From Performance to Production: Finalizing Lead Strategy and System Integration
This week marked a transition from experimentation to refinement. After weeks of tuning, testing, and validating, we are now converging toward final design decisions—solidifying lead selection, strengthening reproducibility, and unifying the entire system into a single deployable prototype.
Rather than asking “Can it work?”, we are now asking “Can it work consistently, cleanly, and in production?”
Key Accomplishments This Week
Finalized Lead Selection Through Benchmarking
We completed a detailed comparison between Lead I and Lead II for single-lead classification. Results showed that Lead II improves AUROC for infarction detection, helping close the previous performance gap. This marks an important architectural decision for final deployment.
Integrated Reproducibility Protocols
To ensure scientific rigor, we implemented fixed random seeds across training runs. Our model now consistently achieves 98–99% accuracy across repeated experiments, strengthening confidence in stability and repeatability.
Built a Unified End-to-End Prototype
We developed a fully integrated interface that visualizes raw ECG signals, overlays PQRST fiducial points, and displays saliency maps in one application. This transforms our system from separate scripts into a cohesive diagnostic tool.
Refined Training and Learning Rate Strategy
We experimented with higher learning rates (0.005) versus lower rates. While higher rates accelerated training, lower rates produced smoother convergence and better validation stability—guiding our final optimization strategy.
Next Steps: Precision and Deployment Readiness
In the coming week, we will:
- Close the T-Wave Gap: Improve T-wave detection accuracy, our current weakest fiducial component.
- Implement Advanced Physiological Post-Processing: Eliminate impossible outputs (e.g., duplicate T-waves or unrealistic proximities).
- Draft Dual Documentation Tracks: One research-oriented manuscript and one technical report aligned with future FDA pathways.
- Begin Cloud Deployment Research: Explore Azure hosting to mirror sponsor infrastructure.
- Validate Against Sponsor Data: Cross-check Lead II outputs with real-world patient samples.
We are no longer just optimizing models—we are shaping a clinically aligned, reproducible, deployment-ready ECG AI system.
See you next week!