ECG+ | Your Watch ECG Reader

We’ve fixed the recent OpenAI API key issue — the feature is now back up and working smoothly. Please note: ECG+ is not a diagnostic tool. All information provided is for general informational purposes only and is not a substitute for medical advice, diagnosis, or treatment. Always consult a doctor before making any health-related decisions.

ECG+ now features a new dark mode icon. GPT can explain your overall recording statistics and HRV changes over time now. We’ve fixed and cleaned up the messy preview strip that confused many users. We’ve fixed a potential crash issue on iPad and improved overall algorithm performance.

GPT now explains PAC/PVC burdens and your overall recording statistics, highlighting changes over time. Improved algorithm delivers more accurate P-wave identification. ECG+ also features a new dark mode icon. Please note, ECG+ is designed for educational use only and is not a diagnostic tool.

GPT now explains PAC/PVC burdens and your overall recording statistics, highlighting changes over time. Improved algorithm delivers more accurate P-wave identification. ECG+ also features a new dark mode icon. Please note, ECG+ is designed for educational use only and is not a diagnostic tool.

Improved insights across pages Explanations are now available in more areas of the app, helping you better understand your ECG data, heart rhythm findings, and health trends. Stability and performance improvements Multiple UI fixes and optimizations for a smoother experience.

Added time-based grouping on the timeline, including sections such as “Today”, “Last Week”, for better timeline organization. Improved stability and resolved a rare crash related to concurrent Firebase access.

Filter your ECG recordings by time range (All Time / Last 1 Year / Last 30 Days / Custom). Daily Streak encourages consistent recording, improving the accuracy of trends and insights. Time Map reveals when specific types of ECG recordings occur most frequently.

Thanks to everyone who shared feedback for version 1.14 and 1.14.1. Here’s what’s new: • Filter your ECG recordings by time range, including All Time, Last Year, Last 30 Days, or a custom range. • Daily Streak helps you stay consistent with recordings, supporting more meaningful trends and insights over time. • Time Map highlights when specific types of recordings occur most often throughout the day. • New visual markers for premature beat patterns, including Couplet, Triplet, Bigeminy, and Trigeminy, designed to make patterns easier to recognize. • Directly share your PDF report on the recording strip page • Copyright Notice update covers original ECG+ features developed over the past 5 years, including: ‣ Thumbnail preview window for quick locating beats on recordings ‣ Waveform annotations and markers highlight heart beat with R (normal), V (PVC) and A (PAC) letters ‣ RR and heart rate indicators between beats ‣ Pattern markers with linked visual connections for premature beats (Couplet, Triplet, Bigeminy, and Trigeminy) ‣ Heartbeat Signature with a structured PQRST visualisation The design, visual presentation, and features of ECG+ are original and protected by copyright. We reserve all rights and may take action against unauthorized copying or imitation, through applicable processes, including Apple's official channels according to Apple Design Guideline 4.1 - Copycats

Version 1.14+: • A much better way to process large libraries (5,000+ recordings), and yes some users do have MANY recordings • Filter your ECG recordings by time range, including All Time, Last Year, Last 30 Days, or a custom range. • Daily Streak helps you stay consistent with recordings, supporting more meaningful trends and insights over time. • Time Map highlights when specific types of recordings occur most often throughout the day. • New visual markers for premature beat patterns, including Couplet, Triplet, Bigeminy, and Trigeminy, designed to make patterns easier to recognize. • Directly share your PDF report on the recording strip page • Copyright Notice update covers original ECG+ features developed over the past 5 years, including: ‣ Thumbnail preview window for quick locating beats on recordings ‣ Waveform annotations and markers highlight heart beat with R (normal), V (PVC) and A (PAC) letters ‣ RR and heart rate indicators between beats ‣ Pattern markers with linked visual connections for premature beats (Couplet, Triplet, Bigeminy, and Trigeminy) ‣ Heartbeat Signature with a structured PQRST visualisation The design, visual presentation, and features of ECG+ are original and protected by copyright. We reserve all rights and may take action against unauthorized copying or imitation, through applicable processes, including Apple's official channels according to Apple Design Guideline 4.1 - Copycats

• 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.

This update focuses on two key areas of accuracy improvement: • Respiratory baseline drift and EMG noise from finger contact are common in Apple Watch ECG recordings. Algorithm v1.5 improves how ECG+ handles these signal issues, helping produce cleaner and more stable heartbeat identification. • More precise heartbeat positioning helps produce more accurate RR intervals, which can also improve the reliability of HRV calculations. Please note that all possible findings, including patterns (Couplet, Bigeminy and Quadrigeminy) in ECG+ are for informational and educational purposes only. They are not medical diagnoses, do not replace advice from a qualified healthcare professional, and should not be used for diagnosis, treatment, or medical decision-making.

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.

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.

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.

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.

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.

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.

The latest version of ECG+ includes a new Heartbeat Navigator, designed to help users quickly locate abnormal heartbeats, such as PACs or PVCs, for more efficient analysis. This powerful tool enhances the user experience, making heart monitoring more intuitive and effective. Additionally, the app now offers advanced detection for T wave abnormalities. Capable of identifying both flattened and inverted T waves, ECG+ provides essential insights into possible heart conditions, supporting early detection and proactive health management. This upgrade allows users to monitor their heart health with increased precision and confidence.

ECG+ interprets your Apple Watch ECGs to detect more potential arrhythmias and abnormalities. ◆ Atrial Fibrillation Detection: Identifies the most common arrhythmia that often requires medical attention. ◆ PAC/PVC Identification: Recognizes common but typically benign heart conditions. ◆ Prolonged QT Interval Alerts: Highlights prolonged QT intervals, indicating potential delays in heart recharging. ◆ T Wave Changes: Detects inverted or flattened T waves, which may suggest underlying health issues. ◆ HRV Monitoring: Tracks Heart Rate Variability (HRV), a key indicator of overall wellbeing.

In Version 1.9.6, we’re thrilled to roll out the Export Your ECGs feature! Now, you can export your ECG data to a CSV file, which includes detailed measurements for each reading—such as PR, QRS, QT, and RR intervals—along with five QTc calculation options: Bazett, Fridericia, Framingham, Hodges, and Rautaharju. This range of QTc formulas allows you to choose the method that best aligns with your needs or healthcare recommendations. The CSV format is designed to make it easy for you to track trends, perform your own analysis, or share data with healthcare providers, helping you take an active role in monitoring and understanding your heart health.

This update includes a critical correction to QTc over-estimation caused by T wave elevation. Unlike traditional approaches that rely on the isoelectric line, the tangent method identifies the true T wave baseline, reflecting your heart’s real repolarization. This improved algorithm now ensures more accurate QTc calculations, enhancing the reliability of ECG analysis. A huge Thank You to everyone who shared their ECG data to help us make these improvements! Your support drives us forward.