Pain detection in biophysiological signals: knowledge transfer from short-term to long-term stimuli based on distance-specific segment selection

HIGHLIGHTS

• who: Tobias B. Ricken et al. from the Institute of Neural Information Processing, Ulm University, James-Franck-Ring, Ulm, Germany have published the paper: Pain Detection in Biophysiological Signals: Knowledge Transfer from Short-Term to Long-Term Stimuli Based on Distance-Specific Segment Selection, in the Journal: Computers 2023, 12, 71. of 16/03/2023
• what: The authors focus on the physiological signals of the X-ITE Database. The authors evaluate different distance-based approaches with the aim of identifying individual segments of the corresponding tonic stimuli that lead to the best classification performance. The . . .
  

   

  

  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.