Convolutional neural network-based respiration analysis of electrical activities of the diaphragm

HIGHLIGHTS

• who: Hyun-Gyu Lee from the DepartmentInha University have published the article: Convolutional neural network-based respiration analysis of electrical activities of the diaphragm, in the Journal: Scientific Reports Scientific Reports
• what: The authors aimed to precisely detect peaks in the Edi signal using signal processing and a convolutional neural_network (CNN) to analyze the actual neural breathing of premature infants. In this study, as many candidate Edi peaks as possible were identified, including pseudo-peaks. The model trained at 11 epochs was used for testing in the case of Fig 4.
• how: The . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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