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ORCIDGari D. Clifford
Gari David Clifford
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- affiliation: Emory University, Atlanta, GA, USA
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2020 – today
- 2024
[j50]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): 1730 (2024)- [j49]Ali Bahrami Rad, Miguel Kirsch, Qiao Li, Joel Xue, Reza Sameni, Dave Albert, Gari D. Clifford:
A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs. Sensors 24(17): 5708 (2024) - [j48]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): 1197-1208 (2024) - [j47]Samuel H. Waters, Gari D. Clifford:
Physics-Informed Transfer Learning to Enhance Sleep Staging. IEEE Trans. Biomed. Eng. 71(5): 1599-1606 (2024) - [j46]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): 1680-1691 (2024) - [j45]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): 2650-2661 (2024) - [j44]Yashar Kiarashi, Pradyumna B. Suresha, Ali Bahrami Rad, Matthew A. Reyna, Conor Anderson, Jenny Foster, Johanna Lantz, Tania Villavicencio, Theresa Hamlin, Gari D. Clifford:
Off-Body Sleep Analysis for Predicting Adverse Behavior in Individuals With Autism Spectrum Disorder. IEEE J. Biomed. Health Informatics 28(11): 6886-6896 (2024) - [i26]Ayse S. Cakmak, Erik Reinertsen, Shamim Nemati, Gari D. Clifford:
Benchmarking changepoint detection algorithms on cardiac time series. CoRR abs/2404.12408 (2024) - [i25]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 abs/2407.21691 (2024) - [i24]Chaitra Hegde, Yashar Kiarashi, Allan I. Levey, Amy D. Rodriguez, Hyeokhyen Kwon, Gari D. Clifford:
Feasibility of assessing cognitive impairment via distributed camera network and privacy-preserving edge computing. CoRR abs/2408.10442 (2024) - [i23]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:
ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis. CoRR abs/2409.16612 (2024) - [i22]Sajjad Karimi, Shirin Karimi, Amit J. Shah, Gari D. Clifford, Reza Sameni:
Electromechanical Dynamics of the Heart: A Study of Cardiac Hysteresis During Physical Stress Test. CoRR abs/2410.19667 (2024) - 2023
- [j43]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): 104076 (2023) - [j42]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): 5391 (2023) - [j41]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: 667-680 (2023) - [j40]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): 1766 (2023) - [j39]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): 8330 (2023) - [j38]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): 9517 (2023) - [j37]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): 2501-2511 (2023) - [j36]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): 3856-3866 (2023) - [c58]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: 1-4 - [c57]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 - [i21]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 abs/2301.02607 (2023) - [i20]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 abs/2305.05062 (2023) - [i19]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 abs/2305.19342 (2023) - [i18]Kshama Kodthalu Shivashankara, Deepanshi, Afagh Mehri Shervedani, Gari D. Clifford, Matthew A. Reyna, Reza Sameni:
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization. CoRR abs/2307.01946 (2023) - [i17]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 abs/2312.09433 (2023) - 2022
- [j35]Chaitra Hegde, Ali Bahrami Rad, Reza Sameni, Gari David Clifford:
Modeling Social Distancing and Quantifying Epidemic Disease Exposure in a Built Environment. IEEE J. Sel. Top. Signal Process. 16(2): 289-299 (2022) - [j34]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): 1130 (2022) - [j33]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): 2511 (2022) - [j32]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): 2524-2535 (2022) - [c56]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:
PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms. CinC 2022: 1-4 - [c55]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: 1-4 - [c54]Clayton Ewing Feustel, Nicolas Shu, Gari D. Clifford, David V. Anderson, Craig Zimring:
Practical High-Fidelity Sensing of the Sleep Environment in the Home. PETRA 2022: 155-158 - [i16]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 abs/2209.13385 (2022) - [i15]Aref Einizade, Samaneh Nasiri, Sepideh Hajipour Sardouie, Gari D. Clifford:
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation. CoRR abs/2212.04881 (2022) - 2021
- [j31]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: 104289 (2021) - [j30]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: 543176 (2021) - [j29]Samaneh Nasiri, Gari D. Clifford:
Generalizable Seizure Detection Model Using Generating Transferable Adversarial Features. IEEE Signal Process. Lett. 28: 568-572 (2021) - [j28]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): 11-18 (2021) - [j27]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): 650-663 (2021) - [j26]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): 664-672 (2021) - [j25]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): 2866-2876 (2021) - [c53]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: 1-4 - [i14]Salman Seyedi, Li Xiong, Shamim Nemati, Gari D. Clifford:
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms. CoRR abs/2101.12099 (2021) - [i13]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 abs/2104.01511 (2021) - [i12]Salman Seyedi, Zifan Jiang, Allan I. Levey, Gari D. Clifford:
Privacy-Preserving Eye-tracking Using Deep Learning. CoRR abs/2106.09621 (2021) - [i11]Jorge Oliveira, Francesco Renna, Paulo Dias Costa, Diogo 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 abs/2108.00813 (2021) - [i10]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 abs/2111.09649 (2021) - [i9]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 abs/2112.15442 (2021) - 2020
- [j24]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: 56 (2020) - [j23]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): 6:1-6:29 (2020) - [c52]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: 1-4 - [c51]Samaneh Nasiri, Gari D. Clifford:
Attentive Adversarial Network for Large-Scale Sleep Staging. MLHC 2020: 457-478 - [i8]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 abs/2005.04426 (2020) - [i7]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 abs/2005.08537 (2020) - [i6]Gari D. Clifford:
The Future AI in Healthcare: A Tsunami of False Alarms or a Product of Experts? CoRR abs/2007.10502 (2020) - [i5]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 abs/2011.07406 (2020) - [i4]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 abs/2012.11013 (2020)
2010 – 2019
- 2019
- [j22]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): 47-58 (2019) - [c50]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: 1-4 - [c49]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: 1-4 - 2018
- [j21]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): 1349-1358 (2018) - [c48]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: 1569-1574 - [c47]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: 1-4 - [c46]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: 2:1-2:11 - [c45]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: 715-723 - [i3]Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati:
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. CoRR abs/1805.09133 (2018) - 2017
- [j20]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): 19:1-19:13 (2017) - [c44]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: 141-144 - [c43]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 - [c42]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 - [c41]Chengyu Liu, Qiao Li, Pradyumna B. Suresha, Gari D. Clifford:
Combining Multi-source Features and Support Vector Machine for Heart Rhythm Classification. CinC 2017 - [c40]Faezeh Marzbanrad, Gari D. Clifford:
Analyzing Fetal and Maternal Cardiorespiratory Interactions During Labor. CinC 2017 - [i2]Samaneh Nasiri Ghosheh Bolagh, Gari D. Clifford:
Subject Selection on a Riemannian Manifold for Unsupervised Cross-subject Seizure Detection. CoRR abs/1712.00465 (2017) - 2016
- [j19]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): 444-466 (2016) - [j18]David B. Springer, Lionel Tarassenko, Gari D. Clifford:
Logistic Regression-HSMM-Based Heart Sound Segmentation. IEEE Trans. Biomed. Eng. 63(4): 822-832 (2016) - [c39]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 - [c38]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 - [c37]Faezeh Marzbanrad, Ahsan H. Khandoker, Yoshitaka Kimura, Marimuthu Palaniswami, Gari D. Clifford:
Estimating Fetal Gestational Age Using Cardiac Valve Intervals. CinC 2016 - [c36]Shamim Nemati, Mohammad M. Ghassemi, Gari D. Clifford:
Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach. EMBC 2016: 2978-2981 - [c35]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: 3394-3397 - 2015
- [j17]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: 36 (2015) - [j16]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): 2125-2134 (2015) - [j15]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): 325-331 (2015) - [c34]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: 273-276 - [c33]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: 6138-6141 - [i1]Tingting Zhu, Nic Dunkley, Joachim Behar, David A. Clifton, Gari D. Clifford:
Fusing Continuous-valued Medical Labels using a Bayesian Model. CoRR abs/1503.06619 (2015) - 2014
- [j14]Qiao Li, Cadathur Rajagopalan, Gari D. Clifford:
A machine learning approach to multi-level ECG signal quality classification. Comput. Methods Programs Biomed. 117(3): 435-447 (2014) - [j13]Qiao Li, Cadathur Rajagopalan, Gari D. Clifford:
Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach. IEEE Trans. Biomed. Eng. 61(6): 1607-1613 (2014) - [c32]Joachim Behar, Fernando Andreotti, Julien Oster, Gari D. Clifford:
A Bayesian Filtering Framework for Accurate Extracting of the Non Invasive FECG Morphology. CinC 2014: 53-56 - [c31]Alistair E. W. Johnson, Andrew A. Kramer, Gari D. Clifford:
Data Preprocessing and Mortality Prediction: the Physionet/CinC 2012 Challenge Revisited. CinC 2014: 157-160 - [c30]Alistair E. W. Johnson, Joachim Behar, Fernando Andreotti, Gari D. Clifford, Julien Oster:
R- Peak Estimation using Multimodal Lead Switching. CinC 2014: 281-284 - [c29]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: 325-328 - [c28]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: 509-512 - [c27]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: 541-544 - [c26]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: 553-556 - [c25]David B. Springer, Thomas Brennan, Jens Hitzeroth, Bongani M. Mayosi, Lionel Tarassenko, Gari D. Clifford:
Robust Heart Rate Estimation from Noisy Phonocardiograms. CinC 2014: 613-616 - [c24]David B. Springer, Lionel Tarassenko, Gari D. Clifford:
Support Vector Machine Hidden Semi-Markov Model-based Heart Sound Segmentation. CinC 2014: 625-628 - [c23]Tingting Zhu, Joachim Behar, Tasos Papastylianou, Gari D. Clifford:
CrowdLabel: A Crowdsourcing Platform for Electrophysiology. CinC 2014: 789-792 - [c22]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: 3821-3824 - [c21]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: 41-48 - [c20]Yuanyuan Xue, Qi Li, Li Jin, Ling Feng, David A. Clifton, Gari D. Clifford:
Detecting Adolescent Psychological Pressures from Micro-Blog. HIS 2014: 83-94 - [c19]