Fusion Sense Integrates Environmental Data With Health

Fusion Sense is a project that builds a context-aware health monitor using three Arduino UNO Q edge nodes, integrating ECG, SpO₂, PPG and environmental sensors. It trains TinyML models with Edge Impulse on MIT-BIH (109,446 samples) and PTB (14,552 samples), uses GANs to balance classes, and deploys optimized classifiers for millisecond, on-device inference. The system targets real-time, privacy-preserving health monitoring at the edge.