Text Generation
LiteRT
LiteRT
English
android-wear
wearos
cardiac-disease
medgemma
mobile-ai
ios-coreml
android-litert
conformer
micro-model
multimodal
cardiology
biosignal
ppg
Instructions to use litert-community/Cardiac_micro_model_Android_Wear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/Cardiac_micro_model_Android_Wear with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
-
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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Permanently ingest 1500 cardiac QA dataset into model weights, update disclaimer, add greeting intelligence, and recreate safetensors checkpoint
5b4bf2d