Qiao Li
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20