Liu, S. S. Wei*, Y. B. Li, X. E. Jiang, Z. M. Zhang and C. Y. Liu*. Performance analysis of ten common QRS detectors on different ECG application cases. Journal of Healthcare Engineering, 2018, Article ID 9050812. (IF 1.295)
41.D. Pandit, L. Zhang*, S. Chattopadhyay, C. P. Lim and C. Y. Liu. A scattering and repulsive swarm intelligence algorithm for solving global optimization problems. Knowledge-Based Systems, 2018, 156(9): 12-42. (IF 5.101)
42.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 of arm moving, Technology and Health Care, 2018, 26: S113-S119. (IF 0.787)
43.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 multiple emotional states analysis of RRI time series. Entropy, 2018, 20(3): 430(1)-430(11). (IF 2.419)
44.Y. Wang, S. S. Wei*, S. Zhang, Y. T. Zhang, L. Z. Zhao, C. Y. Liu* and A. Murray. Comparison of the variability of HRV indices between inter- and intra-subject: an observational study for normal sinus rhythm subjects and congestive heart failure patients. Biomedical Signal Processing and Control, 2018, 42(1): 30-36. (IF 2.943)
45.L. Z. Ji, C. Y. Liu, X. P. Wang, J. Yang and C.C. Liu*. Increased pulse wave transit time after percutaneous coronary intervention procedure in CAD patients. Scientific Reports, 2018, 8: 115(1)-115(7). (IF 4.011)
46.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, 2018, 92(1): 73-77. (IF 2.286)
2017
47.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. (IF 2.246)
48.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: 251(1)-251(19). (IF 2.419)
49.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. (IF 1.166)
50.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-E21. (IF 2.246)
51.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, 21(6): 1593-1598. (IF 4.217)
52.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. (IF 2.246)
53.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(1)-6067(12). (IF 4.011)
54.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. (IF 2.246)
55.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 pilot study. Journal of Medical and Biological Engineering, 2017, 37(4): 527-539. (IF 1.306)
56.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, 2017: 5980541(1)-5980541(14). (IF 1.295)
57.G. Da Poian, C. Y. Liu, R. Rinaldo and G. D. Clifford*. Atrial fibrillation detection on compressed sensed ECG. Physiological Measurement, 2017, 38(7): 1405-1425. (IF 2.246)
58.Z. P. Cai, K. Luo, C. Y. Liu and J. Q. Li*. Design of a smart ECG garment based on conductive textile electrode and flexible printed circuit board, Technology and Health Care, 2017, 25(4):815-821. (IF 0.787)
59.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. (IF 0.499)
60.Y. R. Xia, L. C. Yang*, X. Q. Mao, D. C. Zheng and C. Y. Liu*. Quantification of vascular function changes under different emotion states: a pilot study. Technology and Health Care, 2017, 25(3): 447-456. (IF 0.787)
61.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. (IF 0.787)
62.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. (IF 0.969)
63.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. (IF 3.424)
64.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. (IF 0.969)
2016
65.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. (IF 2.246)
66.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. (IF 2.246)
67.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. (IF 1.008)
68.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: 430(1)-430(15). (IF 2.419)
69.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(1)-e5015(8). (IF 1.870)
70.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(1)-404(14). (IF 3.201)
71.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(1)-246(13). (IF 2.419)
72.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. (IF 1.306)
73.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. (IF 4.491)
74.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(1)-153(16). (IF 2.419)
75.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. (IF 3.424)
2015
76.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(1)-e1831(6). (IF 1.870)
77.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. (IF 2.943)
78.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. (IF 1.306)
79.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. (IF 2.419)
80.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. (IF 2.246)
81.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, 2015: 752570(1)-752570(8). (IF 2.197)
82.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. (IF 2.039)
2014
83.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(1)-e112895(7). (IF 2.776)
84.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. (IF 2.246)
85.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, 2014: 923260(1)-923260(10). (IF 2.197)
86.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. (IF 0.993)
87.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. (IF 0.758)
88.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(1)-6685(6). (IF 4.011)
89.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. (IF 2.246)
90.Y. T. Zhang, C. Y. Liu, S. S. Wei*, C. Z. Wei and F. F. Liu. ECG quality assessment based on a kernel support vector machine and genetic algorithm with a feature matrix. Journal of Zhejiang University – Science C, 2014, 15(7): 564-573. (IF 1.215)
91.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. (IF 1.894)
2013
92.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. (IF 2.943)
93.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. (IF 3.341)
94.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. (IF 2.286)
95.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(1)-120512(9). (in Chinese) (IF 0.644)
96.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. (IF 2.039)
2012
97.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. (IF 1.306)
98.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. (IF 1.306)
2011
99.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. (IF 2.246)
100.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. (IF 1.882)
International Conference Papers
2019
1.A. Murray*, D. C. Zheng, C. Y. Liu, D. Graham, J. Neasham, A. Cossor and C. Griffiths. Variability in Blood Pressure Measurements from Recorded Auscultation Sounds. Computing in Cardiology 2019, Singapore, 2019.
2.M. C. Yang, X. Y. Wang, H. X. Gao, Y. W. Li, X. Liu, J. Q. Li* and C. Y. Liu*. Early Prediction of Sepsis Using Multi-Feature Fusion Based XGBoost Learning and Bayesian Optimization. Computing in Cardiology 2019, Singapore, 2019.
3.Y. Li, F. Zhou, L. N. Zhao, X. Y. Zhang, J. Q. Li* and C. Y. Liu*. Anti-interference Ability Analysis for Common Atrial Fibrillation Features. Computing in Cardiology 2019, Singapore, 2019.
4.J. L. Xiong, X. Y. Liang and C. Y. Liu*. A New Entropy-Based Heart Failure Detector. Computing in Cardiology 2019, Singapore, 2019.
5.Z. Y. Zhao, X. Y. Wang, Z. P. Cai, J. Q. Li and C. Y. Liu*. PVC Recognition for Wearable ECGs using Modified Frequency Slice Wavelet Transform and Convolutional Neural Network. Computing in Cardiology 2019, Singapore, 2019.
6.H. Yang, M. L. Huang, Z. P. Cai, Y. J. Yao and C. Y. Liu*. A Faster R CNN-Based Real-Time QRS Detector. Computing in Cardiology 2019, Singapore, 2019.
7.Z. P. Cai, J. Q. Li*, X. Y. Zhang, Q. Shen, A. Murray and C. Y. Liu*. How Accurate are ECG Parameters from Wearable Single-lead ECG System for 24-hours Monitoring? Computing in Cardiology 2019, Singapore, 2019.
8.Q. Qin, J. Q. Li* and C. Y. Liu. Multi-classification of Cardiac Diseases Utilizing Wavelet Thresholding and Support Vector Machine. 2019 International Conference on Frontiers of Biological Sciences and Engineering (FBSE), 2019, 2058(1): 020026.
2018
9.Y. W. Zhang, J. X. Yu, Y. Zhang*, C. Y. Liu* and J. Q. Li. A Convolutional Neural Network for Identifying Premature Ventricular Contraction Beat and Right Bundle Branch Block Beat. 2018 International Conference on Sensor Networks and Signal Processing (SNSP), 2018, 158-162.
10.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).
11.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).
12.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 on the simulated ECG morphology based on a 3D torso-heart model. 2018 World Congress on Medical Physics and Biomedical Engineering, 2018, 41: 238(1)-238(4).
13.X. Y. Zhang, J. Q. Li, Z. P. Cai, S. Y. Ma, J. Zhang and C. Y. Liu. An impulsive noise rejection filter for wearable ECG signal processing. 2018 World Congress on Medical Physics and Biomedical Engineering, 2018, 41: 97(1)-97(4).
14.C. E. Valderrama, F. Marzbanrad, L. Stroux, B. Martinez, R. H. Clifford, C. Y. Liu, N. Katebi, P. Rohloff, G. D. Clifford*. Improving the quality of point of care diagnostics with real-time machine learning in low literacy LMIC settings. 2018 The 1st ACM SIGCAS Conference, 2018, Article ID: 2.
2017
15.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.
16.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.
17.L. L. Zhao, L.C. Yang*, H. Y. Shi, Y. R. Xia, F. Li and C. Y. Liu. Evaluation of consistency of HRV indices change among different emotions. 2017 Chinese Automation Congress & 2017 China Intelligent Manufacturing International Conference, Jinan, China, 2017: 4783-4786.
18.Y. Zhuang, L.C. Yang*, Y. R. Xia and C. Y. Liu. Effect of equalities in RRI time series on permutation entropy under different emotional states. 2017 Chinese Automation Congress & 2017 China Intelligent Manufacturing International Conference, Jinan, China, 2017: 3380-3383.
19.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, 44: 294(1)- 294(4).
20.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, 44: 469(1)-469(4).
21.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, 44: 121(1)-121(4).
22.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, 44: 457(1)-457(4).
2016
23.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, 43: 913-916.
24.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 in Cardiology 2016, Vancouver, Canada, 2016, 43: 609-612.
25.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, 43: 401-404.
26.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, 43: 517-520.
27.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. International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2016), Changsha, China, 2016, 12: 966-971.
28.D. Pandit, L. Zhang*, N. Aslam, C. Y. Liu and S. Chattopadhyay. Improved Abnormality Detection from Raw ECG Signals using Feature Enhancement. International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2016), Changsha, China, 2016, 12: 1402-1406.
2015
29.C. Y. Liu*, D. C. Zheng, C. Griffiths and A. Murray. Comparison of repeatability of blood pressure measurements between oscillometric and auscultatory methods. Computing in Cardiology 2015, Nice, France, 2015, 42: 1073-1076.
30.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.
31.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.
32.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.
33.Y. T. Zhang*, S. S. Wei, Y. T. Long and C. Y. Liu. On applying multi-scale entropy to quality assessment of ECG collected via mobile phone. 2015 34th Chinese Control Conference (CCC), Hangzhou, China, 2015, 34: 4767-4771.
2014
34.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.
35.C. Y. Liu*, D. C. Zheng, C. Griffiths and A. Murray. Oscillometric waveform difference between cuff inflation and deflation during blood pressure measurement. Computing in Cardiology 2014, MIT, USA, 2014, 41: 849-852.
36.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.
37. 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.
38.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. Proceedings of the 8th International Conference on Software, Knowledge, Intelligent Management and Applications (SKIMA 2014), Dhaka, Bangladesh, 2014, Paper ID: 76.
2013
39.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.
40.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.
41.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.
2012
42.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. Proceedings of the World Congress 2012 on Medical Physics and Biomedical Engineering, Beijing, China, 2012, 39: 585-588.
43.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. Proceedings of the World Congress 2012 on Medical Physics and Biomedical Engineering, Beijing, China, 2012, 39: 485-488.
44.L. P. Li, C. C. Liu*, K. Li, C. Y. Liu. Comparison of detrending methods in frequency domain analysis of R-R interval series. Proceedings of Applied Mechanics and Materials (ICMTMA 2012), Sanya, China, 2012, 1359-1362.
2011
45.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.
46.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.
47.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.
48.C. Y. Liu* and L. N. Zhao. A new algorithm of nodes partition using for Ad Hoc network model. Proceedings of 4th IEEE International Conference on Broadband Network & Multimedia Technology (IC-BNMT 2011), Shenzhen, China, 2011, 122-125.
49.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.
50.X. H. Ruan, C. C. Liu*, C. Y. Liu, X. P. Wang and P. Li. Automatic detection of atrial fibrillation using R-R interval signal. Proceedings of 4th International Conference on Biomedical Engineering and Informatics (BMEI 2011), Shanghai, China, 2011, 644-647.
2010 and before
51.S. B. Hu*, C. C. Liu, Y. Du, J. P. Wang, C. Y. Liu, Y. Yang and J. Z. Huo. Medical image registration based on special generalized Jensen-Schur measure. Proceedings of 3rd International Conference on BioMedical Engineering and Informatics (BMEI 2010), Yantai, China, 2010, 366-370.
52.C. Y. Liu, C. C. Liu*, L. P. Li, Q. G. Zhang and B. Li. Systolic and diastolic time interval variability analysis and their relations with heart rate variability, Proceedings of 3rd International Conference on Bioinformatics and Biomedical Engineering (ICBBE2009), Beijing, China, 2009, 1-4.
53.L. P. Li, C. C. Liu*, C. Y. Liu, Q. G. Zhang and B. Li. Physiological signal variability analysis based on the largest lyapunov exponent. Proceedings of 2nd International Conference on Biomedical Engineering and Informatics (BMEI 2009), Tianjin, China, 2009, 1-4.
54.C. C. Liu*, X. Sun, C. Y. Liu, J. J. Gu and M. S. Yu. Non-invasive measurement of arterial pressure-dependent compliance. Proceedings of 20th Canadian Conference on Electrical and Computer Engineering (CCECD 2007), Vancouver, Canada, 2007, 213-216.
Contact information
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