EEG based depression detection by machine learning: Does inner or overt speech condition provide better biomarkers when using emotion words as experimental cues?

Abstract

Authors

• Máté Kapitány-Fövény
  Nyírő Gyula National Institute of Psychiatry and Addictology, Budapest, Lehel utca 59., H-1135, Hungary; Faculty of Health Sciences, Semmelweis University, Budapest, Vas utca 17., H-1088, Hungary. Electronic address: kapitany-foveny.mate@semmelweis.hu.
• Mihály Vetró
  Department of Measurement and Information Systems, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Magyar Tudósok körútja 2., H-1117, Hungary.
• Gábor Révy
  Department of Measurement and Information Systems, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Magyar Tudósok körútja 2., H-1117, Hungary. Electronic address: m.gabrilovics@gmail.com.
• Dániel Fabó
  Department of Neurosurgery, Faculty of Medicine, Semmelweis University, Budapest, Amerikai út 57., H-1145, Hungary.
• Danuta Szirmai
  Department of Neurosurgery, Faculty of Medicine, Semmelweis University, Budapest, Amerikai út 57., H-1145, Hungary.
• Gábor Hullám
  Department of Measurement and Information Systems, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Magyar Tudósok körútja 2., H-1117, Hungary.

Keywords

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