Metadata-Version: 2.4
Name: ynet-cuffless-bp
Version: 0.1.2
Summary: Y-NET: Cuffless ABP from ECG & PPG with BPV & ASI markers
Home-page: https://github.com/thisismcgovern/FYP
Author: McGovern Twumasi Owusu-Bekoe, Emefa A. Apedo
Author-email: mcgovernowusubekoe@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.19.0
Requires-Dist: onnxruntime>=1.10.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
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# Y-NET: Cuffless Blood Pressure Estimation

Deep learning model for ABP reconstruction from ECG & PPG with clinical markers (BPV, ASI).

## Install

```bash
pip install ynet-cuffless-bp
```

## Use

```python
from ynet_abp import YNETInference, compute_bpv, compute_asi
```

## Citation

Owusu-Bekoe, M. T., Apedo, E. A. (2026). Y-NET: Cuffless ABP from ECG & PPG. https://github.com/thisismcgovern/FYP

## License

MIT
