Classification of tetanus severity in intensive-care settings for low-income countries using wearable sensing

HIGHLIGHTS

  • who: Ping Lu and colleagues from the Department of Engineering Science, University of Oxford, Oxford , PJ, UK have published the article: Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing, in the Journal: Sensors 2022, 22, 6554. of 25/07/2022
  • what: The authors propose a two-dimensional (2D) convolutional neural network with a channel-wise attention mechanism for the binary classification of ECG signals. To improve the clinical outcomes and disease incidence of tetanus, the authors aim to develop a severity warning tool. The authors design scientific steps . . .

     

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?