ECG+ | Your Watch ECG Reader

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.