Rogers Lab
Advancing heart rhythm care through bioengineering and AI.
We investigate how cardiac arrhythmias begin and persist — from atrial fibrillation to sudden cardiac death — and translate those insights into signal-analysis methods, machine-learning models, and devices, with the goal of improving diagnosis, risk prediction, and treatment.
Connected research themes
From the mechanisms of atrial fibrillation and sudden cardiac death to machine learning on cardiac signals — each theme links to the tools and publications behind it.
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Digital Frame Reference (DFR) Calipers
Measure intervals on ECGs, images, text, and multi-page PDFs — in pixels, with conversion to ms and bpm. Standard, rhythm, and reference calipers, all running entirely in your browser.
Work with the Rogers Lab
We welcome trainees, students, and research partners who want to advance cardiac electrophysiology through engineering and AI.