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Gari D. Clifford

Gari D. Clifford

D-Index & Metrics

Computer Science

D-Index
75
Citations
24947
World Ranking
1406
National Ranking
729

Overview

Gari D. Clifford is affiliated with Emory University in the United States and has a strong research presence in the field of medicine, with a particular focus on cardiology and cardiovascular medicine. Their work spans several subfields including clinical psychology, cognitive neuroscience, epidemiology, and biomedical engineering.

Their research topics cover a range of areas in medical science, including:

  • ECG Monitoring and Analysis
  • Posttraumatic Stress Disorder Research
  • Heart Rate Variability and Autonomic Control
  • Traumatic Brain Injury Research
  • Non-Invasive Vital Sign Monitoring
  • EEG and Brain-Computer Interfaces
  • Phonocardiography and Auscultation Techniques

Clifford has contributed to numerous publications, particularly in venues such as UNC Libraries, arXiv (Cornell University), and bioRxiv (Cold Spring Harbor Laboratory). Other frequent publication venues include Physiological Measurement and the Journal of Electrocardiology.

Some of their recent papers include:

  • Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020, 2020, Physiological Measurement
  • Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021, 2021, 2021 Computing in Cardiology (CinC)
  • The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification, 2021, IEEE Journal of Biomedical and Health Informatics
  • Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • The 2023 wearable photoplethysmography roadmap, 2023, Physiological Measurement

Clifford frequently collaborates with other researchers, including Thomas C. Neylan, Sarah D. Linnstaedt, Samuel A. McLean, Francesca L. Beaudoin, and Karestan C. Koenen. Their collaborations reflect a diverse set of interests aligned with their medical and psychological research focuses.

Best Publications

  • A dynamical model for generating synthetic electrocardiogram signals

    P.E. McSharry;G.D. Clifford;L. Tarassenko;L.A. Smith

  • Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database.

    Mohammed Saeed;Mauricio Villarroel;Andrew T. Reisner;Gari Clifford;Gari Clifford

  • Advanced Methods And Tools for ECG Data Analysis

    Gari D. Clifford;Francisco Azuaje;Patrick McSharry

  • AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017

    Gari D Clifford;Chengyu Liu;Benjamin Moody;Li-wei H. Lehman

  • An open access database for the evaluation of heart sound algorithms.

    Chengyu Liu;David Springer;Qiao Li;Benjamin Moody

  • A Nonlinear Bayesian Filtering Framework for ECG Denoising

    R. Sameni;M.B. Shamsollahi;C. Jutten;G.D. Clifford

  • Logistic Regression-HSMM-Based Heart Sound Segmentation

    David B. Springer;Lionel Tarassenko;Gari D. Clifford

  • Automated de-identification of free-text medical records

    Ishna Neamatullah;Margaret M Douglass;Li-wei H Lehman;Andrew Tomas Reisner

  • A Review of Fetal ECG Signal Processing; Issues and Promising Directions.

    Reza Sameni;Gari D. Clifford

  • Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter.

    Q Li;R G Mark;G D Clifford

  • Machine Learning and Decision Support in Critical Care

    Alistair E. W. Johnson;Mohammad M. Ghassemi;Shamim Nemati;Katherine E. Niehaus

  • Quantifying errors in spectral estimates of HRV due to beat replacement and resampling

    G.D. Clifford;L. Tarassenko

  • Signal quality indices and data fusion for determining clinical acceptability of electrocardiograms

    G D Clifford;J Behar;Q Li;Q Li;I Rezek

  • ECG Signal Quality During Arrhythmia and Its Application to False Alarm Reduction

    J. Behar;J. Oster;Qiao Li;G. D. Clifford

  • Application of independent component analysis in removing artefacts from the electrocardiogram

    Taigang He;Gari Clifford;Lionel Tarassenko

  • Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020.

    Erick A Perez Alday;Annie Gu;Amit J Shah;Chad Robichaux

  • Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach

    Qiao Li;Cadathur Rajagopalan;Gari D. Clifford

  • Dynamic time warping and machine learning for signal quality assessment of pulsatile signals

    Q Li;Q Li;G D Clifford

  • An open source benchmarked toolbox for cardiovascular waveform and interval analysis.

    Adriana N Vest;Giulia Da Poian;Qiao Li;Chengyu Liu

  • Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform

    Anton Aboukhalil;Larry Nielsen;Mohammed Saeed;Roger G. Mark

  • Smartphone app for non-invasive detection of anemia using only patient-sourced photos

    Robert G. Mannino;Robert G. Mannino;Robert G. Mannino;David R Myers;David R Myers;David R Myers;Erika A. Tyburski;Erika A. Tyburski;Erika A. Tyburski;Christina Caruso

  • Machine Learning and Decision Support in Critical Care This paper discusses the issues of compartmentalization, corruption, and complexity involved in collection and preprocessing of critical care data.

    Alistair E. W. Johnson;Mohammad M. Ghassemi;Shamim Nemati;Katherine E. Niehaus

Frequent Co-Authors

Lionel Tarassenko
Lionel Tarassenko University of Oxford
Chengyu Liu
Chengyu Liu Southeast University
Patrick E. McSharry
Patrick E. McSharry Carnegie Mellon University
David A. Clifton
David A. Clifton University of Oxford
Kerry J. Ressler
Kerry J. Ressler Harvard University
Thomas C. Neylan
Thomas C. Neylan University of California, San Francisco
Diego A. Pizzagalli
Diego A. Pizzagalli Harvard University
Karestan C. Koenen
Karestan C. Koenen Harvard University

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