A unique method is presented for collecting, studying and interpreting thought-related electroencephalogram (EEG) data. The use of a chaos based nonlinear analysis technique is shown to be promising in providing insight into relating conscious thought to specific EEG data. A discussion of the practical limitations of this technique is also included.


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    Title :

    Analyzing Thought-related Electroencephalographic Data Using Nonlinear Techniques


    Contributors:


    Publication date :

    1990-12-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English