Gari D. Clifford

According to our database, Gari D. Clifford authored at least 128 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Off-Body Sleep Analysis for Predicting Adverse Behavior in Individuals With Autism Spectrum Disorder.

Yashar Kiarashi, Pradyumna B. Suresha, Ali Bahrami Rad, Matthew A. Reyna, Conor Anderson, Jenny Foster, Johanna Lantz, Tania Villavicencio, Theresa Hamlin, Gari D. Clifford

IEEE J. Biomed. Health Informatics, November, 2024

A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs.

Ali Bahrami Rad, Miguel Kirsch, Qiao Li, Joel Xue, Reza Sameni, Dave Albert, Gari D. Clifford

Sensors, September, 2024

Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection Using Eight Million Samples Labeled With Imprecise Arrhythmia Alarms.

Cheng Ding, Zhicheng Guo, Cynthia Rudin, Ran Xiao, Amit J. Shah, Duc H. Do, Randall J. Lee, Gari D. Clifford, Fadi B. Nahab, Xiao Hu

IEEE J. Biomed. Health Informatics, May, 2024

Physics-Informed Transfer Learning to Enhance Sleep Staging.

Samuel H. Waters, Gari D. Clifford

IEEE Trans. Biomed. Eng., May, 2024

Disentangling Visual Exploration Differences in Cognitive Impairment.

Zifan Jiang, Salman Seyedi, Kayci L. Vickers, Cecelia M. Manzanares, James J. Lah, Allan I. Levey, Gari D. Clifford

IEEE Trans. Biomed. Eng., April, 2024

Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns.

Zifan Jiang, Salman Seyedi, Emily Griner, Ahmed Abbasi, Ali Bahrami Rad, Hyeokhyen Kwon, Robert O. Cotes, Gari D. Clifford

IEEE J. Biomed. Health Informatics, March, 2024

A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias.

Seyedeh Somayyeh Mousavi, Matthew A. Reyna, Gari D. Clifford, Reza Sameni

Sensors, March, 2024

Electromechanical Dynamics of the Heart: A Study of Cardiac Hysteresis During Physical Stress Test.

Sajjad Karimi, Shirin Karimi, Amit J. Shah, Gari D. Clifford, Reza Sameni

CoRR, 2024

ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis.

Matthew A. Reyna, Deepanshi, James Weigle, Zuzana Koscova, Kiersten Campbell, Kshama Kodthalu Shivashankara, Soheil Saghafi, Sepideh Nikookar, Mohsen Motie Shirazi, Yashar Kiarashi, Salman Seyedi, Gari D. Clifford, Reza Sameni

CoRR, 2024

Feasibility of assessing cognitive impairment via distributed camera network and privacy-preserving edge computing.

Chaitra Hegde, Yashar Kiarashi, Allan I. Levey, Amy D. Rodriguez, Hyeokhyen Kwon, Gari D. Clifford

CoRR, 2024

Explainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis.

Barun Das, Conor Anderson, Tania Villavicencio, Johanna Lantz, Jenny Foster, Theresa Hamlin, Ali Bahrami Rad, Gari D. Clifford, Hyeokhyen Kwon

CoRR, 2024

Benchmarking changepoint detection algorithms on cardiac time series.

Ayse S. Cakmak, Erik Reinertsen, Shamim Nemati, Gari D. Clifford

CoRR, 2024

2023

Graph Trilateration for Indoor Localization in Sparsely Distributed Edge Computing Devices in Complex Environments Using Bluetooth Technology.

Yashar Kiarashi, Soheil Saghafi, Barun Das, Chaitra Hegde, Venkata Siva Krishna Madala, ArjunSinh Nakum, Ratan Singh, Robert Tweedy, Matthew Doiron, Amy D. Rodriguez, Allan I. Levey, Gari D. Clifford, Hyeokhyen Kwon

Sensors, December, 2023

Classifying Tremor Dominant and Postural Instability and Gait Difficulty Subtypes of Parkinson's Disease from Full-Body Kinematics.

N. Jabin Gong, Gari D. Clifford, Christine D. Esper, Stewart A. Factor, J. Lucas McKay, Hyeokhyen Kwon

Sensors, October, 2023

Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram.

Andoni Elola, Elisabete Aramendi, Jorge Oliveira, Francesco Renna, Miguel T. Coimbra, Matthew A. Reyna, Reza Sameni, Gari D. Clifford, Ali Bahrami Rad

IEEE J. Biomed. Health Informatics, August, 2023

ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation.

Aref Einizade, Samaneh Nasiri, Sepideh Hajipour Sardouie, Gari D. Clifford

Neural Networks, July, 2023

HRnV-Calc: A Software for Heart Rate n-Variability and Heart Rate Variability Analysis.

Chenglin Niu, Dagang Guo, Marcus Eng Hock Ong, Zhixiong Koh, Guerry Alexiane Laure Marie-Alix, Andrew Fu Wah Ho, Zhiping Lin, Chengyu Liu, Gari D. Clifford, Nan Liu

J. Open Source Softw., July, 2023

Hierarchical Attentive Network for Gestational Age Estimation in Low-Resource Settings.

Nasim Katebi, Reza Sameni, Peter Rohloff, Gari D. Clifford

IEEE J. Biomed. Health Informatics, May, 2023

An Explainable Spatial-Temporal Graphical Convolutional Network to Score Freezing of Gait in Parkinsonian Patients.

HyeokHyen Kwon, Gari D. Clifford, Imari Genias, Doug Bernhard, Christine D. Esper, Stewart A. Factor, J. Lucas McKay

Sensors, February, 2023

Point-of-Care Real-Time Signal Quality for Fetal Doppler Ultrasound Using a Deep Learning Approach.

Mohsen Motie Shirazi, Reza Sameni, Peter Rohloff, Nasim Katebi, Gari D. Clifford

CoRR, 2023

ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization.

Kshama Kodthalu Shivashankara, Deepanshi, Afagh Mehri Shervedani, Gari D. Clifford, Matthew A. Reyna, Reza Sameni

CoRR, 2023

Indoor Localization using Bluetooth and Inertial Motion Sensors in Distributed Edge and Cloud Computing Environment.

Yashar Kiarashi, Chaitra Hedge, Venkata Siva Krishna Madala, ArjunSinh Nakum, Ratan Singh, Robert Tweedy, Gari D. Clifford, HyeokHyen Kwon

CoRR, 2023

Indoor Localization and Multi-person Tracking Using Privacy Preserving Distributed Camera Network with Edge Computing.

HyeokHyen Kwon, Chaitra Hegde, Yashar Kiarashi, Venkata Siva Krishna Madala, Ratan Singh, ArjunSinh Nakum, Robert Tweedy, Leandro Miletto Tonetto, Craig M. Zimring, Gari D. Clifford

CoRR, 2023

A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising.

Mircea Dumitru, Qiao Li, Erick Andres Perez-Alday, Ali Bahrami Rad, Gari D. Clifford, Reza Sameni

CoRR, 2023

Explainable automated seizure detection using attentive deep multi-view networks.

Aref Einizade, Samaneh Nasiri, Mohsen Mozafari, Sepideh Hajipour Sardouie, Gari D. Clifford

Biomed. Signal Process. Control., 2023

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors.

Li-Wei H. Lehman, Benjamin Moody, Harsh Deep, Feng Wu, Hasan Saeed, Lucas McCullum, Diane Perry, Tristan Struja, Qiao Li, Gari D. Clifford, Roger G. Mark

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023.

Matthew A. Reyna, Edilberto Amorim, Reza Sameni, James Weigle, Andoni Elola, Ali Bahrami Rad, Salman Seyedi, Hyeokhyen Kwon, Wei-Long Zheng, Mohammad M. Ghassemi, Michel J. A. M. van Putten, Jeannette Hofmeijer, Nicolas Gaspard, Adithya Sivaraju, Susan T. Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2023

2022

The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification.

Jorge Oliveira, Francesco Renna, Paulo Dias Costa, Diogo Marcelo Nogueira, Cristina Oliveira, Carlos Abreu Ferreira, Alípio Mário Jorge, Sandra da Silva Mattos, Thamine Hatem, Thiago Tavares, Andoni Elola, Ali Bahrami Rad, Reza Sameni, Gari D. Clifford, Miguel T. Coimbra

IEEE J. Biomed. Health Informatics, 2022

An Edge Computing and Ambient Data Capture System for Clinical and Home Environments.

Pradyumna Byappanahalli Suresha, Chaitra Hegde, Zifan Jiang, Gari D. Clifford

Sensors, 2022

A Wearable Multimodal Sensing System for Tracking Changes in Pulmonary Fluid Status, Lung Sounds, and Respiratory Markers.

Jesus Antonio Sanchez-Perez, John A. Berkebile, Brandi N. Nevius, Goktug C. Ozmen, Christopher J. Nichols, Venu G. Ganti, Samer Mabrouk, Gari D. Clifford, Rishikesan Kamaleswaran, David W. Wright, Omer T. Inan

Sensors, 2022

Modeling Social Distancing and Quantifying Epidemic Disease Exposure in a Built Environment.

Chaitra Hegde, Ali Bahrami Rad, Reza Sameni, Gari David Clifford

IEEE J. Sel. Top. Signal Process., 2022

Practical High-Fidelity Sensing of the Sleep Environment in the Home.

Clayton Ewing Feustel, Nicolas Shu, Gari D. Clifford, David V. Anderson, Craig Zimring

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022.

Matthew A. Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick Andres Perez-Alday, Nadi Sadr, Ashish Sharma, Sandra da Silva Mattos, Miguel T. Coimbra, Reza Sameni, Ali Bahrami Rad, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2022

PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms.

Lucas McCullum, Hasan Saeed, Benjamin Moody, Diane Perry, Eric Gottlieb, Tom J. Pollard, Xavier Borrat Frigola, Qiao Li, Gari D. Clifford, Roger G. Mark, Li-Wei H. Lehman

Proceedings of the Computing in Cardiology, 2022

2021

Classification and Prediction of Post-Trauma Outcomes Related to PTSD Using Circadian Rhythm Changes Measured via Wrist-Worn Research Watch in a Large Longitudinal Cohort.

Ayse S. Cakmak, Erick Andres Perez-Alday, Giulia Da Poian, Ali Bahrami Rad, Thomas J. Metzler, Thomas Neylan, Stacey L. House, Francesca L. Beaudoin, Xinming An, Jennifer S. Stevens, Donglin Zeng, Sarah D. Linnstaedt, Tanja Jovanovic, Laura T. Germine, Kenneth A. Bollen, Scott L. Rauch, Christopher A. Lewandowski, Phyllis L. Hendry, Sophia Sheikh, Alan B. Storrow, Paul I. Musey, John P. Haran, Christopher W. Jones, Brittany E. Punches, Robert A. Swor, Nina T. Gentile, Meghan McGrath, Mark J. Seamon, Kamran Mohiuddin, Anna M. Chang, Claire Pearson, Robert M. Domeier, Steven E. Bruce, Brian J. O'Neil, Niels K. Rathlev, Leon D. Sanchez, Robert H. Pietrzak, Jutta Joormann, Deanna M. Barch, Diego A. Pizzagalli, Steven E. Harte, James M. Elliott, Ronald C. Kessler, Karestan C. Koenen, Kerry J. Ressler, Samuel A. McLean, Qiao Li, Gari D. Clifford

IEEE J. Biomed. Health Informatics, 2021

Temporal-Framing Adaptive Network for Heart Sound Segmentation Without Prior Knowledge of State Duration.

Xingyao Wang, Chengyu Liu, Yuwen Li, Xianghong Cheng, Jianqing Li, Gari D. Clifford

IEEE Trans. Biomed. Eng., 2021

Classifying Major Depressive Disorder and Response to Deep Brain Stimulation Over Time by Analyzing Facial Expressions.

Zifan Jiang, Sahar Harati, Andrea Crowell, Helen S. Mayberg, Shamim Nemati, Gari D. Clifford

IEEE Trans. Biomed. Eng., 2021

Deep Convolutional Neural Networks and Transfer Learning for Measuring Cognitive Impairment Using Eye-Tracking in a Distributed Tablet-Based Environment.

Rafi U. Haque, Alvince L. Pongos, Cecelia M. Manzanares, James J. Lah, Allan I. Levey, Gari D. Clifford

IEEE Trans. Biomed. Eng., 2021

Generalizable Seizure Detection Model Using Generating Transferable Adversarial Features.

Samaneh Nasiri, Gari D. Clifford

IEEE Signal Process. Lett., 2021

CNN-Based LCD Transcription of Blood Pressure From a Mobile Phone Camera.

Samruddhi S. Kulkarni, Nasim Katebi, Camilo E. Valderrama, Peter Rohloff, Gari D. Clifford

Frontiers Artif. Intell., 2021

Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models.

Ismail Sadiq, Erick Andres Perez-Alday, Amit J. Shah, Ali Bahrami Rad, Reza Sameni, Gari D. Clifford

CoRR, 2021

HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis.

Chenglin Niu, Dagang Guo, Marcus Eng Hock Ong, Zhixiong Koh, Andrew Fu Wah Ho, Zhiping Lin, Chengyu Liu, Gari D. Clifford, Nan Liu

CoRR, 2021

Privacy-Preserving Eye-tracking Using Deep Learning.

Salman Seyedi, Zifan Jiang, Allan I. Levey, Gari D. Clifford

CoRR, 2021

Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure.

Ayse S. Cakmak, Samuel Densen, Gabriel Najarro, Pratik Rout, Christopher J. Rozell, Omer T. Inan, Amit J. Shah, Gari D. Clifford

CoRR, 2021

An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms.

Salman Seyedi, Li Xiong, Shamim Nemati, Gari D. Clifford

CoRR, 2021

Predicting presumed serious infection among hospitalized children on central venous lines with machine learning.

Azade Tabaie, Evan W. Orenstein, Shamim Nemati, Rajit K. Basu, Swaminathan Kandaswamy, Gari D. Clifford, Rishikesan Kamaleswaran

Comput. Biol. Medicine, 2021

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021.

Matthew A. Reyna, Nadi Sadr, Erick Andres Perez-Alday, Annie Gu, Amit J. Shah, Chad Robichaux, Ali Bahrami Rad, Andoni Elola, Salman Seyedi, Sardar Ansari, Hamid Ghanbari, Qiao Li, Ashish Sharma, Gari D. Clifford

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

A Deep Learning Architecture for Psychometric Natural Language Processing.

Faizan Ahmad, Ahmed Abbasi, Jingjing Li, David G. Dobolyi, Richard G. Netemeyer, Gari D. Clifford, Hsinchun Chen

ACM Trans. Inf. Syst., 2020

A Proxy for Detecting IUGR Based on Gestational Age Estimation in a Guatemalan Rural Population.

Camilo E. Valderrama, Faezeh Marzbanrad, Rachel Hall-Clifford, Peter Rohloff, Gari D. Clifford

Frontiers Artif. Intell., 2020

Voting of predictive models for clinical outcomes: consensus of algorithms for the early prediction of sepsis from clinical data and an analysis of the PhysioNet/Computing in Cardiology Challenge 2019.

Matthew A. Reyna, Gari D. Clifford

CoRR, 2020

Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data.

Ayse S. Cakmak, Nina Thigpen, Garrett Honke, Erick Andres Perez-Alday, Ali Bahrami Rad, Rebecca Adaimi, Chia-Jung Chang, Qiao Li, Pramod Gupta, Thomas Neylan, Samuel A. McLean, Gari D. Clifford

CoRR, 2020

The Future AI in Healthcare: A Tsunami of False Alarms or a Product of Experts?

Gari D. Clifford

CoRR, 2020

Remote health monitoring in the time of COVID-19.

Joachim A. Behar, Chengyu Liu, Kenta Tsutsui, Valentina D. A. Corino, Janmajay Singh, Marco A. F. Pimentel, Walter Karlen, Philip Warrick, Sebastian Zaunseder, Fernando Andreotti, Maxim Osipov, Patrick E. McSharry, Kevin Kotzen, Chandan K. Karmakar, Gari D. Clifford

CoRR, 2020

Attentive Adversarial Network for Large-Scale Sleep Staging.

Samaneh Nasiri, Gari D. Clifford

Proceedings of the Machine Learning for Healthcare Conference, 2020

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

Matthew A. Reyna, Erick Andres Perez-Alday, Annie Gu, Chengyu Liu, Salman Seyedi, Ali Bahrami Rad, Andoni Elola, Qiao Li, Ashish Sharma, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2020

2019

Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care.

Tingting Zhu, Marco A. F. Pimentel, Gari D. Clifford, David A. Clifton

IEEE J. Biomed. Health Informatics, 2019

Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019.

Matthew A. Reyna, Christopher Josef, Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford

Proceedings of the 46th Computing in Cardiology, 2019

Obstructive Sleep Apnea Classification in a Mixed-Disorder Elderly Male Population Using a Low-Cost Off-Body Movement Sensor.

Pradyumna Byappanahalli Suresha, Ayse Selin Cakmak, Giulia Da Poian, Amit J. Shah, Viola Vaccarino, Donald L. Bliwise, Gari D. Clifford

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Matched Filtering for Heart Rate Estimation on Compressive Sensing ECG Measurements.

Giulia Da Poian, Christopher J. Rozell, Riccardo Bernardini, Roberto Rinaldo, Gari D. Clifford

IEEE Trans. Biomed. Eng., 2018

Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks.

Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Improving the Quality of Point of Care Diagnostics with Real-Time Machine Learning in Low Literacy LMIC Settings.

Camilo E. Valderrama, Faezeh Marzbanrad, Lisa Stroux, Boris Martinez, Rachel Hall-Clifford, Chengyu Liu, Nasim Katebi, Peter Rohloff, Gari D. Clifford

Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018.

Mohammad M. Ghassemi, Benjamin Moody, Li-Wei H. Lehman, Christopher Song, Qiao Li, Haoqi Sun, M. Brandon Westover, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2018

Personalized heart failure severity estimates using passive smartphone data.

Ayse S. Cakmak, Erik Reinertsen, Herman A. Taylor, Amit J. Shah, Gari D. Clifford

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Digital health system for personalised COPD long-term management.

Carmelo Velardo, Syed Ahmar Shah, Oliver J. Gibson, Gari D. Clifford, Carl Heneghan, Heather Rutter, Andrew Farmer, Lionel Tarassenko, Andreas Triantafyllidis, Veronika Williams, Maxine Hardinge, Christy Toms, Louise Jones, Stephanie Robinson, Jonathan Price, Linda Heritage

BMC Medical Informatics Decis. Mak., 2017

Subject Selection on a Riemannian Manifold for Unsupervised Cross-subject Seizure Detection.

Samaneh Nasiri Ghosheh Bolagh, Gari D. Clifford

CoRR, 2017

Analyzing Fetal and Maternal Cardiorespiratory Interactions During Labor.

Faezeh Marzbanrad, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2017

Combining Multi-source Features and Support Vector Machine for Heart Rhythm Classification.

Chengyu Liu, Qiao Li, Pradyumna B. Suresha, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2017

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, Ikaro Silva, Qiao Li, Alistair E. W. Johnson, Roger G. Mark

Proceedings of the Computing in Cardiology, 2017

Sleep Questionnaires in Screening for Obstructive Sleep Apnea.

Joachim A. Behar, Niclas Palmius, Jonathan Daly, Qiao Li, Fabiola Rizzatti, Lia Bittencourt, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2017

A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology.

Supreeth Prajwal Shashikumar, Amit J. Shah, Qiao Li, Gari D. Clifford, Shamim Nemati

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016

Logistic Regression-HSMM-Based Heart Sound Segmentation.

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

IEEE Trans. Biomed. Eng., 2016

Machine Learning and Decision Support in Critical Care.

Alistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati, Katherine E. Niehaus, David A. Clifton, Gari D. Clifford

Proc. IEEE, 2016

Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach.

Shamim Nemati, Mohammad M. Ghassemi, Gari D. Clifford

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Monitoring and detecting atrial fibrillation using wearable technology.

Shamim Nemati, Mohammad M. Ghassemi, Vaidehi Ambai, Nino Isakadze, Oleksiy Levantsevych, Amit J. Shah, Gari D. Clifford

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Estimating Fetal Gestational Age Using Cardiac Valve Intervals.

Faezeh Marzbanrad, Ahsan H. Khandoker, Yoshitaka Kimura, Marimuthu Palaniswami, Gari D. Clifford

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Classification of Normal/Abnormal Heart Sound Recordings: the PhysioNet/Computing in Cardiology Challenge 2016.

Gari D. Clifford, Chengyu Liu, David B. Springer, Benjamin Moody, Qiao Li, Ricardo C. Abad, José Millet, Ikaro Silva, Alistair E. W. Johnson, Roger G. Mark

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Evaluation of the Accuracy and Noise Response of an Open-source Pulse Onset Detection Algorithm on Pulsatile Waveform Databases.

Chengyu Liu, Qiao Li, Gari D. Clifford

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

SleepAp: An Automated Obstructive Sleep Apnoea Screening Application for Smartphones.

Joachim Behar, Aoife Roebuck, Mohammed Shahid, Jonathan Daly, Andre Hallack, Niclas Palmius, John Stradling, Gari D. Clifford

IEEE J. Biomed. Health Informatics, 2015

Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters.

Julien Oster, Joachim Behar, Omid Sayadi, Shamim Nemati, Alistair E. W. Johnson, Gari D. Clifford

IEEE Trans. Biomed. Eng., 2015

Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth study.

Arvind Raghu, Devarsetty Praveen, David Peiris, Lionel Tarassenko, Gari D. Clifford

BMC Medical Informatics Decis. Mak., 2015

Fusing Continuous-valued Medical Labels using a Bayesian Model.

Tingting Zhu, Nic Dunkley, Joachim Behar, David A. Clifton, Gari D. Clifford

CoRR, 2015

Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram.

Tingting Zhu, Marco A. F. Pimentel, Gari D. Clifford, David A. Clifton

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

The PhysioNet/Computing in Cardiology Challenge 2015: Reducing False Arrhythmia Alarms in the ICU.

Gari D. Clifford, Ikaro Silva, Benjamin Moody, Qiao Li, Danesh Kella, Abdullah Shahin, Tristan Kooistra, Diane Perry, Roger G. Mark

Proceedings of the Computing in Cardiology, 2015

2014

Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach.

Qiao Li, Cadathur Rajagopalan, Gari D. Clifford

IEEE Trans. Biomed. Eng., 2014

A machine learning approach to multi-level ECG signal quality classification.

Qiao Li, Cadathur Rajagopalan, Gari D. Clifford

Comput. Methods Programs Biomed., 2014

Signal quality classification of mobile phone-recorded phonocardiogram signals.

David B. Springer, Thomas Brennan, Liesl J. Zuhlke, Hassan Y. Abdelrahman, Ntobeko Ntusi, Gari D. Clifford, Bongani M. Mayosi, Lionel Tarassenko

Proceedings of the IEEE International Conference on Acoustics, 2014

Detecting Adolescent Psychological Pressures from Micro-Blog.

Yuanyuan Xue, Qi Li, Li Jin, Ling Feng, David A. Clifton, Gari D. Clifford

Proceedings of the Health Information Science - Third International Conference, 2014

A scalable mHealth system for noncommunicable disease management.

Gari D. Clifford, Carlos Arteta, Tingting Zhu, Marco A. F. Pimentel, Mauro D. Santos, João S. Domingos, Mohammad Ali Maraci, Joachim Behar, Julien Oster

Proceedings of the IEEE Global Humanitarian Technology Conference, 2014

Respiratory rate estimation from the oscillometric waveform obtained from a non-invasive cuff-based blood pressure device.

Marco A. F. Pimentel, Mauro D. Santos, Carlos Arteta, João S. Domingos, Mohammad Ali Maraci, Gari D. Clifford

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

CrowdLabel: A Crowdsourcing Platform for Electrophysiology.

Tingting Zhu, Joachim Behar, Tasos Papastylianou, Gari D. Clifford

Proceedings of the Computing in Cardiology, CinC 2014, 2014

Quantitative Insights into the Closed-loop Cardiovascular System using an Electrical Lumped Element Physiological Model.

Athanasios Tsanas, Gari D. Clifford, Vassiliki Vartela, Petros Sfirakis

Proceedings of the Computing in Cardiology, CinC 2014, 2014

Support Vector Machine Hidden Semi-Markov Model-based Heart Sound Segmentation.

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

Proceedings of the Computing in Cardiology, CinC 2014, 2014

Robust Heart Rate Estimation from Noisy Phonocardiograms.

David B. Springer, Thomas Brennan, Jens Hitzeroth, Bongani M. Mayosi, Lionel Tarassenko, Gari D. Clifford

Proceedings of the Computing in Cardiology, CinC 2014, 2014

Hidden Semi-Markov Model-Based Heartbeat Detection Using Multimodal data and Signal Quality Indices.

Marco A. F. Pimentel, Mauro D. Santos, David B. Springer, Gari D. Clifford

Proceedings of the Computing in Cardiology, CinC 2014, 2014

Data Preprocessing and Mortality Prediction: the Physionet/CinC 2012 Challenge Revisited.

Alistair E. W. Johnson, Andrew A. Kramer, Gari D. Clifford

Proceedings of the Computing in Cardiology, CinC 2014, 2014

R- Peak Estimation using Multimodal Lead Switching.

Alistair E. W. Johnson, Joachim Behar, Fernando Andreotti, Gari D. Clifford, Julien Oster

Proceedings of the Computing in Cardiology, CinC 2014, 2014

A Bayesian Filtering Framework for Accurate Extracting of the Non Invasive FECG Morphology.

Joachim Behar, Fernando Andreotti, Julien Oster, Gari D. Clifford

Proceedings of the Computing in Cardiology, CinC 2014, 2014

Optimized Modelling of Maternal ECG Beats using the Stationary Wavelet Transform.

Fernando Andreotti, Joachim Behar, Julien Oster, Gari D. Clifford, Hagen Malberg, Sebastian Zaunseder

Proceedings of the Computing in Cardiology, CinC 2014, 2014

fecgsyngui: A GUI Interface to fecgsynfor the Simulation of Maternal-Foetal Activity Mixtures on Abdominal Electrocardiogram Recordings.

Mohsan S. Alvi, Fernando Andreotti, Julien Oster, Sebastian Zaunseder, Gari D. Clifford, Joachim Behar

Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013

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

Joachim Behar, Julien Oster, Qiao Li, Gari D. Clifford

IEEE Trans. Biomed. Eng., 2013

Towards a micro-blog platform for sensing and easing adolescent psychological pressures.

Yuanyuan Xue, Qi Li, Ling Feng, Gari D. Clifford, David A. Clifton

Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Bayesian Voting of Multiple Annotators for Improved QT Interval Estimation.

Tingting Zhu, Alistair E. W. Johnson, Joachim Behar, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2013

Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013.

Ikaro Silva, Joachim Behar, Reza Sameni, Tingting Zhu, Julien Oster, Gari D. Clifford, George B. Moody

Proceedings of the Computing in Cardiology, 2013

An Artificial Model of the Electrocardiogram during Paroxysmal Atrial Fibrillation.

Julien Oster, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2013

Open Source Java-based ECG analysis Software and Android app for Atrial Fibrillation Screening.

Julien Oster, Joachim Behar, Roberta Colloca, Qichen Li, Qiao Li, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2013

Improved Respiration Rate Estimation using a Kalman filter and Wavelet Cross-Coherence.

Alistair E. W. Johnson, Sharath Choletti, Timothy G. Buchman, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2013

A Support Vector Machine Approach for Reliable Detection of Atrial Fibrillation Events.

Roberta Colloca, Alistair E. W. Johnson, Luca T. Mainardi, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2013

Non Invasive FECG Extraction from a Set of Abdominal Sensors.

Joachim Behar, Julien Oster, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2013

2012

The limited applicability of Wiener filtering to ECG signals disturbed by the MHD effect.

Johannes W. Krug, Gari D. Clifford, Georg H. Rose, Julien Oster

Proceedings of the 20th European Signal Processing Conference, 2012

Fusion of image and signal processing for the detection of obstructive sleep apnea.

Elnaz Gederi, Gari D. Clifford

Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

2011

A Nonparametric Surrogate-Based Test of Significance for T-Wave Alternans Detection.

Shamim Nemati, Omar Abdala, Violeta Monasterio, Susie Yim-Yeh, Atul Malhotra, Gari D. Clifford

IEEE Trans. Biomed. Eng., 2011

Low-Cost Blood Pressure Monitor Device for Developing Countries.

Carlos Arteta, João S. Domingos, Marco A. F. Pimentel, Mauro D. Santos, Corentin Chiffot, David B. Springer, Arvind Raghu, Gari D. Clifford

Proceedings of the Wireless Mobile Communication and Healthcare, 2011

Open-access MIMIC-II database for intensive care research.

Joon Lee, Daniel J. Scott, Mauricio Villarroel, Gari D. Clifford, Mohammed Saeed, Roger G. Mark

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Robust Detection of Premature Ventricular Contractions Using a Wave-Based Bayesian Framework.

Omid Sayadi, Mohammad Bagher Shamsollahi, Gari D. Clifford

IEEE Trans. Biomed. Eng., 2010

Data Fusion for Improved Respiration Rate Estimation.

Shamim Nemati, Atul Malhotra, Gari D. Clifford

EURASIP J. Adv. Signal Process., 2010

Intelligent Heartsound Diagnostics on a Cellphone Using a Hands-Free Kit.

Tiffany Chen, Katherine Kuan, Leo A. Celi, Gari D. Clifford

Proceedings of the Artificial Intelligence for Development, 2010

2008

Automated de-identification of free-text medical records.

Ishna Neamatullah, Margaret M. Douglass, Li-Wei H. Lehman, Andrew T. Reisner, Mauricio Villarroel, William J. Long, Peter Szolovits, George B. Moody, Roger G. Mark, Gari D. Clifford

BMC Medical Informatics Decis. Mak., 2008

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

Anton Aboukhalil, Larry Nielsen, Mohammed Saeed, Roger G. Mark, Gari D. Clifford

J. Biomed. Informatics, 2008

2007

A Nonlinear Bayesian Filtering Framework for ECG Denoising.

Reza Sameni, Mohammad Bagher Shamsollahi, Christian Jutten, Gari D. Clifford

IEEE Trans. Biomed. Eng., 2007

Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals.

Reza Sameni, Gari D. Clifford, Christian Jutten, Mohammad Bagher Shamsollahi

EURASIP J. Adv. Signal Process., 2007

2006

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

Taigang He, Gari D. Clifford, Lionel Tarassenko

Neural Comput. Appl., 2006

2005

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

Gari D. Clifford, Lionel Tarassenko

IEEE Trans. Biomed. Eng., 2005

Development and Optimization of a Critical Care Alert and Display (CCAD) System using Retrospective ICU Databases.

Brian Janz, Mohammed Saeed, Joseph J. Frassica, Gari D. Clifford, Roger G. Mark

Proceedings of the AMIA 2005, 2005

2004

QoS Quorum-Constrained Resource Management in Wireless Grid.

Chan-Hyun Youn, Byungsang Kim, Dong Su Nam, Eung-Suk An, Bong-Hwan Lee, Eun Bo Shim, Gari D. Clifford

Proceedings of the Network and Parallel Computing, IFIP International Conference, 2004

Resource Reconfiguration Scheme Based on Temporal Quorum Status Estimation in Computational Grids.

Chan-Hyun Youn, Byungsang Kim, Dong Su Nam, Bong-Hwan Lee, Eun Bo Shim, Gari D. Clifford, Jennifer Healey

Proceedings of the Information Networking, 2004

QoS-Constrained Resource Allocation for a Grid-Based Multiple Source Electrocardiogram Application.

Dong Su Nam, Chan-Hyun Youn, Bong-Hwan Lee, Gari D. Clifford, Jennifer Healey

Proceedings of the Computational Science and Its Applications, 2004

2003

A dynamical model for generating synthetic electrocardiogram signals.

Patrick E. McSharry, Gari D. Clifford, Lionel Tarassenko, Leonard A. Smith

IEEE Trans. Biomed. Eng., 2003

2001

Detection of Ectopic Beats in the Electrocardiogram Using an Auto-Associative Neural Network.

Lionel Tarassenko, Gari D. Clifford, Neil W. Townsend

Neural Process. Lett., 2001