A deep learning model for stroke patients ’ motor function prediction

HIGHLIGHTS

• who: Function Prediction et al. from the Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, POBox, Riyadh, Saudi Arabia have published the paper: A Deep Learning Model for Stroke Patients ’ Motor Function Prediction, in the Journal: Applied Bionics and Biomechanics of 13/06/2022
• what: This research proposed a model parameter tuning with less training time using transfer learning techniques. In this article, the research was to determine if the proposed EEG-DenseNet model that incorporated fine parameter tuning with deep learning can be efficiently utilized for smallsized . . .
  

   

  

  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.