Diagnosis of Atrial Ectopic Origin from Body Surface ECG: Insights from 3D Virtual Human Atria and Torso. - Erick Andres Perez-Alday; Michael A. Colman; Timothy D. Butters; Jonathan Higham; Daniele Giacopelli; Philip Langley; Henggui Zhang (CinC, 2013)

Spatial Refinement of a New Algorithm to Identify Focus of Atrial Ectopic Activity from 64-lead ECGs. - Erick Andres Perez-Alday; Michael A. Colman; Philip Langley; Henggui Zhang (CinC, 2014)

Comparison of Electric and Magnetic Cardiograms Produced by Myocardial Ischemia in Models of the Human Ventricle and Torso. - Erick Andres Perez-Alday; Chen Zhang; Michael A. Colman; Haibo Ni; Zizhao Gan; Henggui Zhang (CinC, 2015)

From Microscopic Calcium Sparks to the ECG: Model Reduction Approaches for Multi-scale Cardiac Simulation. - Michael A. Colman; César Parra-Rojas; Erick Andres Perez-Alday (CinC, 2015)

In Silico Investigation of the Functional Effects of KCNQ1-G269S Mutation in Human Ventricles. - Haibo Ni; Wei Wang 169; Erick Andres Perez-Alday; Henggui Zhang (CinC, 2015)

Tidal volume monitoring by electrical impedance tomography (EIT) using different regions of interest (ROI): Calibration equations. - Marco Balleza-Ordaz; Erick Andres Perez-Alday; Miguel Vargas-Luna; Pere J. Riu (Biomed. Signal Process. Control., 2015)

A New Algorithm to Diagnose Atrial Ectopic Origin from Multi Lead ECG Systems - Insights from 3D Virtual Human Atria and Torso. - Erick Andres Perez-Alday; Michael A. Colman; Philip Langley; Timothy D. Butters; Jonathan Higham; Antony J. Workman; Jules C. Hancox; Henggui Zhang (PLoS Comput. Biol., 2015)

Reconstruction of Atrial Ectopic Focal and Re-entrant Excitations from Body Surface Potentials: Insights from 3D Virtual Human Atria and Torso. - Erick Andres Perez-Alday; Michael A. Colman; Henggui Zhang (CinC, 2016)

Tidal volume monitoring by a set of tetrapolar impedance measurements selected from the 16-electrodes arrangement used in electrical impedance tomography (EIT) technique. Calibration equations in a group of healthy males. - Marco Balleza-Ordaz; Erick Andres Perez-Alday; Francisco Miguel Vargas Luna; Svetlana Kashina; Maria Raquel Huerta-Franco; L. A. Torres-González; P. J. Riu-Costa (Biomed. Signal Process. Control., 2016)

Novel non-invasive algorithm to identify the origins of re-entry and ectopic foci in the atria from 64-lead ECGs: A computational study. - Erick Andres Perez-Alday; Michael A. Colman; Philip Langley; Henggui Zhang (PLoS Comput. Biol., 2017)

The Reproducibility of Global Electrical Heterogeneity ECG Measurements. - Erick Andres Perez-Alday; Christopher Hamilton; Annabel Lipershi; Jose Manuel Monroy Trujillo; Michelle Estrella; Stephen M. sozio; Bernard Jaar; Rulan Parekh; Larisa G. Tereshchenko (CinC, 2018)

A Multiscale Investigation of Global Electrical Heterogeneity: Effects of Body Habitus, Respiration, and Tissue Conductivity. - Erick Andres Perez-Alday; Haibo Ni; Christopher Hamilton; Annabel Li-Pershing; Bernard Jaar; Jose Manuel Monroy Trujillo; Michelle Estrella; Rulan Parekh; Henggui Zhang; Larisa G. Tereshchenko (CinC, 2018)

The utility of routine clinical 12-lead ECG in assessing eligibility for subcutaneous implantable cardioverter defibrillator. - Jason Thomas; Erick Andres Perez-Alday; Christopher Hamilton; Muammar M. Kabir; Eugene A. Park; Larisa G. Tereshchenko (Comput. Biol. Medicine, 2018)

Importance of the heart vector origin point definition for an ECG analysis: The Atherosclerosis Risk in Communities (ARIC) study. - Erick Andres Perez-Alday; Yin Li-Pershing; Aron Bender; Christopher Hamilton; Jason Thomas; Kyle Johnson; Tiffany L. Lee; Ryan Gonzales; Aaron Li; Kelley Newton; Larisa G. Tereshchenko (Comput. Biol. Medicine, 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)

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)

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)

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)

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)

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)

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)

Quantifying Posttraumatic Stress Disorder Symptoms During Traumatic Memories Using Interpretable Markers of Respiratory Variability. - Asim Hossain Gazi; Jesus Antonio Sanchez-Perez; Georgia L. Saks; Erick Andres Perez-Alday; Ammer Haffar; Hashir Ahmed; Duaa Herraka; Nitya Tarlapally; Nicholas L. Smith; J. Douglas Bremner; Amit J. Shah; Omer T. Inan; et al. (IEEE J. Biomed. Health Informatics, 2024)