# 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 weights
* `model_best.pth`: finetuned model for downstream diagnosis

## Code

Source code is available at:
https://github.com/EZAIJ/PiLA-PPG

## 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

https://arxiv.org/abs/2602.04266