Researchtinymledge impulsearduino uno qecg
Fusion Sense Integrates Environmental Data With Health
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7.2
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.
Scoring Rationale
Notable technical integration and actionable Edge ML implementation, limited by project-level validation and lack of peer-reviewed results.
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