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Viewing Publication 1 - 96 from 96

2024

2023

Explainable automated seizure detection using attentive deep multi-view networksAref Einizade, Samaneh Nasiri, Mohsen Mozafari, Sepideh Hajipour Sardouie, Gari D. Clifford. bspc, 79(Part):104076, 2023. [doi]

ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregationAref Einizade, Samaneh Nasiri, Sepideh Hajipour Sardouie, Gari D. Clifford. NN, 164:667-680, July 2023. [doi]

Beyond Heart Murmur Detection: Automatic Murmur Grading From PhonocardiogramAndoni Elola, Elisabete Aramendi, Jorge Oliveira 0002, Francesco Renna, Miguel T. Coimbra, Matthew A. Reyna, Reza Sameni, Gari D. Clifford, Ali Bahrami Rad. titb, 27(8):3856-3866, August 2023. [doi]

Classifying Tremor Dominant and Postural Instability and Gait Difficulty Subtypes of Parkinson's Disease from Full-Body KinematicsN. Jabin Gong, Gari D. Clifford, Christine D. Esper, Stewart A. Factor, J. Lucas McKay, HyeokHyen Kwon. sensors, 23(19):8330, October 2023. [doi]

Hierarchical Attentive Network for Gestational Age Estimation in Low-Resource SettingsNasim Katebi, Reza Sameni, Peter Rohloff, Gari D. Clifford. titb, 27(5):2501-2511, May 2023. [doi]

Graph Trilateration for Indoor Localization in Sparsely Distributed Edge Computing Devices in Complex Environments Using Bluetooth TechnologyYashar 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, 23(23):9517, December 2023. [doi]

An Explainable Spatial-Temporal Graphical Convolutional Network to Score Freezing of Gait in Parkinsonian PatientsHyeokHyen Kwon, Gari D. Clifford, Imari Genias, Doug Bernhard, Christine D. Esper, Stewart A. Factor, J. Lucas McKay. sensors, 23(4):1766, February 2023. [doi]

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU MonitorsLi-Wei H. Lehman, Benjamin Moody, Harsh Deep, Feng Wu, Hasan Saeed, Lucas McCullum, Diane Perry, Tristan Struja, Qiao Li 0011, Gari D. Clifford, Roger G. Mark. nips 2023: [doi]

HRnV-Calc: A Software for Heart Rate n-Variability and Heart Rate Variability AnalysisChenglin Niu, Dagang Guo, Marcus Eng Hock Ong, Zhixiong Koh, Guerry Alexiane Laure Marie-Alix, Andrew Fu Wah Ho, Zhiping Lin, Chengyu Liu 0001, Gari D. Clifford, Nan Liu 0003. jossw, 8(87):5391, July 2023. [doi]

2022

The CirCor DigiScope Dataset: From Murmur Detection to Murmur ClassificationJorge Oliveira 0002, Francesco Renna, Paulo Dias Costa, 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. titb, 26(6):2524-2535, 2022. [doi]

PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological WaveformsLucas McCullum, Hasan Saeed, Benjamin Moody, Diane Perry, Eric Gottlieb, Tom J. Pollard, Xavier Borrat Frigola, Qiao Li 0011, Gari D. Clifford, Roger G. Mark, Li-Wei H. Lehman. cinc 2022: 1-4 [doi]

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022Matthew A. Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira 0002, Francesco Renna, Annie Gu, Erick Andres Perez-Alday, Nadi Sadr, Ashish Sharma 0001, Sandra da Silva Mattos, Miguel T. Coimbra, Reza Sameni, Ali Bahrami Rad, Gari D. Clifford. cinc 2022: 1-4 [doi]

A Wearable Multimodal Sensing System for Tracking Changes in Pulmonary Fluid Status, Lung Sounds, and Respiratory MarkersJesus 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, 22(3):1130, 2022. [doi]

An Edge Computing and Ambient Data Capture System for Clinical and Home EnvironmentsPradyumna Byappanahalli Suresha, Chaitra Hegde, Zifan Jiang, Gari D. Clifford. sensors, 22(7):2511, 2022. [doi]

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 CohortAyse 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 0011, Gari D. Clifford. titb, 25(8):2866-2876, 2021. [doi]

Deep Convolutional Neural Networks and Transfer Learning for Measuring Cognitive Impairment Using Eye-Tracking in a Distributed Tablet-Based EnvironmentRafi U. Haque, Alvince L. Pongos, Cecelia M. Manzanares, James J. Lah, Allan I. Levey, Gari D. Clifford. tbe, 68(1):11-18, 2021. [doi]

Classifying Major Depressive Disorder and Response to Deep Brain Stimulation Over Time by Analyzing Facial ExpressionsZifan Jiang, Sahar Harati, Andrea Crowell, Helen S. Mayberg, Shamim Nemati, Gari D. Clifford. tbe, 68(2):664-672, 2021. [doi]

CNN-Based LCD Transcription of Blood Pressure From a Mobile Phone CameraSamruddhi S. Kulkarni, Nasim Katebi, Camilo E. Valderrama, Peter Rohloff, Gari D. Clifford. frai, 4:543176, 2021. [doi]

Generalizable Seizure Detection Model Using Generating Transferable Adversarial FeaturesSamaneh Nasiri, Gari D. Clifford. spl, 28:568-572, 2021. [doi]

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021Matthew 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 0011, Ashish Sharma, Gari D. Clifford. cinc 2021: 1-4 [doi]

Predicting presumed serious infection among hospitalized children on central venous lines with machine learningAzade Tabaie, Evan W. Orenstein, Shamim Nemati, Rajit K. Basu, Swaminathan Kandaswamy, Gari D. Clifford, Rishikesan Kamaleswaran. cbm, 132:104289, 2021. [doi]

Temporal-Framing Adaptive Network for Heart Sound Segmentation Without Prior Knowledge of State DurationXingyao Wang, Chengyu Liu 0001, Yuwen Li, Xianghong Cheng, Jianqing Li, Gari D. Clifford. tbe, 68(2):650-663, 2021. [doi]

2020

2019

2018

Personalized heart failure severity estimates using passive smartphone dataAyse S. Cakmak, Erik Reinertsen, Herman A. Taylor, Amit J. Shah, Gari D. Clifford. bigdataconf 2018: 1569-1574 [doi]

You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018Mohammad M. Ghassemi, Benjamin Moody, Li-Wei H. Lehman, Christopher Song, Qiao Li, Haoqi Sun, M. Brandon Westover, Gari D. Clifford. cinc 2018: 1-4 [doi]

Matched Filtering for Heart Rate Estimation on Compressive Sensing ECG MeasurementsGiulia Da Poian, Christopher J. Rozell, Riccardo Bernardini, Roberto Rinaldo, Gari D. Clifford. tbe, 65(6):1349-1358, 2018. [doi]

Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural NetworksSupreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati. kdd 2018: 715-723 [doi]

Improving the Quality of Point of Care Diagnostics with Real-Time Machine Learning in Low Literacy LMIC SettingsCamilo E. Valderrama, Faezeh Marzbanrad, Lisa Stroux, Boris Martinez, Rachel Hall-Clifford, Chengyu Liu, Nasim Katebi, Peter Rohloff, Gari D. Clifford. dev 2018: [doi]

2017

Combining Multi-source Features and Support Vector Machine for Heart Rhythm ClassificationChengyu Liu 0001, Qiao Li, Pradyumna B. Suresha, Gari D. Clifford. cinc 2017: [doi]

Sleep Questionnaires in Screening for Obstructive Sleep ApneaJoachim A. Behar, Niclas Palmius, Jonathan Daly, Qiao Li, Fabiola Rizzatti, Lia Bittencourt, Gari D. Clifford. cinc 2017: [doi]

AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017Gari D. Clifford, Chengyu Liu 0001, Benjamin Moody, Li-Wei H. Lehman, Ikaro Silva, Qiao Li, Alistair E. W. Johnson, Roger G. Mark. cinc 2017: [doi]

Analyzing Fetal and Maternal Cardiorespiratory Interactions During LaborFaezeh Marzbanrad, Gari D. Clifford. cinc 2017: [doi]

A deep learning approach to monitoring and detecting atrial fibrillation using wearable technologySupreeth Prajwal Shashikumar, Amit J. Shah, Qiao Li, Gari D. Clifford, Shamim Nemati. bhi 2017: 141-144 [doi]

Digital health system for personalised COPD long-term managementCarmelo 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. midm, 17(1), 2017. [doi]

2016

Evaluation of the Accuracy and Noise Response of an Open-source Pulse Onset Detection Algorithm on Pulsatile Waveform DatabasesChengyu Liu 0001, Qiao Li, Gari D. Clifford. cinc 2016: [doi]

Classification of Normal/Abnormal Heart Sound Recordings: the PhysioNet/Computing in Cardiology Challenge 2016Gari D. Clifford, Chengyu Liu 0001, David B. Springer, Benjamin Moody, Qiao Li, Ricardo Abad, José Millet, Ikaro Silva, Alistair E. W. Johnson, Roger G. Mark. cinc 2016: [doi]

Machine Learning and Decision Support in Critical CareAlistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati, Katherine E. Niehaus, David A. Clifton, Gari D. Clifford. pieee, 104(2):444-466, 2016. [doi]

Estimating Fetal Gestational Age Using Cardiac Valve IntervalsFaezeh Marzbanrad, Ahsan H. Khandoker, Yoshitaka Kimura, Marimuthu Palaniswami, Gari D. Clifford. cinc 2016: [doi]

Monitoring and detecting atrial fibrillation using wearable technologyShamim Nemati, Mohammad M. Ghassemi, Vaidehi Ambai, Nino Isakadze, Oleksiy Levantsevych, Amit Shah, Gari D. Clifford. embc 2016: 3394-3397 [doi]

Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approachShamim Nemati, Mohammad M. Ghassemi, Gari D. Clifford. embc 2016: 2978-2981 [doi]

Logistic Regression-HSMM-Based Heart Sound SegmentationDavid B. Springer, Lionel Tarassenko, Gari D. Clifford. tbe, 63(4):822-832, 2016. [doi]

2015

SleepAp: An Automated Obstructive Sleep Apnoea Screening Application for SmartphonesJoachim Behar, Aoife Roebuck, Mohammed Shahid, Jonathan Daly, Andre Hallack, Niclas Palmius, John Stradling, Gari D. Clifford. titb, 19(1):325-331, 2015. [doi]

The PhysioNet/Computing in Cardiology Challenge 2015: Reducing False Arrhythmia Alarms in the ICUGari D. Clifford, Ikaro Silva, Benjamin Moody, Qiao Li, Danesh Kella, Abdullah Shahin, Tristan Kooistra, Diane Perry, Roger G. Mark. cinc 2015: 273-276 [doi]

Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman FiltersJulien Oster, Joachim Behar, Omid Sayadi, Shamim Nemati, Alistair E. W. Johnson, Gari D. Clifford. tbe, 62(9):2125-2134, 2015. [doi]

Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth studyArvind Raghu, Devarsetty Praveen, David Peiris, Lionel Tarassenko, Gari D. Clifford. midm, 15:36, 2015. [doi]

Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogramTingting Zhu, Marco A. F. Pimentel, Gari D. Clifford, David A. Clifton. embc 2015: 6138-6141 [doi]

2014

fecgsyngui: A GUI Interface to fecgsynfor the Simulation of Maternal-Foetal Activity Mixtures on Abdominal Electrocardiogram RecordingsMohsan S. Alvi, Fernando Andreotti, Julien Oster, Sebastian Zaunseder, Gari D. Clifford, Joachim Behar. cinc 2014: 541-544 [doi]

Optimized Modelling of Maternal ECG Beats using the Stationary Wavelet TransformFernando Andreotti, Joachim Behar, Julien Oster, Gari D. Clifford, Hagen Malberg, Sebastian Zaunseder. cinc 2014: 325-328 [doi]

A Bayesian Filtering Framework for Accurate Extracting of the Non Invasive FECG MorphologyJoachim Behar, Fernando Andreotti, Julien Oster, Gari D. Clifford. cinc 2014: 53-56 [doi]

A scalable mHealth system for noncommunicable disease managementGari D. Clifford, Carlos Arteta, T. Zhu, Marco A. F. Pimentel, Mauro D. Santos, João S. Domingos, M. Maraci, Joachim Behar, Julien Oster. ghtc 2014: 41-48 [doi]

Data Preprocessing and Mortality Prediction: the Physionet/CinC 2012 Challenge RevisitedAlistair E. W. Johnson, Andrew A. Kramer, Gari D. Clifford. cinc 2014: 157-160 [doi]

R- Peak Estimation using Multimodal Lead SwitchingAlistair E. W. Johnson, Joachim Behar, Fernando Andreotti, Gari D. Clifford, Julien Oster. cinc 2014: 281-284 [doi]

A machine learning approach to multi-level ECG signal quality classificationQiao Li, Cadathur Rajagopalan, Gari D. Clifford. cmpb, 117(3):435-447, 2014. [doi]

Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning ApproachQiao Li, Cadathur Rajagopalan, Gari D. Clifford. tbe, 61(6):1607-1613, 2014. [doi]

Hidden Semi-Markov Model-Based Heartbeat Detection Using Multimodal data and Signal Quality IndicesMarco A. F. Pimentel, Mauro D. Santos, David B. Springer, Gari D. Clifford. cinc 2014: 553-556 [doi]

Respiratory rate estimation from the oscillometric waveform obtained from a non-invasive cuff-based blood pressure deviceMarco A. F. Pimentel, Mauro D. Santos, Carlos Arteta, João S. Domingos, M. A. Maraci, Gari D. Clifford. embc 2014: 3821-3824 [doi]

Support Vector Machine Hidden Semi-Markov Model-based Heart Sound SegmentationDavid B. Springer, Lionel Tarassenko, Gari D. Clifford. cinc 2014: 625-628 [doi]

Robust Heart Rate Estimation from Noisy PhonocardiogramsDavid B. Springer, Thomas Brennan, Jens Hitzeroth, Bongani M. Mayosi, Lionel Tarassenko, Gari D. Clifford. cinc 2014: 613-616 [doi]

Signal quality classification of mobile phone-recorded phonocardiogram signalsDavid B. Springer, Thomas Brennan, Liesl J. Zuhlke, Hassan Y. Abdelrahman, Ntobeko Ntusi, Gari D. Clifford, Bongani M. Mayosi, Lionel Tarassenko. icassp 2014: 1335-1339 [doi]

Quantitative Insights into the Closed-loop Cardiovascular System using an Electrical Lumped Element Physiological ModelAthanasios Tsanas, Gari D. Clifford, Vassiliki Vartela, Petros Sfirakis. cinc 2014: 509-512 [doi]

Detecting Adolescent Psychological Pressures from Micro-BlogYuanyuan Xue, Qi Li, Li Jin, Ling Feng, David A. Clifton, Gari D. Clifford. his2 2014: 83-94 [doi]

CrowdLabel: A Crowdsourcing Platform for ElectrophysiologyTingting Zhu, Joachim Behar, Tasos Papastylianou, Gari D. Clifford. cinc 2014: 789-792 [doi]

2013

ECG Signal Quality During Arrhythmia and Its Application to False Alarm ReductionJoachim Behar, Julien Oster, Qiao Li, Gari D. Clifford. tbe, 60(6):1660-1666, 2013. [doi]

Non Invasive FECG Extraction from a Set of Abdominal SensorsJoachim Behar, Julien Oster, Gari D. Clifford. cinc 2013: 297-300 [doi]

A Support Vector Machine Approach for Reliable Detection of Atrial Fibrillation EventsRoberta Colloca, Alistair E. W. Johnson, Luca T. Mainardi, Gari D. Clifford. cinc 2013: 1047-1050 [doi]

Improved Respiration Rate Estimation using a Kalman filter and Wavelet Cross-CoherenceAlistair E. W. Johnson, Sharath Choletti, Timothy G. Buchman, Gari D. Clifford. cinc 2013: 791-794 [doi]

Open Source Java-based ECG analysis Software and Android app for Atrial Fibrillation ScreeningJulien Oster, Joachim Behar, Roberta Colloca, Qichen Li, Qiao Li, Gari D. Clifford. cinc 2013: 731-734 [doi]

An Artificial Model of the Electrocardiogram during Paroxysmal Atrial FibrillationJulien Oster, Gari D. Clifford. cinc 2013: 539-542 [doi]

Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013Ikaro Silva, Joachim Behar, Reza Sameni, Tingting Zhu, Julien Oster, Gari D. Clifford, George B. Moody. cinc 2013: 149-152 [doi]

Towards a micro-blog platform for sensing and easing adolescent psychological pressuresYuanyuan Xue, Qi Li, Ling Feng, Gari D. Clifford, David A. Clifton. huc 2013: 215-218 [doi]

Bayesian Voting of Multiple Annotators for Improved QT Interval EstimationTingting Zhu, Alistair E. W. Johnson, Joachim Behar, Gari D. Clifford. cinc 2013: 659-662 [doi]

2012

Fusion of image and signal processing for the detection of obstructive sleep apneaElnaz Gederi, Gari D. Clifford. bhi 2012: 890-893 [doi]

The limited applicability of Wiener filtering to ECG signals disturbed by the MHD effectJ. W. Krug, Gari D. Clifford, G. H. Rose, Julien Oster. eusipco 2012: 959-963 [doi]

2011

2010

Intelligent Heartsound Diagnostics on a Cellphone Using a Hands-Free KitTiffany Chen, Katherine Kuan, Leo A. Celi, Gari D. Clifford. aaaiss 2010: [doi]

Data Fusion for Improved Respiration Rate EstimationShamim Nemati, Atul Malhotra, Gari D. Clifford. ejasp, 2010, 2010. [doi]

Robust Detection of Premature Ventricular Contractions Using a Wave-Based Bayesian FrameworkOmid Sayadi, Mohammad Bagher Shamsollahi, Gari D. Clifford. tbe, 57(2):353-362, 2010. [doi]

2008

2007

A Nonlinear Bayesian Filtering Framework for ECG DenoisingReza Sameni, Mohammad Bagher Shamsollahi, Christian Jutten, Gari D. Clifford. tbe, 54(12):2172-2185, 2007. [doi]

Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG SignalsReza Sameni, Gari D. Clifford, Christian Jutten, Mohammad Bagher Shamsollahi. ejasp, 2007, 2007. [doi]

2005

Quantifying errors in spectral estimates of HRV due to beat replacement and resamplingGari D. Clifford, Lionel Tarassenko. tbe, 52(4):630-638, 2005. [doi]

Development and Optimization of a Critical Care Alert and Display (CCAD) System using Retrospective ICU DatabasesBrian Janz, Mohammed Saeed, Joseph J. Frassica, Gari D. Clifford, Roger G. Mark. amia 2005: [doi]

2003

A dynamical model for generating synthetic electrocardiogram signalsPatrick E. McSharry, Gari D. Clifford, Lionel Tarassenko, Leonard A. Smith. tbe, 50(3):289-294, 2003. [doi]

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