Qiao Li
Qiao Li
Postdoctoral Research Fellow in IBME, Dept. Engineering Science, University of Oxford
Підтверджена електронна адреса в eng.ox.ac.uk
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
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
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
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
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
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
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
Dynamic time warping and machine learning for signal quality assessment of pulsatile signals
Q Li, GD Clifford
Physiological Measurement 33 (9), 1491, 2012
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
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
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
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
Artificial arterial blood pressure artifact models and an evaluation of a robust blood pressure and heart rate estimator
Q Li, RG Mark, GD Clifford
BioMedical Engineering OnLine 8 (1), 13, 2009
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
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
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
Open source Java-based ECG analysis software and Android app for atrial fibrillation screening
J Oster, J Behar, R Colloca, Q Li, Q Li, GD Clifford
Computing in Cardiology Conference (CinC), 2013, 731-734, 2013
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
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
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
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