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.
Analyzing Thought-related Electroencephalographic Data Using Nonlinear Techniques
1990-12-01
Conference paper
No indication
English
New Attention Related Electroencephalographic Signals Classification Algorithm
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