End-to-end convolutional neural network model to detect and localize myocardial infarction using 12-lead ecg images without preprocessing

HIGHLIGHTS

• who: Ryunosuke Uchiyama and collaborators from the Division of Information and Electronic Engineering, Muroran Institute of Technology, Mizumoto-cho, Muroran, Hokkaido, Japan have published the research work: End-to-End Convolutional Neural Network Model to Detect and Localize Myocardial Infarction Using 12-Lead ECG Images without Preprocessing, in the Journal: Bioengineering 2022, 9, 430. of /2022/
• what: The authors propose an convolutional neural network model that detects and localizes MI without such complicated multistep preprocessing. This study was motivated by the work of Jun et_al ; however, in the model proposed by Jun et_al, the training . . .
  

   

  

  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.