Automated detection of major depressive disorder with eeg signals: a time series classification using deep learning

HIGHLIGHTS

• who: ALIREZA RAFIEI and colleagues from the Department of Mechatronics Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran have published the research work: Automated Detection of Major Depressive Disorder with EEG Signals: A Time Series Classification Using Deep Learning, in the Journal: (JOURNAL)
• what: The analysis shows that i) only the first minute of EEG recording is sufficient for MDD detection ii) models based on EEG recorded in eyes-closed restingstate outperform eyes-open conditions and iii) customizing the InceptionTime model can improve its efficiency for different assignments. This study proposes . . .
  

   

  

  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.