Abstract: Abstract The aim of this study is to investigate whether useful information can be extracted from an electroencephalographic (EEG) data set with a very high number of modes, and to determine which model is the most appropriate for this purpose. The data was acquired during the testing phase of a new drug expected to have effect on the brain activity. The implemented test program (several patients followed in time, different doses, conditions, etc.…) led to a six-way data set. After it was confirmed that the exploratory analysis of this data s...
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Topics: 
Data mining
Artificial intelligence
Machine learning