AF Classification from a Short Single Lead ECG Recording: the PhysioNet Computing in Cardiology Challenge 2017 G Clifford, C Liu, B Moody, L Lehman, I Silva, Q Li, AE Johnson, RG Mark IEEE Computing in Cardiology 44, 2017 | 872 | 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 | 713 | 2016 |
Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter Q Li, RG Mark, GD Clifford Physiological measurement 29 (1), 15, 2008 | 495 | 2008 |
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, 2020 | 444 | 2020 |
Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach Q Li, C Rajagopalan, G Clifford IEEE Transactions on Biomedical Engineering 61 (6), 1607 - 1613, 2014 | 340 | 2014 |
ECG signal quality during arrhythmia and its application to false alarm reduction J Behar, J Oster, Q Li, GD Clifford IEEE transactions on biomedical engineering 60 (6), 1660-1666, 2013 | 340 | 2013 |
Signal quality indices and data fusion for determining clinical acceptability of electrocardiograms GD Clifford, J Behar, Q Li, I Rezek Physiological measurement 33 (9), 1419, 2012 | 330 | 2012 |
Signal quality indices and data fusion for determining acceptability of electrocardiograms collected in noisy ambulatory environments GD Clifford, D Lopez, Q Li, I Rezek Computing in Cardiology, 285 - 288, 2011 | 330* | 2011 |
Dynamic time warping and machine learning for signal quality assessment of pulsatile signals Q Li, GD Clifford Physiological Measurement 33 (9), 1491, 2012 | 318 | 2012 |
Classification of normal/abnormal heart sound recordings: the PhysioNet/Computing in Cardiology Challenge 2016 GD Clifford, CY Liu, B Moody, D Springer, I Silva, Q Li, RG Mark Computing in Cardiology, 609-12, 2016 | 277 | 2016 |
An open source benchmarked toolbox for cardiovascular waveform and interval analysis AN Vest, Q Li, C Liu, S Nemati, G Da Poian, AJ Shah, GD Clifford Physiological Measurement, 2018 | 270 | 2018 |
A machine learning approach to multi-level ECG signal quality classification Q Li, C Rajagopalan, GD Clifford Computer Methods and Programs in Biomedicine 117, 435-447, 2014 | 257 | 2014 |
Will two do? Varying dimensions in electrocardiography: the PhysioNet/Computing in Cardiology Challenge 2021 MA Reyna, N Sadr, EAP Alday, A Gu, AJ Shah, C Robichaux, AB Rad, ... 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 199 | 2021 |
You snooze, you win: the physionet/computing in cardiology challenge 2018 MM Ghassemi, BE Moody, HL Li-wei, C Song, Q Li, H Sun, MB Westover, ... Hypertension 40 (41.0), 40.6, 2018 | 192 | 2018 |
Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics SP Shashikumar, MD Stanley, I Sadiq, Q Li, A Holder, GD Clifford, ... Journal of Electrocardiology, 2017 | 186 | 2017 |
A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology SP Shashikumar, AJ Shah, Q Li, GD Clifford, S Nemati Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International …, 2017 | 179 | 2017 |
The physionet/computing in cardiology challenge 2015: Reducing false arrhythmia alarms in the icu GD Clifford, I Silva, B Moody, Q Li, D Kella, A Shahin, T Kooistra, D Perry, ... Computing in Cardiology 42, 2015 | 156 | 2015 |
Signal quality and data fusion for false alarm reduction in the intensive care unit Q Li, GD Clifford Journal of electrocardiology 45 (6), 596-603, 2012 | 156 | 2012 |
An ECG simulator for generating maternal-foetal activity mixtures on abdominal ECG recordings GDC Joachim Behar, Fernando Andreotti, Sebastian Zaunseder, Qiao Li, Julien ... Physiological Measurement 35 (8), 1537, 2014 | 127 | 2014 |
Recent advances in heart sound analysis. GD Clifford, C Liu, BE Moody, JM Roig, SE Schmidt, Q Li, I Silva, RG Mark Physiological measurement, 2017 | 122 | 2017 |