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)

A dynamical model for generating synthetic electrocardiogram signals. - Patrick E. McSharry; Gari D. Clifford; Lionel Tarassenko; Leonard A. Smith (IEEE Trans. Biomed. Eng., 2003)

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 (ICCSA (1), 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 (ICOIN, 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 (NPC, 2004)

Development and Optimization of a Critical Care Alert and Display (CCAD) System using Retrospective ICU Databases. - Brian Janz; Mohammed Saeed 001; Joseph J. Frassica; Gari D. Clifford; Roger G. Mark (AMIA, 2005)

Quantifying errors in spectral estimates of HRV due to beat replacement and resampling. - Gari D. Clifford; Lionel Tarassenko (IEEE Trans. Biomed. Eng., 2005)

Application of independent component analysis in removing artefacts from the electrocardiogram. - Taigang He; Gari D. Clifford; Lionel Tarassenko (Neural Comput. Appl., 2006)

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)

A Nonlinear Bayesian Filtering Framework for ECG Denoising. - Reza Sameni; Mohammad Bagher Shamsollahi; Christian Jutten; Gari D. Clifford (IEEE Trans. Biomed. Eng., 2007)

Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform. - Anton Aboukhalil; Larry Nielsen; Mohammed Saeed 001; Roger G. Mark; Gari D. Clifford (J. Biomed. Informatics, 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)

Intelligent Heartsound Diagnostics on a Cellphone Using a Hands-Free Kit. - Tiffany Chen; Katherine Kuan; Leo A. Celi; Gari D. Clifford (AAAI Spring Symposium: Artificial Intelligence for Development, 2010)

Data Fusion for Improved Respiration Rate Estimation. - Shamim Nemati; Atul Malhotra; Gari D. Clifford (EURASIP J. Adv. Signal Process., 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)

Open-access MIMIC-II database for intensive care research. - Joon Lee; Daniel J. Scott; Mauricio Villarroel; Gari D. Clifford; Mohammed Saeed 001; Roger G. Mark (EMBC, 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 (MobiHealth, 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)

Fusion of image and signal processing for the detection of obstructive sleep apnea. - Elnaz Gederi; Gari D. Clifford (BHI, 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 (EUSIPCO, 2012)

Non Invasive FECG Extraction from a Set of Abdominal Sensors. - Joachim Behar; Julien Oster; Gari D. Clifford (CinC, 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 (CinC, 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 (CinC, 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 011; Gari D. Clifford (CinC, 2013)

An Artificial Model of the Electrocardiogram during Paroxysmal Atrial Fibrillation. - Julien Oster; Gari D. Clifford (CinC, 2013)

Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013. - Ikaro Silva; Joachim Behar; Reza Sameni; Tingting Zhu 001; Julien Oster; Gari D. Clifford; George B. Moody (CinC, 2013)

Bayesian Voting of Multiple Annotators for Improved QT Interval Estimation. - Tingting Zhu 001; Alistair E. W. Johnson; Joachim Behar; Gari D. Clifford (CinC, 2013)

Towards a micro-blog platform for sensing and easing adolescent psychological pressures. - Yuanyuan Xue; Qi Li 006; Ling Feng; Gari D. Clifford; David A. Clifton (UbiComp (Adjunct Publication), 2013)

ECG Signal Quality During Arrhythmia and Its Application to False Alarm Reduction. - Joachim Behar; Julien Oster; Qiao Li 011; Gari D. Clifford (IEEE Trans. Biomed. Eng., 2013)

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 (CinC, 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 (CinC, 2014)

A Bayesian Filtering Framework for Accurate Extracting of the Non Invasive FECG Morphology. - Joachim Behar; Fernando Andreotti; Julien Oster; Gari D. Clifford (CinC, 2014)

R- Peak Estimation using Multimodal Lead Switching. - Alistair E. W. Johnson; Joachim Behar; Fernando Andreotti; Gari D. Clifford; Julien Oster (CinC, 2014)

Data Preprocessing and Mortality Prediction: the Physionet/CinC 2012 Challenge Revisited. - Alistair E. W. Johnson; Andrew A. Kramer; Gari D. Clifford (CinC, 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 (CinC, 2014)

Robust Heart Rate Estimation from Noisy Phonocardiograms. - David B. Springer; Thomas Brennan; Jens Hitzeroth; Bongani M. Mayosi; Lionel Tarassenko; Gari D. Clifford (CinC, 2014)

Support Vector Machine Hidden Semi-Markov Model-based Heart Sound Segmentation. - David B. Springer; Lionel Tarassenko; Gari D. Clifford (CinC, 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 (CinC, 2014)

CrowdLabel: A Crowdsourcing Platform for Electrophysiology. - Tingting Zhu 001; Joachim Behar; Tasos Papastylianou; Gari D. Clifford (CinC, 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 (EMBC, 2014)

A scalable mHealth system for noncommunicable disease management. - Gari D. Clifford; Carlos Arteta; Tingting Zhu 001; Marco A. F. Pimentel; Mauro D. Santos; João S. Domingos; Mohammad Ali Maraci; Joachim Behar; Julien Oster (GHTC, 2014)

Detecting Adolescent Psychological Pressures from Micro-Blog. - Yuanyuan Xue; Qi Li 006; Li Jin; Ling Feng; David A. Clifton; Gari D. Clifford (HIS, 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 (ICASSP, 2014)

A machine learning approach to multi-level ECG signal quality classification. - Qiao Li 011; Cadathur Rajagopalan; Gari D. Clifford (Comput. Methods Programs Biomed., 2014)

Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach. - Qiao Li 011; Cadathur Rajagopalan; Gari D. Clifford (IEEE Trans. Biomed. Eng., 2014)

The PhysioNet/Computing in Cardiology Challenge 2015: Reducing False Arrhythmia Alarms in the ICU. - Gari D. Clifford; Ikaro Silva; Benjamin Moody; Qiao Li 011; Danesh Kella; Abdullah Shahin; Tristan Kooistra; Diane Perry; Roger G. Mark (CinC, 2015)

Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram. - Tingting Zhu 001; Marco A. F. Pimentel; Gari D. Clifford; David A. Clifton (EMBC, 2015)

Fusing Continuous-valued Medical Labels using a Bayesian Model. - Tingting Zhu 001; Nic Dunkley; Joachim Behar; David A. Clifton; Gari D. Clifford (CoRR, 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)

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)

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)

Evaluation of the Accuracy and Noise Response of an Open-source Pulse Onset Detection Algorithm on Pulsatile Waveform Databases. - Chengyu Liu 001; Qiao Li 011; Gari D. Clifford (CinC, 2016)

Classification of Normal/Abnormal Heart Sound Recordings: the PhysioNet/Computing in Cardiology Challenge 2016. - Gari D. Clifford; Chengyu Liu 001; David B. Springer; Benjamin Moody; Qiao Li 011; Ricardo C. Abad; José Millet; Ikaro Silva; Alistair E. W. Johnson; Roger G. Mark (CinC, 2016)

Estimating Fetal Gestational Age Using Cardiac Valve Intervals. - Faezeh Marzbanrad; Ahsan H. Khandoker; Yoshitaka Kimura; Marimuthu Palaniswami; Gari D. Clifford (CinC, 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 (EMBC, 2016)

Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach. - Shamim Nemati; Mohammad M. Ghassemi; Gari D. Clifford (EMBC, 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)

Logistic Regression-HSMM-Based Heart Sound Segmentation. - David B. Springer; Lionel Tarassenko; Gari D. Clifford (IEEE Trans. Biomed. Eng., 2016)

A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology. - Supreeth Prajwal Shashikumar; Amit J. Shah; Qiao Li 011; Gari D. Clifford; Shamim Nemati (BHI, 2017)

Sleep Questionnaires in Screening for Obstructive Sleep Apnea. - Joachim A. Behar; Niclas Palmius; Jonathan Daly; Qiao Li 011; Fabiola Rizzatti; Lia Bittencourt; Gari D. Clifford (CinC, 2017)

AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017. - Gari D. Clifford; Chengyu Liu 001; Benjamin Moody; Li-Wei H. Lehman; Ikaro Silva; Qiao Li 011; Alistair E. W. Johnson; Roger G. Mark (CinC, 2017)

Combining Multi-source Features and Support Vector Machine for Heart Rhythm Classification. - Chengyu Liu 001; Qiao Li 011; Pradyumna B. Suresha; Gari D. Clifford (CinC, 2017)

Analyzing Fetal and Maternal Cardiorespiratory Interactions During Labor. - Faezeh Marzbanrad; Gari D. Clifford (CinC, 2017)

Subject Selection on a Riemannian Manifold for Unsupervised Cross-subject Seizure Detection. - Samaneh Nasiri Ghosheh Bolagh; Gari D. Clifford (CoRR, 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; et al. (BMC Medical Informatics Decis. Mak., 2017)

Personalized heart failure severity estimates using passive smartphone data. - Ayse S. Cakmak; Erik Reinertsen; Herman A. Taylor; Amit J. Shah; Gari D. Clifford (IEEE BigData, 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 011; Haoqi Sun; M. Brandon Westover; Gari D. Clifford (CinC, 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 001; Nasim Katebi; Peter Rohloff; Gari D. Clifford (COMPASS, 2018)

Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. - Supreeth Prajwal Shashikumar; Amit J. Shah; Gari D. Clifford; Shamim Nemati (KDD, 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)

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 (BHI, 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 001; Shamim Nemati; Gari D. Clifford (CinC, 2019)

Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care. - Tingting Zhu 001; Marco A. F. Pimentel; Gari D. Clifford; David A. Clifton (IEEE J. Biomed. Health Informatics, 2019)

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. - Matthew A. Reyna; Erick Andres Perez-Alday; Annie Gu; Chengyu Liu 001; Salman Seyedi; Ali Bahrami Rad; Andoni Elola; Qiao Li 011; Ashish Sharma 001; Gari D. Clifford (CinC, 2020)

Attentive Adversarial Network for Large-Scale Sleep Staging. - Samaneh Nasiri; Gari D. Clifford (MLHC, 2020)

Remote health monitoring in the time of COVID-19. - Joachim A. Behar; Chengyu Liu 001; 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; et al. (CoRR, 2020)

The Future AI in Healthcare: A Tsunami of False Alarms or a Product of Experts? - 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 011; Pramod Gupta; Thomas Neylan; Samuel A. McLean; Gari D. Clifford (CoRR, 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)

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)

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)

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 011; et al. (CinC, 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)

An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms. - Salman Seyedi; Li Xiong 001; Shamim Nemati; 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)

Privacy-Preserving Eye-tracking Using Deep Learning. - Salman Seyedi; Zifan Jiang; Allan I. Levey; 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 001; Chengyu Liu 001; Gari D. Clifford; Nan Liu 003 (CoRR, 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)

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)

Generalizable Seizure Detection Model Using Generating Transferable Adversarial Features. - Samaneh Nasiri; Gari D. Clifford (IEEE Signal Process. Lett., 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)

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)

Temporal-Framing Adaptive Network for Heart Sound Segmentation Without Prior Knowledge of State Duration. - Xingyao Wang 001; Chengyu Liu 001; Yuwen Li 002; Xianghong Cheng; Jianqing Li 002; Gari D. Clifford (IEEE Trans. Biomed. Eng., 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; et al. (IEEE J. Biomed. Health Informatics, 2021)

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 011; Gari D. Clifford; Roger G. Mark; Li-Wei H. Lehman (CinC, 2022)

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022. - Matthew A. Reyna; Yashar Kiarashi; Andoni Elola; Jorge Oliveira 002; Francesco Renna; Annie Gu; Erick Andres Perez-Alday; Nadi Sadr; Ashish Sharma 001; Sandra da Silva Mattos; Miguel T. Coimbra; Reza Sameni; et al. (CinC, 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 (PETRA, 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)

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 002; Omer T. Inan (Sensors, 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)

The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification. - Jorge Oliveira 002; 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; et al. (IEEE J. Biomed. Health Informatics, 2022)

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; et al. (CinC, 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 011; Gari D. Clifford; Roger G. Mark (NeurIPS, 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)

A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising. - Mircea Dumitru; Qiao Li 011; Erick Andres Perez-Alday; Ali Bahrami Rad; Gari D. Clifford; Reza Sameni (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)

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)

ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization. - Kshama Kodthalu Shivashankara; Deepanshi 002; Afagh Mehri Shervedani; Gari D. Clifford; Matthew A. Reyna; Reza Sameni (CoRR, 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)

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, 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, 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 001; Chengyu Liu 001; Gari D. Clifford; Nan Liu 003 (J. Open Source Softw., 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, 2023)

Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram. - Andoni Elola; Elisabete Aramendi; Jorge Oliveira 002; Francesco Renna; Miguel T. Coimbra; Matthew A. Reyna; Reza Sameni; Gari D. Clifford; Ali Bahrami Rad (IEEE J. Biomed. Health Informatics, 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, 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; et al. (Sensors, 2023)

Advancing Fetal Surveillance with Physiological Sensing: Detecting Hypoxia in Fetal Sheep. - Weitao Tang; Nhi Tran; Nasim Katebi; Reza Sameni; Gari D. Clifford; David Walker; Vaishnavi Horlali; Callum Taylor; Robert Galinsky; Faezeh Marzbanrad (IEEE SENSORS, 2024)

Benchmarking changepoint detection algorithms on cardiac time series. - Ayse S. Cakmak; Erik Reinertsen; Shamim Nemati; 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)

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)

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 002; James Weigle; Zuzana Koscova; Kiersten Campbell; Kshama Kodthalu Shivashankara; Soheil Saghafi; Sepideh Nikookar; Mohsen Motie Shirazi; Yashar Kiarashi; Salman Seyedi; Gari D. Clifford; et al. (CoRR, 2024)

An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains. - Jun Li; Aaron Aguirre; Junior Moura; Che Liu; Lanhai Zhong; Chenxi Sun; Gari D. Clifford; M. Brandon Westover; Shenda Hong (CoRR, 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)

Detecting Cognitive Impairment and Psychological Well-being among Older Adults Using Facial, Acoustic, Linguistic, and Cardiovascular Patterns Derived from Remote Conversations. - Xiaofan Mu; Salman Seyedi; Iris Zheng; Zifan Jiang; Liu Chen; Bolaji Omofojoye; Rachel Hershenberg; Allan I. Levey; Gari D. Clifford; Hiroko H. Dodge; Hyeokhyen Kwon (CoRR, 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, 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, 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., 2024)

Physics-Informed Transfer Learning to Enhance Sleep Staging. - Samuel H. Waters; Gari D. Clifford (IEEE Trans. Biomed. Eng., 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 002 (IEEE J. Biomed. Health Informatics, 2024)

A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs. - Ali Bahrami Rad; Miguel Kirsch; Qiao Li 011; Joel Xue; Reza Sameni; Dave Albert; Gari D. Clifford (Sensors, 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, 2024)

Automated phenotyping of mild cognitive impairment and Alzheimer's disease and related dementias using electronic health records. - Ruoqi Wei; Stephanie S. Buss; Rebecca Milde; Marta Fernandes; Daniel Sumsion; Elijah Davis; Wan-Yee Kong; Yiwen Xiong; Jet Veltink; Samvrit Rao; Tara M. Westover; Lydia Petersen; et al. (Int. J. Medical Informatics, 2025)

Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram. - Albert J. Rogers; Neal K. Bhatia; Sabyasachi Bandyopadhyay; James E. Tooley; Rayan Ansari; Vyom Thakkar; Justin Xu; Jessica Torres Soto; Jagteshwar S. Tung; Mahmood I. Alhusseini; Paul Clopton; Reza Sameni; et al. (npj Digit. Medicine, 2025)

Language Models for Online Depression Detection: A Review and Benchmark Analysis on Remote Interviews. - Ruiyang Qin; Kai Yang 007; Ahmed Abbasi; David G. Dobolyi; Salman Seyedi; Emily Griner; Hyeokhyen Kwon; Robert O. Cotes; Zifan Jiang; Gari D. Clifford; Ryan A. Cook (ACM Trans. Manag. Inf. Syst., 2025)

Edge AI for Real-time Fetal Assessment in Rural Guatemala. - Nasim Katebi; Mohammad Ahmad; Mohsen Motie Shirazi; Daniel Phan; Ellen Kolesnikova; Sepideh Nikookar; Alireza Rafiei; Murali K. Korikana; Rachel Hall-Clifford; Esteban Castro; Rosibely Sut; Enma Coyote; et al. (CoRR, 2025)

Auto-FEDUS: Autoregressive Generative Modeling of Doppler Ultrasound Signals from Fetal Electrocardiograms. - Alireza Rafiei; Gari D. Clifford; Nasim Katebi (CoRR, 2025)

Cross-Learning Between ECG and PCG: Exploring Common and Exclusive Characteristics of Bimodal Electromechanical Cardiac Waveforms. - Sajjad Karimi; Amit J. Shah; Gari D. Clifford; Reza Sameni (CoRR, 2025)

Fetal Sleep: A Cross-Species Review of Physiology, Measurement, and Classification. - Weitao Tang; Johann Vargas-Calixto; Nasim Katebi; Robert Galinsky; Gari D. Clifford; Faezeh Marzbanrad (CoRR, 2025)