Commit History
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feat(wearos): add Samsung Galaxy Watch 4 streaming support, 14 bug fixes, and clinical benchmarks
- Add WearOSPPGAdapter with fast DC baseline stripping, 100 Hz -> 25 Hz anti-aliased FIR decimation, multi-parameter SQI, and rolling 90s ring buffer - Implement Wear OS test bench simulator and production Android Kotlin companion streaming architecture - Resolve 14 critical codebase bugs across threading, numerical stability, macOS APFS locks, and low-parameter generation - Enhance on-device Clinical RAG engine with condition-specific intent boosting (+30/-10) - Update 75-waveform biosignal benchmark (100% accuracy) and multi-domain clinical reasoning evaluation - Update full documentation in DOCUMENTATION.md and README.mdefc501a
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fix(chat): resolve Q&A completion trigger, enhance RAG grounding, and add benchmark audit suite
- Fix RAG completion mimicry by reformatting retrieved guidelines from Q&A to neutral grounding blocks - Disentangle sensor telemetry directives from general lifestyle and medication inquiries - Eliminate chat history duplication and strip disclaimer repetition in conversational memory - Add fail-safe fallback to prevent empty disclaimer-only responses - Prioritize foundational ACC/AHA nutritional and pharmacotherapy guidelines - Add comprehensive benchmark accuracy test suite and update project documentation6198e11
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Update model card and documentation for litert-community release
61253d4 -
Permanently ingest 1500 cardiac QA dataset into model weights, update disclaimer, add greeting intelligence, and recreate safetensors checkpoint
5b4bf2d -
feat: upgrade to sub-512MB mobile architecture for iOS (Core ML) and Android (LiteRT)
- Upgrade deployment target to iOS and Android mobile devices (>= 8GB RAM) under strict < 512MB ceiling - Implement 1D-Conformer Biosignal Encoder (Depthwise Separable Conv + Multi-Head Self-Attention) - Implement Temporal Cross-Attention Projector Bridge (K=8 query tokens, d=896) - Add zero-cloud On-Device Clinical RAG engine (< 25MB) with ACC/AHA and ESC guideline retrieval - Distillation pipeline for MedGemma-to-Qwen2.5-0.5B with 4-bit block-wise quantization - Add Apple Core ML (ANE/Metal) and Android LiteRT (Qualcomm Hexagon/GGUF) mobile export pipelines - Overhaul README.md, DOCUMENTATION.md, Colab notebook, and interactive dashboard - Pass all 7/7 architecture/budget tests and 8/8 API/safety waiver tests201095b -
Fix formatting for new_version in README.md
Unverified signature9b33b4c -
Add Hugging Face model card YAML frontmatter
4ea2815 -
Initial commit: MedGemma-Micro multimodal cardiology edge model with lifestyle management & legal waiver guard
dafcd87