• DocumentCode
    3100357
  • Title

    Intelligent System for Assessing Human Stress Using EEG Signals and Psychoanalysis Tests

  • Author

    Sulaiman, Norizam ; Taib, Mohd Nasir ; Lias, Sahrim ; Murat, Zunairah Hj ; Aris, Siti Armiza Mohd ; Mustafa, Mahfuzah ; Rashid, Nazre Abdul ; Hamid, Noor Hayatee Abdul

  • Author_Institution
    Fac. of Electr. & Electron. Eng., Univ. Malaysia Pahang, Kuantan, Malaysia
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    363
  • Lastpage
    367
  • Abstract
    This paper presents a results of designing an intelligent system to evaluate human stress level using Electroencephalogram (EEG) signals and Psychoanalysis tests. The questionnaires for Psychoanalysis tests were created based on Cohen´s Perceived Stress Scale (PSS). EEG signals were captured using wireless EEG equipment. The Graphical User Interface (GUI) for the Psychoanalysis tests and EEG signals were created. The system was evaluated for 12 healthy subjects (7 females and 5 males). The results show that the intelligent system able to display the stress score, stress level and dominant index of EEG signals simultaneously. Thus, users can use the results of the system to take necessary action in order to improve their lifestyle.
  • Keywords
    electroencephalography; graphical user interfaces; human factors; medical signal processing; psychology; EEG signals; electroencephalogram signals; graphical user interface; human stress assessment; intelligent system; perceived stress scale; psychoanalysis tests; Biomedical monitoring; Electroencephalography; Graphical user interfaces; Humans; Indexes; Stress; EEG dominant index; EEG signals; GUI; Intelligent system; Psychoanalysis tests; Stress Level;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks (CICSyN), 2011 Third International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4577-0975-3
  • Electronic_ISBN
    978-0-7695-4482-3
  • Type

    conf

  • DOI
    10.1109/CICSyN.2011.82
  • Filename
    6005992