Olgin, Jeffrey E.

Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch

Tison, G. H., Sanchez, J. M., Ballinger, B., Singh, A., Olgin, J. E., Pletcher, M. J., Vittinghoff, E., Lee, E. S., Fan, S. M., Gladstone, R. A., et al. (2018) · JAMA Cardiology

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Effects of Time-Restricted Eating on Weight Loss and Other Metabolic Parameters in Women and Men With Overweight and Obesity: The TREAT Randomized Clinical Trial

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Dietary Effects on HealthDiet and metabolism studies

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Role of Right Atrial Endocardial Structures as Barriers to Conduction During Human Type I Atrial Flutter: Activation and Entrainment Mapping Guided by Intracardiac Echocardiography

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Direct Measurements of Smartphone Screen-Time: Relationships with Demographics and Sleep

Christensen, M. A., Bettencourt, L., Kaye, L., Moturu, S. T., Nguyen, K. T., Olgin, J. E., Pletcher, M. J., & Marcus, G. M. (2016) · PLOS ONE

Sleep and related disordersImpact of Technology on Adolescents

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Radiofrequency catheter modification of the sinus node for “inappropriate” sinus tachycardia

Lee, R. J., Kalman, J. M., Fitzpatrick, A. P., Epstein, L. M., Fisher, W. G., Olgin, J. E., Lesh, M. D., & Scheinman, M. M. (1995) · Circulation

Cardiac Arrhythmias and TreatmentsCardiac pacing and defibrillation studies

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DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction

Ballinger, B., Hsieh, J., Singh, A., Sohoni, N., Wang, J., Tison, G., Marcus, G., Sanchez, J., Maguire, C., Olgin, J., et al. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Artificial Intelligence in HealthcareNon-Invasive Vital Sign Monitoring

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Volunteer Participation in the Health eHeart Study: A Comparison with the US Population

Guo, X., Vittinghoff, E., Olgin, J. E., Marcus, G. M., & Pletcher, M. J. (2017) · Scientific Reports

Survey Methodology and NonresponseEthics in Clinical Research

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Alcohol intake is significantly associated with atrial flutter in patients under 60 years of age and a shorter right atrial effective refractory period

MARCUS, G. M., SMITH, L. M., WHITEMAN, D., TSENG, Z. H., BADHWAR, N., LEE, B. K., LEE, R. J., SCHEINMAN, M. M., & OLGIN, J. E. (2008) · Pacing and Clinical Electrophysiology

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Electrocardiogram Detection of Pulmonary Hypertension Using Deep Learning

ARAS, M. A., ABREAU, S., MILLS, H., RADHAKRISHNAN, L., KLEIN, L., MANTRI, N., RUBIN, B., BARRIOS, J., CHEHOUD, C., KOGAN, E., et al. (2023) · Journal of Cardiac Failure

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Assessment of disease status and treatment response with artificial Intelligence- Enhanced electrocardiography in obstructive hypertrophic cardiomyopathy

Tison, G. H., Siontis, K. C., Abreau, S., Attia, Z., Agarwal, P., Balasubramanyam, A., Li, Y., Sehnert, A. J., Edelberg, J. M., Friedman, P. A., et al. (2022) · Journal of the American College of Cardiology

Cardiomyopathy and Myosin StudiesECG Monitoring and Analysis

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Abstract 21042: Cardiovascular Risk Stratification Using Off-the-Shelf Wearables and a Multi-Task Deep Learning Algorithm

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