Gari D. Clifford

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 74

Top Venues

CinC

CoRR

IEEE Trans. Biomed. Eng.

IEEE J. Biomed. Health Informatics

Publications

Ayse S. Cakmak, Erik Reinertsen, Shamim Nemati, Gari D. Clifford
Benchmarking changepoint detection algorithms on cardiac time series. CoRR (2024)
Seyedeh Somayyeh Mousavi, Matthew A. Reyna, Gari D. Clifford, Reza Sameni
A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias. Sensors 24 (6) (2024)
Samuel H. Waters, Gari D. Clifford
Physics-Informed Transfer Learning to Enhance Sleep Staging. IEEE Trans. Biomed. Eng. 71 (5) (2024)
Zifan Jiang, Salman Seyedi, Kayci L. Vickers, Cecelia M. Manzanares, James J. Lah, Allan I. Levey, Gari D. Clifford
Disentangling Visual Exploration Differences in Cognitive Impairment. IEEE Trans. Biomed. Eng. 71 (4) (2024)
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
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection Using Eight Million Samples Labeled With Imprecise Arrhythmia Alarms. IEEE J. Biomed. Health Informatics 28 (5) (2024)
Barun Das, Conor Anderson, Tania Villavicencio, Johanna Lantz, Jenny Foster, Theresa Hamlin, Ali Bahrami Rad, Gari D. Clifford, Hyeokhyen Kwon
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. CoRR (2024)
Zifan Jiang, Salman Seyedi, Emily Griner, Ahmed Abbasi, Ali Bahrami Rad, Hyeokhyen Kwon, Robert O. Cotes, Gari D. Clifford
Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Mohsen Motie Shirazi, Reza Sameni, Peter Rohloff, Nasim Katebi, Gari D. Clifford
Point-of-Care Real-Time Signal Quality for Fetal Doppler Ultrasound Using a Deep Learning Approach. CoRR (2023)
Aref Einizade, Samaneh Nasiri, Sepideh Hajipour Sardouie, Gari D. Clifford
ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation. Neural Networks 164 (2023)
Yashar Kiarashi, Chaitra Hedge, Venkata Siva Krishna Madala, ArjunSinh Nakum, Ratan Singh, Robert Tweedy, Gari D. Clifford, HyeokHyen Kwon
Indoor Localization using Bluetooth and Inertial Motion Sensors in Distributed Edge and Cloud Computing Environment. CoRR (2023)
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
HRnV-Calc: A Software for Heart Rate n-Variability and Heart Rate Variability Analysis. J. Open Source Softw. 8 (87) (2023)
N. Jabin Gong, Gari D. Clifford, Christine D. Esper, Stewart A. Factor, J. Lucas McKay, Hyeokhyen Kwon
Classifying Tremor Dominant and Postural Instability and Gait Difficulty Subtypes of Parkinson's Disease from Full-Body Kinematics. Sensors 23 (19) (2023)
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
Indoor Localization and Multi-person Tracking Using Privacy Preserving Distributed Camera Network with Edge Computing. CoRR (2023)
Nasim Katebi, Reza Sameni, Peter Rohloff, Gari D. Clifford
Hierarchical Attentive Network for Gestational Age Estimation in Low-Resource Settings. IEEE J. Biomed. Health Informatics 27 (5) (2023)
Mircea Dumitru, Qiao Li, Erick Andres Perez-Alday, Ali Bahrami Rad, Gari D. Clifford, Reza Sameni
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising. CoRR (2023)
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
Graph Trilateration for Indoor Localization in Sparsely Distributed Edge Computing Devices in Complex Environments Using Bluetooth Technology. Sensors 23 (23) (2023)
HyeokHyen Kwon, Gari D. Clifford, Imari Genias, Doug Bernhard, Christine D. Esper, Stewart A. Factor, J. Lucas McKay
An Explainable Spatial-Temporal Graphical Convolutional Network to Score Freezing of Gait in Parkinsonian Patients. Sensors 23 (4) (2023)
Aref Einizade, Samaneh Nasiri, Mohsen Mozafari, Sepideh Hajipour Sardouie, Gari D. Clifford
Explainable automated seizure detection using attentive deep multi-view networks. Biomed. Signal Process. Control. 79 (Part) (2023)
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
VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors. NeurIPS (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
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. CinC (2023)
Andoni Elola, Elisabete Aramendi, Jorge Oliveira, Francesco Renna, Miguel T. Coimbra, Matthew A. Reyna, Reza Sameni, Gari D. Clifford, Ali Bahrami Rad
Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram. IEEE J. Biomed. Health Informatics 27 (8) (2023)
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
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification. IEEE J. Biomed. Health Informatics 26 (6) (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
Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022. CinC (2022)
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
A Wearable Multimodal Sensing System for Tracking Changes in Pulmonary Fluid Status, Lung Sounds, and Respiratory Markers. Sensors 22 (3) (2022)
Lucas McCullum, Hasan Saeed, Benjamin Moody, Diane Perry, Eric Gottlieb, Tom Pollard, Xavier Borrat Frigola, Qiao Li, Gari D. Clifford, Roger G. Mark, Li-Wei H. Lehman
PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms. CinC (2022)
Pradyumna Byappanahalli Suresha, Chaitra Hegde, Zifan Jiang, Gari D. Clifford
An Edge Computing and Ambient Data Capture System for Clinical and Home Environments. Sensors 22 (7) (2022)
Aref Einizade, Samaneh Nasiri, Sepideh Hajipour Sardouie, Gari D. Clifford
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation. CoRR (2022)
Andoni Elola, Elisabete Aramendi, Jorge Oliveira, Francesco Renna, Miguel T. Coimbra, Matthew A. Reyna, Reza Sameni, Gari D. Clifford, Ali Bahrami Rad
Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram. CoRR (2022)
Samruddhi S. Kulkarni, Nasim Katebi, Camilo E. Valderrama, Peter Rohloff, Gari D. Clifford
CNN-Based LCD Transcription of Blood Pressure From a Mobile Phone Camera. Frontiers Artif. Intell. 4 (2021)
Xingyao Wang, Chengyu Liu, Yuwen Li, Xianghong Cheng, Jianqing Li, Gari D. Clifford
Temporal-Framing Adaptive Network for Heart Sound Segmentation Without Prior Knowledge of State Duration. IEEE Trans. Biomed. Eng. 68 (2) (2021)
Ayse S. Cakmak, Samuel Densen, Gabriel Najarro, Pratik Rout, Christopher J. Rozell, Omer T. Inan, Amit J. Shah, Gari D. Clifford
Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure. CoRR (2021)
Salman Seyedi, Li Xiong, Shamim Nemati, Gari D. Clifford
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms. CoRR (2021)
Rafi U. Haque, Alvince L. Pongos, Cecelia M. Manzanares, James J. Lah, Allan I. Levey, Gari D. Clifford
Deep Convolutional Neural Networks and Transfer Learning for Measuring Cognitive Impairment Using Eye-Tracking in a Distributed Tablet-Based Environment. IEEE Trans. Biomed. Eng. 68 (1) (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
Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021. CinC (2021)
Chenglin Niu, Dagang Guo, Marcus Eng Hock Ong, Zhixiong Koh, Andrew Fu Wah Ho, Zhiping Lin, Chengyu Liu, Gari D. Clifford, Nan Liu
HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis. CoRR (2021)
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
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. IEEE J. Biomed. Health Informatics 25 (8) (2021)
Salman Seyedi, Zifan Jiang, Allan I. Levey, Gari D. Clifford
Privacy-Preserving Eye-tracking Using Deep Learning. CoRR (2021)
Jorge Oliveira, Francesco Renna, Paulo Dias Costa, Marcelo Nogueira, Cristina Oliveira, Carlos Abreu Ferreira, Alípio M. Jorge, Sandra da Silva Mattos, Thamine Hatem, Thiago Tavares, Andoni Elola, Ali Bahrami Rad, Reza Sameni, Gari D. Clifford, Miguel T. Coimbra
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification. CoRR (2021)
Azade Tabaie, Evan W. Orenstein, Shamim Nemati, Rajit K. Basu, Swaminathan Kandaswamy, Gari D. Clifford, Rishikesan Kamaleswaran
Predicting presumed serious infection among hospitalized children on central venous lines with machine learning. Comput. Biol. Medicine 132 (2021)
Zifan Jiang, Sahar Harati, Andrea Crowell, Helen S. Mayberg, Shamim Nemati, Gari D. Clifford
Classifying Major Depressive Disorder and Response to Deep Brain Stimulation Over Time by Analyzing Facial Expressions. IEEE Trans. Biomed. Eng. 68 (2) (2021)
Samaneh Nasiri, Gari D. Clifford
Generalizable Seizure Detection Model Using Generating Transferable Adversarial Features. IEEE Signal Process. Lett. 28 (2021)
Ismail Sadiq, Erick Andres Perez-Alday, Amit J. Shah, Ali Bahrami Rad, Reza Sameni, Gari D. Clifford
Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models. CoRR (2021)
Faizan Ahmad, Ahmed Abbasi, Jingjing Li, David G. Dobolyi, Richard G. Netemeyer, Gari D. Clifford, Hsinchun Chen
A Deep Learning Architecture for Psychometric Natural Language Processing. ACM Trans. Inf. Syst. 38 (1) (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
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. CinC (2020)
Gari D. Clifford
The Future AI in Healthcare: A Tsunami of False Alarms or a Product of Experts? CoRR (2020)
Samaneh Nasiri, Gari D. Clifford
Attentive Adversarial Network for Large-Scale Sleep Staging. MLHC (2020)
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
Remote health monitoring in the time of COVID-19. CoRR (2020)
Xingyao Wang, Chengyu Liu, Yuwen Li, Xianghong Cheng, Jianqing Li, Gari D. Clifford
Temporal-Framing Adaptive Network for Heart Sound Segmentation without Prior Knowledge of State Duration. CoRR (2020)
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
Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data. CoRR (2020)
Matthew A. Reyna, Gari D. Clifford
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. CoRR (2020)
Camilo E. Valderrama, Faezeh Marzbanrad, Rachel Hall-Clifford, Peter Rohloff, Gari D. Clifford
A Proxy for Detecting IUGR Based on Gestational Age Estimation in a Guatemalan Rural Population. Frontiers Artif. Intell. 3 (2020)
Pradyumna Byappanahalli Suresha, Ayse Selin Cakmak, Giulia Da Poian, Amit J. Shah, Viola Vaccarino, Donald L. Bliwise, Gari D. Clifford
Obstructive Sleep Apnea Classification in a Mixed-Disorder Elderly Male Population Using a Low-Cost Off-Body Movement Sensor. BHI (2019)
Tingting Zhu, Marco A. F. Pimentel, Gari D. Clifford, David A. Clifton
Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care. IEEE J. Biomed. Health Informatics 23 (1) (2019)
Matthew A. Reyna, Christopher Josef, Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford
Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019. CinC (2019)
Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. KDD (2018)
Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. CoRR (2018)
Camilo E. Valderrama, Faezeh Marzbanrad, Lisa Stroux, Boris Martinez, Rachel Hall-Clifford, Chengyu Liu, Nasim Katebi, Peter Rohloff, Gari D. Clifford
Improving the Quality of Point of Care Diagnostics with Real-Time Machine Learning in Low Literacy LMIC Settings. COMPASS (2018)
Ayse S. Cakmak, Erik Reinertsen, Herman A. Taylor, Amit J. Shah, Gari D. Clifford
Personalized heart failure severity estimates using passive smartphone data. IEEE BigData (2018)
Giulia Da Poian, Christopher J. Rozell, Riccardo Bernardini, Roberto Rinaldo, Gari D. Clifford
Matched Filtering for Heart Rate Estimation on Compressive Sensing ECG Measurements. IEEE Trans. Biomed. Eng. 65 (6) (2018)
Mohammad M. Ghassemi, Benjamin Moody, Li-Wei H. Lehman, Christopher Song, Qiao Li, Haoqi Sun, M. Brandon Westover, Gari D. Clifford
You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018. CinC (2018)
Chengyu Liu, Qiao Li, Pradyumna B. Suresha, Gari D. Clifford
Combining Multi-source Features and Support Vector Machine for Heart Rhythm Classification. CinC (2017)
Gari D. Clifford, Chengyu Liu, Benjamin Moody, Li-Wei H. Lehman, Ikaro Silva, Qiao Li, Alistair E. W. Johnson, Roger G. Mark
AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017. CinC (2017)
Samaneh Nasiri Ghosheh Bolagh, Gari D. Clifford
Subject Selection on a Riemannian Manifold for Unsupervised Cross-subject Seizure Detection. CoRR (2017)
Joachim A. Behar, Niclas Palmius, Jonathan Daly, Qiao Li, Fabiola Rizzatti, Lia Bittencourt, Gari D. Clifford
Sleep Questionnaires in Screening for Obstructive Sleep Apnea. CinC (2017)
Supreeth Prajwal Shashikumar, Amit J. Shah, Qiao Li, Gari D. Clifford, Shamim Nemati
A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology. BHI (2017)
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
Digital health system for personalised COPD long-term management. BMC Medical Informatics Decis. Mak. 17 (1) (2017)
Faezeh Marzbanrad, Gari D. Clifford
Analyzing Fetal and Maternal Cardiorespiratory Interactions During Labor. CinC (2017)
Alistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati, Katherine E. Niehaus, David A. Clifton, Gari D. Clifford
Machine Learning and Decision Support in Critical Care. Proc. IEEE 104 (2) (2016)
Faezeh Marzbanrad, Ahsan H. Khandoker, Yoshitaka Kimura, Marimuthu Palaniswami, Gari D. Clifford
Estimating Fetal Gestational Age Using Cardiac Valve Intervals. CinC (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
Classification of Normal/Abnormal Heart Sound Recordings: the PhysioNet/Computing in Cardiology Challenge 2016. CinC (2016)
Chengyu Liu, Qiao Li, Gari D. Clifford
Evaluation of the Accuracy and Noise Response of an Open-source Pulse Onset Detection Algorithm on Pulsatile Waveform Databases. CinC (2016)
Shamim Nemati, Mohammad M. Ghassemi, Vaidehi Ambai, Nino Isakadze, Oleksiy Levantsevych, Amit J. Shah, Gari D. Clifford
Monitoring and detecting atrial fibrillation using wearable technology. EMBC (2016)
David B. Springer, Lionel Tarassenko, Gari D. Clifford
Logistic Regression-HSMM-Based Heart Sound Segmentation. IEEE Trans. Biomed. Eng. 63 (4) (2016)
Shamim Nemati, Mohammad M. Ghassemi, Gari D. Clifford
Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach. EMBC (2016)
Arvind Raghu, Devarsetty Praveen, David Peiris, Lionel Tarassenko, Gari D. Clifford
Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth study. BMC Medical Informatics Decis. Mak. 15 (2015)
Julien Oster, Joachim Behar, Omid Sayadi, Shamim Nemati, Alistair E. W. Johnson, Gari D. Clifford
Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters. IEEE Trans. Biomed. Eng. 62 (9) (2015)
Gari D. Clifford, Ikaro Silva, Benjamin Moody, Qiao Li, Danesh Kella, Abdullah Shahin, Tristan Kooistra, Diane Perry, Roger G. Mark
The PhysioNet/Computing in Cardiology Challenge 2015: Reducing False Arrhythmia Alarms in the ICU. CinC (2015)
Joachim Behar, Aoife Roebuck, Mohammed Shahid, Jonathan Daly, Andre Hallack, Niclas Palmius, John Stradling, Gari D. Clifford
SleepAp: An Automated Obstructive Sleep Apnoea Screening Application for Smartphones. IEEE J. Biomed. Health Informatics 19 (1) (2015)
Tingting Zhu, Nic Dunkley, Joachim Behar, David A. Clifton, Gari D. Clifford
Fusing Continuous-valued Medical Labels using a Bayesian Model. CoRR (2015)
Tingting Zhu, Marco A. F. Pimentel, Gari D. Clifford, David A. Clifton
Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram. EMBC (2015)
Joachim Behar, Fernando Andreotti, Julien Oster, Gari D. Clifford
A Bayesian Filtering Framework for Accurate Extracting of the Non Invasive FECG Morphology. CinC (2014)
Athanasios Tsanas, Gari D. Clifford, Vassiliki Vartela, Petros Sfirakis
Quantitative Insights into the Closed-loop Cardiovascular System using an Electrical Lumped Element Physiological Model. CinC (2014)
Marco A. F. Pimentel, Mauro D. Santos, David B. Springer, Gari D. Clifford
Hidden Semi-Markov Model-Based Heartbeat Detection Using Multimodal data and Signal Quality Indices. CinC (2014)
Qiao Li, Cadathur Rajagopalan, Gari D. Clifford
A machine learning approach to multi-level ECG signal quality classification. Comput. Methods Programs Biomed. 117 (3) (2014)
Fernando Andreotti, Joachim Behar, Julien Oster, Gari D. Clifford, Hagen Malberg, Sebastian Zaunseder
Optimized Modelling of Maternal ECG Beats using the Stationary Wavelet Transform. CinC (2014)
Marco A. F. Pimentel, Mauro D. Santos, Carlos Arteta, João S. Domingos, Mohammad Ali Maraci, Gari D. Clifford
Respiratory rate estimation from the oscillometric waveform obtained from a non-invasive cuff-based blood pressure device. EMBC (2014)
Gari D. Clifford, Carlos Arteta, Tingting Zhu, Marco A. F. Pimentel, Mauro D. Santos, João S. Domingos, Mohammad Ali Maraci, Joachim Behar, Julien Oster
A scalable mHealth system for noncommunicable disease management. GHTC (2014)
Qiao Li, Cadathur Rajagopalan, Gari D. Clifford
Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach. IEEE Trans. Biomed. Eng. 61 (6) (2014)
Mohsan S. Alvi, Fernando Andreotti, Julien Oster, Sebastian Zaunseder, Gari D. Clifford, Joachim Behar
fecgsyngui: A GUI Interface to fecgsynfor the Simulation of Maternal-Foetal Activity Mixtures on Abdominal Electrocardiogram Recordings. CinC (2014)
Yuanyuan Xue, Qi Li, Li Jin, Ling Feng, David A. Clifton, Gari D. Clifford
Detecting Adolescent Psychological Pressures from Micro-Blog. HIS (2014)
Tingting Zhu, Joachim Behar, Tasos Papastylianou, Gari D. Clifford
CrowdLabel: A Crowdsourcing Platform for Electrophysiology. CinC (2014)
David B. Springer, Lionel Tarassenko, Gari D. Clifford
Support Vector Machine Hidden Semi-Markov Model-based Heart Sound Segmentation. CinC (2014)
Alistair E. W. Johnson, Andrew A. Kramer, Gari D. Clifford
Data Preprocessing and Mortality Prediction: the Physionet/CinC 2012 Challenge Revisited. CinC (2014)
Alistair E. W. Johnson, Joachim Behar, Fernando Andreotti, Gari D. Clifford, Julien Oster
R- Peak Estimation using Multimodal Lead Switching. CinC (2014)
David B. Springer, Thomas Brennan, Jens Hitzeroth, Bongani M. Mayosi, Lionel Tarassenko, Gari D. Clifford
Robust Heart Rate Estimation from Noisy Phonocardiograms. CinC (2014)
David B. Springer, Thomas Brennan, Liesl J. Zuhlke, Hassan Y. Abdelrahman, Ntobeko Ntusi, Gari D. Clifford, Bongani M. Mayosi, Lionel Tarassenko
Signal quality classification of mobile phone-recorded phonocardiogram signals. ICASSP (2014)
Roberta Colloca, Alistair E. W. Johnson, Luca T. Mainardi, Gari D. Clifford
A Support Vector Machine Approach for Reliable Detection of Atrial Fibrillation Events. CinC (2013)
Ikaro Silva, Joachim Behar, Reza Sameni, Tingting Zhu, Julien Oster, Gari D. Clifford, George B. Moody
Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013. CinC (2013)
Joachim Behar, Aoife Roebuck, Mohammed Shahid, Jonathan Daly, Andre Hallack, Niclas Palmius, John Stradling, Gari D. Clifford
SleepAp: An Automated Obstructive Sleep Apnoea Screening Application for Smartphones. CinC (2013)
Yuanyuan Xue, Qi Li, Ling Feng, Gari D. Clifford, David A. Clifton
Towards a micro-blog platform for sensing and easing adolescent psychological pressures. UbiComp (Adjunct Publication) (2013)

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Publication Activity (10 Years)

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Gari D. Clifford