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EKG+ | Dein Watch-EKG-Leser — version history

7 versions tracked · earliest snapshot 2026-05-13 · current v1.17.1

Summary

Current version
v1.17.1
Released 2026-07-30
Versions tracked
7
since 2026-05-13
Current rating
4.43★
2,122 ratings
Current size
51 MB
+2 MB since v1.15

Release timeline

2026-07-30 live for 8 days

v1.17.1Current

51 MB (+1 MB) · 4.46★ · 2,379 ratings
More accurate and honest measurements An upgraded measurement engine (v1.18) reads waves more faithfully. When a wave cannot be reliably identified, for example a P wave with very low amplitude, instead of throwing a bunch of numbers around, ECG+ now marks the area it searched and explains why it's not a good idea to measure an unclear wave. This is often seen on recordings with lots of artifacts (noise) caused by poor contact. Search your recordings Find any recording in seconds. Search by symptoms, triggers, notes, or findings.
2026-07-14 was live for 12 days

v1.17

50 MB (+1 MB) · 4.46★ · 2,340 ratings
A cardiologist reading an ECG report always wants more context: what symptoms you felt when the recording was taken, and what might have led up to it, such as a big meal, alcohol, coffee, anxiety, or poor sleep. In version 1.17 we expanded the symptoms section into a full Journal, where you can capture these details for your doctor to consider. Journal makes ECG+ smart interpretation genuinely useful. When you ask about a recording, ECG+ reads your symptoms and triggers alongside the waveform data and addresses them directly: whether the flutter you felt lines up with what the trace shows, or whether last night's poor sleep could explain the extra beats. And across your whole history, Journal reveals patterns and triggers, like premature beats that cluster after coffee, or calmer readings in weeks you slept well. The more you record, the more ECG+ can connect, and easier it finds those triggers behind the episodes. Apple Watch ECG produces relatively low P wave amplitude, and 1.17 introduced a new specific algorithm in finding where P waves start and end, by zooming in really deep into the waveform. This significantly reduces overestimation.
2026-07-09 was live for 6 days

v1.16.2

50 MB (-0 MB) · 4.45★ · 2,306 ratings
Some Apple Watch ECG readings come through with very low amplitude. These are often perfectly normal, but a small waveform can be hard to read clearly. Version 1.16.2 introduces Magnifier, so you and your doctor can see the finer detail. A trend often tells you more than any single reading, whether that's HRV or arrhythmia burden. We've redesigned trends in 1.16.2 to make important changes over time stand out, while still letting you jump straight to individual readings. Managing your subscription is easier too. A new Subscription option in Settings lets you upgrade or change your Premium plan in a couple of taps.
2026-06-25 was live for 12 days

v1.16.1

50 MB (+0 MB) · 4.45★ · 2,281 ratings
Your heart felt off. You went to capture it. But Apple Watch just said "Poor Recording." Again and again. Usually the cause is simple: even the smallest movement can blur the trace. So 1.16.x introduces "Breathe, then record", a few guided breaths to help you settle and hold still, so the recording comes out clean when it matters most. Clean signal in, clearer findings out. The cleaner the recording, the more accurate the report your doctor receives. Many of you use ECG+ to watch one thing in particular: PACs or AFib. Now burden trends show how often they appear over time. Holding steady can bring peace of mind. Trending upward is your cue to take a closer look with your doctor. And there's groundwork you won't see: 1.16.x is rebuilt on the latest Apple technologies, so ECG+ is ready for what's coming next.
2026-06-19 was live for 8 days

v1.16

50 MB (+0 MB) · 4.44★ · 2,247 ratings
Your heart felt off. You went to capture it. But Apple Watch just said, “Poor Recording.” You tried again, held your breath, kept your finger steady, yet again: “Poor Recording.” Most of the time, the cause is simple. Even the smallest movement can blur the trace. So version 1.16 introduces “Breathe, then record.” A few guided breaths to help you settle and hold still, so the next recording comes out clean, right when it matters most. Analysis is only as good as the recording behind it. Clean signal in, clearer findings out. The cleaner the recording, the more accurate the report your doctor receives to help guide their decisions. Many of you use ECG+ to keep an eye on one thing in particular: PACs or AFib. Version 1.16 makes that easier with burden trends, showing how often they appear over time. Holding steady or easing off can bring peace of mind. Trending upward is your cue to take a closer look and discuss it with your doctor. And there’s groundwork you won’t see. Version 1.16 has been rebuilt on a modern foundation using the latest Apple technologies, so ECG+ is ready for what’s coming next.
2026-05-28 was live for 26 days

v1.15.2

49 MB (+0 MB) · 4.44★ · 2,228 ratings
Apple Watch labels a recording as Atrial Fibrillation when it detects an irregularly irregular rhythm with no visible P waves. ECG+ goes one step further to quantify how irregular each AFib recording is and plots it as a trend over time, placing every recording on the full spectrum from mildly to highly irregular. It's a richer picture than a label alone can give. Trends are only as good as the data behind them. A new optional Streak Reminder in Settings notifies you each day you haven't recorded yet, helping you build the consistent habit that makes HRV, QTc, and heart rate trends genuinely meaningful.
2026-05-12 was live for 16 days

v1.15

49 MB · 4.43★ · 2,122 ratings
• ECG+ now detects and marks Quadrigeminy, one of the 5 Beat Repeat Patterns that ECG+ checks. • Quadrigeminy is a repeating pattern where every fourth beat is premature. While not common, it does occur, and when it does, the newly introduced Link Line design on the ECG strip makes it super easy to spot. • Algorithm v1.5 brings significant improvements to ECG analysis accuracy, with better recognition of rhythm patterns, reduced false positives, and more reliable detection of events across all recordings. A special thank you to the users who shared their reports, feedback, and ideas. Your support helped make this improvement possible.

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Version data captured during periodic snapshots — see release notes on the EKG+ | Dein Watch-EKG-Leser profile for full app context.
Source: App Store / Google Play public metadata.