Beat Morphology

h10s uses advanced signal processing to analyze not just the timing of your heartbeats, but also their shape (morphology).

What is Morphology Clustering?

Your heartbeats typically follow a consistent electrical pattern. However, variations can occur due to changes in conduction, ectopic beats (like PVCs), or artifacts.

The Cluster Morphology feature automatically groups your heartbeats based on their visual similarity. Instead of reviewing thousands of individual beats, you can see the "average shape" of the most frequent beat types.

How It Works

1. Detection: The app detects every heartbeat in the live ECG stream.
2. Analysis: It extracts a 1000ms window of the ECG signal centered on each beat.
3. Clustering: A machine learning algorithm (K-Means) sorts these beats into groups (clusters) that look alike.
4. Visualization: The app displays the centroid (average shape) of the top clusters, allowing you to quickly spot if a secondary, abnormal beat shape is frequent.

Settings

You can adjust the sensitivity of this feature in the Settings menu under "Morphology Sensitivity":

• Low: Groups beats more loosely. Useful if minor variations are splitting your normal beats into multiple clusters.
• Medium: The default balance.
• High: Strictly separates beats. Useful for distinguishing very subtle differences between beat shapes.