PiLA: PPG-based Cardiac Disease Diagnosis Model
Overview
This repository provides pretrained and finetuned model weights for PiLA, a deep learning framework for cardiac disease diagnosis from photoplethysmography (PPG) signals.
The model supports multimodal physiological inputs, including:
- PPG
- VPG (velocity PPG)
- APG (acceleration PPG)
Files
pretrain_model.pth: self-supervised pretrained weightsmodel_best.pth: finetuned model for downstream diagnosis
Code
Data
Due to privacy and ethical constraints, the dataset is not publicly available.
Notes
- The released weights do not contain any identifiable or participant-level data.
- This model is provided for research use only.
Paper
