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ecg-rhythm-classifier

The premium Open Source alternative to Google Vertex AI Edge

🎯 Best for:Developers integrating arrhythmia detection into low-power edge devices.
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What is ecg-rhythm-classifier?

A 1D-CNN model optimized for edge deployment on Cortex-M4 microcontrollers. Quantized to under 100KB using TensorFlow Lite for real-time on-device arrhythmia inference.

Tech Stack
Jupyter NotebookAI, ML & Data

Why ecg-rhythm-classifier?

  • • Ultra-low memory footprint
  • • High accuracy for edge
  • • No internet required

Limitations

  • • Requires pre-processed signals
  • • Limited classification categories
  • • Complex deployment pipeline
3/16/2026
Last Update
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Forks
0
Issues
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License
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Competitor Cost
-$1,440
/ year (est. based on Google Vertex AI Edge)
Self-Hosted
$0
/ year
Team Size10 Users
150+
Launch Detailed Calculator
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