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About ECGRef

ECG interpretation, organized for the bedside. ECGRef is a comprehensive electrocardiogram reference for physicians, nurses, advanced practice clinicians, medical students, and other healthcare learners. Use a structured interpretation workflow, review rhythm patterns, explore ECG leads, check diagnostic criteria, and perform commonly used ECG calculations all in one focused reference. FEATURES • Step-by-step ECG interpretation workflow • Rhythm recognition and clinically relevant pattern review • Interactive frontal-plane and precordial lead explorer • Searchable library of ECG terminology and concepts • ECG calculators for heart rate, QTc, cardiac axis, ventricular hypertrophy, bundle branch block, wide-complex tachycardia, and more • Clinical risk tools • Bedside takeaways, common pitfalls, and “do not miss” findings • Favorites, global search, related content, and personal notes ECGRef connects core electrophysiology with practical ECG analysis. Whether you are learning a systematic approach, reviewing an unfamiliar rhythm, or checking a calculation, the app makes relevant information easy to find. Created by Rishi Kumar, MD, FACC (“RK.MD”), an academic adult cardiothoracic anesthesiologist and cardiovascular ICU intensivist committed to free, open-access medical education. Learn more at https://rk.md ECGRef is intended for educational and informational purposes only. It does not provide medical advice and is not a substitute for professional judgment, diagnosis, or treatment. Clinical findings and calculations must be independently verified and interpreted in the context of the individual patient. Seek guidance from a qualified healthcare professional regarding any medical condition. Do not disregard or delay professional medical advice because of information provided by this app.

Ratings & reviews

4.9

31 ratings

5 ★ 97% 4 ★ 0% 3 ★ 3% 2 ★ 0% 1 ★ 0%

What’s new

Version 1.8 · Updated October 13, 2026

Added: Lead Explorer and ECG Interpret tab Updated: Revised medical calculators for guideline accuracy, corrected formulas, and input limits

App privacy

The developer, Rishi Kumar, reported these privacy practices to Apple.

Data Not Linked to You

The following data, which may be collected but is not linked to your identity, may be used for the following purposes:

  • Usage Data: Product Interaction

Used for: Analytics

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