Gari Clifford
Gari Clifford
Professor of Biomed Eng & Biomed Inform, Emory University and Georgia Institute of Technology
Підтверджена електронна адреса в - Домашня сторінка
A dynamical model for generating synthetic electrocardiogram signals
PE McSharry, GD Clifford, L Tarassenko, LA Smith
IEEE transactions on biomedical engineering 50 (3), 289-294, 2003
Advanced methods and tools for ECG data analysis
GD Clifford, F Azuaje, PE McSharry
Cambridge, Massachusetts, 384, 2006
Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II): a public-access intensive care unit database
M Saeed, M Villarroel, AT Reisner, G Clifford, LW Lehman, G Moody, ...
Critical care medicine 39 (5), 952, 2011
A nonlinear Bayesian filtering framework for ECG denoising
R Sameni, MB Shamsollahi, C Jutten, GD Clifford
IEEE Transactions on Biomedical Engineering 54 (12), 2172-2185, 2007
A review of fetal ECG signal processing; issues and promising directions
R Sameni, GD Clifford
The open pacing, electrophysiology & therapy journal 3, 4, 2010
Automated De-Identification of Free-Text Medical Records
I Neamatullah, MM Douglass, HL Li-wei, A Reisner, M Villarroel, WJ Long, ...
BMC medical informatics and decision making 8 (32), 2008
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, 2007
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
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
An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU
S Nemati, A Holder, F Razmi, MD Stanley, GD Clifford, TG Buchman
Critical Care Medicine 46 (4), 547-553, 2018
Application of independent component analysis in removing artefacts from the electrocardiogram
T He, G Clifford, L Tarassenko
Neural Computing & Applications 15 (2), 105-116, 2006
Quantifying errors in spectral estimates of HRV due to beat replacement and resampling
GD Clifford, L Tarassenko
IEEE transactions on biomedical engineering 52 (4), 630-638, 2005
Logistic regression-HSMM-based heart sound segmentation
DB Springer, L Tarassenko, GD Clifford
IEEE Transactions on Biomedical Engineering 63 (4), 822-832, 2015
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, 285-8, 2011
Machine learning and decision support in critical care
AEW Johnson, MM Ghassemi, S Nemati, KE Niehaus, DA Clifton, ...
Proceedings of the IEEE 104 (2), 444-466, 2016
ECG Signal Quality During Arrhythmia and its Application to False Alarm Reduction
J Behar, J Oster, Q Li, GD Clifford
Transactions on Biomedical Engineering 60 (6), 1660-1666, 2013
Ventricular fibrillation and tachycardia classification using a machine learning approach
Q Li, C Rajagopalan, GD Clifford
IEEE Transactions on Biomedical Engineering 61 (6), 1607-1613, 2013
Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform
A Aboukhalil, L Nielsen, M Saeed, RG Mark, GD Clifford
Journal of biomedical informatics 41 (3), 442-451, 2008
Dynamic time warping and machine learning for signal quality assessment of pulsatile signals
Q Li, GD Clifford
Physiological measurement 33 (9), 1491, 2012
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