| AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017 GD Clifford, C Liu, B Moody, HL Li-wei, I Silva, Q Li, AE Johnson, RG Mark 2017 Computing in Cardiology (CinC), 1-4, 2017 | 650 | 2017 |
| An open access database for the evaluation of heart sound algorithms C Liu, D Springer, Q Li, B Moody, RA Juan, FJ Chorro, F Castells, JM Roig, ... Physiological measurement 37 (12), 2181, 2016 | 564 | 2016 |
| An open access database for evaluating the algorithms of electrocardiogram rhythm and morphology abnormality detection F Liu, C Liu, L Zhao, X Zhang, X Wu, X Xu, Y Liu, C Ma, S Wei, Z He, J Li, ... Journal of Medical Imaging and Health Informatics 8 (7), 1368-1373, 2018 | 368 | 2018 |
| Classification of 12-lead ecgs: the physionet/computing in cardiology challenge 2020 EAP Alday, A Gu, AJ Shah, C Robichaux, AKI Wong, C Liu, F Liu, AB Rad, ... Physiological measurement 41 (12), 124003, 2020 | 303 | 2020 |
| An attention-based deep learning approach for sleep stage classification with single-channel EEG E Eldele, Z Chen, C Liu, M Wu, CK Kwoh, X Li, C Guan IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 809-818, 2021 | 224 | 2021 |
| Assessing the complexity of short-term heartbeat interval series by distribution entropy P Li, C Liu, K Li, D Zheng, C Liu, Y Hou Medical & biological engineering & computing 53, 77-87, 2015 | 215 | 2015 |
| Classification of normal/abnormal heart sound recordings: The PhysioNet/Computing in Cardiology Challenge 2016 GD Clifford, C Liu, B Moody, D Springer, I Silva, Q Li, RG Mark 2016 Computing in cardiology conference (CinC), 609-612, 2016 | 208 | 2016 |
| An open source benchmarked toolbox for cardiovascular waveform and interval analysis AN Vest, G Da Poian, Q Li, C Liu, S Nemati, AJ Shah, GD Clifford Physiological measurement 39 (10), 105004, 2018 | 199 | 2018 |
| Analysis of heart rate variability using fuzzy measure entropy C Liu, K Li, L Zhao, F Liu, D Zheng, C Liu, S Liu Computers in biology and Medicine 43 (2), 100-108, 2013 | 156 | 2013 |
| Signal quality assessment and lightweight QRS detection for wearable ECG SmartVest system C Liu, X Zhang, L Zhao, F Liu, X Chen, Y Yao, J Li IEEE Internet of Things Journal 6 (2), 1363-1374, 2019 | 149 | 2019 |
| Improving K-means clustering with enhanced Firefly Algorithms H Xie, L Zhang, CP Lim, Y Yu, C Liu, H Liu, J Walters Applied Soft Computing 84, 105763, 2019 | 137 | 2019 |
| Comparison of different threshold values r for approximate entropy: application to investigate the heart rate variability between heart failure and healthy control groups C Liu, C Liu, P Shao, L Li, X Sun, X Wang, F Liu Physiological Measurement 32 (2), 167-180, 2011 | 137 | 2011 |
| Recent advances in heart sound analysis GD Clifford, C Liu, BE Moody, JM Roig, SE Schmidt, Q Li, I Silva, RG Mark Physiological measurement 38, E10-E25, 2017 | 102 | 2017 |
| Performance analysis of ten common QRS detectors on different ECG application cases F Liu, C Liu, X Jiang, Z Zhang, Y Zhang, J Li, S Wei Journal of healthcare engineering 2018, 2018 | 94 | 2018 |
| A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm D Pandit, L Zhang, C Liu, S Chattopadhyay, N Aslam, CP Lim Computer methods and programs in biomedicine 144, 61-75, 2017 | 93 | 2017 |
| Heart rate variability monitoring for emotion and disorders of emotion J Zhu, L Ji, C Liu Physiological measurement 40 (6), 064004, 2019 | 91 | 2019 |
| Combining low-dimensional wavelet features and support vector machine for arrhythmia beat classification Q Qin, J Li, L Zhang, Y Yue, C Liu Scientific reports 7 (1), 6067, 2017 | 91 | 2017 |
| Classification of 12-lead ECGs: the PhysioNet EA Perez Alday, A Gu, A Shah, C Robichaux, AKI Wong, C Liu, F Liu, ... Computing in Cardiology challenge, 2020 | 90 | 2020 |
| Combining sparse coding and time-domain features for heart sound classification BM Whitaker, PB Suresha, C Liu, GD Clifford, DV Anderson Physiological measurement 38 (8), 1701, 2017 | 90 | 2017 |
| An adaptive and time-efficient ECG R-peak detection algorithm Q Qin, J Li, Y Yue, C Liu Journal of healthcare engineering 2017, 2017 | 84 | 2017 |
Gari CliffordProfessor of Biomed Eng & Biomed Inform, Emory University and Georgia Institute of TechnologyVerified email at physionet.org
