Rhythm Reader: educational rhythm strip review, on your iPhone.
Point your iPhone at a telemetry monitor or printed strip. RN PocketPal returns a probable rhythm, a confidence score, and full interval measurements — so you can verify with calipers in seconds.
Reading a rhythm strip mid-shift means juggling three things at once: the strip itself, the patient at the bedside, and your own confidence in what you’re seeing. New grads doubt their reads. Tenured nurses double-check by reflex. Either way, you reach for calipers, then for someone else’s eyes.
Rhythm Reader is the second set of eyes — for practice, for verification, for the moment you want to know if your read matches what an educational reference would say.
What RN PocketPal does
- Photo-based capture of telemetry monitors and printed strips, with on-device perspective correction and gridline detection.
- Returns a probable rhythm, a numeric confidence score, and the top three alternates with their probabilities — so you always see “what this could also be.”
- Full interval measurements: PR, QRS, QT, QTc. Verify with calipers.
- Refuses to guess on low-quality captures: under ~70% confidence, you get “rhythm uncertain — please verify with calipers” instead of a misleading read.
- Runs on-device (Core ML / iPhone Neural Engine). Strips never leave your phone unless you explicitly contribute to the educational corpus.
Who it’s for
Rhythm Reader is built for telemetry, step-down, ICU, and ED nurses who read strips on shift, and for nursing students learning to identify common rhythms. It’s educational decision-support — your clinical judgment and calipers stay in charge.
(Screenshots will land here once the iOS build ships. Until then, see the static mockups in RNPocketPal_iOS_Mockups.html.)
Frequently asked questions
- Is Rhythm Reader a diagnostic tool?
- No. Rhythm Reader is educational decision-support only. It is not a medical device, it does not diagnose, and it does not replace clinical judgment, prescriber orders, or calipers. Always verify findings independently before acting on them at the bedside.
- Where does the photo go after I take it?
- Inference runs on-device using Core ML on the iPhone Neural Engine. The strip image stays on your phone unless you explicitly opt in to contribute to RN PocketPal’s educational corpus, in which case it is stripped of metadata and de-identified before transmission.
- What does the confidence score mean?
- It’s a calibrated probability that the top-line rhythm is correct, not a raw model output. We use temperature scaling so a 92% confidence means roughly what you’d expect. Below ~70%, Rhythm Reader returns “rhythm uncertain” rather than a guess.
- Will it work on a 12-lead?
- V1 is built around single-lead rhythm strips and telemetry monitor captures. 12-lead walkthroughs (axis, ischemia patterns, STEMI mimics) are on the roadmap for v1.5.
- Does it work offline?
- Yes. Inference runs entirely on-device, so Rhythm Reader works in basement procedure rooms and on hospital Wi-Fi that drops every five minutes.
- How is this different from an Apple Watch ECG?
- Apple’s ECG app captures a single-lead strip from the watch and is FDA-cleared for the wearer. Rhythm Reader is for nurses reading strips at the bedside — a separate workflow, framed as educational reference, not diagnosis.
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Reviewed by RN PocketPal Clinical Team, RN. Last reviewed .