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Pragmatic and Observational Research|December 25, 2024
Validation and Final Results from the First Cardiac Lead Post-Approval Study Using Real-World DataSteven Mullane, Jacob B Hicks, Kazi Sharmin, et al.
Heart Rhythm O2|June 11, 2021
Utilization and programming of an automatic MRI recognition feature for cardiac rhythm management devicesSteven Mullane, Kyle Michaelis, Charles Henrikson, et al.
Annals of Biomedical Engineering|April 18, 2014
A novel spatiotemporal analysis of peri-ictal spiking to probe the relation of spikes and seizures in epilepsyBalu Krishnan, Ioannis Vlachos, Aaron Faith, et al.
Heart Rhythm|January 9, 2026
Frailty and Risk of Death Without Device Therapy Among Patients with Primary Prophylaxis Implantable Cardioverter-Defibrillators: The CERTITUDE RegistryAllen Wang, Parag Goyal, Camden Harrell, et al.
Journal of Behavioral Medicine|July 1, 2026
From sensation to action: expectation, appraisal, and decision-making in patient-triggered cardiac monitoringMaeve M Sargeant, Michael Li, Camden Harrell, et al.
Heart Rhythm|March 19, 2025
Association of air pollution with ventricular arrhythmias and physical activity: A natural experiment from US wildfiresKrishna Pundi, Valentina Kutyifa, Jagmeet P Singh, et al.
Heart Rhythm O2|December 9, 2024
Temporal changes in device-derived daily activity related to ventricular arrhythmias from the CERTITUDE registryValentina Kutyifa, Michael Christof, Steven Mullane, et al.
Journal of Cardiovascular Electrophysiology|September 8, 2025
Leveraging Implantable Cardiac Defibrillator Remote Transmissions to Predict the Occurrence of Atrial FibrillationMichael Scheid, Kristie M Coleman, Steven Mullane, et al.
Journal of Interventional Cardiac Electrophysiology : an International Journal of Arrhythmias and Pacing|March 25, 2022
Evaluation of cardiovascular implantable electronic device leads post implant: ElectroPhysiology Predictable And SuStainable Implementation Of National Registries (EP PASSION)Sanket S Dhruva, Emily P Zeitler, Daniel Caños, et al.
Heart Rhythm|May 26, 2024
Machine learning for prediction of ventricular arrhythmia episodes from intracardiac electrograms of automatic implantable cardioverter-defibrillatorsYong-Mei Cha, Itzhak Zachi Attia, Coby Metzger, et al.
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