A new deep learning method with self-supervised learning for delineation of the electrocardiogram

HIGHLIGHTS

• who: Wenwen Wu and collaborators from the Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, China have published the Article: A New Deep Learning Method with Self-Supervised Learning for Delineation of the Electrocardiogram, in the Journal: Entropy 2022, 24, 1828. of /2022/
• what: In this manuscript the authors propose a self-supervised deep learning framework with modified Densenet to detect ECG characteristic points including the onset peak and termination points of P-wave QRS complex wave and T-wave. The model parameters saved in the first stage were used . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.