Skip to content

Shurun-Wang/DBSCF

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

17 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DBSCF

Visitors This is the official source code repository of "A robust denoising diffusion framework for completing missing regions of multiple biomedical signals".

Dataset

  • ECG/EMG/EEG data have been already processed in

    Dataset/ECG/processed_data/

    Dataset/EMG/processed_data/

    Dataset/EEG/processed_data/

How to run this project

This project contains signal completion and downstream tasks validation:

Step 1: Completing the signals through the proposed methods

python main_signal.py

  • Train/test the model by modifying the 'state'

Step 2: Checking the classification results after completion

python main_classifier.py

  • Train/test the model by modifying the 'state'

If our work is helpful to you, please Star it and kindly Cite our paper as:

@article{wang2026robust,
  title={A robust denoising diffusion framework for completing missing regions of multiple biomedical signals},
  author={Wang, Shurun and Tang, Hao and Himeno, Ryutaro and Sol{\'e}-Casals, Jordi and Caiafa, Cesar F and Aoki, Shigeki and Sun, Zhe},
  journal={Biomedical Signal Processing and Control},
  volume={113},
  pages={108788},
  year={2026},
  publisher={Elsevier}}

About

Biomedical signal (EEG/sEMG/ECG) completion/imputation using diffusion model. "A robust denoising diffusion framework for completing missing regions of multiple biomedical signals"

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages